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Population stratification confounds genetic association studies among Latinos
Authors:Shweta Choudhry  Natasha E Coyle  Hua Tang  Keyan Salari  Denise Lind  Suzanne L Clark  Hui-Ju Tsai  Mariam Naqvi  Angie Phong  Ngim Ung  Henry Matallana  Pedro C Avila  Jesus Casal  Alfonso Torres  Sylvette Nazario  Richard Castro  Natalie C Battle  Eliseo J Perez-Stable  Pui-Yan Kwok  Dean Sheppard  Mark D Shriver  William Rodriguez-Cintron  Neil Risch  Elad Ziv  Esteban Gonzàlez Burchard
Institution:(1) University of California, San Francisco, CA 94143-0833, USA;(2) Lung Biology Center, San Francisco General Hospital, San Francisco, CA, USA;(3) Fred Hutchinson Cancer Research Cancer Center, Seattle, WA, USA;(4) San Juan VAMC, University of Puerto Rico School of Medicine, San Juan, PR, USA;(5) Department of Anthropology, The Pennsylvania State University, University Park, PA, USA;(6) Center for Human Genetics, University of California, San Francisco, CA, USA;(7) Division of Research, Kaiser Permanente, Oakland, CA, USA
Abstract:In the United States, asthma prevalence and mortality are the highest among Puerto Ricans and the lowest among Mexicans. Case-control association studies are a powerful strategy for identifying genes of modest effect in complex diseases. However, studies of complex disorders in admixed populations such as Latinos may be confounded by population stratification. We used ancestry informative markers (AIMs) to identify and correct for population stratification among Mexican and Puerto Rican subjects participating in case-control studies of asthma. Three hundred and sixty-two subjects with asthma (Mexican: 181, Puerto Rican: 181) and 359 ethnically matched controls (Mexican: 181, Puerto Rican: 178) were genotyped for 44 AIMs. We observed a greater than expected degree of association between pairs of AIMs on different chromosomes in Mexicans (P < 0.00001) and Puerto Ricans (P < 0.00002) providing evidence for population substructure and/or recent admixture. To assess the effect of population stratification on association studies of asthma, we measured differences in genetic background of cases and controls by comparing allele frequencies of the 44 AIMs. Among Puerto Ricans but not in Mexicans, we observed a significant overall difference in allele frequencies between cases and controls (P = 0.0002); of 44 AIMs tested, 8 (18%) were significantly associated with asthma. However, after adjustment for individual ancestry, only two of these markers remained significantly associated with the disease. Our findings suggest that empirical assessment of the effects of stratification is critical to appropriately interpret the results of case-control studies in admixed populations.
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