Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. - Wikidata - awgldk - TriplyDB

Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

http://www.wikidata.org/entity/Q30300404

about

Autoimmune diseases - connecting risk alleles with molecular traits of the immune system.Making sense of GWAS: using epigenomics and genome engineering to understand the functional relevance of SNPs in non-coding regions of the human genome Evaluation of Candidate Biomarkers of Type 1 Diabetes via the Core for Assay Validation New insights from monogenic diabetes for "common" type 2 diabetes The immunogenetics of Behçet's disease: A comprehensive review Capture Hi-C identifies a novel causal gene, IL20RA, in the pan-autoimmune genetic susceptibility region 6q23 Dissecting the genetics of complex traits using summary association statistics Can non-HLA Single Nucleotide Polymorphisms Help Stratify Risk in TrialNet Relatives at Risk for Type 1 Diabetes?Genetics and its potential to improve type 1 diabetes care.A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases Genetic and epigenetic variation in the lineage specification of regulatory T cells.Summary of the Type 1 Diabetes Genetics Consortium Autoantibody Workshop Additive and interaction effects at three amino acid positions in HLA-DQ and HLA-DR molecules drive type 1 diabetes risk Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping Design and Measurement of Nonislet-Specific Autoantibodies for the Type 1 Diabetes Genetics Consortium Autoantibody Workshop Integration of disease association and eQTL data using a Bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping Studies.Imputation of orofacial clefting data identifies novel risk loci and sheds light on the genetic background of cleft lip ± cleft palate and cleft palate only.Inherited Variation in Vitamin D Genes and Type 1 Diabetes Predisposition.Effects of Type 1 Diabetes Risk Alleles on Immune Cell Gene Expression A pleiotropy-informed Bayesian false discovery rate adapted to a shared control design finds new disease associations from GWAS summary statistics.Genetic basis of autoimmunity.Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions.Transcriptional Regulation of the Pancreatic Islet: Implications for Islet Function.Genetic variants alter T-bet binding and gene expression in mucosal inflammatory disease.Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells.Capture Hi-C reveals novel candidate genes and complex long-range interactions with related autoimmune risk loci Blood-based signatures in type 1 diabetes.Statistical colocalization of genetic risk variants for related autoimmune diseases in the context of common controls.Systematic Evaluation of Genes and Genetic Variants Associated with Type 1 Diabetes Susceptibility.Type 1 Diabetes--Reaping the Rewards of a Targeted Research Investment.Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes Joint Bayesian inference of risk variants and tissue-specific epigenomic enrichments across multiple complex human diseases Common variants at PVT1, ATG13-AMBRA1, AHI1 and CLEC16A are associated with selective IgA deficiency.Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells.Increased DNA methylation variability in type 1 diabetes across three immune effector cell types.Frequency of TNFA, INFG, and IL10 Gene Polymorphisms and Their Association with Malaria Vivax and Genomic Ancestry.The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem.The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)Genetic risk variants for metabolic traits in Arab populations

P2860

Q26767040-643B935B-72A9-454F-9BFF-40AEF158939E Q26771497-43E70023-755D-4638-A472-B625888E8B99 Q26783728-148AA1CE-2914-4F57-8E8E-327EF1CC3525 Q26795455-66BFCE05-5662-4675-96D5-C779919791BF Q28088324-EC785B91-5BAE-44AD-8BF6-74B9D3D42457 Q28109583-10270408-D010-45C9-A292-C31AEF8B4D57 Q30241340-B5856C1A-61AC-4B85-99A3-8EE4D55F4DEB Q30252380-A2285743-FACF-4217-92BC-2BADF5E9063A Q30252400-5E10666E-7F27-4F38-B523-8493F5C58D9E Q30276804-DFAE3257-7156-4385-9D77-30E664FF6D68 Q30278461-DAC739F5-3CC5-42EE-BE42-546858D762F6 Q30278630-E8E574D3-31EE-44A5-A9F8-DF2C643C8AB6 Q30279028-55A7DA27-30AE-4E64-9826-8C3616AAAAED Q30279124-9514D3FC-6FC5-42F0-916E-BBFD6B17464C Q30356194-BFA75C6F-F4AB-4E25-870D-DF5DC44716CB Q30904970-07D03253-5D42-40FB-8985-B77F01D6BC3B Q30981389-E7BE22F3-A640-4556-81BB-EBA70799F034 Q31154691-BB2D553C-122C-43B2-AA62-1C091E37F3C2 Q33608535-F14A2C90-3F69-4816-AF9F-895D66432BD8 Q33836846-B9A82B2F-E504-45A7-9A89-24966AC2D12F Q35556879-045469CC-BEB1-4846-A211-3B0C6276874B Q35836108-502C8116-977B-493A-A0F7-A93E94B723A2 Q36065460-FF8E49A0-C561-42E6-BB07-E4CD11FE305F Q36121381-DCDC7B8C-1175-46D5-95AE-FB158A8A535B Q36277126-8D065FBD-093E-4756-8B6E-36A3A456B326 Q36293782-81A756DA-1628-40C7-9055-974172CE2C80 Q36360629-D2EE2948-1818-4E13-9809-93E0F9F486C4 Q36552481-DFD0F465-44E5-4AC1-954C-56CB1872CFE9 Q36583956-027BF303-78E9-40F9-9093-6AD1808BD4ED Q36706276-C3CE9565-1F2F-4D96-BE5B-6BA59428F5BB Q36926214-2C78561B-DA9F-4C36-8AF7-344B8E1325E3 Q37036350-DD721063-815C-4EA5-91C4-4E10FBCC459C Q37336953-633B395C-1097-4AB0-99EB-74F26DB6BD5C Q37378028-93C51470-28B2-43DF-B04D-95F3E59F0D3B Q37429886-13E24977-7680-4E8C-B8CB-0FDC75501C57 Q37479109-799915C6-2A93-44AB-BD36-1D142EDE313E Q37483372-2800AED7-DA5F-48EA-AF8F-C9836416156B Q37492119-69B1219B-F55C-4F09-9EAE-F18B3974ECE0 Q37556898-A56FA777-8977-4F60-B1DD-5306F5C1236C Q37595238-EA6C0BE9-6D1E-41FF-8D95-0F80EE41E101

P2860

Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.

http://www.wikidata.org/entity/Q30300404

description

2015 nî lūn-bûn

@nan

2015 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի մարտին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@ast

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@en

type

label

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@ast

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@en

prefLabel

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@ast

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@en

P1433

Q30300404-6E6A81C1-0565-475F-8EB7-3366D05B367B

P1476

Q30300404-0EFEB356-6283-4CD5-9740-D3222F58AD17

P2093

Q30300404-216A71D6-346B-471F-BF4E-C401C45E684A

Q30300404-22A2C2B7-8F99-42A2-9193-6D1B30E2CF00

Q30300404-2E41C16F-7861-4B32-A8E8-E555BB5E6742

Q30300404-488A052A-AA4E-4EC3-A251-1A830FE753B2

Q30300404-4935D5F7-7FAC-462D-83AE-0BFA446EB1D3

Q30300404-5100E309-B46E-4740-A627-3B7BC770553F

Q30300404-B1D4140A-6D85-4A62-969C-7494CE33FB1F

Q30300404-B4636CC2-8F4C-4E7B-B9C5-BC7FBB3A686B

Q30300404-CE2F2D5B-ADBB-4881-9096-9F91F863816E

Q30300404-E6B2E5C2-7343-4D4E-93B9-88714B37FBC5

P2860

Q30300404-015B0C89-C00D-4893-B62B-7A8C12E22DF6

Q30300404-05592C40-AE8E-436E-895D-D0EC81AB0740

Q30300404-079A262A-6C2A-4E46-A55A-9A08A1D1AFCF

Q30300404-1638DCC6-8B34-4496-AD28-79807D39C91C

Q30300404-1710EB04-F616-4D96-A533-3D54000E4627

Q30300404-201135FD-4E7A-45BF-826D-C87E8D261C28

Q30300404-25941959-6B94-42FE-934C-FE3B6C4F2F4B

Q30300404-306B22D7-FAA2-4F28-B8F8-0F87DC8D1E34

Q30300404-32E9A79E-3E24-4123-A7D7-858A170C1140

Q30300404-41F6B608-5114-409A-8CE9-8572B62C716F

P2888

Q30300404-F79A2FB5-5416-4447-96EC-2D0E0A2A6054

P304

Q30300404-B47AB177-7853-47C5-80A8-F891B9072732

P31

Q30300404-74701D34-74C1-4551-AAEE-AB1028CE0794

P356

Q30300404-B5A4567D-54A5-45C7-80CE-C788A9A72C4A

P407

Q30300404-F029B0BC-D99A-4040-967B-8219EE185353

P433

Q30300404-2D6B3269-7716-4EAB-B9D6-ABA218A3A97C

P478

Q30300404-04387B43-8A85-4A51-9ACB-98C37A420560

P50

Q30300404-009FC984-3416-464F-B173-1D81A45C3E22

Q30300404-04918F43-F8BB-4732-A155-19A8B5A3DEDB

Q30300404-0BA98A80-B25E-4651-B4A6-D14FD8AF00C0

Q30300404-10A438F2-E6AF-4166-9BDA-AD904EB1A9D1

Q30300404-48C9E867-97D5-4509-8C92-2F44244FA331

Q30300404-4994795D-4EE0-4BE9-94FC-854CA56C2F32

Q30300404-4E4331CB-EDF5-45F8-AA75-CCF40A7622F4

Q30300404-B07FA73B-BFF3-496A-8DE7-ECFADF5ACA5E

Q30300404-C191EBBE-8DE0-4D32-8779-DE9AB264E5DC

Q30300404-E53E49FC-3DF9-4E26-A77C-762DFEB24124

P577

Q30300404-13259ADB-6270-4B6D-8F64-41C134593B90

P698

Q30300404-45173F4A-4687-4B70-BEBE-6DD9DBFD17C1

P921

Q30300404-7856D179-C1F4-4A83-8F2D-1A892D325562

Q30300404-9BFD3B6D-7392-43AC-98D2-2B0BC4768C51

P932

Q30300404-7BED1A78-50AE-4A87-A53C-ADED2B023618

P356

P1433

Nature Genetics

P1476

Fine mapping of type 1 diabete ...... with lymphoid gene enhancers.

@en

P2093

Emily Farber

http://www.w3.org/2001/XMLSchema#string

Helen Stevens

http://www.w3.org/2001/XMLSchema#string

Hui Guo

http://www.w3.org/2001/XMLSchema#string

Jason D Cooper

http://www.w3.org/2001/XMLSchema#string

Jessica K Bonnie

http://www.w3.org/2001/XMLSchema#string

Josyf C Mychaleckyj

http://www.w3.org/2001/XMLSchema#string

Mary D Fortune

http://www.w3.org/2001/XMLSchema#string

Nick J Cooper

http://www.w3.org/2001/XMLSchema#string

Premanand Achuthan

http://www.w3.org/2001/XMLSchema#string

Stephen S Rich

http://www.w3.org/2001/XMLSchema#string

P2860

Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

A map of human genome variation from population-scale sequencing

Shared and distinct genetic variants in type 1 diabetes and celiac disease

Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

Dense fine-mapping study identifies new susceptibility loci for primary biliary cirrhosis

Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes

PLINK: a tool set for whole-genome association and population-based linkage analyses

Principal components analysis corrects for stratification in genome-wide association studies

P2888

P304

381-386

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/NG.3245

http://www.w3.org/2001/XMLSchema#string

P407

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

47

http://www.w3.org/2001/XMLSchema#string

P50

Jeffrey C Barrett

Aaron R Quinlan

Mark Joseph Daly

P577

2015-03-09T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

25751624

http://www.w3.org/2001/XMLSchema#string

P921

type-1 diabetes

susceptibility locus

P932

4380767

http://www.w3.org/2001/XMLSchema#string