Quantifying the mapping precision of genome-wide association studies using whole-genome sequencing data.
Abstract
Understanding the mapping precision of genome-wide association studies (GWAS), that is the physical distances between the top associated single-nucleotide polymorphisms (SNPs) and the causal variants, is essential to design fine-mapping experiments for complex traits and diseases. Using simulations based on whole-genome sequencing (WGS) data from 3642 unrelated individuals of European descent, we show that the association signals at rare causal...
Paper Details
Title
Quantifying the mapping precision of genome-wide association studies using whole-genome sequencing data.
Published Date
May 16, 2017
Journal
Volume
18
Issue
1
Pages
86 - 86
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