Genomic inflation factors under polygenic inheritance

被引:367
作者
Yang, Jian [1 ]
Weedon, Michael N. [2 ]
Purcell, Shaun [3 ,4 ]
Lettre, Guillaume [5 ]
Estrada, Karol [6 ]
Willer, Cristen J. [7 ]
Smith, Albert V. [8 ]
Ingelsson, Erik [9 ]
O'Connell, Jeffrey R. [10 ]
Mangino, Massimo [11 ]
Maegi, Reedik [12 ]
Madden, Pamela A. [13 ]
Heath, Andrew C. [13 ]
Nyholt, Dale R.
Martin, Nicholas G.
Montgomery, Grant W.
Frayling, Timothy M. [2 ]
Hirschhorn, Joel N. [3 ,14 ,15 ,16 ,17 ]
McCarthy, Mark I. [12 ,18 ]
Goddard, Michael E. [19 ]
Visscher, Peter M.
机构
[1] Queensland Inst Med Res, Queensland Stat Genet Lab, Brisbane, Qld 4006, Australia
[2] Univ Exeter, Peninsula Coll Med & Dent, Exeter, Devon, England
[3] Broad Inst, Cambridge, MA USA
[4] Massachusetts Gen Hosp, Ctr Human Genet Res, Boston, MA 02114 USA
[5] Univ Montreal, Montreal Heart Inst, Res Ctr, Montreal, PQ, Canada
[6] Dept Internal Med, Rotterdam, Netherlands
[7] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
[8] Heart Prevent Clin & Res Inst, Iceland Heart Assoc, Kopavogur, Iceland
[9] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[10] Univ Maryland, Sch Med, Dept Med, Baltimore, MD 21201 USA
[11] Kings Coll London, St Thomas Hosp, Twin Res & Genet Epidemiol Dept, London WC2R 2LS, England
[12] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England
[13] Washington Univ, Dept Psychiat, St Louis, MO USA
[14] Childrens Hosp, Program Genom, Boston, MA 02115 USA
[15] Childrens Hosp, Div Genet, Boston, MA 02115 USA
[16] Childrens Hosp, Div Endocrinol, Boston, MA 02115 USA
[17] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA
[18] Oxford Ctr Diabet Endocrinol & Metab, Oxford, England
[19] Univ Melbourne, Dept Food & Agr Syst, Parkville, Vic 3052, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
genome-wide association study; genomic inflation factor; polygenic inheritance; POPULATION STRATIFICATION; ASSOCIATION; LOCI; HERITABILITY;
D O I
10.1038/ejhg.2011.39
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Population structure, including population stratification and cryptic relatedness, can cause spurious associations in genome-wide association studies (GWAS). Usually, the scaled median or mean test statistic for association calculated from multiple single-nucleotide-polymorphisms across the genome is used to assess such effects, and 'genomic control' can be applied subsequently to adjust test statistics at individual loci by a genomic inflation factor. Published GWAS have clearly shown that there are many loci underlying genetic variation for a wide range of complex diseases and traits, implying that a substantial proportion of the genome should show inflation of the test statistic. Here, we show by theory, simulation and analysis of data that in the absence of population structure and other technical artefacts, but in the presence of polygenic inheritance, substantial genomic inflation is expected. Its magnitude depends on sample size, heritability, linkage disequilibrium structure and the number of causal variants. Our predictions are consistent with empirical observations on height in independent samples of similar to 4000 and similar to 133 000 individuals. European Journal of Human Genetics (2011) 19, 807-812; doi:10.1038/ejhg.2011.39; published online 16 March 2011
引用
收藏
页码:807 / 812
页数:6
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