Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.
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ABSTRACT:
SUBMITTER: Pavlides JM
PROVIDER: S-EPMC4979185 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature
Publications
Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.
Pavlides Jennifer M Whitehead JM Zhu Zhihong Z Gratten Jacob J McRae Allan F AF Wray Naomi R NR Yang Jian J
Genome medicine 20160809 1
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with complex traits and diseases. However, elucidating the causal genes underlying GWAS hits remains challenging. We applied the summary data-based Mendelian randomization (SMR) method to 28 GWAS summary datasets to identify genes whose expression levels were associated with traits and diseases due to pleiotropy or causality (the expression level of a gene and the trait are affected by the same causal ...[more]
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