Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2010-6-14
pubmed:abstractText
Deep sequencing will soon generate comprehensive sequence information in large disease samples. Although the power to detect association with an individual rare variant is limited, pooling variants by gene or pathway into a composite test provides an alternative strategy for identifying susceptibility genes. We describe a statistical method for detecting association of multiple rare variants in protein-coding genes with a quantitative or dichotomous trait. The approach is based on the regression of phenotypic values on individuals' genotype scores subject to a variable allele-frequency threshold, incorporating computational predictions of the functional effects of missense variants. Statistical significance is assessed by permutation testing with variable thresholds. We used a rigorous population-genetics simulation framework to evaluate the power of the method, and we applied the method to empirical sequencing data from three disease studies.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-11404818, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-12202775, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-15297675, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-16554528, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-17322881, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-17357078, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-17357083, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-18391953, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-18691683, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-18988837, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19075393, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19202052, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19214210, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19264985, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19293820, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19349981, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19684571, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-19812666, http://linkedlifedata.com/resource/pubmed/commentcorrection/20471002-20354512
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1537-6605
pubmed:author
pubmed:copyrightInfo
Copyright 2010 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
pubmed:issnType
Electronic
pubmed:day
11
pubmed:volume
86
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
832-8
pubmed:dateRevised
2011-7-25
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Pooled association tests for rare variants in exon-resequencing studies.
pubmed:affiliation
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural