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Pancreatic Neuroendocrine Tumor GARD

However in some cases, a pancreatic NET occurs outside of the pancreas. A NET arises from cells that produce hormones, so the tumor can also produce hormones. ... Pancreatic NETs are called either functional or nonfunctional. A functional pancreatic NET causes specific symptoms because it makes extra hormones, such as gastrin, insulin, or glucagon. ... Pancreatic NETs can be hard to diagnosis, often not identified until 5 to 10 years after they begin to grow. Most pancreatic NETs are not inherited and occur sporadically in people with no family history of NETs.

MEN1, PCSK1, ATM, BRCA2, C11orf65, IGF2, SST, TP53, CDKN2A, SLC6A2, MTOR, EPHB1, POMC, GH1, GCGR, DAXX, ELK3, KRT19, SSTR2, CHGA, SSTR5, UCHL1, FZD4, GCM2, DLGAP1, DCLK1, SSTR4, INA, STK11, EIF2AK3, TFE3, THBD, CXCR4, PAX8, TSC1, TTR, TYMS, VEGFA, ABO, CNPY2, MRGPRX4, GPR166P, VN1R17P, MIR196A1, GADL1, MRGPRX1, GPRC6A, OXER1, GPR119, GPR151, MRGPRX3, SEMA3A, AZIN2, ACCS, STK33, LGR6, ACSS2, MEG3, NEUROG3, LPAR3, LILRB1, PLA2G15, RET, SLC2A3, INSM1, GRN, FFAR1, GHRH, GAST, FGFR4, F3, EGFR, DHCR24, CSF1, CRH, CHGB, CD44, CCK, CALCA, VPS51, ATRX, ASS1, ASCL1, ANGPT2, HSF1, PDX1, SLC2A2, KIT, SLC2A1, SEA, SDHB, SDHA, AKT1, PYGM, PTH, PTEN, PPY, PTPA, PGR, PCYT1A, PCNA, NFKB1, NEUROD1, MUC1, SMAD4, STMN1, KRAS, H3P10

Early-Onset Alzheimer's Disease Wikipedia

This loss of brain volume affects ones ability to live and function properly, ultimately being fatal. [5] Beta-amyloid is a small piece of a larger protein called the amyloid precursor protein (APP). Once APP is activated, it is cut into smaller sections of other proteins. ... This type accounts for 30-70% of EOFAD. [4] This protein has been identified as part of the enzymatic complex that cleaves amyloid beta peptide from APP (see below). The gene contains 14 exons , and the coding portion is estimated at 60 kb, as reported by Rogaev (1997) [10] and Del-Favero (1999). [11] The protein the gene codes for (PS1) is an integral membrane protein. ... Alpha-secretase cleavage of APP, which precludes the production of Aβ, is the most common processing event for APP. 21 allelic mutations have been discovered in the APP gene. ... "A pathogenic mutation for probable Alzheimer's disease in the APP gene at the N-terminus of beta-amyloid". ... The International Journal of Ageing and Later Life . 10 (2): 9–29. doi : 10.3384/ijal.1652-8670.16302 .

Inclusion Body Myositis OMIM

Similar aggregates were identified in 10 to 15% of the nonvacuolated normal-appearing fibers. ... The authors discussed the abnormalities of APP processing, the role of abnormal intracellular protein folding, oxidative stress, and the potential role of cholesterol in the pathogenic cascade of IBM. ... To elucidate the possible role of beta-APP mismetabolism in the pathogenesis of IBM, Sugarman et al. (2002) selectively targeted beta-APP overexpression to skeletal muscle in transgenic mice, using the muscle creatine kinase promoter. They reported that older (more than 10 months) transgenic mice exhibited intracellular immunoreactivity to beta-APP and its proteolytic derivatives in skeletal muscle. In this transgenic model, selective overexpression of beta-APP led to the development of a subset of other histopathologic and clinical features characteristic of IBM, including centric nuclei, inflammation, and deficiencies in motor performance.

GNE, NT5C1A, APP, TARDBP, HLA-DRB1, SQSTM1, APOE, KHDRBS1, NUP62, DCTN4, GTF2H1, SDC1, CDR3, GSN, MAPT, TRBV20OR9-2, HLA-C, PLAAT4, FYCO1, MSTN, TNFRSF12A, NFAT5, CCR2, UBB, MALAT1, VCP, RBM45, AOC3, DCD, UCN2, DNAJB6, OPTN, KLRG1, MAP1LC3A, LILRB1, KDELR1, ICOSLG, SYNM, ROBO3, DDX58, CHMP1B, PABPC1, TIMP1, RRM2B, TWNK, FOXP3, KRT20, TTR, ACTB, THBS1, CST3, HLA-DQA1, HK1, H1-0, NR3C1, EPHB2, EMD, DES, CD47, TGFB1, CD38, CD36, CD34, MS4A1, CAPN3, BCL2, AOC2, HLA-DRB3, HMGB1, IFN1@, IFNG, TRIM21, AGER, MOK, PTPRC, PSME1, PSMB10, MAPK1, POLG, PMP22, MMP9, MMP1, MLF1, LMNA, IL6, IL1B, LOC102723996

Inclusion Body Myositis Orphanet

Prognosis After 5 years, most patients require a walking aid and after 10, a wheelchair. No change in mean life expectancy has been observed.
Inclusion Body Myositis Wikipedia

IBM is more common in men than women. [8] Patients may become unable to perform activities of daily living and most require assistive devices within 5 to 10 years of symptom onset. [9] sIBM is not considered a fatal disorder, but the risk of serious injury due to falls is increased. Death in IBM is sometimes related to malnutrition and respiratory failure. [10] There is no effective treatment for the disease. ... A 2007 review concluded there is no indication that the genes responsible for the familial or hereditary conditions are involved in sIBM. [20] Diagnosis [ edit ] Elevated creatine kinase (CK) levels in the blood (at most ~10 times normal) are typical in sIBM but affected individuals can also present with normal CK levels. ... "Improvement in aerobic capacity after an exercise program in sporadic inclusion body myositis" . J Clin Neuromuscul Dis . 10 (4): 178–84. doi : 10.1097/CND.0b013e3181a23c86 . ... External links [ edit ] GeneReview/NIH/UW entry on Inclusion Body Myopathy 2 Classification D ICD - 10 : M60.8 ICD - 9-CM : 359.71 OMIM : 147421 MeSH : D018979 DiseasesDB : 30691 External resources eMedicine : neuro/422 GeneReviews : Inclusion Body Myopathy 2 Orphanet : 611 v t e Systemic connective tissue disorders General Systemic lupus erythematosus Drug-induced SLE Libman–Sacks endocarditis Inflammatory myopathy Myositis Dermatopolymyositis Dermatomyositis / Juvenile dermatomyositis Polymyositis * Inclusion body myositis Scleroderma Systemic scleroderma Progressive systemic sclerosis CREST syndrome Overlap syndrome / Mixed connective tissue disease Other hypersensitivity / autoimmune Sjögren syndrome Other Behçet's disease Polymyalgia rheumatica Eosinophilic fasciitis Eosinophilia–myalgia syndrome fibrillin Marfan syndrome Congenital contractural arachnodactyly v t e Symptoms and conditions relating to muscle Pain Myalgia Fibromyalgia Acute Delayed onset Inflammation Myositis Pyomyositis Destruction Muscle weakness Rhabdomyolysis Muscle atrophy / Amyotrophy Other Myositis ossificans Fibrodysplasia ossificans progressiva Compartment syndrome Anterior Diastasis of muscle Diastasis recti Muscle spasm
Idiopathic Inflammatory Myopathy MedlinePlus

Idiopathic inflammatory myopathy is a group of disorders characterized by inflammation of the muscles used for movement (skeletal muscles). Idiopathic inflammatory myopathy usually appears in adults between ages 40 and 60 or in children between ages 5 and 15, though it can occur at any age. The primary symptom of idiopathic inflammatory myopathy is muscle weakness, which develops gradually over a period of weeks to months or even years. Other symptoms include joint pain and general tiredness (fatigue). There are several forms of idiopathic inflammatory myopathy, including polymyositis, dermatomyositis, and sporadic inclusion body myositis. Polymyositis and dermatomyositis involve weakness of the muscles closest to the center of the body (proximal muscles), such as the muscles of the hips and thighs, upper arms, and neck.
Inclusion Body Myositis GARD

Inclusion body myositis (IBM) is a progressive muscle disorder characterized by muscle inflammation, weakness, and atrophy (wasting). It is a type of inflammatory myopathy . IBM develops in adulthood, usually after age 50. The symptoms and rate of progression vary from person to person. The most common symptoms include progressive weakness of the legs, arms, fingers, and wrists. Some people also have weakness of the facial muscles (especially muscles controlling eye closure), or difficulty swallowing (dysphagia). Muscle cramping and pain are uncommon, but have been reported in some people.

Party And Play Wikipedia

For this reason, it is considered "a public health priority." [3] Contents 1 Terminology 2 Participants and drugs 3 Risks 4 Statistics 5 History and cultural significance 6 Criticism 7 See also 8 References 9 Further reading 10 External links Terminology [ edit ] The practice is nicknamed "party 'n' play" ("PNP" or "PnP") by some participants. ... Ketamine is used in chemsex encounters to "improve the experience of receptive anal intercourse or fisting". [10] A study of sauna participants in Barcelona, Spain, in 2016, found that the most commonly used drugs in chemsex are "GHB/GBL, cocaine, ecstasy, silver bars ( MDMA ), poppers and Viagra". [11] A 2014 study on chemsex in London, UK, indicated that the drugs associated with chemsex include mephedrone, GHB/GBL, crystal meth, ketamine, and cocaine. [10] Internet posts by men seeking PNP experiences often resort to slang to identify what drug they are partying with. [12] [13] These drugs tend to inhibit penile erection , [8] [9] a phenomenon known by the slang term crystal penis or tweaker dick . ... A key self-confidence issue for study participants was "body image", a concern that was heightened by the focus on social networking apps on appearance, because on these apps, there is a focus on idealized male bodies that are "toned and muscular". Men were also anxious about their sexual performance, and as such, taking drugs can reduce these anxieties and enable them to enjoy sex more. [10] [24] Criticism [ edit ] It has been observed that reliable data and relevant research are generally lacking and this situation is generating a climate of moral panic . ... David Stuart , retrieved 2019-09-01 ^ "Gay men need clear information about 'chemsex', not messages about morality" . The Guardian . 2015-11-10. ISSN 0261-3077 . Retrieved 2017-07-09 .

Abeta Amyloidosis, Dutch Type Orphanet

Etiology HCHWA-D is due to a mutation in the APP gene on chromosome 21q21.2, encoding the beta-amyloid precursor protein. ... Genetic testing reveals a mutation in the APP gene. Differential diagnosis Differential diagnoses include other conditions that could cause intracerebral hemorrhage such as coagulopathies, vasculitis (see these terms), CNS neoplasms, cerebral vascular malformations, ischemic stroke and antecedent trauma. ... HCHWA-D is often fatal, either acutely at first presentation or, on average, 10 years after symptom onset and after multiple strokes.

APP, APOE, PAOX, SMOX, DELEC1, TSHZ1, SCRN1, BHLHE40, TGFBR2, TGFB1, PSEN1, SERPINF2, SERPINF1, NOTCH3, SMAD2, LAMC2, CST3, CSF2, CRP, LINC01672

Abeta Amyloidosis, Iowa Type Orphanet

This subtype is due to a mutation in the APP gene (21q21.2), encoding the beta-amyloid precursor protein.
Cerebral Amyloid Angiopathy, App-Related OMIM

A number sign (#) is used with this entry because cerebral amyloid angiopathy (CAA) can be caused by mutation in the gene encoding the amyloid precursor protein (APP; 104760). Mutations in the APP gene can also cause autosomal dominant Alzheimer disease-1 (AD1; 104300), which shows overlapping clinical and neuropathologic features. ... Revesz et al. (2003) reviewed the pathology and genetics of APP-related CAA and discussed the different neuropathologic consequences of different APP mutations. ... In 4 affected members of an Italian family with cerebral amyloid angiopathy, Obici et al. (2005) identified a mutation in the APP gene (104760.0019). In 2 brothers from an extensive Iowa kindred with progressive dementia and cerebroarterial amyloidosis, Grabowski et al. (2001) identified a heterozygous mutation in the APP gene (N694D; 104760.0016). ... Human APP mRNA was detected in neurons and neuronal processes, but not in vessel walls. ... Herzig et al. (2006) extended their earlier studies by developing several murine models of APP-related CAA and APP-related parenchymal amyloid deposition.
Hereditary Cerebral Amyloid Angiopathy MedlinePlus

The Dutch type is the most common, with over 200 affected individuals reported in the scientific literature. Causes Mutations in the APP gene are the most common cause of hereditary cerebral amyloid angiopathy. APP gene mutations cause the Dutch, Italian, Arctic, Iowa, Flemish, and Piedmont types of this condition. ... Familial British and Danish dementia are caused by mutations in the ITM2B gene. The APP gene provides instructions for making a protein called amyloid precursor protein. ... Additionally, the ITM2B protein may be involved in processing the amyloid precursor protein. Mutations in the APP , CST3 , or ITM2B gene lead to the production of proteins that are less stable than normal and that tend to cluster together (aggregate). ... Learn more about the genes associated with Hereditary cerebral amyloid angiopathy APP CST3 ITM2B Inheritance Pattern Hereditary cerebral amyloid angiopathy caused by mutations in the APP , CST3 , or ITM2B gene is inherited in an autosomal dominant pattern , which means one copy of the altered gene in each cell is sufficient to cause the disorder.
Abetal34v Amyloidosis Orphanet

This subtype is due to a mutation in the APP gene (21q21.2), encoding the beta-amyloid precursor protein.
Abetaa21g Amyloidosis Orphanet

This subtype is due to a mutation in the APP gene (21q21.2), encoding the beta-amyloid precursor protein.
Abeta Amyloidosis, Arctic Type Orphanet

This subtype is due to a mutation in the APP gene (21q21.2), encoding the beta-amyloid precursor protein.
Abeta Amyloidosis, Italian Type Orphanet

This subtype is due to a mutation in the APP gene (21q21.2), encoding the beta-amyloid precursor protein.

Pustular Psoriasis Wikipedia

This skin eruption is often accompanied by a fever , muscle aches , nausea , and an elevated white blood cell count . [1] Annular pustular psoriasis (APP), a rare form of GPP, is the most common type seen during childhood. [6] APP tends to occur in women more frequently than in men, and is usually less severe than other forms of generalized pustular psoriasis such as impetigo herpetiformis. [6] This form of psoriasis is characterized by ring-shaped plaques with pustules around the edges and yellow crusting. [6] APP most often affects the torso, neck, arms, and legs. [6] Diagnosis [ edit ] Classification [ edit ] Pustular psoriasis is classified into two major forms: localized and generalized pustular psoriasis . [1] Within these two categories there are several variants: Classification of Localized and Generalized Pustular Psoriasis Localized pustular psoriasis Palmoplantar pustulosis (acute and chronic) Acrodermatitis continua (of Hallopeau) Generalized pustular psoriasis (von Zumbusch) acute generalized pustular psoriasis Acute generalized pustular psoriasis of pregnancy ( impetigo herpetiformis ) Infantile and juvenile Subacute circinate and annular Management [ edit ] injection of methotrexate This section is empty. ... "Acrodermatitis continua". Dermatology Online Journal . 10 (3): 9. ISSN 1087-2108 . PMID 15748579 . ^ Oumeish, Oumeish Youssef; Parish, Jennifer L. (2006). ... External links [ edit ] Classification D ICD - 10 : L40.1 ICD - 9-CM : 696.1 This cutaneous condition article is a stub .

IL36RN, IL1B, CARD14, IL1A, IL1RL2, IL17A, PI3, TNF, IL22, AP1S3, TLR3, TNFAIP3, MOG, TNIP1, LDHA, IL23A, NOD2, IL1F10

Alzheimer Disease OMIM

Cerebral hypometabolism and impaired episodic memory were observed 10 years before expected symptom onset. ... Rovelet-Lecrux et al. (2006) estimated that in their whole cohort of 65 ADEOAD families, the frequency of the APP locus duplication was roughly 8% (5 of 65), which corresponds to half of the contribution of APP missense mutations to ADEOAD. ... Revesz et al. (2003) reviewed the pathology and genetics of APP-related CAA and discussed the different neuropathologic consequences of different APP mutations. ... To determine whether decreased neprilysin (MME; 120520) levels contribute to the accumulation of amyloid deposits in AD or normal aging, Russo et al. (2005) analyzed MME mRNA and protein levels in cerebral cortex from 10 cognitively normal elderly individuals with amyloid plaques (NA), 10 individuals with AD, and 10 controls who were free of amyloid plaques. ... By neuropathologic examination, Wilkins et al. (2006) found no difference in the presence or degree of neurofibrillary tangles, senile plaques, Lewy bodies, or amyloid angiopathy between 10 African American and 10 white individuals with AD.

TOMM40, TREM2, ABCA7, APP, APOE, PSEN2, PSEN1, MAPT, SORL1, PRNP, CASP3, BACE1, GSK3B, NCSTN, IDE, IL1B, HFE, A2M, ACE, DHCR24, BIN1, ESR1, ADAM10, ADAMTS1, PGRMC1, VEGFA, ARC, CYP46A1, SLC30A4, VSNL1, PICALM, HMOX1, HLA-DRB5, IGF1R, IGF1, INPP5D, IGF2, MPO, NPY, NOS3, PLAU, PLCG2, PPARG, RELN, MTHFR, PYY, NECTIN2, SLC2A4, IGF2R, SOD2, MAOB, TF, LEP, TFAM, INSR, INS, TNF, TPI1, EPHA1, F2, ENO1, CR1, CASS4, ATP5F1A, CLU, CHRNB2, CHRNA7, MIR766, CD33, IQCK, EIF2S1, MIR505, APOC1, CALM1, MIR100, MIR146A, BDNF, BCL2, MIR375, MIR296, BCHE, MIR708, TPP1, SLC30A6, SNAR-I, DPYSL2, ACHE, CD2AP, GAPDHS, PCDH11X, CYP2D6, MIR4467, CRH, MIR3622B, BAX, AMFR, ABI3, CST3, MS4A4A, WWOX, BRCA2, FANCD2, TFF1, TAS2R64P, CTNNB1, SUCLA2, SNCA, CTSD, RNR2, NEFL, TAS2R62P, SOD1, ITPR3, ITPR2, ITPR1, FLAD1, PSENEN, TP53, CDK5R1, EIF2AK3, UBQLN1, ALG3, PIK3CG, PIK3CA, PIK3CD, SERPINA3, PIK3CB, DOCK3, APLP1, OGDH, CREB1, NOTCH1, CASP6, NGF, CCND1, FOS, DLX4, DLG4, DDIT3, RABGEF1, PEBP1, PYCARD, DAPK2, KCNIP3, CTSB, CSF2, CRMP1, CTSG, EHMT2, ENO2, ERBB4, TMED10, TERF2IP, PTK2B, FCN2, PTGES3, FGF2, ACKR1, DNM1L, SDC3, G6PD, GCHFR, ITM2B, CREBBP, MAP3K8, TRPM7, ADI1, MTCO2P12, UPK3B, ACTB, AKT1, AKT2, ANXA1, APBB1, DNLZ, STS, MIR34A, BRCA1, MIR137, C5AR1, DDR1, CAMK4, TMED10P1, MPEG1, C9orf72, ESCO1, CDCA5, PRRT2, MAP1LC3B, CAT, EHMT1, CNR2, SPPL2B, RAB9A, NRXN3, GFAP, SYNJ1, SERPINB5, CD99, MME, MNAT1, CCL2, RRAS, RPS27, RPS21, RAP1A, PYCR1, COX2, PTS, PTGS2, MTHFD1, MMUT, NCAM1, NFIA, NFIB, MAPK8, MAPK3, PRKCB, PRKCA, PPBP, MED1, NFIC, PPARA, NFIX, PKD1, NOTCH3, NRGN, MEOX2, MEF2A, SPRR2A, TTC3, GRIN2A, DENR, GRIN2B, RAB7A, LRP8, HPRT1, HSP90AA1, VIM, IDUA, UTRN, SUMO1, UBE2I, TTK, TPT1, SULT1E1, IL1A, IL6, IL12A, TSPAN6, TIE1, TGFB1, TG, KNG1, LAMC2, LGALS3, TERT, TERC, STIM1, H3P17

Alzheimer Disease 13 OMIM

For a general phenotypic description and a discussion of genetic heterogeneity of Alzheimer disease, see 104300. Mapping Liu et al. (2007) conducted a genome screen of 103 patients with late-onset AD who were ascertained as part of the Genetic Research in Isolated Populations (GRIP) program that was conducted in an isolated population from the southwestern area of the Netherlands. Genealogic information resulted in an extremely large and complex pedigree of 4,645 members. The pedigree was split into 35 subpedigrees to reduce the computational burden of linkage analysis. The strongest evidence for linkage, hlod = 5.20 at marker D1S498, was obtained at chromosome 1q21 (AD13).
Early-Onset Autosomal Dominant Alzheimer Disease GARD

There are three subtypes of early-onset familial AD which are each associated with changes (mutations) in unique genes: (1) Alzheimer disease, type 1 is caused by mutations in the APP gene (2) Alzheimer disease, type 3 is caused by mutations in the PSEN1 gene (3) Alzheimer disease, type 4 is caused by mutations in the PSEN2 gene.
Alzheimer Disease 11 OMIM

Farrer et al. (2003) observed an unusually high prevalence of dementia of the Alzheimer type in Wadi Ara, an inbred Arab community in northern Israel comprising approximately 850 persons over the age of 60 years. A 10-cM genomic scan revealed significant allelic association with AD (p less than 0.05) at locations on chromosomes 2, 9, 10, and 12.
Alzheimer Disease 6 OMIM

Ertekin-Taner et al. (2000) reported linkage to chromosome 10 with a maximum lod score of 3.93 at 81 cm, close to D10S1225. ... These results provided strong evidence for a novel LOAD locus on chromosome 10 that acts to increase amyloid beta. ... However, the results did not converge with linkage analysis, suggesting that there is more extensive heterogeneity on chromosome 10 than had been appreciated. Liang et al. (2009) examined 28 genes on chromosome 10 for association with LOAD in a Caucasian case-control cohort of 506 cases and 558 controls. ... Plasma A-beta-42 levels among individuals over 50 years old in 10 extended LOAD families were also significantly associated with PLAU haplotypes (p = 0.005). ... In a study of 363 Japanese LOAD patients, with validation in a second set of 336 Japanese LOAD patients, Miyashita et al. (2007) found that 7 SNPs, spanning about 38 kb in intron 9 of the CTNNA3 gene, were associated with late-onset AD in females (p values of 5.95 x 10(-6) to 7.66 x 10(-4) after correction).
Alzheimer Disease 5 OMIM

Farrer et al. (2003) observed an unusually high prevalence of dementia of the Alzheimer type in Wadi Ara, an inbred Arab community in northern Israel in which approximately 850 persons were over the age of 60 years. A 10-cM genomic scan revealed significant allelic association with AD (p less than 0.05) at locations on chromosomes 2, 9, 10, and 12.
Alzheimer Disease, Familial Early-Onset, With Coexisting Amyloid And Prion Pathology OMIM

The proportion of senile plaques marked for each antibody alone was smaller, and, in particular, senile plaques marked for PrP(106-126) represented only 5 to 10% of the whole population. Molecular Genetics In 5 deceased members from a Swiss family with early-onset Alzheimer disease with coexisting beta-amyloid and prion protein pathology, Leuba et al. (2000) did not identify mutations in the beta-amyloid precursor protein (104760), presenilin-1 (104311), or presenilin-2 (600759) genes.
Alzheimer Disease 8 OMIM

Within this candidate region, 1 gene of particular interest was that encoding cystatin-3 (CST3; 604312), because it is known to be an amyloidogenic protein and is codeposited with the amyloid-beta precursor protein (APP; 104760) in amyloid plaques in the brain of AD patients. Using a covariate-based linkage method, Olson et al. (2001) showed that the APP region on chromosome 21q21 is strongly linked to AD-affected sib pairs of the oldest current age (i.e., age either at last exam or at death) who lacked E4 alleles at the apolipoprotein E (APOE; 107741) locus. ... Two-locus analysis provided evidence of strong epistasis between 20p and the APP region, limited to the oldest age group and to those lacking E4 alleles at the APOE locus.
Alzheimer Disease 2 OMIM

Reiman et al. (1996) suggested that PET may offer a relatively rapid way of testing treatments to prevent Alzheimer disease in the future. Reiman et al. (2001) found that 10 cognitively normal apoE4 heterozygotes aged 50 to 63 years also had abnormally low measurements of the cerebral metabolic rate for glucose in the same regions as AD patients. ... The next highest lod score was to chromosome 5q35, and no linkage was found to chromosomes 9, 10, and 12. Harold et al. (2009) undertook a 2-stage genomewide association study of Alzheimer disease involving 16,000 individuals, which they stated was the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), they replicated the established association with the APOE locus (most significant SNP, rs2075650, P = 1.8 x 10(-157)). Molecular Genetics Corder et al. (1993) found that the risk for late-onset AD increased from 20 to 90% and mean age of onset decreased from 84 to 68 years with increasing number of APOE*E4 alleles (107741.0016) in 42 families with late-onset AD. Onset was early in 4 other families tested; 2 had chromosome 21 APP (104760) mutations and 2 showed linkage to chromosome 14, thus representing AD1 (104300) and AD3 (607822), respectively.
Early-Onset Autosomal Dominant Alzheimer Disease Orphanet

Etiology EOAD is the consequence of either PSEN1 mutations (69%), APP mutations (13%), or APP duplication (7,5%), and exceptionally of PSEN2 mutations (2%).
Alzheimer Disease 4 OMIM

A number sign (#) is used with this entry because Alzheimer disease-4 (AD4) is caused by heterozygous mutation in the presenilin-2 gene (PSEN2; 600759) on chromosome 1q42. For a phenotypic description and a discussion of genetic heterogeneity of Alzheimer disease, see 104300. Clinical Features Bird et al. (1988) described 5 German kindreds with an autosomal dominant early-onset form of Alzheimer disease. All families were descendants of a group of immigrants, known as the Volga Germans, who came to the United States between 1870 and 1920. Their ancestors had moved from Germany to the southern Volga region of Russia in the 1760s.
Familial Alzheimer Disease GARD

There are three subtypes of early-onset familial AD which are each associated with changes (mutations) in unique genes: (1) Alzheimer disease, type 1 is caused by mutations in the APP gene (2) Alzheimer disease, type 3 is caused by mutations in the PSEN1 gene (3) Alzheimer disease, type 4 is caused by mutations in the PSEN2 gene.
Alzheimer Disease 15 OMIM

For a general phenotypic description and a discussion of genetic heterogeneity of Alzheimer disease, see 104300. Mapping Liu et al. (2007) conducted a genome screen of 103 patients with late-onset AD who were ascertained as part of the Genetic Research in Isolated Populations (GRIP) program that was conducted in an isolated population from the southwestern area of the Netherlands. Genealogic information resulted in an extremely large and complex pedigree of 4,645 members. The pedigree was split into 35 subpedigrees to reduce the computational burden of linkage analysis. They found significant evidence of linkage of AD to 3q22-q24 (AD15), in a region of 18 cM from D3S3514 to D3S3626 that reached a maximum hlod of 4.44 at marker D3S1579.
Alzheimer Disease 14 OMIM

For a general phenotypic description and a discussion of genetic heterogeneity of Alzheimer disease, see 104300. Mapping In a genome screen of individuals from an isolated population from the southwestern area of the Netherlands, ascertained as part of the Genetic Research in Isolated Populations (GRIP) program, Liu et al. (2007) found the strongest evidence of linkage for chromosome 1q21 (AD13; 611152). Approximately 30 cM upstream of this locus, at 1q25, another peak (AD14) was found (hlod = 4.0 at marker D1S218). Liu et al. (2007) noted that these 2 loci were in a linkage region spanning 1q21-q31 identified by Zubenko et al. (1998), Hiltunen et al. (2001), Myers et al. (2002), and Blacker et al. (2003). Haplotype analysis showed that the 2 linkage peaks on chromosome 1q21 and 1q25 are explained by different haplotypes, of 15 cM and 21 cM, respectively, segregating in different families.
Alzheimer Disease 12 OMIM

Age at disease onset ranged from 53 to 78 years, but in 10 of the families there was at least 1 member with age at onset of less than 65 years. ... All 6 affected members of this family shared a haplotype of 10 markers spanning about 40 cM. The marker with the highest score was D8S1119.
Alzheimer Disease 3 OMIM

In 2 Belgian families with early-onset autosomal dominant AD, Van Broeckhoven et al. (1987) excluded linkage to the APP locus on chromosome 21q. One pedigree contained 36 patients in 6 generations, and the second had 22 patients spanning 5 generations.
Alzheimer Disease 10 OMIM

Mutation analysis of coding exons of 29 candidate genes identified only an exonic silent mutation in the PAXIP1 gene (608254), 38030G-C in the exon 10 genomic sequence, which affected codon 626.
Alzheimer Disease 7 OMIM

For a phenotypic description and a discussion of genetic heterogeneity of Alzheimer disease (AD), see 104300. Mapping In a systematic survey of the human genome in patients with AD, Zubenko et al. (1998) identified D10S1423, located at 10p13, as a candidate susceptibility locus. The allelic associations in this survey were observed in independent samples of autopsied AD cases and controls from geographically disparate sites (Boston and Pittsburgh). Majores et al. (2000) replicated these findings by identifying an association of the D10S1423 234-bp allele with AD in an ethnically homogeneous group of 397 German AD cases and controls. Zubenko et al. (2001) described a prospective, longitudinal, double-blind assessment of the age-specific risk of AD encountered by 325 asymptomatic first-degree relatives of AD probands who carried the D10S1423 234-bp allele, the APOE E4 allele (107741), or both, after 11.5 years of systematic follow-up.

Uric Acid Concentration, Serum, Quantitative Trait Locus 1 OMIM

The findings were replicated in the ARIC cohort of 11,024 white and 3,843 black individuals, yielding p values of 9.7 x 10(-30) and 9.8 x 10(-4), respectively. The combined p value for white individuals from all 3 cohorts was 2.5 x 10(-60), and further analysis showed that the SNP was direction-consistent with the development of gout in white participants (OR of 1.74; p = 3.3 x 10(-15)). ... Evidence for both an increased rate of uric acid synthesis and an impaired net elimination of uric acid by the kidney has been advanced. ... The Q126X allele was associated with a significantly increased risk of hyperuricemia (odds ratio (OR) of 3.61; p = 2.91 x 10(-7)) and gout (OR of 4.25, p = 3.04 x 10(-8)). The Q141K allele was associated with a significantly increased risk of hyperuricemia (OR of 2.06, p = 1.53 x 10(-11)) and gout (OR of 2.23; p = 5.54 x 10(-11)).

ABCG2

Neuroendocrine Tumor Wikipedia

H&E stain Specialty Endocrine oncology Neuroendocrine tumors ( NETs ) are neoplasms that arise from cells of the endocrine ( hormonal ) and nervous systems . ... G1 and G2 neuroendocrine neoplasms are called neuroendocrine tumors (NETs) – formerly called carcinoid tumours. ... Unsourced material may be challenged and removed. ( November 2015 ) ( Learn how and when to remove this template message ) NETs from a particular anatomical origin often show similar behavior as a group, such as the foregut (which conceptually includes pancreas, and even thymus, airway and lung NETs), midgut and hindgut ; individual tumors within these sites can differ from these group benchmarks: Foregut NETs are argentaffin negative. ... Bone metastasis is uncommon. Hindgut NETs are argentaffin negative and rarely secrete 5-HT, 5-HTP, or any other vasoactive peptides. ... Not all cells are immediately killed; cell death can go on for up to two years. [ citation needed ] PRRT was initially used for low grade NETs. It is also very useful in more aggressive NETs such as Grade 2 and 3 NETs [83] [84] provided they demonstrate high uptake on SSTR imaging to suggest benefit.

MEN1, CDKN1B, SSTR2, DAXX, ATRX, BRAF, TYMS, PTHLH, SSTR3, SSTR1, BAP1, MTOR, SST, GAST, SLC6A2, INSM1, CTNNB1, RET, PIK3CA, DNMT3A, POMC, EPHB1, PIK3CG, PIK3CD, CHGA, ELK3, CHEK2, PIK3CB, GRN, CD274, SMUG1, AKT1, GNA12, TP53, SYP, VEGFA, CDKN2A, ASCL1, BCL2, ENO2, NCAM1, GCG, MYCN, EGFR, MGMT, KIT, RASSF1, VHL, SCLC1, SSTR5, FOLH1, NKX2-1, KRAS, CALCA, CCND1, TAC1, PTPRF, VIP, NTS, PAX5, RHBDF2, GRP, IGF1, SDHD, GOT1, MAP2K7, CCK, ERBB2, DLL3, PPY, CXCL12, TP63, SMAD4, MUC1, INS, GCGR, CKAP4, NEUROD1, ISL1, MYC, NGF, SATB2, GLP1R, HSP90AA1, H3P10, HRAS, CHGB, CALR, NTRK1, TEK, DLK1, CDK4, CDX2, TGFA, UCHL1, RPE65, PGR, PDGFRA, CARTPT, CRH, UVRAG, SLC5A5, CXCR4, IGF1R, OTP, IL6, PHLDA3, TTF1, PAX8, TACR1, STK11, TRIM21, PLA2G15, SCG2, SQLE, SLC18A2, TERT, HDAC9, SLC2A1, PROM1, BCL2L11, NTSR1, PAX6, NAMPT, NOCT, INA, PLCB3, CD200, MKI67, PDX1, MAPK1, NES, HPSE, PTEN, STMN1, ABO, RIPK1, RORC, RAF1, IL1B, TRPV1, GATA3, ANGPT2, FOXM1, PTK2B, SDHAF2, ACCS, BDNF, EPAS1, EGF, ACSS2, MIB1, DNMT1, CCN2, TRPM8, CLDN4, CPE, CD34, CD44, FLNA, CEACAM5, B3GAT1, GH1, GIP, GHSR, GIPR, ADCY2, ALB, H3P28, TPPP2, H4C5, GGH, MIR1290, TMEM209, ELOA3, H4C13, H4C14, GPR151, SRPX, LGR5, TNFSF11, PSMG1, DCBLD2, H4-16, NRP1, MRGPRX4, SOCS1, H4C2, MIR3137, MRGPRX3, TNFRSF25, H3P12, CYYR1, AZIN2, DNER, AK6, MLIP, LMLN, NRP2, GPR68, MIR1246, H4C8, MAFK, MIR150, MIR155, MBOAT4, H4C9, MIR21, POTEKP, VN1R17P, SNORD95, GPR166P, ARID1A, EID3, SLC7A5, MIR375, H4C15, FZD4, MIRLET7C, OXER1, H4C12, HMGA2, H4C3, ARX, ELOA3B, GPRC6A, H4C11, H4C6, C17orf97, POTEM, MRGPRX1, ARMH1, H4C1, GADL1, ACTBL2, H4C4, BRI3, SQSTM1, ISYNA1, GHRL, ACOT7, KLF12, KRT20, SLC27A4, TET2, BCOR, EBNA1BP2, RALBP1, PGRMC1, LAMTOR1, FBXW7, MEG3, MAML3, TMEM127, NTNG1, ATRAID, KHDRBS1, DCTN4, SNORD61, NUP62, SNORD48, NTSR2, LPAR3, MAPK8IP2, SRRM2, BRD4, TRAM1, SPINK4, XIST, PPWD1, RBMS3, SETD1B, ZHX2, TNFSF13B, USE1, MAK16, UBE2Z, ONECUT2, FHL5, GCM2, DCLK1, ZBED1, ARHGEF2, PALB2, ALG9, SNED1, TET1, PDCD1LG2, TMPRSS13, MTA1, RPAIN, H1-10, EEF1E1, LGR6, PRMT5, NEUROD4, YAP1, SCML2, LANCL1, PAK4, RABEPK, ZNF197, CTNNBL1, PNO1, INSL5, EPB41L5, HDAC5, AKT3, CD302, GBA3, DCAF1, ATAT1, SERPINA3, VCL, CGA, ESR1, ERBB4, EPHB2, E2F1, DUSP2, DSG3, DPT, DPP4, DMBT1, DDC, DAD1, VCAN, CREB1, CRABP1, KLF6, CLU, FOXN3, CEACAM7, CEACAM3, ESR2, ETFA, EZH2, GHRH, HSPA4, AGFG1, HMOX1, HMGA1, GTF2H1, GSN, GNAS, GNA15, GFRA1, F3, GDNF, FSHR, FLT4, FLII, FLI1, FOXO1, FHIT, FGFR4, CGB3, CFL1, UQCRFS1, CDKN2C, FAS, APRT, APLP1, XIAP, APC, SLC25A6, SLC25A4, ANGPT1, ALK, AKT2, AFP, PARP1, ADCYAP1R1, ADCYAP1, ACVRL1, ACTN4, ACTG2, ACTG1, ACR, AQP4, ARF1, ATM, CASP3, CDK6, CD40LG, CD36, CD33, CCNE1, CCKBR, SERPINA6, CAV1, CA9, ATOH1, VPS51, C5, BRS3, BRCA2, DST, BAX, AVP, ATP4A, HTC2, HTR2A, TNC, IAPP, SDC1, SCT, SORT1, RNASE3, RARB, PTPRZ1, PTPRM, PTBP1, PSMD7, PSG2, PRKAR1A, PPP4C, POU4F1, PNN, PKD2, PITX2, PCYT1A, SERPINA5, PAX4, SDCBP, SDHB, SDHC, ST2, UBE2I, TPM3, TPH1, TNF, TM7SF2, TERC, TAT, STAT3, SSTR4, SEMA3F, SSR2, SOX11, SOX4, SOX2, SLPI, SLC3A2, SLC1A5, SFRP1, PAK3, PAK1, TNFRSF11B, KIF11, MDK, MAOA, LCN2, RPSA, L1CAM, KRT19, KRT7, KRT5, IL12A, MET, IL9, CXCL8, IL2, IL1A, IGFBP1, IGF2, IFNA13, IFNA1, MDM2, MFAP1, ODC1, MUTYH, NTRK2, NT5E, NRAS, NOTCH3, NPY, NOTCH1, NFKB1, NEFM, MUC4, CD99, NUDT1, COX2, MTAP, MST1R, MST1, MSMB, MMP7, MLH1, PTPRC

Alzheimer Disease MedlinePlus

Affected individuals usually survive 8 to 10 years after the appearance of symptoms, but the course of the disease can range from 1 to 25 years. ... The early-onset form is much less common than the late-onset form, accounting for less than 10 percent of all cases of Alzheimer disease. ... Researchers have found that this form of the disorder can result from mutations in the APP , PSEN1 , or PSEN2 genes. When any of these genes is altered, large amounts of a toxic protein fragment called amyloid beta peptide are produced in the brain. ... As a result, people with Down syndrome have three copies of many genes in each cell, including the APP gene, instead of the usual two copies. ... Learn more about the genes associated with Alzheimer disease APOE APP PSEN1 PSEN2 Inheritance Pattern Early-onset familial Alzheimer disease is inherited in an autosomal dominant pattern , which means one copy of an altered gene in each cell is sufficient to cause the disorder.

APP, ACE, TREM2, ADAM10, APOE, PSEN1, GSK3B, HFE, MAPT, PLAU, NPY, BCL2, CASP3, BDNF, IDE, INSR, IL1B, LEP, BACE1, IGF2, IGF1R, ATP5F1A, INS, BAX, CR1, A2M, ABCA7, TOMM40, CD2AP, BIN1, EPHA1, CLU, PICALM, NOS3, PSEN2, APOC1, MPO, SORL1, VSNL1, INPP5D, NECTIN2, MS4A4A, PCDH11X, CASS4, BCHE, MIR146A, CYP46A1, DHCR24, CHRNA7, NCSTN, VEGFA, DPYSL2, PRNP, ESR1, PPARG, RELN, HMOX1, ACHE, CST3, MAOB, TNF, MTHFR, IGF1, CD33, TFAM, IL6, CYP2D6, CRH, SOD2, UNC5C, PLCG2, TF, ABI3, WWOX, SLC30A6, CHRNB2, ARC, PGRMC1, F2, CALM1, EIF2S1, HLA-DRB5, ENO1, TPI1, IGF2R, SLC30A4, MIR296, SLC2A4, MIR100, IQCK, MIR375, AMFR, SNAR-I, ADAMTS1, MAPK14, PIN1, PYY, PTGS2, S100B, PPARGC1A, NOS2, NGFR, NGF, NFE2L2, SOD1, SYP, CDK5, NGB, MIR505, GAPDHS, MME, MAP2, CTNNB1, TPP1, LRP1, IRS1, CHAT, GAPDH, MIR4467, MIR3622B, AGER, MIR766, MIR708, CAV1, NTRK2, PTGS1, APLP2, ADAM17, MFN2, DNM1, HSF1, GSR, IL33, CCR5, HSPD1, HSPB1, CIB1, CASP8, IKBKB, SERPINF1, ATP7A, MT2A, ADAM9, INS-IGF2, BCL2L2, CASP9, GAB2, PTK2B, PLCB1, ABCA1, GRN, CASP12, SQSTM1, FERMT2, HLA-DRB1, NFIC, CSF1R, APOB, MARK4, HSPG2, MS4A6A, CELF1, VCP, SYNJ1, ZCWPW1, MS4A4E, APH1B, APOC2, F13A1, EXOC3L2, PLXNA4, ADAMTS4, AKAP9, MADD, DST, PILRA, FRMD4A, LAMP1, SLC24A4, GLIS3, SPON1, CADPS2, IL34, COL18A1, TRIP4, SPI1, TGFB2, BCL3, MTHFD1L, AICDA, IL6R, DCHS2, MEGF10, SLC16A7, EPHX2, NDUFAF6, DSG2, OSBPL6, CELF2, UBE2L3, SPPL2A, MAPK7, CDH13, LAMA1, SGK1, SUCLG2, LUZP2, PTPRG, ST6GAL1, AP2A2, RBFOX1, SORCS3, TSPOAP1-AS1, TLN2, ZAP70, ALDH1A2, TCF7L2, FMN2, OTOF, EXOC4, HSD17B10, DNM1L, ALOX5, GULOP, HTR2A, AHCYL1, SDR42E2, HTR6, GTF2H1, GRM5, IAPP, AHSA1, STAG3, ALB, FARP1, TSHZ1, HRES1, AGFG2, DCAF7, SIGMAR1, BCKDK, RTN3, TPPP, HSPA4, HCLS1, HSP90AA1, G3BP1, PGAM5P1, BACE1-AS, KHDRBS1, ALDH2, CFH, HCRT, GPC6, ABCA8, GLP1R, NR3C1, TNRC6A, IL19, PARVB, DDX25, BZW2, FCN2, FGF10, GOLIM4, LINC00476, HPGDS, FANCD2, PDE7B, SIGLEC7, TSPAN16, TRPC4AP, POLDIP2, CNTNAP2, RNF19A, BACE2, UBQLN1, ITSN2, GRIN2B, ZGLP1, BCAS3, EPDR1, TMED9, ENO2, CYCS, ANXA1, EPHB2, EPO, RAPGEF6, APH1A, LARS1, EYA4, SNX9, ESR2, WAC, SLC8A1-AS1, DCTN4, RMDN1, QPCT, MTOR, SGK3, FBXL7, SZT2, GIP, ACSL6, WWC1, CLEC16A, KAZN, LINC01672, PRRC2C, COLGALT2, PLD3, HECW1, ZNF292, MYO16, DKK1, SIRT2, ACOT7, PSIP1, CLASRP, LINC00271, SIRT3, SIRT1, GFAP, NUP62, FYN, CBLC, INHCAP, TRIM51CP, GABPA, GABRA2, GABRG3, DAPK2, SMUG1, GAP43, GATA1, GCG, GCHFR, TARDBP, NCS1, GDNF, HDAC6, RAB3D, MVP, OGG1, LINC02268, LINC02325, SOAT1, ACTG2, ACTG1, SNCG, SNCA, SNCB, SNAP25, NOS1, ACTB, MEF2C-AS1, SLC6A4, NPC1, SLC6A3, GEMIN7-AS1, SLC1A2, LINC01508, LINC01725, NEFL, COX2, TNFRSF1B, STAG3L5P, TLR4, TLR2, MSH2, THY1, MT3, TH, SST, STAG3L5P-PVRIG2P-PILRB, TGFB1, TFF1, RNR2, LINC02653, LINC01712, TCF3, NRGN, CX3CL1, ELMO1, CCL2, PIK3CG, ABCA2, PLA2G1B, EIF2AK2, SERPINA3, PLG, MAPK8, MAPK1, PRKCB, PRKCA, PRKAB1, PRKAA2, PRKAA1, PMS2P1, POLD1, PTPA, PON1, PIK3CD, PIK3CB, PIK3CA, MOK, UPK3B, SORT1, ROS1, SERPINE1, REST, REN, RELB, RAC1, LINC01965, PVR, PVALB, PTPRA, LINC00972, ABCB1, LINC02008, MTCO2P12, TP53, OVCH1-AS1, MOBP, MNAT1, SLC4A8, AGT, INSIG1, AZIN1-AS1, EIF3E, FHL5, IRF2, GSTO1, ITM2B, GRAP2, LIPG, ADIPOQ, KL, MSC, LRAT, AP4M1, CCRL2, IL18, IL17A, IL12A, ST18, IFNG, ARL17B, AKT1, AIF1, KRBOX1, IGFALS, HDAC9, PHF14, IL10, IL1A, ALOX12-AS1, MICAL2, IL2RB, IL4, CLOCK, CXCL8, KCNN2, MPZL1, HERC2, VDR, TFEB, MAOA, COX10-AS1, ZNF232, YWHAZ, VLDLR, PARP1, UTRN, BCAM, UCHL1, UBB, TYROBP, AFF1, TTR, TRPM1, MMP9, AIMP2, LTBP2, KNG1, CRADD, CACNA1G, LAMC2, RPSA, CDK5R1, SUCLA2, LCN2, LDLR, BECN1, LPL, PDE5A, ABCB11, APOC4-APOC2, KHSRP, DENR, AGPS, LPA, CDKAL1, PPARA, MEIKIN, COL4A4, CRK, CEACAM22P, SCIMP, CREB1, CR1L, ZNF862, SH2D4B, CP, PNPLA7, SIMC1, GGACT, COMT, COL12A1, FAM181A, BRCA2, PPP1R37, GPR141, TENM3-AS1, CNR2, L3MBTL4, UBXN11, ACKR2, TMEM132C, CASTOR3, CLPTM1, STRADA, FNIP1, CDCA5, NLRP3, APOA1, CRMP1, KAT8, CSMD1, CLMN, PINK1, CYP8B1, AHNAK, MIR132, MIR107, CUX1, POTEM, PPP1R3B, FAS, SAP30L, ANKRD55, CTSD, CTSB, GEMIN7, EHMT1, LINC01184, CTNNA2, LINC01185, TMC5, THSD4, CCDC134, SP6, LINC01567, PDCD1LG2, SETD7, APOD, BHMG1, CSF2, HYI, BLOC1S3, TSPO, CHRNA4, CHRNA2, TAS2R62P, C3orf67, C9orf72, CCDC83, CCDC89, KDM1B, CD14, TGM6, ATXN7L1, RSPO4, ADGRF2, STH, TAS2R64P, CALHM1, RUNX1T1, PPP1R42, ALPK2, PCSK9, CAT, ANKRD31, CASP6, NKAIN3, TRIQK, CALB1, STEAP1B, CASP1, EPHA1-AS1, CAPN1, APOC4, FAM181A-AS1, NKPD1, SPRED2, CD36, SCARB1, PLPP4, MED12L, ARAP2, CHN2, CHI3L1, ACTBL2, C10orf71, MCIDAS, LRRK2, AKR1C4, ANO4, AGBL1, CEACAM20, ZNF813, RMDN3, CETP, CDR1, LINC00343, TCAM1P, APOC1P1, IGSF23, RMDN2, CDK1, SLC25A48, NKAIN2, FSIP1, CD68, BMPER, C3, CD40, CYP19A1, CRP, NIT2, ANO3, DLG4, ARHGAP20, RCAN1, WDR41, NDUFA12, STK32B, EDEM2, DSCAML1, RNF165, SH3RF1, DYRK1A, MIR29A, SYBU, AQP4, APBB1, DLX5, DBN1, PALM2AKAP2, CEACAM19, DPP4, IL6-AS1, ARVCF, CDC42SE2, DMXL1, TULP4, DAPK1, PMS2CL, POTEKP, MIR34A, VAT1L, OLR1, HDAC2, LRP8, GSN, CCL11, S100A9, COL25A1, POTEF, KLK6, BLMH, HSD17B7, P2RX7, COX8A, ABCB6, PRRT2, IL2, SORCS1, NR1I2, MAPK3, ITGAM, CASR, ATP7B, VDAC1, EGR1, PDE4A, RAB5A, SUMO1, NRG1, OXER1, NTRK1, TFCP2, ANK1, CSNK1D, DLST, APLP1, BLVRA, NFIB, IL1RN, HTT, ACAT1, PLA2G4A, NFIX, NLRP1, GPRC6A, HMGCR, PPID, LPAR3, FZD4, REG1A, MRGPRX1, LRP2, DBH, PSENEN, VPS35, ESCO1, HSD11B1, VN1R17P, SOX2, AGTR1, XBP1, MIR155, MRGPRX4, MRGPRX3, GAL, GPR151, IL13, PAEP, OGDH, GPR166P, STAT3, SET, NFIA, PLB1, AR, LGR6, DHRS11, ABCG2, C4A, KCNIP3, HSD17B13, ABCG1, TTBK1, NOTCH1, EIF2AK3, SLCO6A1, CHMP2B, RBM45, CD44, RIPK1, APBA1, GSTK1, ADNP, ICAM1, BRCA1, APCS, TNFRSF1A, NFKB1, CNTF, MMP3, KLC1, LBP, CTNNA3, SGSM3, FGF2, C4B, HIF1A, CREBBP, SERPINA1, TMEM106B, GRIA1, GRIA2, ECE1, C4B_2, GSAP, OGA, TFRC, PLA2G6, ST3GAL4, PAWR, MFAP1, KAT5, GSTM1, APRT, COX1, HP, NTF3, MIR206, FPR2, CDC42, FUS, MARK1, FGF1, PREP, C5AR1, PON2, MIR29C, CALB2, PDIK1L, SYK, S100A1, CH25H, SREBF2, COX5A, GRIN2A, VCAM1, TMED10, GSTP1, KLK8, PHF1, CXCL10, MEFV, SP1, GJA1, IGFBP3, SLC17A7, CYP3A4, FOXO3, HMGA1, SLC11A2, XPR1, MARK2, PPIF, CRHR1, SHANK3, MYC, CD40LG, CPOX, FKBP5, ANPEP, CAST, C1D, FKBP4, HSPA1A, FLT1, MIF, PLA2G2A, CX3CR1, CSF3, IFNB1, KALRN, PLTP, STXBP3, DDR1, PWAR1, PRDX2, TP63, VIM, IL23A, F2RL3, MMP14, MEF2C, TREM1, TMED10P1, NAT2, MIR342, SAMD9, RAB7A, PGR-AS1, TRPM2, EGFR, ADRB2, CLDN5, ETS2, SYT1, TIMP1, NME8, ELANE, F2R, CD59, EPHA4, CBS, MSMB, APLN, MMP2, MYCL, CALML5, SYN1, XRCC1, TGM2, EEF2, PLA2G7, ELAVL2, EDN1, TMEM97, HMGB1, MIR455, HTRA1, BPIFA2, SLC52A2, NQO1, TUBA1B, FOS, CRYAB, SLC2A1, GPR3, LGMN, SLC2A3, RIDA, FN1, ABCA4, HSPA1B, PECAM1, PTEN, HSPA8, HLA-A, PTPN1, HAMP, TXNIP, GRM2, P4HB, LIN28A, PSPH, GSTT1, CCN2, DECR1, CPLX1, BCYRN1, NES, POU5F1P4, MIR21, GRK5, POU5F1, NTSR1, MIR212, PRKN, LINC02210-CRHR1, HSPA5, DLD, DAB1, HTRA2, POU5F1P3, MIR137, DNAH8, MAPK10, GH1, SERPING1, ADAMTS2, EEF2K, GSTO2, ROCK2, NEDD9, SPTBN1, NTN1, CEBPD, GDF2, CEBPB, PWAR4, SYNM, IGFBP2, GLUL, ABCC9, ATM, PSPN, PTPRC, MIR29B1, RANBP9, NDRG2, CNR1, RTN4R, PTBP1, AQP1, PDK1, MIR106B, PDE4D, ARNTL, PRDX1, ADM, RENBP, POMC, PTPN4, MS, PDGFRB, P2RY2, MIR142, PDE9A, SSTR4, KLK3, BCL2A1, C2, SRPK2, NFATC2, ADCYAP1, LRRTM3, PLD1, NUBP1, MIR424, ATF4, BSG, MIR29B2, PPY, BMP4, TBP, SLC18A3, POLB, NOTCH3, SLC18A2, NPTX2, MTR, SI, MIR222, SH3GL2, ND2, NR4A2, SELENOP, CXCL12, CCL5, ATXN1, CALM3, ITGAX, IFNA13, DISC1, OPTN, HTR1F, HTR4, WNT3A, COL11A2, C20orf181, IFNA1, KEAP1, HDAC4, KLK4, SEMA6A, LRRC4, CRTC1, IL9, DAO, ALOX15, AGTR2, IDO1, SLC25A27, ABCG4, CD55, APOA4, MCOLN1, REM1, ATCAY, EBPL, HSPB2, HSPA9, PLK2, GAD1, NANOG, DCX, COASY, UBE2K, DDIT3, TREML2, APBB2, MAP1LC3B, SRRM2, GZMB, FXN, HNRNPA1, HPSE, RAB10, CIP2A, FOLH1, STIM2, DIO2, MMP24, CEBPZ, GBA, CDR2, ITPR3, CDKN2A, MELTF, SLC30A3, ADRA2B, FTO, FNDC5, GGA3, XPNPEP1, VGF, NR1H2, UGCG, MFGE8, MGAT3, CXCR4, TLR9, APOC3, GPT, ELK3, NEAT1, ADORA2A, MMEL1, TRPC6, EIF4E, CAMK2A, MS4A6E, SRR, HSPA14, IRS2, MGAM, C1orf52, HDAC3, PABPC4, ACKR3, LGALS3, FAM20C, WNK1, DRD4, CYP2C9, MBTPS1, DRD1, LRP6, GRK2, CYP2B6, OGT, LIPA, AD11, GORASP1, PTGDS, SPEN, MIR200B, NPTXR, DNMBP, MIR200A, NCOA6, MIR181C, RBP4, RELA, OPN1LW, EFHD2, MIR188, TPH1, HNRNPA1P10, CTNNBL1, SLC40A1, PNO1, CHCHD2, SDF4, RETN, GOLM1, PPP3R1, PYCARD, PAG1, CCR2, DDIT4, RCBTB1, SBNO1, PPARD, CD274, PCBP4, ACE2, PROS1, PRND, PPP1R15A, CIZ1, MIR26B, TPSG1, GGA1, CFAP97, MAP2K1, AATF, SHANK2, PRL, RBMS3, LOC107987479, MAP2K2, PAXIP1, CHCHD10, SBNO2, PTGES, SPHK1, LPAR2, PPIG, NRXN3, MED23, SPP1, MAPK8IP1, BAG3, APBA3, TAP2, PRDX6, CARTPT, SNAP91, SV2A, MALAT1, MAK16, SYVN1, GDF11, TAC1, TAT, SLC6A2, TRPV1, CISD3, TPT1, TSC2, TM7SF2, TXN, UBE2I, TLE1, TIMP2, XK, CNTN2, TGFBR2, YY1, GOLGA6A, ANP32A, TAM, TERT, DCP1B, TNFSF10, PPP1R1B, GPHN, RGS2, ADAM30, SAA1, METAP2, IMMT, SDS, ADAP1, RYR3, ECHDC3, RYR2, RXRA, SCD, RPS6KB1, CIT, RPS6, CTXN3, LMTK2, NLGN1, ROCK1, RGS4, ATXN2, SRL, STUB1, SHBG, LILRB2, AKR1A1, OLFM1, SKIL, SLC9A6, CREB3, PITRM1, SCGN, CXCR6, OCM, RIN3, SGCA, SFPQ, NCKAP1, CPLX2, TP73, EDAR, CCL3, NPS, BEST1, HPS1, CXCL1, GLO1, LIF, CDH1, LHCGR, CDK4, PCNA, PCK1, L1CAM, GPR42, GPX1, GRB2, ANGPT1, ANGPT2, CETN1, MYD88, GLB1, AKT2, LMNA, DNMT3B, TSC22D3, CD38, PER1, CD69, DRD3, LOX, CD74, LMNB1, DNM2, GAS6, AVP, GC, DMRT1, SARDH, GRIN1, ANXA5, BACH1, P2RY1, INPPL1, CSF1, CS, NEFM, NTS, APEX1, STS, HTC2, NEUROD1, NPTX1, NPPA, ATF2, HTR2C, ARRB2, IGFBP7, HMGCS2, CLK1, CKB, APBA2, CYP17A1, GSTM3, CHGA, CYBB, JUN, CTSS, ORM1, ITPR1, CHRM1, CHRM2, OPRK1, OPRD1, CTRL, HK1, ADRB1, LAMP2, CASP2, EDNRA, PLD2, CAPN2, F2RL1, ACO1, ERBB4, FAT1, FGFR3, CALM2, BRS3, CALCA, CAD, EGF, CASP4, FCGR3B, FDPS, LYZ, FCGR3A, FLNA, MECP2, FABP3, ADRA1A, PLXNA2, MBP, FAAH, ENPEP, F12, BAG1, MEOX2, HOMER1, ITGB2, DBA2, ITGAL, ITGB1, AIM2, AZIN2, CD80, ITIH4, CD46, VIP, CHRNA3, ATG5, TREML1, MCL1, GPRASP2, VWF, APOA5, TMEM119, KLF4, SOCS6, WNT1, XBP1P1, FOXQ1, C3AR1, OPN4, USF1, C1QA, CXCR2, VPS26A, MOGAT3, CCR3, IL6ST, IL5, IL1RAP, LMF2, IL1R1, CREB3L1, UNG, MCU, CLSTN3, SNPH, IL9R, NPEPPS, NAPSA, USF2, MEF2A, ING1, CGB8, FTMT, CHM, VAV1, IMPA1, C1R, ILK, ADAMTS3, IL16, MAP3K5, IL15, GDF15, CGB5, CA2, KCNB1, TSPOAP1, SMAD2, DPPA2, SGO1, LIG3, IFNL3, TNK1, CP20, APCDD1, HSD17B6, CDKN1A, TTBK2, CDKN1B, SLC2A14, CFLAR, STMN1, LIPC, TAB3, CHIT1, BRAP, SPARCL1, MLKL, PTCRA, CD47, LGR5, CD8A, CCT, NR4A3, USP9X, MSRB3, CDR3, CCK, LNPEP, CASP7, CHRFAM7A, CAMP, PER3, YES1, CGA, MARK3, CGB3, SYNGR1, CALCR, IL1RL1, ARHGEF2, PER2, SLC33A1, TPH2, CHEK1, RAB7B, NOG, MBL2, CFL2, HSPB6, AHSA2P, SLC30A1, CD200R1, SOCS3, KDR, KIF5A, HAP1, CALR, CES1, TRPA1, HSPB3, WASF1, SLC32A1, ARHGEF7, CAMK4, COL3A1, H3P40, SCRN1, PTCD1, SPHK2, ATN1, PPIL2, POU2F1, FOSB, GCA, FLT4, SH2B1, APPL1, DNMT1, FLG, FOXO1, DUSP1, DUSP6, HHAT, HSPB8, E2F1, PLXNA3, DOCK2, PNPLA2, ADI1, GMFB, GPI, GPC1, KIF21B, NMNAT2, TRIB3, ALS2, DLG2, DLG3, GLS, PDSS2, ASTN2, MCF2L, GLI2, KIDINS220, CBLIF, SYNE1, DMD, GGT1, FKBP1A, SIT1, SV2C, GDE1, FOXP3, ASCC1, TMED7, FIS1, PRLH, CRYL1, ADIPOR1, LSR, F11, MBL3P, SIRT6, TRMO, NRN1, LCMT1, PRRX2, ERN1, BIN2, UBR5, HEBP1, GEMIN4, PDCD4, TBK1, SLC25A38, FGF14, PCSK1N, TRPM7, DLL1, FLVCR1, AHI1, SETD2, ELK1, IL22, NCAPH2, ELN, PADI1, BPTF, NRBF2, FABP5, EP300, PLA2G3, GRHL3, CXCR3, NAV3, SIRPB1, FLOT1, MET, KCNMB2, CRISPLD2, ARHGAP24, HNMT, SNX27, NPL, BHLHB9, TRIM13, HMOX2, KLF2, CSNK1E, LPAL2, CPQ, PPP1R2C, RAPGEF3, TET1, CRYZ, SORBS3, CTBP1, BCL2L11, COL17A1, NCAPD2, COX10, UBASH3B, NR1I3, ACOT8, PTPN5, PPP1R9B, TOM1, MINDY4, CPE, HTR7, NR1H3, HTR1B, HTR1A, LRPPRC, PDIA6, RHBDD1, NAA25, HLA-C, TPX2, BCAN, ADAMTS13, MOAP1, TNMD, GRIA3, NEUROD6, CHEK2, PADI2, HRH3, PHB2, SIL1, MGLL, FFAR1, GADD45A, MMRN1, DEFA1, IL21, NLRC4, GPR17, AZI2, HHIP, CTF1, HCRTR2, HLA-B, CTNND2, HHEX, HGF, CTSG, HDAC1, CTCF, DHX40, PTGES3, STIP1, CTSZ, CXADR, CARD14, CYP1A2, PDE10A, LILRB1, EHMT2, PDIA2, UMOD, ANGPT4, MIR339, SYN2, MSD, ACP3, APEH, ST8SIA1, AZU1, PI4KA, NCAM1, MIR144, SMIM10L2B, MSI1, NAP1L1, PRSS3, PEBP1, MASP1, SIM2, TIA1, MIR15B, ATD, RPL29, ABCC1, NCAM2, MIR125A, TLR5, SERPINF2, TNFAIP1, CXADRP1, MAPK9, ZFHX3, GGTLC4P, AD10, SGCG, MIR451A, CDR1-AS, TPTEP2-CSNK1E, MIR384, ITSN1, CBSL, MPZ, NFATC4, PKM, NCL, NTF4, LOC643387, SLC1A3, APOA2, THAS, PSMB6, SERPINB6, PSMB9, RHOA, ARMCX5-GPRASP2, SMPD1, REG3A, ATP4A, MIR193B, RFC1, NOTCH4, SLPI, PGF, AEBP1, MIR214, MIR219A1, SLC19A1, MIR22, PCSK1, ALPP, AMD1, MTNR1A, TGFBR1, COX3, ATP12A, NM, ADD3, PSD, TGM1, ARR3, NPM1, PAK1, TMED7-TICAM2, PNP, MIR195, MTHFD1, ADH1B, AMPH, ND4, AMD1P2, ARG1, SULT2A1, RRAS, PDE7A, TTPA, TYK2, TXNRD1, PPP1R1A, PPP1R10, SPG7, SPAST, RAB4A, PPP2CA, OTC, PPP2R2B, MMP1, ARMS2, RAB3A, GGTLC3, RTL1, P2RX4, ST13, SPARC, ALAS1, PPP3CA, NEFH, SEL1L, TYR, RAB6A, MICB, PPIA, CCL4, BST1, TICAM2, BNIP3, MIR326, OPRL1, PON3, BMP6, OPRM1, AHSG, H3P17, SDC2, AGRN, TYRP1, PPP1CA, BMI1, TYRO3, PNMT, DEFA1B, GGT2, ORI6, SMIM10L2A, CISD2, ARSA, EIF2AK4, PRKAR1A, LRP1-AS, SRSF2, MIR98, MIRLET7B, CD200, PDCD1, RAP1A, GGTLC5P, CCND1, ANXA6, FXYD1, S100A6, NFATC3, PLK1, ABO, PTGER3, APC, S100A12, ASL, HSP90B2P, SETMAR, PRRX1, PZP, STAT1, ODC1, CFB, CDNF, ZBTB4, PARK16, SUGP1, DIO1, SORCS2, MAGEE1, ALDH1A1, MIR1306, DES, DIAPH1, LSM2, MIR1229, XPO5, HCN3, CFD, MIR664A, KIF17, WDR48, MTRNR2L12, PRX, DHFR, EPG5, SEPTIN1, FAS-AS1, RNF213, MIR320E, MIR1908, HECW2, LINC00672, NUFIP2, ABCD1, DLG1, QRFP, ZNF410, AOC2, NBEAL1, CYP11A1, OPN1MW2, AD6, P2RY12, NMNAT1, DEPTOR, TNS3, CYP2D7, FAM72A, NUCKS1, CLEC7A, CYP26A1, ARAP3, GREM2, CDKN2B-AS1, CYP2J2, UBE2Z, MIR1246, TSPY3, MIR632, CTSK, GTDC1, CTSL, MIR650, MIR660, SNORD118, TNFAIP8L2, LYNX1, MUL1, PAGR1, CYLD, MAPKAP1, APOF, PDCL3, CYP2C19, NOC3L, CYP27A1, DPEP2, MFT2, PROK2, HPSE2, AD14, AKR1C2, ALPI, TRPV4, NTN4, PRM3, PDF, JAM2, ALOX5AP, TSPY10, DEFB4A, DEFB4B, ALOX12, PTBP2, DCN, NECAB3, FKBPL, NEUROG2, DGKQ, SLC25A4, MIR873, MIR301B, CENPK, DAXX, GFRA4, GOLPH3, ERVK-6, MTUS1, DBI, MIR937, ANG, ACE3P, SOD2-OT1, ANK3, DRD2, ZNF608, NAT10, DYM, LOC102724334, TRIT1, EIF4G2, TET2, EIF5, SERPINB1, ELAVL4, PDP1, ACO2, THRA1/BTR, UGT1A1, CCHCR1, CPVL, SMOX, TOLLIP, TERF2IP, SNTG1, EMP1, LOC102723407, EIF4EBP1, MIR6845, EIF2S3, ADCY2, NUDT11, EGR2, MSTO1, ADARB1, SLC6A15, ADA, TAPBPL, TESC, MIR6840, ACVRL1, FOCAD, EIF4A1, CASZ1, QRICH1, PGPEP1, EIF4A2, NDE1, ASIC2, CTTN, ACADVL, GSKIP, LNCRNA-ATB, ATP6V1H, H3P7, TDP2, ERBB2, CINP, ZCCHC17, H3P13, DTL, GPRC5B, ERCC1, DCDC2, NAT8B, GULP1, H3P23, ERG, H3P28, H3P11, PPIL1, STIN2-VNTR, NANS, EPHA8, H2BS1, POLE3, ACACA, SLC29A1, FXYD6, LRP1B, CST12P, SIRT1-AS, INPP5K, MSRB1, ARID4B, EPOR, ABL1, AAVS1, NR2F6, ERVK-32, LOC110366354, MNS16A, EFNA5, SLC47A1, ALAD, EEF1A1, SNHG19, MICA, DNTT, SOX21-AS1, DOCK3, DPYSL3, MIR626, XAB2, MFF, DUSP22, ARNTL2, SPPL2B, MCCC1, TMX2-CTNND1, ANKS1B, DPYSL5, FXYD6-FXYD2, BARHL1, DSC1, TWSG1, TLE5, DNASE1, DNA2, OCLN, NLN, AMIGO1, AHR, PLEKHG5, SLC24A3, SPC25, TTC7A, PELI1, JAG1, TMEM159, RTN4, APMAP, CD177, CAMK1D, PLAAT1, NR0B1, TIGAR, P2RX5-TAX1BP3, PARD3, GKN1, ADH6, INAVA, CDK5RAP2, OGDHL, LINC01080, ATF7IP, IPO9, VAC14, DVL1, PPP4R3A, OPN1MW3, EBM, OTUB1, SOX6, SLC30A10, SMPD3, MEG3, PLIN2, FBXW7, TDP1, ADORA1, DSC3, ACSS2, BTNL2, KIAA1217, ZNF253, CFC1, MIR4668, DSG1, APOM, MYO5C, MIR4487, NOTCH2NLC, USE1, SELENOS, GDNF-AS1, DSPP, ADCY10, ADRA2A, ZNF415, LINC-ROR, NARS2, CSF2RB, MIR616, MIR20A, CDC25C, PROM2, ATP6V1E1, IL23R, GLIS1, PM20D1, PHF13, CDH2, ZNF569, MIR191, CDK9, MIR192, PRIMA1, CDKN2D, MIR196A1, OR2AG1, LAYN, PIWIL4, MIR19B1, GPBAR1, CDC25B, GDF7, ZDHHC15, MIR139, CD63, SGMS2, MIR140, TMPRSS6, RHBDL3, AVPR2, MIR15A, CBLL2, MIR186, PRUNE2, AMOTL1, CD81, MIR18A, SLC2A12, CDA, MIR181A2, ATP5PO, SESN3, ATP6V1B2, UBR1, ATP5PF, PPME1, MIR224, LYZL4, KCNH8, MTERF4, MIR23A, CPO, ACMSD, MIR23B, BHLHE23, MIR25, CFL1, OSCAR, SPNS2, SEZ6, SLC38A10, MSI2, CFTR, MIR27A, MIR223, ALDH7A1, MIR221, SELENOM, ATP5MC2, CACUL1, HECTD2, SREK1, CTCFL, CBLN4, CDSN, ATP5MC1, DEFB104A, OCIAD2, MAGEC3, MIR210, CEACAM5, CECR, PPARGC1B, ATP5F1B, IL31RA, GNPDA2, SCARB2, NSMCE1, SOCS4, UBE2L1, BNC1, CACNA1C, SLC25A20, SERPINA13P, BLM, SREK1IP1, MIF-AS1, C20orf203, SYPL2, ZNF763, CCL4L1, BID, BGN, ZSCAN1, ZADH2, SMIM20, MILR1, PGP, GOLGA6L2, TMEM189-UBE2V1, TMEM189, IL31, C4BPA, BTK, AMIGO2, HCN1, NHLRC2, ATP9B, SBSN, BMP1, OSTN, C5, CFAP410, BARHL2, NANOS3, C9, STING1, GADL1, ARMH1, VPS51, HCAR2, CAPG, LINC00639, TMEM201, LIN28B, CD5L, MIR127, CD19, KIF6, MS4A1, MS4A3, HYLS1, STOX1, FOLH1B, OR8J1, TRIML2, CD28, KHDRBS2, GAPT, CENPV, KLHDC8B, MIR134, CD86, PIKFYVE, SLC29A4, CCNC, KRIT1, PTF1A, DAOA-AS1, BDKRB2, HCA1, BRD3OS, ASPM, BCS1L, SGMS1, BCR, MIRLET7D, MIR122, RUNX1, ANKK1, BCL6, PHYHD1, BAK1, MIR10A, EBF3, CCKAR, MIR28, FRMD6, MIR613, ADAMTS10, TMEM175, XIAP, MAF1, BIRC3, SLA2, ANTXR1, ASCC2, CRHBP, EVA1A, QRFPR, MAGT1, NCALD, LOC646506, ROPN1L, L3MBTL2, GMNC, SCFV, CSE1L, RNF146, PHF6, HOOK3, BRSK1, MBOAT4, COX15, MIR497, MFSD2A, MIR501, ACCS, ARG2, FAM126A, CPB1, CPN1, ECSCR, MAP1LC3A, MIR484, AQP9, CPS1, SNORD35B, CPT1A, ABLIM2, FASLG, NETO1, DOCK8, RNFT2, C1QBP, TM2D3, ASRGL1, PTGES2, PANK2, MIR590, SCD5, CSNK2A1, VCAN, ZC3H14, CSPG4, CTBS, MIR592, MIR598, CAMKMT, CTNS, SLTM, PTCD2, CTNND1, MIR603, NUBPL, WDR26, SPHKAP, GSTT2B, TMEM163, NCF1, LBH, SPAG11A, SFTPA1, CSF3R, ZNF436, CSN2, NDFIP1, MIR545, SLC44A4, SLC19A3, FAM72B, AIRE, IQCJ, CSNK1G2, DNAJC5, CSNK1G3, LINGO1, ATG4C, ATP2B4, MIR346, SERPINC1, CISH, ASPA, CLC, UCN3, TMEM54, ASS1P1, CLCN3, NACC1, ASIP, STX1B, IFT43, MIR133B, MIR151A, CLK2, TP53INP1, MIR330, MIR335, MIR338, MIR93, SLC26A7, OMA1, CHGB, PLD4, TDRD9, CHD1, MIR299, ATIC, ATHS, H4-16, LRIG3, EXOSC6, CHRM3, MIR30B, MIR30E, AGAP2, MIR31, MIR34C, MIR9-1, GRIN3B, GRIN3A, ASAH1, MIR369, H2BC12, KPRP, LRSAM1, MIR429, H4C15, SHF, GADD45GIP1, COL11A1, ZNF628, MIR431, HNP1, NAV2, MIR409, SLC31A1, RPPH1, SNORD14E, SNORD14D, SNORD14C, SNORD14B, COX6B1, MIR485, CNTN1, DNM1P33, CNTFR, CHRDL1, CLN3, MIR361, MYOCD, PRDM6, DNER, SPECC1, MIR377, CLN5, EXOC3L4, CNP, MIR425, ARRB1, ZNF804A, BDNF-AS, NLRP12, CCR6, ABCC2, DEFB104B, LRRC15, POU3F4, HOOK1, TERC, NAT1, MCM2, EZR, MDH1, VEGFC, MDH2, MDM4, MEF2D, UVRAG, UROD, UQCRC1, UGT1A, SLC35A2, UCP2, UBTF, UBP1, MID1, UBE3A, UBE2V1, CXCL9, ATXN3, UBE2D2, UBE2A, UBC, MAP3K10, MC1R, WARS1, WAS, ZMYM2, MANF, SCG2, FZD5, SMAD7, MAG, MAP3K12, MAP1A, MAP1B, ZNF236, ZNF224, ZNF217, RNF112, WEE1, MZF1, ZIC1, MARS1, MAS1, MAT1A, MAT2A, MAZ, XIST, WT1, WNT2B, WNT5A, UBA52, KMT2A, MLLT3, THBS1, TLR3, TLE3, MSH3, TKT, TIMP4, TIMP3, MSR1, MSRA, THRA, THOP1, THBS4, CYTB, MRE11, NUDT1, TGFBI, TGFB3, ND1, TFF3, TFDP1, MTNR1B, MTRR, TRNL1, MUC1, TERF2, TSPAN7, MRC1, TWIST1, TRAF2, TUBA4A, NR3C2, TTN, TSPY1, TSHR, TSG101, TSC1, MMP7, MMP8, TRPC1, TRH, NR2C2, TNFAIP6, MMP13, TPM1, MOG, MOV10, TP53BP2, TP53BP1, MPG, TNR, TNNI3, MPI, MPST, SLBP, REEP5, DEK, SNX3, TNFRSF6B, RAB11A, LDHA, LEPR, LGALS4, LGALS9, GPAA1, RNMT, GBF1, ADAM19, URI1, TRADD, LCK, B3GALT4, LIFR, LIG1, SOCS1, NUMB, LIMS1, AOC3, PDE8B, USO1, TNFSF11, STK16, LCT, CES2, KMO, KLRC1, BRSK2, KCNQ1, KIR2DL2, NOL3, ATP6V0E1, SELENBP1, USP13, KLKB1, CDK5R2, RAB29, MBD2, KIF11, TMEM11, ENDOU, EIF2S2, TAX1BP1, NAE1, KRT14, KRT18, LAMC1, LBR, PROM1, LCAT, SOCS2, PRKRA, DEGS1, DDX39B, PABPN1, EOMES, BAP1, LTF, H4C9, COLQ, DYSF, CHAF1B, LYN, NRIP1, COIL, SLC7A5, AD5, H4C1, FGF23, ADAM12, BRD3, PSCA, ARHGEF5, TFPI2, FZD3, GHS, M6PR, MARCKS, SMAD1, LTC4S, H4C4, BHLHE40, IRS4, MAPKAPK5, LMO4, LOXL1, CST7, DDO, DGKZ, GAS7, PIK3R3, PKP4, PPFIA1, LRPAP1, SORBS2, H4C6, CUL4A, GNPAT, LTB, H4C14, H4C13, H4C5, H4C2, H4C8, H4C3, H4C11, H4C12, TERF1, MUC4, KCNMA1, TDO2, PCP4, CDK18, RBM3, RBL2, RBBP6, RB1, RASGRF1, RASA1, RARRES2, RAN, RAF1, RAD52, PCYT1A, RAD23B, RAC2, PDB1, RAB27B, RAB27A, PDC, PDE2A, PURA, PDGFB, ENPP2, PDYN, PTPN13, PC, PAX6, PARN, RPL15, P2RX1, S100A8, P2RX3, P2RX5, P2RY4, RREB1, RPS23, RPS21, RPS6KB2, P2RY6, RPS3A, RPL13, RET, RPA1, PAFAH1B2, RORA, ROM1, SNORD15A, BRD2, RNASE1, RHO, RHD, PAK3, TRIM27, PTPN11, PENK, PTN, PMM2, PLAUR, PLCL1, PLEK, PRKCE, PRKCD, PLP1, PRKAR1B, PRKACB, PRKACA, PLXNB1, PML, PRG2, PLAT, PMP22, PRB1, PPT1, PPP2R5E, POLG, PPP2R1A, PPP1CB, PPL, PPIC, PPIB, POR, MAP2K3, PLAG1, PFDN5, PSMD2, PFKFB3, PTGER2, PTGER1, PGD, PTGDR, PTCH1, PGR, PHB, PSMD9, PSMD7, PSMD3, PSMB2, PITX2, SERPINE2, SERPINI1, KLK10, PIK3C3, PIK3R1, KLK7, PIK3R2, PRS, PROS2P, PIN4, PROC, S100A10, OXT, OXA1L, SQLE, STAR, ST14, ST2, NDUFA6, SSTR3, SSTR2, NDUFA9, NDUFB8, SRM, SRF, NEDD4, SEPTIN2, STC1, SP4, NEU1, SOX5, SOX3, SOS2, SOS1, SOD3, NFE2L1, NFKB2, SNRPG, SNRNP70, NDUFA5, STIM1, NME1, MYH9, TRBV20OR9-2, TCP1, TCN2, MMUT, MUTYH, TCF4, ELOC, TBX2, MX1, MYH6, TARBP2, MAP3K7, STK11, MYO6, TACR2, NACA, VAMP2, VAMP1, SURF1, ABCC8, SUOX, NDP, STXBP1, STX1A, NINJ2, NME2, SAA2, OMP, SFTPC, TRA2B, SRSF6, SRSF5, SRSF3, SRSF1, SFRP1, OCA2, MAP2K4, ODF1, SELE, OPA1, OAS3, CXCL11, CCL21, CCL20, CCL19, CCL8, CCL1, SCP2, SCN1A, ORM2, OSM, TSPAN31, OAT, SGSH, SUMO2, SLC8A3, SMPD2, SLN, SLIT3, SLC22A5, SLC22A2, NQO2, SLC18A1, SLC16A1, SLC12A3, SLC11A1, SLC10A2, SLC8A1, NUP98, SLC6A12, NPHP1, SLC6A1, SLC5A2, NRCAM, NRDC, SLC1A1, NRF1, PMEL, YBX1, NT5E, NAT8, SEMA5A, ESRRA, RAB31, MACF1, HEY2, BRD4, TRAM1, CBX5, ANGPTL2, OPN1MW, GRIP1, KCNH4, MSTN, GFER, GFRA1, SIRT5, COTL1, GFRA3, GHR, ZNF629, UBR4, GHSR, WASHC4, GLI1, NUP160, CLUH, GLI3, SCFD1, KCTD2, CLCF1, SEC14L2, NR5A1, SLC24A2, PRPF6, TFIP11, MAFF, EID1, RAB38, FSHR, TMEFF2, PLA2G15, SLC7A11, FTH1, SNHG1, TSPAN15, GAST, ACKR1, G6PD, GAB1, NTSR2, GABBR1, GAD2, GALNS, DDAH1, PADI4, GART, NBEAL2, GMPR, PLEKHM2, WDHD1, GPR39, CARD8, ARHGEF15, AAK1, SYNPO, GPX4, ECD, PARK7, KLF8, TREX1, WIF1, WDR45, ATF6, CORO1A, TBC1D8, SLC7A9, GRIA4, FAF1, GRIK4, RER1, GRM1, STMN2, RAPGEF4, ADRM1, MSRB2, RAB3GAP1, GNA12, ZNF423, ATG4B, UBXN4, RCOR1, SEPTIN8, STAB1, GNAI1, MAPK8IP3, GRAMD4, GNB3, NFASC, KIF1B, GOLGA2, GPER1, SETX, GOLGA4, PDZD2, SAMD4A, KDM1A, GPM6A, RAB21, GPR6, P2RX2, GPR20, SNW1, FRK, FBXO7, BRI3, SNX12, SOCS7, CD209, FABP6, TBX21, NOP53, FABP7, SLC2A8, UBQLN2, A1CF, PSAT1, FANCG, HOOK2, DELEC1, FASN, SNX8, NPC1L1, BLNK, MS4A2, FCGR1A, FCGR2A, MYLIP, SCG3, DROSHA, TMEM230, NOX4, PCA3, SPCS1, VRK3, ETFA, SLC25A37, TLR8, SLC22A17, ECSIT, CD320, EZH2, DNAJC27, CLEC1B, NT5C3A, MZB1, F2RL2, HP1BP3, F3, F9, IRAK4, SAR1B, UTP11, F13B, SH3GLB1, SIDT2, SHANK1, TRAT1, F11R, RGCC, TMEM176B, NOCT, FBXO2, NPTN, TPK1, VCX, GREM1, FKBP1AP2, FKBP1AP3, AGO1, SEZ6L2, FKBP1AP4, FGF21, CLDN17, NOC2L, SND1, FOXM1, EPC2, ATRNL1, LRP10, FLNB, FMR1, POU2F3, TXN2, FBXL2, FOLR1, FOLR2, FKBP1AP1, B3GAT1, IGHV1-68, TNFRSF21, FEB1, FES, FGF9, RABGEF1, PRPF19, FGF13, FGFR1, FGFR4, PDLIM3, RND1, KLHL20, COQ2, CACYBP, HCAR1, FHL2, VPS4A, IL37, GLS2, NAAA, CYTH4, DKK2, DKK3, BBC3, SDCBP2, GRM3, IL24, SPAG9, CXCL2, PCLAF, IGFBP1, ACAP1, IGFBP5, SART3, KDM4A, IGHG3, SDC3, SH3PXD2A, RGS6, SNCAIP, TCL1B, IL4R, IL7, BCAR1, CCL4L2, CXCR1, BAG2, IL12B, BAG5, TMEM59, TBPL1, GAL3ST1, AKAP5, STX8, PIEZO1, BMS1, PTDSS1, IDH1, SH2D3C, GNE, SH2B3, IRF8, SRA1, TANK, KCNE3, HNRNPDL, CCS, NUP153, MED12, HS3ST1, TOMM20, RBM8A, IDH2, CFI, SV2B, TECPR2, IFI27, TOMM70, KIAA0319, IFIT3, IFNAR1, IGBP1, INSRR, PCYT1B, IL27RA, CCNE2, NOLC1, TIAF1, JUND, ZMYM3, KCNC4, KCNJ13, HGS, SYNGR3, ATG12, CBFA2T2, RABEP1, P2RX6, RAB11B, SLC16A3, SLC16A4, ATP6V0D1, RGN, USP10, USP2, USP14, DNAJA3, CLDN1, CLDN8, ARTN, JUNB, GPR50, PICK1, ITPKB, IRAK1, HOMER2, IREB2, IRF3, IRF6, IRF7, ITGAV, CYP7B1, ITGB3, NRXN1, SLC22A8, ITPR2, AIMP1, JAG2, ITGBL1, LHX2, SLIT2, TAOK2, CD163, JAK2, GPR37L1, PIWIL1, MAPKAPK2, PDLIM7, IARS1, TNC, IL18BP, CCT2, HCK, NRG3, USP39, DCTN6, CD226, HDC, HDLBP, CAMKK2, HIP1, TXNRD2, NPC2, SLC35A1, HBG2, PRDX4, ZNRD2, HYOU1, HLA-DQA1, SEMA4D, HLA-DQB1, NXF1, HLA-DRA, ATP5PD, COG5, GPNMB, CHL1, HAS3, FAM3C, GYPA, GSK3A, COPS5, GSM1, GSTM2, EBNA1BP2, PRSS21, PRDX3, GSTZ1, GTS, GUSB, C1QL1, GYPB, HAS1, GYPC, CCL27, ALDH1L1, GYPE, HAGH, WASF3, HSPH1, GJB6, HARS1, ARPP19, DHS, HLA-DRB4, HLA-G, PQBP1, MPHOSPH6, STAM2, GLYAT, HOXA@, RABEPK, HPCA, CALCOCO2, HRC, OLIG2, DDX39A, TOPORS, EIF1, HSD17B1, RAMP2, WASF2, HSD17B4, HSPA2, HSP90AB1, DNAJB1, NAMPT, BCAP31, CTDSP2, TSPAN3, ACTR2, CERT1, ABCC4, HNRNPK, HMBS, NPM3, CFDP1, PRMT5, HMGB2, YAP1, IFITM3, SPAG11B, PEMT, RACK1, SYCP2, TUBB4B, SEMA3A, WARS2, HNRNPC, FOXA1, CCL26, TLR6, FOXA2, LAMC3, LANCL1, HNF4A, TCIRG1, APBB3, APC2, HNRNPA2B1, MTCH2

Alzheimer's Disease Mayo Clinic

Beta-amyloid fragments can become plaques in the brain. Symptoms tend to appear 10 to 20 years earlier in people with Down syndrome than they do for the general population.
Alzheimer's Disease Wikipedia

The hypothesis holds that an amyloid-related mechanism that prunes neuronal connections in the brain in the fast-growth phase of early life may be triggered by ageing-related processes in later life to cause the neuronal withering of Alzheimer's disease. [64] N-APP, a fragment of APP from the peptide's N-terminus , is adjacent to beta-amyloid and is cleaved from APP by one of the same enzymes. N-APP triggers the self-destruct pathway by binding to a neuronal receptor called death receptor 6 (DR6, also known as TNFRSF21 ). [64] DR6 is highly expressed in the human brain regions most affected by Alzheimer's, so it is possible that the N-APP/DR6 pathway might be hijacked in the ageing brain to cause damage. ... Osaka mutation A Japanese pedigree of familial Alzheimer's disease was found to be associated with a deletion mutation of codon 693 of APP. [65] This mutation and its association with Alzheimer's disease was first reported in 2008. [66] This mutation is known as the Osaka mutation. ... A β is a fragment from the larger amyloid precursor protein (APP). APP is a transmembrane protein that penetrates through the neuron's membrane. APP is critical to neuron growth, survival, and post-injury repair. [103] [104] In Alzheimer's disease, gamma secretase and beta secretase act together in a proteolytic process which causes APP to be divided into smaller fragments. [105] One of these fragments gives rise to fibrils of amyloid beta, which then form clumps that deposit outside neurons in dense formations known as senile plaques . [98] [106] AD is also considered a tauopathy due to abnormal aggregation of the tau protein .

Problematic Smartphone Use Wikipedia

For 3-4 year-old children: 180 minutes physical activity, 1 hour screen time, 10–13 hours of sleep time per day. [81] Phone settings [ edit ] Many smartphone addiction activists (such as Tristan Harris) recommend turning one's phone screen to grayscale mode, which helps reduce time spent on mobile phones by making them boring to look at. [82] Other phone settings alterations for mobile phone non-use included turning on airplane mode, turning off cellular data and/or Wi-Fi, turning off the phone, removing specific apps, and factory resetting. [83] Phone apps [ edit ] German psychotherapist and online addiction expert Bert te Wildt recommends using apps such as Offtime and Menthal to help prevent mobile phone overuse. [84] In fact, there are many apps available on Android and iOS stores which help track mobile usage. ... In Android a similar feature called "digital wellbeing" has been implemented to keep track of cell phone usage. [85] These apps usually work by doing one of two things: increasing awareness by sending user usage summaries, or notifying the user when he/she has exceeded some user-defined time-limit for each app or app category. ... PMID 27151528 . ^ "Internet Gaming" . www.psychiatry.org . Retrieved 10 May 2019 . ^ "Gaming disorder" . Gaming disorder . World Health Organization . 1 September 2018 . Retrieved 10 May 2019 . ^ "ICD-11 - Mortality and Morbidity Statistics" . icd.who.int . ... "Problematic Use of Mobile Phones in Australia…Is It Getting Worse?" . Front. Psychiatry . 10 : 105. doi : 10.3389/fpsyt.2019.00105 .

Chronic Hallucinatory Psychosis Wikipedia

Chronic Hallucinatory Psychosis Specialty Psychiatry Chronic hallucinatory psychosis is a psychosis subtype, classified under "Other nonorganic psychosis" by the ICD-10 Chapter V: Mental and behavioural disorders . ... Others, again, might be swept into the widespread net of dementia praecox . This state of affairs cannot be regarded as satisfactory, for they are not truly cases of melancholia, paranoia, dementia praecox or any other described affection. ... Also, it needs to be noted that the delusion is a comparatively late arrival and is the logical result of the hallucinations. [1] References [ edit ] ^ A paper read at the Quarterly Meeting of the Medico-Psychological Association on February 24th, 1920, written by Robert Hunter Steen, King's College Hospital, London External links [ edit ] Classification D ICD - 10 : F28

Epilepsy, Progressive Myoclonic, 10 OMIM

A number sign (#) is used with this entry because of evidence that progressive myoclonic epilepsy-10 (EPM10) is caused by homozygous mutation in the PRDM8 gene (616639) on chromosome 4q21. ... Description Progressive myoclonic epilepsy-10 is an autosomal recessive neurodegenerative disorder characterized by onset of progressive myoclonus, ataxia, spasticity, dysarthria, and cognitive decline in the first decade of life. ... Studies in patient tissues showed no net change in glycogen synthase (see, e.g., GYS1, 138570) activity, indicating that polyglucosan formation was not related to glycogen synthase.

PRDM8

Occupational Hearing Loss Wikipedia

OHL, as well as hearing loss in general, can cause negative secondary social and emotional effects that can impact quality of life. [10] [11] Within the United States of America , approximately 10 million people have NIHL. ... Within the United States of America alone, 10 of the 28 million people that have experienced hearing loss related to noise exposure. ... "Evaluation of smartphone sound measurement applications (apps) using external microphones-A follow-up study" . ... "Smartphone-based sound level measurement apps: Evaluation of compliance with international sound level meter standards". ... "OSHA Technical Manual - Noise" . Retrieved Jul 10, 2018 . ^ "Buy Quiet" . Centers for Disease Control and Prevention .

Malaria Wikipedia

The mosquitoes remain on the wall until they fall down dead on the floor. Insecticide treated nets [ edit ] A mosquito net in use. Mosquito nets help keep mosquitoes away from people and reduce infection rates and transmission of malaria. Nets are not a perfect barrier and are often treated with an insecticide designed to kill the mosquito before it has time to find a way past the net. Insecticide-treated nets are estimated to be twice as effective as untreated nets and offer greater than 70% protection compared with no net. [73] Between 2000 and 2008, the use of ITNs saved the lives of an estimated 250,000 infants in Sub-Saharan Africa. [74] About 13% of households in Sub-Saharan countries owned ITNs in 2007 [75] and 31% of African households were estimated to own at least one ITN in 2008. ... That number increased to 20.3 million (18.5%) African children using ITNs in 2007, leaving 89.6 million children unprotected [76] and to 68% African children using mosquito nets in 2015. [77] Most nets are impregnated with pyrethroids , a class of insecticides with low toxicity . ... The other species usually cause only febrile disease. [132] Severe and complicated malaria cases are medical emergencies since mortality rates are high (10% to 50%). [133] Recommended treatment for severe malaria is the intravenous use of antimalarial drugs.

ICAM1, FCGR2B, HBB, CD36, NOS2, FCGR2A, TNF, CR1, G6PD, CRP, HP, ACKR1, GYPA, SLC4A1, GYPB, NCR3, TIRAP, GYPC, LTBR, CISH, IFNG, HMOX1, PKLR, ABO, ANK1, AQP4, ATP2B4, HBG2, CYTB, ENOSF1, MSMB, MST1, ZNF536, LINC00944, SMARCB1, DHODH, PDR, TREML4, ZNF804A, OR51F1, OR51B5, CDH13, PROCR, SPATA3, OR51N1P, DHFR, DDT, RECQL4, FAM155A, IGHG3, IL4, MMP26, IL6, IL10, TLR9, HLA-DRB1, CSMD1, HBE1, DNAJC5, TMPRSS13, KLHL3, HDGFL2, TLR4, ATAD1, LMLN, TENM3-AS1, MECP2, POMGNT2, MBL2, TFRC, TGFB1, MIF, HLA-B, HAMP, DHPS, SERPINA3, TLR2, IL1B, FOXP3, FHL5, ACOT7, POTEKP, POTEM, GEM, KIR3DL1, RN7SL263P, ACTG2, ACTG1, ACTB, ACTBL2, HBA2, CYP2B6, HSPA4, LSAMP, TRAP, FCGR3B, HSP90AA1, IL1A, LAMP3, CD81, OR10A4, CCL5, ABCB1, FAS, CD40LG, TEP1, CXCL8, IARS1, HLA-G, CTLA4, HBA1, INSRR, ANGPT2, TYMS, CFH, GSTP1, IFNAR1, AGT, GYPE, FCGR3A, TXN, IL13, HSPB3, APOE, MTCO2P12, ISYNA1, FCGR2C, FYB1, VDR, HLA-A, GSTM1, GSR, ATR, MBL3P, LAIR1, PNP, IL12B, MNAT1, IL1RN, CYP2D6, IGF1, CD55, ACHE, DECR1, COX2, IL3, CCL2, MAPK1, NLRP3, FBXW7, HAVCR2, THBD, VPS51, EMP1, ITGA2B, PTGS2, ANC, IL10RA, XPO1, VNN1, PLEK, UMPS, IL2, IL2RA, TPPP, VWF, ISG20, ADAMTS13, IRF1, IL7R, AIMP2, IL12RB1, CLEC11A, METAP2, CDK5R1, ING1, IL18R1, PGD, HAP1, H6PD, PRDX5, GRAP2, CXCL9, MMP9, MPO, TAP1, CCL4L2, COX1, EBI3, ITGAX, COX3, TLR6, CXCL11, MTHFR, NFKB2, NFYA, NOS1, TBC1D9, ORC1, MCF2, AKAP13, RNF19A, TLR7, NT5C3A, IRAK4, KIR2DS1, CCL4, KIR3DL2, ICOS, COQ2, PSIP1, PECAM1, TPT1, RNASE3, ARTN, TP53, POLDIP2, PDCD1, TLR1, AHSA1, UBL4A, AQP3, AGRP, H3C9P, CYP2C8, CYP2C19, GTF2H4, CRK, RNA18SN5, ANXA2, H3P37, CASP1, NANP, CCL4L1, MAPK14, CXCR3, GNAS, GLO1, FCN2, SMIM10L2B, FKBP4, CD27, FOXO3, RBM45, HM13, IL33, HK1, CCR5, IFNA13, IFNA1, H3P42, DNAJB1, CHIT1, CYP3A4, SMIM10L2A, EGF, CHI3L1, CAT, EPHA2, NSFL1C, ADRB2, MYMX, COX8A, GAPDH, ABCB6, NR1I3, TREML1, PUM3, FMN1, TICAM2, TRIM13, BMS1, FZD4, RABEPK, LANCL1, FUT9, TNFSF13B, DCTN6, CXCR6, ARL6IP5, MRGPRX1, ZNRD2, ASPM, KAT5, RAB7B, CIB1, SEMA3C, ARMH1, STING1, CFDP1, CPQ, MYLK4, DLC1, AKR1A1, PIEZO1, TMPRSS11D, HDAC9, CARTPT, DEFB4B, TIMELESS, SPHK1, TMED7-TICAM2, PSC, VNN2, PROM1, UPK3B, H3P23, H3P28, TNFRSF11A, TNFRSF18, TP63, PDXK, CNTNAP1, DHX16, STK24, H3P19, LOH19CR1, WASHC1, WASH6P, LPAR2, MIR146A, APOBEC3B, SPAG6, CLOCK, ATG5, MIR142, AIM2, ABCG2, PCSK9, MIR155, NCF1, PPIG, MIR29A, VN1R17P, GPR166P, CD163, MIR451A, CXADRP1, ARHGEF2, CERS1, SPINK5, MASP2, GEMIN4, ACD, TLR8, MPPE1, MCPH1, HSPA14, RNF34, TMED7, ARMC9, PPP1R2C, IL22, TRAF3IP2, A1CF, PDCD1LG2, SLC44A4, SGSM3, MCAT, HPGDS, B3GAT1, ROPN1L, PHGDH, RAB14, IL23A, ABCG4, IFIH1, CFC1, BTNL2, MARCHF1, POLE4, CMC2, TMED9, ACKR3, PDXP, RHOF, AICDA, POLD4, RBM25, TOLLIP, TREM1, LGR6, ADA2, BACH2, ERAP1, GOLPH3, PARS2, KRT88P, TRIM5, IL17RE, CHP1, GPR151, NRSN1, EIF5AL1, CD160, APCDD1, ERFE, OXER1, DNAJB1P1, DSTN, GPRC6A, CCNI, ADIRF, EBNA1BP2, TMED2, EHD1, RNPS1, HPSE, SEPTIN9, SCLT1, NT5C2, SLC25A21, LEO1, NLRP12, TIMD4, CDCA5, DBA2, CARD16, PTPMT1, CGAS, RAB39B, TADA1, MRGPRX3, MRGPRX4, PGLS, PANX1, SPO11, LPAR3, CBX5, POFUT2, SPPL3, NBEAL2, LUC7L, PTPRC, FGF23, EIF5, FLT3LG, FLT1, FECH, FBN2, FBN1, FANCD2, F3, EPO, ENO2, ADGRE1, ELK4, ELF4, EIF5A, EIF4G2, CXADR, EGR3, EDNRA, EDN1, S1PR3, RCAN1, ATN1, DNMT1, DEFB4A, DHX9, ACE, DBP, CYP1A2, CYC1, GABPA, GCHFR, GDF1, GPR42, IL4R, IL1R1, IGFBP1, IFNGR1, IFNB1, IFNA2, IFI27, IDE, HTN3, HSPA9, HSD11B1, HRES1, HPRT1, HPR, HPGD, HMGB1, HLA-DOA, UBE2K, HGF, SERPIND1, HBG1, GTF3A, GSTT1, GSN, GPX1, GPT, GRK5, CYBB, CTSL, IL9, ANXA1, C3, BSG, BRS3, BRCA2, PRDM1, BCL2, BAX, ASPA, ASIP, ARR3, NUDT2, ANXA7, ANXA4, ANPEP, CSH2, AMBP, ALOX5, ALB, AHR, AFP, ADSL, ADRA2B, ADRA1A, ADORA2A, ADH1B, ADA, ACP1, ACACA, CAST, CASR, CD1B, CD1C, CSH1, CSF1R, CSF1, CS, CRYZ, CREM, CR2, CLDN4, CPB1, CNTF, CCR4, CLU, ERCC8, CTSC, CEL, CDC25C, CD69, CD68, CD40, ENTPD1, CD34, CD28, CD19, CD14, CD9, CD1E, CD1D, IL5, IL12A, FOSL1, SELE, SPTA1, SPP1, SPINK1, SPG7, SOD3, SOD1, SMN1, SLC16A1, SLC11A1, SLC6A7, SLC2A1, SGCG, SET, SEA, ABCA1, SDC1, CXCL5, CCL22, CCL18, CCL3L1, CCL3, CCL1, SAFB, SORT1, RPS19, RBP2, RANBP2, PEX19, SSR2, SSTR4, DENND2B, STAT6, DDX39B, PRRC2A, PFBI, RAB7A, CXCR4, MOGS, ZBTB16, TRPV1, VCP, USP1, TYRP1, TTR, TTPA, TRPC1, TRP-AGG2-5, TPO, TPH1, TNFRSF1B, TLR3, TGFB2, TRBV20OR9-2, TCN2, HNF1A, TADA2A, ADAM17, TAC1, STK3, PTPRH, PTHLH, IL15, KIR3DS1, MAL, MAF, LTB, LTA, LMAN1, LEPR, LDLR, LCN2, LBR, RPSA, LAG3, KRT13, KNG1, KIR2DS5, PSMD9, KIR2DL3, KIR2DL2, KDR, KCNG1, KARS1, ITPA, ITGB2, ITGAM, ITGAL, CXCL10, IDO1, ILF3, IL18, MAP2, MAP6, MEFV, MVD, PSMD7, PSMD2, PSMB9, PSEN1, PSAP, PRSS1, PROC, MAP2K1, PRKG1, PRKAR1A, PPP1R1A, PPARG, SEPTIN4, PLP1, PGM1, PGAM1, P2RX7, SLC22A18, TNFRSF11B, OMD, ODC1, NOS3, NQO2, NFE2L2, NEK2, MYD88, MYC, H3P5

Malaria, Susceptibility To OMIM

The associated SNP on chromosome 16q22.2, 2334880 (odds ratio = 1.24; P = 3.9 x 10(-8)), is located 6.4 kb upstream of the MARVELD3 gene. ... The HbS allele is maintained at a frequency of 10% in malaria-endemic regions, including sub-Saharan Africa and parts of the Middle East. ... The heterozygous state, denoted HbAS, is not associated with any clinical abnormality and confers a 10-fold increase in protection from life-threatening malaria and lesser protection against mild malaria. ... Homozygosity for T232 was significantly associated with protection from severe malaria in Kenyan children (odds ratio = 0.56; P = 7.1 x 10(-5)), but no association was found with susceptibility to bacterial infection. ... However, PfRh5, which interacted with human erythrocyte BSG (109480) with high affinity, bound with 10-fold lower affinity to chimpanzee Bsg and did not
Malaria Orphanet

A life-threatening parasitic disease caused by Plasmodium ( P. ) parasites that are transmitted by Anophles mosquito bites to humans and is typically clinically characterized by attacks of fever, headache, chills and vomiting.
Malaria GARD

Malaria is a serious and sometimes fatal disease caused by a parasite that commonly infects a certain type of mosquito which feeds on humans. Infection with malaria parasites may result in a wide variety of symptoms, ranging from absent or very mild symptoms to severe disease and even death. People who get malaria are typically very sick with high fevers, shaking chills, and flu-like illness. In general, malaria is a curable disease if diagnosed and treated promptly and correctly. Treatment depends on many factors including disease severity, the species of malaria parasite causing the infection and the part of the world in which the infection was acquired.
Malaria Mayo Clinic

To reduce malaria infections, world health programs distribute preventive drugs and insecticide-treated bed nets to protect people from mosquito bites. The World Health Organization has recommended a malaria vaccine for use in children who live in countries with high numbers of malaria cases. Protective clothing, bed nets and insecticides can protect you while traveling. ... Sprays containing permethrin are safe to apply to clothing. Sleep under a net. Bed nets, particularly those treated with insecticides, such as permethrin, help prevent mosquito bites while you are sleeping.

Estrogen And Neurodegenerative Diseases Wikipedia

In addition, estrogen deprivation is likely to initiate or enhance degenerative changes caused by oxidative stress , and to reduce the brain's ability to maintain synaptic connectivity and cholinergic integrity leading to the cognitive decline seen in aged and disease-afflicted individuals. [5] There is sufficient evidence that estradiol is a powerful neuroprotectant which might have use against AD, stroke and Parkinson's disease both in women and men. [5] Estrogen and Alzheimer's disease [ edit ] This figure shows how APP cleavage produces toxic Abeta in Alzheimer's disease. Amyloid plaques formed by amyloid-β (Aβ) deposition and neurofibrillary tangles formed by tau protein phosphorylation are dominant physiological features of Alzheimer's disease. Amyloid precursor protein (APP) proteolysis is fundamental for production of Aβ peptides implicated in AD pathology. [6] By using a cell line that contains high levels of estrogen receptors, scientists found that treatment with physiological concentrations of 17 beta-estradiol is associated with accumulation in the conditioned medium of an amino-terminal cleavage product of APP (soluble APP or protease nexin-2), indicative of non-amyloidogenic processing. [7] Estrogen and Parkinson's disease [ edit ] Recommendations on the use of postmenopausal hormonal replacement therapy in women with Parkinson's disease or those genetically at risk. [8] But another group of scientists found a positive association between estrogen use and lower symptom severity in women with early PD not yet taking L-dopa . [9] Estrogen and Huntington's disease [ edit ] Huntington's disease (HD) is a polyglutamine disorder based on an expanded CAG triplet repeat [10] leading to cerebral and striatal neurodegeneration. [11] Potential sex differences concerning the age of onset and the course of the disease are poorly defined, as the difficulties of matching female and male HD patients regarding their CAG repeat lengths limit comparability. [12] Estrogen and Amyotrophic lateral sclerosis [ edit ] ALS occurs more commonly in men than in women, and women get the disease later in life compared to men. [13] This suggested the possible protective role of estrogen in ALS. ... Expert Review of Neurotherapeutics . 13 (10): 1085–1088. doi : 10.1586/14737175.2013.836297 . ... "Octyl Gallate Markedly Promotes Anti-amyloidogenic Processing of APP through Estrogen Receptor-Mediated ADAM10 Activation" . ... Expert Opinion on Therapeutic Patents . 23 (10): 1247–1271. doi : 10.1517/13543776.2013.805206 .

Clanging Wikipedia

This is associated with the irregular thinking apparent in psychotic mental illnesses (e.g. mania and schizophrenia ). [1] Gustav Aschaffenburg found that manic individuals generated these "clang-associations" roughly 10–50 times more than non-manic individuals. [2] Aschaffenburg also found that the frequency of these associations increased for all individuals as they became more fatigued. [3] Clanging refers specifically to behavior that is situationally inappropriate. ... Livingstone. p. 32 . ^ Spitzer, Manfred (1999). The mind within the net: Models of learning, thinking, and acting .

Pancreatic Cancer Wikipedia

NETs can start in most organs of the body, including the pancreas, where the various malignant types are all considered to be rare . ... Most cases occur after age 65, [10] while cases before age 40 are uncommon. The disease is slightly more common in men than in women. [10] In the United States, it is over 1.5 times more common in African Americans , though incidence in Africa is low. [10] Cigarette smoking is the best-established avoidable risk factor for pancreatic cancer, approximately doubling risk among long-term smokers, the risk increasing with the number of cigarettes smoked and the years of smoking. ... These are macroscopic lesions, which are found in about 2% of all adults. This rate rises to about 10% by age 70. These lesions have about a 25% risk of developing into invasive cancer. ... Typical sites for metastatic spread (stage IV disease) are the liver, peritoneal cavity and lungs , all of which occur in 50% or more of fully advanced cases. [58] PanNETs [ edit ] The 2010 WHO classification of tumors of the digestive system grades all the pancreatic neuroendocrine tumors (PanNETs) into three categories, based on their degree of cellular differentiation (from "NET G1" through to the poorly differentiated "NET G3"). [19] The U.S.

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MST1R, GSK3B, PRKAB1, CD47, NFATC2, HSPA5, FANCG, PVT1, SHH, MBD1, ETS1, NPTX2, ABCB1, SLC2A1, MUC2, IFNA13, MMP7, MRC1, IGF2, CCN1, NQO1, LUM, MDK, IL10, PTPA, ELAVL2, POU5F1, FLT1, CXCR2, GSTT1, AIMP2, DKK3, MIR23A, KLF10, CRK, MIR214, MUL1, MIR203A, MIR200B, MIR195, APEX1, GRAP2, MIR145, CDKN1B, MIR141, RIPK1, TNFRSF6B, NR1I2, LINC01194, TGFA, THBS1, ALDH1A1, POLDIP2, MICA, NES, HOTTIP, UCA1, POU5F1P4, MIR34A, POU5F1P3, RNF19A, CASP8, CBLL2, CTLA4, AHSA1, RUNX2, ERCC1, OGG1, FANCC, ZG16B, DNER, NTRK1, FGF2, F2RL1, MMP14, FOXO3, CD276, NUPR1, RMC1, MSH2, AFAP1-AS1, DCC, LIF, MIR10B, HDAC1, HDAC2, HMGB1, ACTN4, HMOX1, ADM, ADRB2, IAPP, ICAM1, GDNF, MIR96, MIR25, IL1A, IL2, MIR223, MIR212, MIR205, ANXA1, MIR148A, MMRN1, MIR143, LCN2, MIR132, REG3A, TMEM97, UQCRFS1, STAT1, RET, TGFBI, CDC42, DPP4, CDK2, KLF4, CTNND1, IL32, DSPP, BAG3, CUX1, VDR, TAZ, PIM1, PCNA, SOX9, SEMA5A, XPO1, MAP2K1, SUB1, PRKD1, SPP1, JUN, TOP2A, MLRL, XIST, RAF1, IL4, IL4R, VEGFC, MIR222, MIR216A, NAT2, IL13, MOK, RAD51, TP73, JAK2, MIR23B, MIR29C, IGFBP3, MIR506, SMARCA1, SLC5A5, H3P9, COMMD3-BMI1, SNAI1, HK2, HLA-A, SKP2, SSTR5, FOXA2, SDC1, HSF1, CCL5, MIR27A, MIR494, MIR429, TNC, RRM2, MIR335, MIR17HG, TRA, RREB1, ROCK1, MIR30A, L1CAM, TEAD1, NCOA3, IKZF3, STMN1, BHLHE40, ESRP1, NT5C3A, IL22, PLEC, NXT1, SLC22A3, IL17B, ZEB2, NF2, NFATC1, TSPAN1, CIB1, CACYBP, MRPL28, PDPN, NFKB1, WWTR1, IGF2BP3, BRD4, HPSE, NRAS, NTSR1, COPS5, SERPINE1, PAK1, SIRT3, CDK14, PARPBP, PACC1, MSX2, TP53INP1, SOCS1, LEP, TBC1D9, MIR107, LGALS4, DUSP28, MTA1, PRKCA, UPRT, TM4SF1, LPAR2, SMAD2, MAGT1, MUC13, REG4, VMP1, LONP1, EHMT1, MMP1, FTO, TRPM8, GAS5, NDRG2, KEAP1, ACKR3, SLC12A9, ADAM9, NAT1, CDK6, GEM, GCG, CALR, CDKN3, FGFR2, ADH1C, CCR6, GLS, FHIT, CSF2, FOS, ALDH2, ACVR1B, FKBP5, FOXO1, ALPP, ALPI, GATA6, CETN1, ASS1, TIMM8A, CLDN7, F2R, TSACC, GPRC5A, ADH1B, HULC, FOSB, CASR, PCLAF, SMARCA4, DECR1, CDX2, CDK5, EPHX2, RCBTB1, FSCN1, SOX4, FLT3, MIR663A, LGALS9, UGT1A7, MIR217, CEL, CYP17A1, CLDN1, TRPM7, ISG15, CLOCK, MIR345, SET, CDK7, MIR200A, MIR216B, JUNB, JUND, ADAMTS1, KL, ITGAM, SERPINF1, SFTPD, SHC1, SELE, ITGA2, HDAC3, ARNTL, PBK, TUG1, SLC16A1, PDGFRB, DCN, RGN, KISS1, CHI3L1, SREBF1, IQGAP1, BSND, FGF7, ZNF35, VASH2, YY1, ESR1, AGT, PEAK1, TFF1, TFRC, NOTCH3, EZR, COX8A, FBP1, CLDN4, HAVCR2, VAV1, CRYZ, FASN, TIMP2, MUC6, TSPAN8, MYB, MIR196B, TXN, MIR330, ATF2, MIR31, IL33, AGTR1, VSIR, CES2, LOXL2, TNFRSF10C, PGK1, SSTR4, ABCC3, PEBP1, CEMIP, CLIC1, EGLN3, ADRA1A, PRDM14, HHIP, SLC52A2, MIR29B1, CDCP1, ADRA2B, MIR29B2, TAM, KLK7, MAP3K1, CCR7, ALCAM, MAP3K7, MGMT, MIF, CXCL10, EDNRA, NEK2, RASA1, TPX2, NEAT1, EEF1B2P2, PRMT1, GJB2, KDM1A, APLP2, CXCR6, RBM14-RBM4, MIR146A, GJA1, KANK2, NOX4, REG1A, USP22, MIR150, CA9, HTC2, MAP2K2, CD40, GGT1, GPR42, DKK1, MIR15B, E2F1, PDCD4, FAS, AREG, HHLA2, GOLGA6A, HPGDS, BHLHE22, HNRNPA2B1, MCAT, GOT1, SLCO1B3, RGCC, EIF4E, LILRB1, MIR106B, NRG1, PTK2, PHGDH, PWAR1, CCKAR, ARF6, GSTP1, MSH6, MARK2, EBI3, IGFBP1, S100A8, CDK1, S100A9, RBPJ, S100A11, CAT, GATA4, MIR191, SATB1, CDA, MIR1247, ENO1, CBX7, DNM1L, ABCC5, SERPINA1, SCO2, ARL2BP, BRS3, CHST15, CHEK2, GRP, AKR1A1, GSTM1, PLG, ECT2, PRNP, RPL10, SDF4, MIR17, RBM14, MIRLET7B, PLAC8, ADH1A, TRIM29, THY1, NAF1, C17orf97, ASPH, PTPN1, TCF7L2, TWF1, TPD52, PTPN11, TP53BP1, LPAR1, MTDH, TK1, LMLN, TLR1, TNS4, TGFBR1, TFF3, CRY2, CRMP1, AR, FAM83A, PTK6, PTBP1, TFAP2A, E2F3, KISS1R, TGFB2, MAK16, TIAM1, CCL21, TBX2, IDO2, CYP24A1, RFXAP, CASC2, ROBO1, DNM2, ROS1, SMARCA2, RBM45, RPS6KA2, RPS6KB1, RPS27A, ABHD11-AS1, S100A2, RELA, SIX1, TRIM69, SFRP4, ARHGAP4, LDLRAD3, SEL1L, SARDH, RMDN2, CCL2, PDIK1L, TICAM1, CCL18, DNMT3A, LRG1, TAT, DLX6-AS1, TACR1, PTPN14, TAC1, PTPRC, SOX2-OT, RAB5A, SYT1, STING1, GADL1, PRRT2, CDCA5, DUSP1, STK4, CYP2B6, STAT5B, SNHG15, CYP1A1, DPYSL3, DNMT3B, CYP1A2, CYP1B1, OSBPL5, SSAV1, RECQL, SRY, SRF, AZIN2, BHLHE23, TPM3, CD68, IL23A, PRMT3, PSME3, ABCC4, B3GALT5, GOLM1, TUBB3, ING4, PRMT5, WASF2, VAV3, RMDN1, SEMA4D, DESI2, ATG7, ANP32B, CD40LG, FOXP3, GDE1, ZFR, SLIT2, DLL4, MEG3, COX5A, RMDN3, CDH17, HEATR1, SLC52A1, CDH3, PAF1, IQSEC1, NAMPT, MFN2, KRT20, TLR9, BCL2L11, PTPRU, CDC25B, WWOX, CDC20, ASAP1, TXNIP, BTK, PRPF31, KLF8, DDR1, CTRC, BBC3, CILK1, MYOF, ZHX2, NOC2L, SMG1, CD36, SULF1, CASP9, TFIP11, SLC7A8, ANGPTL2, SNHG1, SRRM2, DAPK2, RASSF1, MAP4K1, FSTL1, SRPX2, DELEC1, CELF2, CTCF, CD86, ERO1A, SLC39A3, AP4B1, EEF2K, GIPC1, CD80, UHRF1, TBK1, MCTS1, CD14, SGSM3, RBMS3, WDR5, CDK8, CDK9, TPT1, COL4A2, COL11A1, WNT10B, DHDDS, XPC, XRCC3, XRCC4, BAX, ZFP36, COL1A2, ULBP2, LIN28A, MANF, MCPH1, TUSC3, TCTN1, BHLHE41, CMM, FOSL1, LAT2, VIP, SYBU, UBC, NR2C2, TRAF2, TRAF6, TMPRSS13, CPOX, TTK, ITCH, TYRO3, NUF2, BAG1, ARHGAP24, ATR, AVP, CLDN3, UTRN, KDM6A, UVRAG, VCL, USP5, LTB4R, WNK1, HAP1, KSR1, CDK5R1, PER3, PER2, PNO1, SQSTM1, BNC1, DIABLO, METTL3, USP9X, TM4SF5, ARTN, AIP, DMAP1, SLC16A4, SLC16A3, DYRK1B, BUB3, CES1, CCN5, CFL1, CHPT1, CMA1, GORASP1, ROBO3, CUL4B, IL21, CIP2A, DENR, CLU, DANCR, TP73-AS1, SMURF1, TNFSF13, AKR1B10, CEACAM1, TNFRSF10D, TNFRSF10A, IL18R1, CCR5, PADI4, MIR629, LINC01672, HSPD1, PAWR, HSPG2, PARN, ITGAV, C20orf181, MME, EPS8, ERBB4, FGF10, ITGA3, GFRA2, PRDX1, SNHG16, MIR451A, PAEP, AKR1B1, MMP11, ALDOA, P2RX7, P2RX5, ALDH1B1, GRK2, MIR296, OLR1, MNAT1, MAP3K10, ITGB2, NTS, MIR204, EPHB4, PFN1, MIR483, KCNJ11, KCNH2, MIR509-1, PER1, PDPK1, MIR497, HOXB7, MIR193B, MIR885, MIR373, HSPA4, ITK, HOXD13, GLI3, PDK1, FGFR4, MICOS10-NBL1, PDCD1, ANGPT1, MITF, TMX2-CTNND1, HSPA2, ANG, IFIT3, ROR2, PHB, TMEM238L, FBN2, MIR1231, IL6ST, IL17A, TNFRSF9, MIR135B, GAPDH, MIR1246, IL9, MTRR, FAT1, MIR148B, FAP, MIR424, MIR375, IL12A, CISD2, NEDD9, IL15, NEDD4, NCL, NBN, NBL1, MUTYH, IL13RA2, MIR374A, MTAP, IL2RA, ADAM8, NPY, NTRK2, NTF3, IRF2, FDPS, MIR1290, FCN2, FBL, GCHFR, PNP, IGF2R, ILK, MSMB, ESRRB, NGFR, NOS2, MIR1291, MSN, MIR1181, FCGR3B, MIR99B, AFP, IL18, NME1, MIR1271, FCGR3A, IKBKB, MIR744, MAP3K5, PRRX1, ELAVL1, POTEF, PPIA, GGT2, APOA2, FOXL1, EIF4EBP1, LASP1, RPSA, CCR2, EIF5A, CXCR3, FOXC1, GGTLC4P, MIR144, BIRC5, PODXL, HFE, UPK3B, HIC1, SNHG14, CDKN2B-AS1, PMS1, SMAD7, MIR15A, MR1, MIR139, LDHB, LTB, GSN, RELN, GRB7, PRSS2, AQP3, EEF1A2, MUC5B, CXCL1, GSK3A, FADS1, MIR601, MIR10A, PRKCB, MIR130B, MIR122, ANXA8L1, PRKAR1A, MIR126, GGTLC3, LRP2, GGTLC5P, ANXA8, EIF4A1, FOLR1, LTA, MAGEA3, CEACAM6, KCNN4, MCC, HNF4G, PCAT1, MCAM, GLO1, HNRNPK, KCNQ1, ENG, MIR196A1, MIR192, MIR185, PLAUR, SLC25A3, PLAT, MAP1A, LINC-ROR, MIR455, FKBP4, MIR181C, MIR183, MIR486-1, FOXA1, BMP8B, PIMREG, MTPAP, ZNF654, RHOF, NLRP2, CCL28, LTB4R2, MRGBP, PRPF40A, MIR874, ERO1B, MIR940, EIF5A2, STYK1, MIR646, MIR92B, IL17RB, LXN, MAML3, FERMT1, SMARCAD1, RIPK4, MIR652, TRPV6, ETNK1, TREM1, TERF2IP, KCMF1, SPHK2, BMP3, CHD7, ANLN, GPR137, MIR374B, MIR935, RETN, STK31, BNIP3L, GACAT2, ADPGK-AS1, OGDHL, CEP55, SNHG9, SARS2, CNDP2, OCIAD1, AGAP2-AS1, INTS11, MIR675, NKRF, ZGLP1, MSTO1, SLC35F6, LINC00462, MIR891B, MIR365A, BOK, PSENEN, ANO1, PIWIL2, KDM3A, PRR11, EXOC2, MIR876, CDKAL1, SULF2, SOX6, NSUN5, MIR1225, SLC38A7, BMP2, DIP, PARP14, KDM7A-DT, UGT1A1, MIR760, UGT1A3, PBRM1, ASPN, LOC729970, BPHL, CC2D1A, RADIL, ST7L, ALKBH5, HHAT, SLC25A36, SYCE1L, DST, MYDGF, MED29, KPNA7, PCBP3, GLS2, ERVK-11, MYB-AS1, LSM1, BANCR, LINC01111, HCAR1, GHET1, CA2, AGO2, SERPING1, LOC102723407, GATD3B, DKK4, SIK1B, CDR1-AS, CAD, CALCR, ANKRD1, SPINK4, MIR5100, UBE2S, RABGEF1, ATAD2, HIPK2, MACROD1, NOB1, ERVK-22, MIR2682, MIR4656, LAMTOR2, REM1, DLL1, SPRY4-IT1, SLCO3A1, SLCO4A1, HTRA2, DESI1, PSC, C3, DNAI1, USP21, SNORA74A, LETMD1, LOC112694756, MOB4, ZEBTR, PRPF40B, LNCRNA-ATB, EML2, CADM1, RAB38, SH3BP4, TMEFF2, ACADS, H3P13, H3P8, ABCA4, FAM215A, DDX58, SERPINA3, USP49, CASP7, IRAIN, LOC110806263, EHF, PERCC1, FGF21, PTPN22, CERNA3, KCNK15-AS1, LINC00976, CAPN1, NUTF2P3, CHD5, SIRT1-AS, ACO1, NECTIN3, CAST, CLIC4, MYRIP, TMEM158, C1GALT1C1, LINC00339, DUOX1, ADAM10, PRKAG2, CRLF3, ZMYND10, MIR1301, MIR1180, MIR634, TLR8, BTC, KLF9, C1QBP, CLDN18, CKLF, ZEB2-AS1, HSPA14, LEF1, MIR663B, MIR4306, ACVR2A, YTHDF2, SIRT6, RAB14, NT5DC3, GPR87, LOXL1-AS1, MBD3, IL17D, LINC00994, BCL11A, ADA2, MAP3K20, CDK12, CMPK1, CAB39, RAB23, SF3B6, MIR1297, PIAS4, MIR1243, MIR1266, MIR3686, A4GNT, INSIG2, IL20, DUOX2, ERVW-1, ACTA2, VSX1, KLRC4-KLRK1, ACP3, UBQLN1, BUB1B, ERVK-2, STRN4, NPC1L1, MIR3064, TSPO, BRD7, MYLIP, ERVK-12, PYCARD, ACVR1, IL21R, IRAK4, PXN-AS1, ANGPTL4, MIR642B, MIR3923, APIP, GMNN, MIR3679, ISOC1, LINC01133, BTF3, ASCC1, SMIM31, TRAT1, LINC00958, F11R, TAS2R10, LINC01006, ARHGEF4, SLC25A37, DIO3OS, EMSY, PROKR2, CD109, ADAT2, GPR151, SLCO6A1, EMB, REG3G, ANPEP, MIR208A, ANGPT2, FATE1, MIR211, TMIGD2, SPNS2, MSI2, ARR3, JDP2, SPPL3, H4-16, CCDC26, MUC17, GATA5, ANXA5, LINC00052, MIR198, MIR199A1, PTGR2, PRIMA1, FBXL14, MIR199A2, MIR19A, MIR19B1, SYT9, MIR20A, CACUL1, ANXA11, ANXA6, TMEM37, BRI3BP, SLC32A1, CYP2R1, TMEM45B, PRAP1, MAL2, MCM3AP-AS1, ALDH1A3, IL17F, MIR28, EGLN2, AGTR2, PPP1R14A, MIR302A, ART1, FOXQ1, ASAH1, DMKN, ASNS, MIR30C1, MARVELD3, LRP5L, MIR30C2, NLRP3, MIR155HG, ALPG, MIR224, MIR215, TWIST2, MRGPRX4, MRGPRX3, DCD, ANIB1, TM4SF18, CMTM5, CTHRC1, MIR219A1, NOSTRIN, MIR22, UHRF2, ALOX15, FBXO32, ALK, CSMD2, MIR197, SIK1, APAF1, MIR127, MCIDAS, MIR129-2, RSPO2, KLK3, ANO9, APRT, CHSY3, TRIM59, APOC1, ARG1, LYPD5, LINC00346, LINC01559, OR10A4, BCL9L, APOA1, SLC25A45, MACC1, PWAR4, SBF2-AS1, DNAAF3, CCSER1, PAIP2B, LINC01121, C16orf74, HRNR, MIRLET7C, SERPINA13P, CEP85L, MIRLET7D, LINC-PINT, MIR100, MIR106A, FASLG, ENTPD8, GSTK1, TMPRSS9, MIR125A, H19, ASPM, MIR193A, MUC20, ARID2, B3GNT6, MIR182, ADAMTS18, OIT3, BHLHA15, OXER1, IFNLR1, SLFN5, EML5, CLEC14A, MIR186, SLC5A8, RHOB, FEZF1-AS1, NKAIN2, DAB2IP, MIR181A2, CENPX, MRGPRX1, MED19, MIR149, SGMS1, NPCA1, FAM133B, ARG2, MIR152, RICTOR, IL27, SEMA3D, BIRC2, GPRC6A, FOXK1, KDM1B, MIR18A, ALKBH3, MARCHF8, VWCE, LINC00473, MIR32, SMYD2, SMURF2, NIBAN2, YTHDC2, PORCN, IL25, DEPTOR, ILRUN, S100PBP, SMYD3, TMPRSS3, PNPT1, HIF3A, COP1, RHBDF1, MMS19, LINC01060, BGLAP, MIIP, SAV1, MIR520H, PINK1, MIR519D, MIR181D, BCL6, DHX40, DYNC2H1, TMEM204, MIR489, MIR146B, BCR, MIR202, PLEKHF1, MIR492, BDNF, MIR493, CFB, GGCT, STK33, ADRB3, CDK15, AFAP1, LGR6, ACE2, SLURP1, ADH4, PNPLA2, CXADRP1, CIAPIN1, ADAMTS9, PRDM1, H3P38, MIR539, SNORA25, MIR421, MIR584, KIF15, OTUD7B, MIR607, MIR608, MIR613, MIR623, CD248, NORAD, IL22RA1, ADH6, SNX6, SINHCAF, HAMP, ANKRD36B, KLHL1, MRTFA, CFAP97, PCDH10, CERNA2, CRNDE, MIB1, RPTOR, ARID1B, PPM1H, BGN, AICDA, PARP4, MIR485, MIR410, BCKDHB, VN1R17P, EBPL, GPR166P, FOXB2, XRCC6P5, ZGPAT, NT5C1A, MCHR2, HOPX, MCM8, RAB11FIP4, PROK1, RPAIN, MIR331, AP2A1, MIR340, USP44, MIR367, TRIM63, KDM2B, MIR370, MIAT, TSLP, NKD1, MIR320A, MIR34B, SNHG7, MIR93, JAG1, RAB2B, ATAD1, PARP10, MIR99A, RIOX2, KMT5C, PSRC1, CRISP1, ASTL, HINT2, MYCBPAP, ATF3, SH3D21, PPP1R2C, GRHL2, DUXAP8, JADE1, DUXAP10, NANOG, UBA5, NBDY, MFSD13A, KDM8, MIR448, MIR449A, H4C15, MIR431, MMRN2, MYH14, BCHE, MIR452, NAA25, CEP70, MIR371A, MIR425, RERE, IMMP2L, HASPIN, SUMO1P3, SESN2, VANGL1, NETO2, MIR377, MIR381, MIR384, NECTIN4, AZGP1, ZFP91, ITIH5, SLC44A4, SRCIN1, BAK1, GPX2, HS3ST3B1, LPAR3, PLOD2, EFNB2, PKN1, EGR1, PRKAR2A, PRKACG, EGR3, EIF4A2, PRELP, PPP5C, PPP1R1A, PPID, PPIB, MED1, PPARA, PON2, PON1, POLE, POLD1, PNMT, PNLIP, PMS2, PMS2P3, PMAIP1, PRKCZ, PRKDC, EFNA2, PTAFR, PTPRJ, PTPRG, PTPRA, PTPN13, QSOX1, PTN, E2F2, PTGS1, PTH, PTGER4, PSMD10, EEF1G, PYY, PRTN3, KLK10, HTRA1, KLK6, PRSS3, EDNRB, PROX1, EEF1A1, MAPK9, PLXNA1, CELA1, DYRK1A, PLEK, CDK16, PCBP1, PCBD1, PBX3, PAX6, PAX5, PAK3, PAK2, EREG, SERPINB2, ERCC4, PAFAH1B2, PCSK6, P2RY6, P2RY2, OSM, OSBP, ORM1, OPRM1, OPRD1, TNFRSF11B, ERCC5, ODC1, PCYT1A, PDE8A, PDGFA, PIGR, ELK3, PLCB3, EMD, PLA2G4A, PKLR, PKD1, PIN1, EPHA1, EPHA4, EPHB1, EPHB3, PDGFB, PGR, PFKP, PFKM, PFKFB4, PFDN5, PEG3, PECAM1, PDZK1, ENPP1, PDK4, PVR, RGL2, PSD4, SAFB, SLC1A2, DCX, SKIL, SKI, SIM2, ST3GAL4, ST6GAL1, DDB2, SFRP1, DDT, SELP, CX3CL1, XCL1, CXCL5, DLD, CCL8, CCL7, DMD, SRL, SCTR, SCN10A, SCN9A, SARS1, ACE, SLC5A1, DCTD, DAG1, SPP2, CYP2C19, SPG7, CYP3A4, SOX12, SOX15, CYP51A1, SOS1, SOD3, DACH1, SNCG, SLC6A8, DAP, SMO, SMN2, SMN1, SMARCC1, DAPK1, SLPI, DAPK3, SLC9A1, SLC8A1, SAI1, S100B, RAB27A, S100A10, RGS16, TRIM27, REST, REN, RDX, RBP4, RBP1, RBM3, KDM5A, DPEP1, RASGRF1, PLAAT4, RARB, RAP1B, RAP1A, RALA, RAG2, DRD2, HBEGF, RAD17, DVL2, RABIF, RAB27B, RNASE1, RNASE3, RNASEL, RPS8, S100A7, S100A6, DNA2, SORT1, S100A1, RXRA, DNAH5, DNASE1, DYNC1H1, RPS15A, RPS6KA3, RNF2, RPS6KA1, RPL39, RPL34, RPL29, RPL26, RPE65, RORB, RORA, SNORA73A, BRD2, ERG, NTRK3, ERN1, IARS1, GAS6, GATA1, GATA2, GATA3, IGSF1, GC, IGFBP7, IGFBP2, GCK, GCKR, GCNT1, IFNB1, IFNAR1, IFNA17, GCY, GDF2, GDF10, IFN1@, GFPT1, IDH1, ID2, IRF8, ICAM2, CXCR1, GALNT3, GAD2, ITGB4, KRT8, FRZB, FUS, KCNK2, FUT3, FUT4, GABBR1, JAK1, JAG2, EIF6, GABRA3, GAD1, ITGA5, ITGA1, ISG20, IRS1, IRF1, ITGA6, GABRP, INSR, INPP4A, IDO1, GFRA1, HYAL1, NT5E, HTR1D, HLA-DRB1, HLA-DOA, HLA-C, HLA-B, GOT2, GP2, HGFAC, GPI, HDGF, HCRTR1, HCRT, H2AX, H1-5, H1-4, GUSB, GUCY2C, GPT, GSTM3, GPX1, GRM1, GRIA3, GRB10, GRB2, GNRHR, HMGB2, HMGCR, HPD, HTR1B, HSPE1, GHR, GHRH, HSPA9, GJB1, HES1, AGFG1, GPC3, HPGD, HOXB9, GLUL, HOXB8, HOXB6, HOXB2, HOXA1, HNRNPU, HNRNPC, ONECUT1, HNF4A, GLUD1, HMMR, KRT17, KRT18, KRT19, FPR2, NEDD8, MYH9, MYD88, FANCD2, MMUT, TRIM37, PTK2B, MTR, ND2, FBLN2, MT1M, MRE11, MPST, MPO, MPL, MMP16, MMP15, GPC4, MMP13, MMP12, FER, MMP3, GPC5, NELL1, NEO1, NEU2, NQO2, YBX1, NRTN, NPY2R, NPM1, NPC1, CCN3, NOTCH2, NOS1, NOP2, NNMT, NM, NEUROD1, NHS, ETV4, NFYA, ETV5, EWSR1, EYA2, NFE2, F9, F10, NEUROG1, KMT2A, MAP3K9, MKI67, FLNA, LMO2, LMNB1, LLGL1, LIPE, LIMS1, LIMK2, LIMK1, LIG4, LIG3, LIFR, FLNB, LPA, LGALS3BP, FOLH1, LFNG, LEPR, FOLR2, LBR, LAMC2, LAMP1, LAMB3, LAG3, LOX, LRP1, MICB, VEGFD, MFAP1, FH, MAP3K4, MAP3K3, MEF2D, MEF2A, MECP2, ME2, FHL2, MDH1, MATK, LRP6, MAT1A, MAP2, SMAD6, SMAD3, SMAD1, FOXD1, TACSTD2, FLI1, BCAM, LTA4H, SPOCK1, CYP2B7P, SREBF2, MVP, GDF11, TRIM13, RBM5, RBM6, TRIM28, G3BP1, ARFRP1, FRY, LRPPRC, RAD50, PPIF, ACTR2, ARPC4, EDIL3, IL18BP, ABCB6, GNE, HDAC6, AKT3, HNRNPDL, NUP153, NR1H4, NR1I3, TRIB1, CNKSR1, SF3B4, CD74, DDX17, CD63, SEMA3C, CARM1, CAP1, MERTK, TACC3, GPNMB, BASP1, RACK1, DLC1, CDK2AP2, IRF9, TUBA1B, MICU1, KLF2, WARS2, TLR6, TNIP1, RTN3, SF3A1, STUB1, MED12, USP15, MSC, GPX4, LITAF, MAGED1, ROCK2, ATG5, RASAL2, MAP4K4, AIM2, GSTO1, QKI, NTN1, RECQL5, CD101, KIF3B, SLC9A3R1, SLC9A3R2, CD163, SOCS6, SNORD22, ADGRG1, BCL7B, PIWIL1, MAPKAPK2, AIMP1, SCAMP1, BAG5, CDH13, SDC3, DLEC1, KIF14, NUAK1, TLK1, CDC25C, MTSS1, SETD1A, USP34, CDH5, DCAF1, MDC1, PTGES, SOCS5, TTLL4, WTAP, PRDX6, APOBEC3B, SPAG6, CDH11, CHD1L, CXCL14, EI24, NEBL, CD59, ARPC1A, HTATIP2, KLRK1, ARHGEF15, MLXIP, FASTKD2, NLRP1, VASH1, CCNA2, ITGA11, CBX3, TUSC2, PDAP1, PHB2, GPR182, SLCO2B1, KLF12, FILIP1L, SLC6A14, GALNT5, CCNB1, WIF1, MAP4K5, RPP14, ADAMTS8, KIFAP3, SIRT2, STK38L, NCAPH, ZNF281, 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Esophageal Food Bolus Obstruction Wikipedia

An increasingly commonly recognized cause for esophageal food bolus obstruction is eosinophilic esophagitis , which is an inflammatory disorder of the mucosa of the esophagus, of unknown cause. [7] [8] Many alterations caused by eosinophilic esophagitis can predispose to food boluses; these include the presence of multiple rings and narrowing of the lumen. [9] When considering esophageal dilation to treat a patient with food bolus obstruction, care must be made to look for features of eosinophilic esophagitis, as these patients are at a higher risk of dilation-associated complications. [10] Other conditions that predispose to food bolus obstructions are esophageal webs , tracheoesophageal fistula / esophageal atresia (TOF/OA) and peptic strictures . [7] Food boluses are common in the course of illness in patients with esophageal cancer but are more difficult to treat as endoscopy to push the bolus is less safe. ... ] and the use of large-bore tubes inserted into the esophagus to forcefully lavage it. [17] [ unreliable medical source? ] Endoscopic [ edit ] The Roth net can be inserted through the endoscope to remove pieces of the obstructed food. ... Traditional endoscopic techniques involved the use of an overtube, a plastic tube inserted into the esophagus prior to the removal of the food bolus, in order to reduce the risk of aspiration into the lungs at the time of endoscopy. [7] However, the "push technique", which involves insufflating air into the esophagus, and gently pushing the bolus toward the stomach instead, has emerged as a common and safe way of removing the obstruction. [7] [18] Other tools may be used to remove food boluses. The Roth Net is a mesh net that can be inserted through the endoscope, and opened and closed from the outside; it can be used to retrieve pieces of obstructed food. ... Clinical Gastroenterology and Hepatology . 5 (10): 1149–53. doi : 10.1016/j.cgh.2007.05.017 . ... "Review of food bolus management" . Can. J. Gastroenterol . 22 (10): 805–8. doi : 10.1155/2008/682082 .

Quartan Fever Wikipedia

Spraying is a method in multiple regions and to control epidemics. [10] Nets treated with insecticide are effective in preventing mosquito contact for three years. ... House improvements including windows, installation and sealed doors reduce the risk of coming in contact with the infected mosquitoes. [10] Larval source management is the control and monitoring of aquatic environments in order to prevent fully Anopheles mosquitoes from fully developing. [10] Mosquitoes require aquatic environments in order to fully mature and develop. ... When removing any water-filled containers from the surrounding area the mosquito life cycle is halted and acts as a method to reduce mosquito population within the surrounding area. [11] Clothing can act as a physical barrier to prevent exposure of flesh for mosquitoes to feed on, treating beds and clothing with insecticides/repellents can further reduce chances of infected mosquitoes from biting and passing quartan fever to individuals. [10] Avoiding areas which have high mosquito populations, specifically for quartan fever the P. malariae strain. [10] Avoiding travelling to regions which have a sub-tropic climate to prevent infection and developing quartan fever. [10] Implementing the sugar baiting method aids in reducing the population of Anopheles mosquitoes, and ultimately reducing the likelihood of catching quartan fever. ... DAILY MED . 8 July 2010 . Retrieved 10 May 2019 . ^ a b "Malaria" . 2019 . Retrieved 10 May 2019 . ^ a b Kayentao, K (23 February 2012).