Abstract
Case-control genetic association studies in admixed populations are known to be susceptible to genetic confounding due to population stratification. The transmission/disequilibrium test (TDT) approach can avoid this problem. However, the TDT is expensive and impractical for late-onset diseases. Case-control study designs, in which, cases and controls are matched by admixture, can be an appealing and a suitable alternative for genetic association studies in admixed populations. In this study, we applied this matching strategy when recruiting our African American participants in the Study of African American, Asthma, Genes and Environments. Group admixture in this cohort consists of 83% African ancestry and 17% European ancestry, which was consistent with reports from other studies. By carrying out several complementary analyses, our results show that there is a substructure in the cohort, but that the admixture distributions are almost identical in cases and controls, and also in cases only. We performed association tests for asthma-related traits with ancestry, and only found that FEV1, a measure for baseline pulmonary function, was associated with ancestry after adjusting for socio-economic and environmental risk factors (P=0.01). We did not observe an excess of type I error rate in our association tests for ancestry informative markers and asthma-related phenotypes when ancestry was not adjusted in the analyses. Furthermore, using the association tests between genetic variants in a known asthma candidate gene, β2 adrenergic receptor (β2AR) and ΔFEF25–75, an asthma-related phenotype, as an example, we demonstrated population stratification was not a confounder in our genetic association. Our present work demonstrates that admixture-matched case-control strategies can efficiently control population stratification confounding in admixed populations.
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Acknowledgements
The support for this manuscript came from: National Institutes of Health K23 HL04464, HL07185, GM61390, NCMHD Health Disparities Scholar, Extramural Clinical Research Loan Repayment Program for Individuals from Disadvantaged Backgrounds, 2001–2003, American Lung Association of California and The National Center on Minority Health and Health Disparities to EGB, American Lung Association of California Research Training Fellowship to HJT, Sandler Center for Basic Research in Asthma and the Sandler Family Supporting Foundation. We would like to acknowledge the families and the patients for their participation. We would also like to thank the numerous health care providers for their support and participation in the SAGE study. We thank Dr. Mark D. Shriver for his assistance in development of the AIMs and for providing ancestral DNA. We thank Dr. Hua Tang for providing the R code implemented, a global test for estimating recent admixture. We would like to thank Dr. Neil Risch for his support and guidance. Finally, we would like to thank the Sandler Family Foundation, the main sponsor of this project.
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Hui-Ju Tsai and Jennifer Y. Kho have contributed equally to this manuscript
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Tsai, HJ., Kho, J.Y., Shaikh, N. et al. Admixture-matched case-control study: a practical approach for genetic association studies in admixed populations. Hum Genet 118, 626–639 (2006). https://doi.org/10.1007/s00439-005-0080-2
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DOI: https://doi.org/10.1007/s00439-005-0080-2