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Flowchart of the study design of Admixture Mapping. Data requirements for admixture mapping include genotype and phenotype data for samples from the admixed population and genotype data from ancestral populations. First, the individual and local ancestry of admixed population are inferred using ADMIXTURE, PCAdmix and RFMix (only for the chromosomes we found hits using PCAdmix) softwares. Then, an association of local ancestry with the phenotype is tested using a multiple regression including the individual ancestry and other descriptive information as covariates. Threshold P-value using Bonferroni correction is used to filter the associated peaks of ancestry. In our approach, we compared the significant admixture mapping peaks of each chromosome obtained using PCAdmix with the significant admixture mapping peaks obtained using RFMix inferences for the same chromosomes, and, considered a consensus significant peak the ones mapped for the same chromosomic region using both inferences. Only these consensus significant admixture mapping peaks were taken for further analyses of imputation, fine mapping and SNP annotation, generating a list of SNPs or genes associated with the phenotype.