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A deep catalogue of protein-coding variation in 983,578 individuals.

Authors :
Sun KY
Bai X
Chen S
Bao S
Zhang C
Kapoor M
Backman J
Joseph T
Maxwell E
Mitra G
Gorovits A
Mansfield A
Boutkov B
Gokhale S
Habegger L
Marcketta A
Locke AE
Ganel L
Hawes A
Kessler MD
Sharma D
Staples J
Bovijn J
Gelfman S
Di Gioia A
Rajagopal VM
Lopez A
Varela JR
Alegre-Díaz J
Berumen J
Tapia-Conyer R
Kuri-Morales P
Torres J
Emberson J
Collins R
Cantor M
Thornton T
Kang HM
Overton JD
Shuldiner AR
Cremona ML
Nafde M
Baras A
Abecasis G
Marchini J
Reid JG
Salerno W
Balasubramanian S
Source :
Nature [Nature] 2024 Jul; Vol. 631 (8021), pp. 583-592. Date of Electronic Publication: 2024 May 20.
Publication Year :
2024

Abstract

Rare coding variants that substantially affect function provide insights into the biology of a gene <superscript>1-3</superscript> . However, ascertaining the frequency of such variants requires large sample sizes <superscript>4-8</superscript> . Here we present a catalogue of human protein-coding variation, derived from exome sequencing of 983,578 individuals across diverse populations. In total, 23% of the Regeneron Genetics Center Million Exome (RGC-ME) data come from individuals of African, East Asian, Indigenous American, Middle Eastern and South Asian ancestry. The catalogue includes more than 10.4 million missense and 1.1 million predicted loss-of-function (pLOF) variants. We identify individuals with rare biallelic pLOF variants in 4,848 genes, 1,751 of which have not been previously reported. From precise quantitative estimates of selection against heterozygous loss of function (LOF), we identify 3,988 LOF-intolerant genes, including 86 that were previously assessed as tolerant and 1,153 that lack established disease annotation. We also define regions of missense depletion at high resolution. Notably, 1,482 genes have regions that are depleted of missense variants despite being tolerant of pLOF variants. Finally, we estimate that 3% of individuals have a clinically actionable genetic variant, and that 11,773 variants reported in ClinVar with unknown significance are likely to be deleterious cryptic splice sites. To facilitate variant interpretation and genetics-informed precision medicine, we make this resource of coding variation from the RGC-ME dataset publicly accessible through a variant allele frequency browser.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1476-4687
Volume :
631
Issue :
8021
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
38768635
Full Text :
https://doi.org/10.1038/s41586-024-07556-0