TY - JOUR T1 - Joint Ancestry and Association Testing in Admixed Individuals A1 - Shriner, Daniel A1 - Adeyemo, Adebowale A1 - Rotimi, Charles N. Y1 - 2011/12/22 N2 - Author Summary Most genome-wide association studies performed to date have focused on individuals with European ancestry. Admixed African Americans tend to have disproportionately higher risk for many common, complex diseases. Disease or trait mapping in admixed individuals can benefit from joint analysis of ancestry and genotype effects. We developed a joint test that is more powerful than either admixture mapping of ancestry effects or association mapping of genotype effects performed separately. Our joint test fully capitalizes on the reduced testing burden of admixture mapping relative to association mapping. The test is based on generalized linear models and can be performed using standard statistical software. We illustrate the increased power of the joint test by detecting two loci for fasting plasma glucose in a sample of unrelated African American individuals, neither of which loci was detected as significant by traditional association analysis. JF - PLOS Computational Biology JA - PLOS Computational Biology VL - 7 IS - 12 UR - https://doi.org/10.1371/journal.pcbi.1002325 SP - e1002325 EP - PB - Public Library of Science M3 - doi:10.1371/journal.pcbi.1002325 ER -