Literature DB >> 12914577

Qualitative semi-parametric test for genetic associations in case-control designs under structured populations.

H-S Chen1, X Zhu, H Zhao, S Zhang.   

Abstract

Recently, statistical methods have been proposed using genomic markers to control for population stratification in genetic association studies. However, these methods either have unacceptable low power when population stratification becomes strong or cannot control for population stratification well under admixture population models. In this paper, we propose a semiparametric association test to detect genetic association between a candidate marker and a qualitative trait of interest in case-control designs. The performance of the test is compared to other existing methods through simulations. The results show that our method gives correct type I error rate both under discrete population models and admixture population models, and our method is robust to the extent of the population stratification. In most of the cases we considered, our method has higher power and, in some cases, substantially higher power than that of existing methods.

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Substances:

Year:  2003        PMID: 12914577     DOI: 10.1046/j.1469-1809.2003.00036.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  41 in total

1.  Controlling Population Structure in Human Genetic Association Studies with Samples of Unrelated Individuals.

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2.  Improving power in contrasting linkage-disequilibrium patterns between cases and controls.

Authors:  Tao Wang; Xiaofeng Zhu; Robert C Elston
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3.  A unified association analysis approach for family and unrelated samples correcting for stratification.

Authors:  Xiaofeng Zhu; Shengchao Li; Richard S Cooper; Robert C Elston
Journal:  Am J Hum Genet       Date:  2008-02       Impact factor: 11.025

Review 4.  Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.

Authors:  Hemant K Tiwari; Jill Barnholtz-Sloan; Nathan Wineinger; Miguel A Padilla; Laura K Vaughan; David B Allison
Journal:  Hum Hered       Date:  2008-03-31       Impact factor: 0.444

5.  Simultaneously correcting for population stratification and for genotyping error in case-control association studies.

Authors:  K F Cheng; W J Lin
Journal:  Am J Hum Genet       Date:  2007-08-22       Impact factor: 11.025

6.  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

7.  Univariate/multivariate genome-wide association scans using data from families and unrelated samples.

Authors:  Lei Zhang; Yu-Fang Pei; Jian Li; Christopher J Papasian; Hong-Wen Deng
Journal:  PLoS One       Date:  2009-08-04       Impact factor: 3.240

8.  Effect of population stratification on the identification of significant single-nucleotide polymorphisms in genome-wide association studies.

Authors:  Sara M Sarasua; Julianne S Collins; Dhelia M Williamson; Glen A Satten; Andrew S Allen
Journal:  BMC Proc       Date:  2009-12-15

9.  Comparison of a unified analysis approach for family and unrelated samples with the transmission-disequilibrium test to study associations of hypertension in the Framingham Heart Study.

Authors:  Xiangqing Sun; Tao Feng; Yeunjoo Song; Robert C Elston; Xiaofeng Zhu
Journal:  BMC Proc       Date:  2009-12-15

10.  A method to correct for population structure using a segregation model.

Authors:  Qingfu Feng; Joseph Abraham; Tao Feng; Yeunjoo Song; Robert C Elston; Xiaofeng Zhu
Journal:  BMC Proc       Date:  2009-12-15
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