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Fig. 1 | Genome Biology

Fig. 1

From: Unequal representation of genetic variation across ancestry groups creates healthcare inequality in the application of precision medicine

Fig. 1

a Percentage representation of the 5965 IGM reference cohort across six geographic ancestry groupings. b A semi-transparent overlaid histogram representing the tally of candidate variants between IGM’s 5094 European (Eu) individuals (blue) and the collection of non-European individuals (red) (Mann–Whitney U test p < 1 × 10−320). The non-European distribution reflects individuals with a: Latino ethnicity (La), East Asian (EaAs), South Asian (SoAs), primarily African (Af), and unassigned (Un) ancestry. Estimates indicate the mean number of singleton non-synonymous variants among OMIM disease-associated genes. Singleton variants are identified based on a reference cohort of 5965 IGM sequenced samples. c Percentage representation of the combined 66,217 IGM and ExAC reference cohorts across six geographic ancestry / ethnic groupings. d Similar to b but singleton variants were identified based on the absence among the combined IGM and ExAC reference cohorts accumulating to 66,217 samples

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