6 files

Supplemental Material for Jin et al., 2019

Download all (114 kB)
posted on 31.05.2019, 15:27 authored by Yumi Jin, Alejandro Schaffer, Michael Feolo, J. Bradley Holmes, Brandi Kattman
Figure S1 shows distribution of GRAF-pop scores of subjects with different study-reported, continental populations across all dbGaP studies. Figure S2 shows distribution of GRAF-pop scores of subjects included in 1000 Genomes Project. Table S1 summarizes study-reported populations and the GRAF-calculated populations of dbGaP subjects. Table S2 describes dbGaP studies selected to evaluate GRAF-pop and other ancestry-inference software packages.


Article title

GRAF-pop: A Fast Distance-based Method to Infer Subject Ancestry from Multiple Genotype Datasets without Principal Components Analysis

Manuscript #


Article DOI