medRxivGenetic & Genomic MedicinePreprint
Genome sequencing of 35,024 predominantly African ancestry persons addresses gaps in genomics and healthcare
Cecile AveryiD, Mojgan BabanejadiD, James T. Baker, Xavier BledsoeiD, Freida BlosteiniD, Robert W. CortyiD, K Ellis, Adriana M. HungiD, Allison M. LakeiD, John P. ShelleyiD, Quanhu ShengiD, Melinda C. AldrichiD, Melissa BasfordiD, Lisa A. BastaracheiD, Jennifer Elizabeth BelowiD, Alexander G. BickiD, Peter J. EmbíiD, QiPing FengiD, Eric R. GamazoniD, Lide HaniD, Jibril B HirboiD, Kayla MargineaniD, Jonathan D. MosleyiD, Jill M. PulleyiD, Dan M. RodeniD, , Consuelo Hopkins WilkinsiD
Abstract
Genetic variation is crucial in human development, disease susceptibility, and drug response. Despite populations of African descent having the highest degree of genetic variation, genetic research has predominantly focused on populations of European descent, limiting potential for discovery. Recent studies of individuals with African ancestry have driven key medical advances benefiting all populations. Large scale, electronic health record (EHR) linked biobanks have provided opportunities to expand genetic research to larger and more diverse populations. We present initial results from the Alliance for Genomic Discovery (n = 35,024), in which 80% of participants have majority African ancestry, with genome sequencing and extensive phenotyping (median [~]10 years of EHR data). We demonstrate that genetic variants known to disproportionately cause disease in patients of African descent are under-documented in the medical record, including treatable genetic conditions such as transthyretin amyloidosis. Our findings confirm that many disease-associated genetic variants have consistent effects between groups with majority African and European ancestry, including common variation, structural variation, and clonal hematopoiesis of indeterminate potential. We discover novel variants associated with drug adverse events and diagnostic codes, powered by the increased frequency of these variants in individuals with majority African ancestry. Furthermore, we report independent effects of genetic risk and social factors on glycemic control in individuals with type 2 diabetes. Overall, this work highlights the value of integrating genome sequencing and deep phenotyping in genetically diverse populations to broaden our understanding of human health and disease.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 7
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Advancing Precision Health Discovery in a Genetically Diverse Health System
Roni Haas, Michael P. Margolis, … Daniel H. Geschwind·CellPeer-reviewed·Mar 27, 2026
- Whole-genome sequencing of half-a-million UK Biobank participants
Shuwei Li, Keren Carss, … Adrián Cortés·medRxiv·Dec 6, 2023
- Whole-genome sequencing across 449 samples spanning 47 ethnolinguistic groups provides insights into genetic diversity in Nigeria
Esha Joshi, Arjun Biddanda, … Estelle Dogbo·Cell GenomicsPeer-reviewed·Aug 8, 2023
- Leveraging genomic diversity for discovery in an EHR-linked biobank: the UCLA ATLAS Community Health Initiative
Ruth Johnson, Yi Ding, … Bogdan Paşaniuc·Genome MedicinePeer-reviewed·Sep 9, 2022
- Analyses of Biomarker Traits in Diverse UK Biobank Participants Identify Associations Missed by European-centric Analysis Strategies
Quan Sun, Mariaelisa Graff, … Laura M. Raffield·Journal of Human GeneticsPeer-reviewed·Aug 10, 2021
- The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities
Eric Venner, Karynne Patterson, … May Okihiro·Communications BiologyPeer-reviewed·Feb 19, 2024