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A harmonized public resource of deeply sequenced diverse human genomes.

Authors :
Koenig Z
Yohannes MT
Nkambule LL
Zhao X
Goodrich JK
Kim HA
Wilson MW
Tiao G
Hao SP
Sahakian N
Chao KR
Walker MA
Lyu Y
Rehm HL
Neale BM
Talkowski ME
Daly MJ
Brand H
Karczewski KJ
Atkinson EG
Martin AR
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2024 Feb 28. Date of Electronic Publication: 2024 Feb 28.
Publication Year :
2024

Abstract

Underrepresented populations are often excluded from genomic studies due in part to a lack of resources supporting their analyses. The 1000 Genomes Project (1kGP) and Human Genome Diversity Project (HGDP), which have recently been sequenced to high coverage, are valuable genomic resources because of the global diversity they capture and their open data sharing policies. Here, we harmonized a high quality set of 4,094 whole genomes from HGDP and 1kGP with data from the Genome Aggregation Database (gnomAD) and identified over 153 million high-quality SNVs, indels, and SVs. We performed a detailed ancestry analysis of this cohort, characterizing population structure and patterns of admixture across populations, analyzing site frequency spectra, and measuring variant counts at global and subcontinental levels. We also demonstrate substantial added value from this dataset compared to the prior versions of the component resources, typically combined via liftover and variant intersection; for example, we catalog millions of new genetic variants, mostly rare, compared to previous releases. In addition to unrestricted individual-level public release, we provide detailed tutorials for conducting many of the most common quality control steps and analyses with these data in a scalable cloud-computing environment and publicly release this new phased joint callset for use as a haplotype resource in phasing and imputation pipelines. This jointly called reference panel will serve as a key resource to support research of diverse ancestry populations.

Details

Language :
English
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Accession number :
36747613
Full Text :
https://doi.org/10.1101/2023.01.23.525248