biostudies-literatureZhang JElucidating Loci Involved in Prostate Cancer SusceptibilityMechanism of Ethnic/Racial Differences in Lung Cancer due to Cigarette SmokingNHGRI NIH HHSNew Methods for Genomic Studies in African American WomenNCI NIH HHSAfrican American Prostate Cancer GWAS studyGenomics and EpidemiologyPopulation Architecture502-15https://www.ebi.ac.uk/biostudies/studies/S-EPMC5079159biostudies-literatureUnknown38(6)Association analysis using admixed populations imposes challenges and opportunities for disease mapping. By developing some explicit results for the variance of an allele of interest conditional on either local or global ancestry and by simulation of recently admixed genomes we evaluate power and false-positive rates under a variety of scenarios concerning linkage disequilibrium (LD) and the presence of unmeasured variants. Pairwise LD patterns were compared between admixed and nonadmixed populations using the HapMap phase 3 data. Based on the above, we showed that as follows: For causal variants with similar effect size in all populations, power is generally higher in a study using admixed population than using nonadmixed population, especially for highly differentiated SNPs. This gain ofGenetic epidemiologyThe role of local ancestry adjustment in association studies using admixed populations.PMC5079159P01CA138338U01 HG0048025R01CA165862-02P01 CA1383385U01HG004802-045U19CA148537-04U19 CA14853715UB-8402R01 CA165862U01 HG0073971U01HG007397-01Zhang JStram DOfalseThe role of local ancestry adjustment in association studies using admixed populations.Association analysis using admixed populations imposes challenges and opportunities for disease mapping. By developing some explicit results for the variance of an allele of interest conditional on either local or global ancestry and by simulation of recently admixed genomes we evaluate power and false-positive rates under a variety of scenarios concerning linkage disequilibrium (LD) and the presence of unmeasured variants. Pairwise LD patterns were compared between admixed and nonadmixed populations using the HapMap phase 3 data. Based on the above, we showed that as follows: For causal variants with similar effect size in all populations, power is generally higher in a study using admixed population than using nonadmixed population, especially for highly differentiated SNPs. This gain of2014-01-01T00:00:00Z2014 Sep2025-04-27T01:23:16.015Z2019-03-27T02:27:28ZS-EPMC50791592504396710.1002/gepi.21835