Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.

Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.

The analysis of less common variants in genome-wide association studies promises to elucidate complex trait genetics but is hampered by low power to reliably detect association. We show that addition of population-specific exome sequence data to global reference data allows more accurate imputation,...

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Main Authors: Peter K Joshi, James Prendergast, Ross M Fraser, Jennifer E Huffman, Veronique Vitart, Caroline Hayward, Ruth McQuillan, Dominik Glodzik, Ozren Polašek, Nicholas D Hastie, Igor Rudan, Harry Campbell, Alan F Wright, Chris S Haley, James F Wilson, Pau Navarro
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0068604&type=printable
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Summary:The analysis of less common variants in genome-wide association studies promises to elucidate complex trait genetics but is hampered by low power to reliably detect association. We show that addition of population-specific exome sequence data to global reference data allows more accurate imputation, particularly of less common SNPs (minor allele frequency 1-10%) in two very different European populations. The imputation improvement corresponds to an increase in effective sample size of 28-38%, for SNPs with a minor allele frequency in the range 1-3%.
ISSN:1932-6203

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