Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.
about
Genome-wide gene-environment interactions on quantitative traits using family data.Longitudinal data analysis for rare variants detection with penalized quadratic inference functionLarge-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group.The Rotterdam Study: 2016 objectives and design update.Increasing the power of genome wide association studies in natural populations using repeated measures - evaluation and implementationAn Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.Identifying genetic loci affecting antidepressant drug response in depression using drug-gene interaction models.Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology.Genome-wide Association Study of Susceptibility to Particulate Matter-Associated QT Prolongation.Unravelling the human genome-phenome relationship using phenome-wide association studies.A score test for genetic class-level association with nonlinear biomarker trajectories.A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.Parental and offspring contribution of genetic markers of adult blood pressure in early life: The FAMILY studyLongitudinal exome-wide association study to identify genetic susceptibility loci for hypertension in a Japanese population.Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population.Identification of CDC42BPG as a novel susceptibility locus for hyperuricemia in a Japanese population.Genomic dissection and prediction of feed intake and residual feed intake traits using a longitudinal model in F2 chickens.Fast and Accurate Genome-Wide Association Test of Multiple Quantitative Traits.Six novel susceptibility loci for coronary artery disease and cerebral infarction identified by longitudinal exome-wide association studies in a Japanese population.
P2860
Q30488613-AE8A6622-1C9F-4827-98CF-BB594D855023Q33677747-E2798247-A255-49B2-A64A-C99E89C47DB6Q33790423-50D5A8A5-1D89-4866-B399-A0868647C820Q36084114-ECDF34CC-2F5F-4A44-BB9A-BA273CC94269Q36091452-9486C5D9-E7E4-4051-915A-0856CF2C989BQ37014024-B8222213-D821-4EDB-9E95-BF0F38704265Q37200660-EDF2E74C-C9E7-4D95-9C9D-133AAABB6A1BQ38655838-8B04E77B-66AD-4DC4-83D5-1CFC21D2B2DDQ38657925-60C10F82-DC0C-40F7-B7E1-D15DCC778F8EQ38732876-486D346A-85B2-4165-AE64-D1241C21BFF4Q38764441-28BB13EB-7452-4C13-81E9-5FB214A56656Q38776088-F5DA1787-5C8D-4745-9A83-A4FA9BBB6645Q42680370-71E30F82-7514-41A2-8E53-2ED2C943344AQ47101961-BD7BB12D-8279-48AE-91DB-CC4ADB0FB2E8Q47562011-A4DE72F8-7C3F-4B8C-B69D-215BBD6C18A9Q47613195-1E91868B-CF0E-448E-86F6-525E54458505Q50135056-E4BBEFA2-9C59-4CED-B53D-A05D385F865BQ55073682-FAC2D2C5-7178-42A9-9D6F-663D9D8F6696Q55425834-8179FE13-AD71-4A66-8EF1-0C84ED9A0979
P2860
Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին 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
Generalized estimating equatio ...... g longitudinal phenotype data.
@ast
Generalized estimating equatio ...... g longitudinal phenotype data.
@en
type
label
Generalized estimating equatio ...... g longitudinal phenotype data.
@ast
Generalized estimating equatio ...... g longitudinal phenotype data.
@en
prefLabel
Generalized estimating equatio ...... g longitudinal phenotype data.
@ast
Generalized estimating equatio ...... g longitudinal phenotype data.
@en
P2093
P2860
P356
P1476
Generalized estimating equatio ...... ng longitudinal phenotype data
@en
P2093
Barbara McKnight
Bruno H C Stricker
Christy L Avery
Colleen M Sitlani
Eric A Whitsel
Kenneth M Rice
Raymond Noordam
Thomas Lumley
P2860
P304
P356
10.1002/SIM.6323
P407
P577
2014-10-09T00:00:00Z