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Dataset Information

Whole-genome sequencing to understand the genetic architecture of common gene expression and biomarker phenotypes.


ABSTRACT: Initial results from sequencing studies suggest that there are relatively few low-frequency (<5%) variants associated with large effects on common phenotypes. We performed low-pass whole-genome sequencing in 680 individuals from the InCHIANTI study to test two primary hypotheses: (i) that sequencing would detect single low-frequency-large effect variants that explained similar amounts of phenotypic variance as single common variants, and (ii) that some common variant associations could be explained by low-frequency variants. We tested two sets of disease-related common phenotypes for which we had statistical power to detect large numbers of common variant-common phenotype associations-11 132 cis-gene expression traits in 450 individuals and 93 circulating biomarkers in all 680 individuals.

SUBMITTER: Wood AR 

PROVIDER: S-EPMC4321449 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature