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:http://europepmc.org/articles/PMC3712964?pdf=render
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spelling doaj-907409466cd94df49150bc46dd9dcc972020-11-25T00:08:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6860410.1371/journal.pone.0068604Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.Peter K JoshiJames PrendergastRoss M FraserJennifer E HuffmanVeronique VitartCaroline HaywardRuth McQuillanDominik GlodzikOzren PolašekNicholas D HastieIgor RudanHarry CampbellAlan F WrightChris S HaleyJames F WilsonPau NavarroThe 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%.http://europepmc.org/articles/PMC3712964?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
PLoS ONE
author_facet 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
author_sort Peter K Joshi
title Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
title_short Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
title_full Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
title_fullStr Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
title_full_unstemmed Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
title_sort local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description 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%.
url http://europepmc.org/articles/PMC3712964?pdf=render
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