Using gene expression to improve the power of genome-wide association analysis.
about
Genetics of human metabolism: an updatePowerful association test combining rare variant and gene expression using family data from Genetic Analysis Workshop 19.Comprehensive evaluation of disease- and trait-specific enrichment for eight functional elements among GWAS-identified variants.A Powerful Framework for Integrating eQTL and GWAS Summary Data.
P2860
Using gene expression to improve the power of genome-wide association analysis.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին 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
Using gene expression to improve the power of genome-wide association analysis.
@ast
Using gene expression to improve the power of genome-wide association analysis.
@en
Using gene expression to improve the power of genome-wide association analysis.
@nl
type
label
Using gene expression to improve the power of genome-wide association analysis.
@ast
Using gene expression to improve the power of genome-wide association analysis.
@en
Using gene expression to improve the power of genome-wide association analysis.
@nl
prefLabel
Using gene expression to improve the power of genome-wide association analysis.
@ast
Using gene expression to improve the power of genome-wide association analysis.
@en
Using gene expression to improve the power of genome-wide association analysis.
@nl
P2093
P2860
P356
P1433
P1476
Using gene expression to improve the power of genome-wide association analysis.
@en
P2093
Emily C Baechler
Robert R Graham
Timothy W Behrens
Tushar R Bhangale
Ward Ortmann
P2860
P304
P356
10.1159/000362837
P577
2014-07-30T00:00:00Z