Fig. 3From: Application of geographic population structure (GPS) algorithm for biogeographical analyses of populations with complex ancestries: a case study of South Asians from 1000 genomes project Comparison of major admixture components among five SAS populations from 1000 Genomes Project. Multiple comparisons were performed using Tukey’s post hoc analysis implemented in GraphPad Prism v7. a Comparison of North Indian component (k2). GIH had the highest North Indian ancestral component compared to the other four SAS populations (Tukey’s post hoc analysis, p-value < 0.0001). b Comparison of South Indian component (k4). STU had the highest fraction of South Indian component in their genome compared to the rest (Tukey’s post hoc analysis, p-value < 0.0001). c Comparison of West Eurasian component (k1). PJL possessed the highest fraction of West Eurasian component in their genome compared to the other four SAS populations (Tukey’s post hoc analysis, p-value < 0.0001). d Comparison of East Asian component (k3). BEB had the highest fraction of East Asian component in their genome compared to the rest (Tukey’s post hoc analysis, p-value < 0.0001)Back to article page