Literature DB >> 17924333

A randomization test for controlling population stratification in whole-genome association studies.

Gad Kimmel1, Michael I Jordan, Eran Halperin, Ron Shamir, Richard M Karp.   

Abstract

Population stratification can be a serious obstacle in the analysis of genomewide association studies. We propose a method for evaluating the significance of association scores in whole-genome cohorts with stratification. Our approach is a randomization test akin to a standard permutation test. It conditions on the genotype matrix and thus takes into account not only the population structure but also the complex linkage disequilibrium structure of the genome. As we show in simulation experiments, our method achieves higher power and significantly better control over false-positive rates than do existing methods. In addition, it can be easily applied to whole-genome association studies.

Mesh:

Year:  2007        PMID: 17924333      PMCID: PMC2265648          DOI: 10.1086/521372

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  22 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

Review 3.  Genetic associations in large versus small studies: an empirical assessment.

Authors:  John P A Ioannidis; Thomas A Trikalinos; Evangelia E Ntzani; Despina G Contopoulos-Ioannidis
Journal:  Lancet       Date:  2003-02-15       Impact factor: 79.321

4.  Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data.

Authors:  Na Li; Matthew Stephens
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

5.  Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease.

Authors:  Kirk E Lohmueller; Celeste L Pearce; Malcolm Pike; Eric S Lander; Joel N Hirschhorn
Journal:  Nat Genet       Date:  2003-01-13       Impact factor: 38.330

6.  Estimation of levels of gene flow from DNA sequence data.

Authors:  R R Hudson; M Slatkin; W P Maddison
Journal:  Genetics       Date:  1992-10       Impact factor: 4.562

7.  Assessing the impact of population stratification on genetic association studies.

Authors:  Matthew L Freedman; David Reich; Kathryn L Penney; Gavin J McDonald; Andre A Mignault; Nick Patterson; Stacey B Gabriel; Eric J Topol; Jordan W Smoller; Carlos N Pato; Michele T Pato; Tracey L Petryshen; Laurence N Kolonel; Eric S Lander; Pamela Sklar; Brian Henderson; Joel N Hirschhorn; David Altshuler
Journal:  Nat Genet       Date:  2004-03-28       Impact factor: 38.330

8.  Genomic Control to the extreme.

Authors:  B Devlin; Silviu-Alin Bacanu; Kathryn Roeder
Journal:  Nat Genet       Date:  2004-11       Impact factor: 38.330

Review 9.  Genetic dissection of complex traits.

Authors:  E S Lander; N J Schork
Journal:  Science       Date:  1994-09-30       Impact factor: 47.728

10.  Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.

Authors:  Huixiao Hong; Zhenqiang Su; Weigong Ge; Leming Shi; Roger Perkins; Hong Fang; Joshua Xu; James J Chen; Tao Han; Jim Kaput; James C Fuscoe; Weida Tong
Journal:  BMC Bioinformatics       Date:  2008-08-12       Impact factor: 3.169

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  27 in total

Review 1.  Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses.

Authors:  M J Sillanpää
Journal:  Heredity (Edinb)       Date:  2010-07-14       Impact factor: 3.821

2.  Association mapping and significance estimation via the coalescent.

Authors:  Gad Kimmel; Richard M Karp; Michael I Jordan; Eran Halperin
Journal:  Am J Hum Genet       Date:  2008-11-20       Impact factor: 11.025

3.  Nonmetric multidimensional scaling corrects for population structure in association mapping with different sample types.

Authors:  Chengsong Zhu; Jianming Yu
Journal:  Genetics       Date:  2009-05-04       Impact factor: 4.562

4.  A comparison of association methods correcting for population stratification in case-control studies.

Authors:  Chengqing Wu; Andrew DeWan; Josephine Hoh; Zuoheng Wang
Journal:  Ann Hum Genet       Date:  2011-01-31       Impact factor: 1.670

5.  ROADTRIPS: case-control association testing with partially or completely unknown population and pedigree structure.

Authors:  Timothy Thornton; Mary Sara McPeek
Journal:  Am J Hum Genet       Date:  2010-02-04       Impact factor: 11.025

6.  Including additional controls from public databases improves the power of a genome-wide association study.

Authors:  Semanti Mukherjee; Jennifer Simon; Sharon Bayuga; Emmy Ludwig; Sarah Yoo; Irene Orlow; Agnes Viale; Kenneth Offit; Robert C Kurtz; Sara H Olson; Robert J Klein
Journal:  Hum Hered       Date:  2011-08-17       Impact factor: 0.444

7.  Genotype-based matching to correct for population stratification in large-scale case-control genetic association studies.

Authors:  Weihua Guan; Liming Liang; Michael Boehnke; Gonçalo R Abecasis
Journal:  Genet Epidemiol       Date:  2009-09       Impact factor: 2.135

8.  Multi-population GWA mapping via multi-task regularized regression.

Authors:  Kriti Puniyani; Seyoung Kim; Eric P Xing
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

9.  A three-stage approach for genome-wide association studies with family data for quantitative traits.

Authors:  Ming-Huei Chen; Martin G Larson; Yi-Hsiang Hsu; Gina M Peloso; Chao-Yu Guo; Caroline S Fox; Larry D Atwood; Qiong Yang
Journal:  BMC Genet       Date:  2010-05-14       Impact factor: 2.797

10.  Principal-component-based population structure adjustment in the North American Rheumatoid Arthritis Consortium data: impact of single-nucleotide polymorphism set and analysis method.

Authors:  Gina M Peloso; Nadia Timofeev; Kathryn L Lunetta
Journal:  BMC Proc       Date:  2009-12-15
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