Imputation and quality control steps for combining multiple genome-wide datasets. - Wikidata - awgldk - TriplyDB

Imputation and quality control steps for combining multiple genome-wide datasets.

Imputation and quality control steps for combining multiple genome-wide datasets.

http://www.wikidata.org/entity/Q34677930

about

High-density genotyping of immune-related loci identifies new SLE risk variants in individuals with Asian ancestry The phenotypic legacy of admixture between modern humans and Neandertals eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants Analysis of Heritability Using Genome-Wide Data Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis.Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols.A GWAS Study on Liver Function Test Using eMERGE Network Participants Genomewide association study of tenofovir pharmacokinetics and creatinine clearance in AIDS Clinical Trials Group protocol A5202 A Validated Phenotyping Algorithm for Genetic Association Studies in Age-related Macular Degeneration.Biology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network.A loss of function variant in CASP7 protects against Alzheimer's disease in homozygous APOE ε4 allele carriers.Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases.Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium.Penetrance of Hemochromatosis in HFE Genotypes Resulting in p.Cys282Tyr and p.[Cys282Tyr];[His63Asp] in the eMERGE Network Genome-wide study of resistant hypertension identified from electronic health records.A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic Aneurysms Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202.Association of breast cancer risk and the mTOR pathway in women of African ancestry in 'The Root' Consortium.Genetic risk models: Influence of model size on risk estimates and precision.Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.Identification of Four Novel Loci in Asthma in European American and African American Populations.Vitamin D Receptor Gene Polymorphisms Are Associated with Abdominal Visceral Adipose Tissue Volume and Serum Adipokine Concentrations but Not with Body Mass Index or Waist Circumference in African Americans: The Jackson Heart Study.Genotype imputation in the domestic dog Genetic variation in the Vitamin D related pathway and breast cancer risk in women of African ancestry in the Root Consortium.Population-specific genotype imputations using minimac or IMPUTE2.The foundation of precision medicine: integration of electronic health records with genomics through basic, clinical, and translational research.Heritable genotype contrast mining reveals novel gene associations specific to autism subgroups.Penetrance of Polygenic Obesity Susceptibility Loci across the Body Mass Index Distribution.Transcription factors operate across disease loci, with EBNA2 implicated in autoimmunity.Genome-wide and candidate gene approaches of clopidogrel efficacy using pharmacodynamic and clinical end points-Rationale and design of the International Clopidogrel Pharmacogenomics Consortium (ICPC).Genome-wide association study of extreme high bone mass: Contribution of common genetic variation to extreme BMD phenotypes and potential novel BMD-associated genes

P2860

Q27316407-6C417A45-B487-4311-A3A7-BFE29F937F84 Q28603615-FB20E9F3-62E3-4EC2-98F0-B8C4BE1618E7 Q30391938-7CA30CC6-BF4A-49A4-8595-A2C0FB9BDC9C Q31136092-4D469B2A-8CD3-4EB3-8FEA-08AB175226AA Q34531775-A0005CE9-6CFB-4C8A-A56B-409B3DBA33C7 Q34544753-19887B22-6282-4B7B-A0B5-66B18B7D07AB Q35408073-98BDC69D-626C-4D7F-AA61-7011541FDD61 Q35790200-DB6DFF56-173B-43E3-94DA-940013589975 Q35908584-C63EB2D5-D4EF-45D2-A7F8-FFCDC9947CF6 Q35932943-58D361D4-23DF-4452-A8AC-322CEE51F5D3 Q35997343-C8B85015-406C-45C0-B61B-D72E49173C30 Q36064459-CECDD5B4-2C06-4A72-95C2-BD8433974A24 Q36100091-0F88F8E2-F83B-4C9F-9D9D-17A0C3DD6073 Q36131514-DB01D2F0-7C8F-40B5-91FA-3EB8EA935815 Q36133270-EF32B0A9-32B4-4D81-9805-EF2D9A8A0D03 Q36286203-AED4E22F-2C0A-4ADA-ACCE-CC207FB9634B Q36464043-D1203483-1526-46A3-8214-7DA21D53C5A5 Q36613365-22107686-981B-4BE1-AC18-9745B2369CA3 Q37240605-13434F55-ECFC-448A-BD45-1B39B42334BF Q37617319-404D9147-BD42-4CBB-AECE-7F7553C144F7 Q38743221-DBE25A3E-711D-4C96-A5ED-6BDD81262F54 Q38961006-7987565C-254D-46CF-83C2-1DC60E675F12 Q39074820-AF77C8C0-EC92-4C09-BEB1-BB187F773A66 Q39407138-43E5755B-B5AD-4FD8-8A9D-A6C2AD9611EA Q39643783-5A685083-2C05-432E-A114-DE02006EB3F7 Q39809286-80CAE63B-DE19-43CC-A7CE-DEDD441F65BC Q40048366-C4856507-59E5-485D-854D-A7644C4CC5F7 Q41530610-C5C8C894-FF66-4CD1-B56C-5D8FA5B2B668 Q42067358-3ED51607-DBFD-42E3-A765-BDC879982D59 Q47290717-CD1D677E-5111-4633-97B5-66F911D971CF Q47583316-471EB1C3-00B8-4C95-BA3B-E76DAA39EE0C Q52319664-889FD272-D1B5-43AE-BA8A-4364CA4FA561 Q52589473-720D064F-DA40-46DA-A894-CE373E87EC00 Q57101451-F04413C5-BE12-46C3-A6BB-1E17C21C4A46

P2860

Imputation and quality control steps for combining multiple genome-wide datasets.

http://www.wikidata.org/entity/Q34677930

description

2014 nî lūn-bûn

@nan

2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Imputation and quality control steps for combining multiple genome-wide datasets.

@ast

Imputation and quality control steps for combining multiple genome-wide datasets.

@en

Imputation and quality control steps for combining multiple genome-wide datasets.

@nl

type

label

Imputation and quality control steps for combining multiple genome-wide datasets.

@ast

Imputation and quality control steps for combining multiple genome-wide datasets.

@en

Imputation and quality control steps for combining multiple genome-wide datasets.

@nl

prefLabel

Imputation and quality control steps for combining multiple genome-wide datasets.

@ast

Imputation and quality control steps for combining multiple genome-wide datasets.

@en

Imputation and quality control steps for combining multiple genome-wide datasets.

@nl

P1433

Q34677930-6E124570-B931-49FF-8A66-A37E34C52BB7

P1476

Q34677930-DFD456FB-BE00-417F-86C7-A5D24859C5D2

P2093

Q34677930-0582A3C5-09AC-49CD-8C80-3521F3BA3F7E

Q34677930-3C33CF8D-40D0-41A7-BF1F-6CD50A31F955

Q34677930-6C691236-F5B7-43F5-AEAC-7046B0177B6B

Q34677930-7D182C60-EC17-4D97-AC64-796ECD0C7498

Q34677930-8F92C9EA-CD45-45F7-A8EE-75D85F707566

Q34677930-AAA63F20-5E7E-4992-9766-5067F6969B72

Q34677930-BB537C08-FD21-4273-AF96-2C4838C8693F

Q34677930-D0668318-6CD6-4F85-89CD-97CBF01A481F

Q34677930-E25CBB38-70C9-49C8-986F-3835AD46D4D1

P2860

Q34677930-0879B7C4-AE8F-4044-8126-ADD3208B8D6B

Q34677930-0CA53683-21D2-4202-963A-10055CECDC57

Q34677930-0EF7ABCA-CBE1-44AF-A528-4A34E068522B

Q34677930-15D40001-D3B7-473E-B39F-CAC1D3F1CAC0

Q34677930-199FDDD7-EFA0-4574-8E0D-FC7B83BF23C8

Q34677930-1D15C693-573C-4B96-8B17-C54E4DF24A4E

Q34677930-1F9ACEA0-C337-4F02-B17D-C8F4D266F1EA

Q34677930-21286D2C-DE14-4A2B-88F5-A71FF101CA6F

Q34677930-244BF53D-0AA7-48A0-A61E-025864CAA2FC

Q34677930-275224FB-8DCA-4AC1-AA9F-0E884EBED95B

P304

Q34677930-46AAACB5-E5CE-442D-ADF6-E8A0C289FAE5

P31

Q34677930-5A975D37-398B-4379-803F-BDA987C21FE2

P356

Q34677930-F59D477E-B031-4851-BB16-DD07CB3D958F

P478

Q34677930-E5380699-B43B-450F-A31F-04A4E2EE1D39

P50

Q34677930-4ABDD3E7-66E0-4446-83DD-9AF3A0A43BEC

Q34677930-62EBD8DA-622B-4D6F-89E3-007F1B05ACE0

Q34677930-6334A624-E66A-45E0-8644-1CB2EB715D68

Q34677930-7360EA85-6192-4DCE-B364-339FCBCFF36A

Q34677930-B9C74AF2-D255-422E-BE88-6BCAFC99AF92

Q34677930-C0F3B048-1309-45E5-B978-7C03F8DC0250

Q34677930-C40ED87C-7BBF-44EF-9985-4E14FD9D31DC

Q34677930-CC5683F9-DB01-4064-814D-24E6BCA65D92

Q34677930-F748E998-30A0-4BB7-B470-A4066CEF808F

P577

Q34677930-BAA4C34A-F655-4652-89BB-8E6D309AA2CB

P5875

Q34677930-9A36F7EC-FC5E-45C1-A02A-D80DA7CFBABA

P698

Q34677930-017A823B-0854-49AA-9B24-C5C73C787C39

P921

Q34677930-9454395E-1775-413C-BBBF-D13D1CA0C5B5

P932

Q34677930-0347A059-D08D-42A4-B994-74D7127C4F6F

P356

FGENE.2014.00370

P1433

Frontiers in Genetics

P1476

Imputation and quality control steps for combining multiple genome-wide datasets.

@en

P2093

Amber Burt

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

Bahram Namjou-Khales

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

David Crosslin

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

Elizabeth Pugh

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

Gretta D Armstrong

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

Kimberly Derr

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

Rongling Li

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

Shefali S Verma

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

Yuki Bradford

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

P2860

A flexible and accurate genotype imputation method for the next generation of genome-wide association studies

An integrated map of genetic variation from 1,092 human genomes

Genotype imputation with thousands of genomes

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals

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

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

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies

A new multipoint method for genome-wide association studies by imputation of genotypes

P304

370

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

P31

scholarly article

P356

10.3389/FGENE.2014.00370

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

P478

5

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

P50

Marylyn D. Ritchie

Shubhabrata Mukherjee

Mariza de Andrade

Helena Kuivaniemi

Leah C. Kottyan

Jonathan L Haines

P577

2014-12-11T00:00:00Z

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

P5875

267748450

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

P698

25566314

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

P921

quality control

P932

4263197

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