The mutational constraint spectrum quantified from variation in 141,456 humans
Konrad J. Karczewski
1, 2
,
Laurent Francioli
1, 2
,
Grace Tiao
1, 2
,
Beryl B. Cummings
1, 2, 3
,
Jessica Alföldi
1, 2
,
Qingbo Wang
1, 2, 4
,
Ryan Collins
1, 4, 5
,
Kristen M. Laricchia
1, 2
,
Andrea Ganna
1, 2, 6
,
Daniel P Birnbaum
1, 2
,
Laura D. Gauthier
7
,
Harrison Brand
1, 5
,
Matthew Solomonson
1, 2
,
Nicholas A. Watts
1, 2
,
Daniel Rhodes
8
,
Moriel Singer-Berk
1, 2
,
Eleina M England
1, 2
,
Eleanor G. Seaby
1, 2
,
Jack A. Kosmicki
1, 2, 4
,
Raymond Walters
1, 2, 9
,
Katherine Tashman
1, 2, 9
,
Yossi Farjoun
7
,
Eric BANKS
7
,
Timothy Poterba
1, 2, 9
,
Arcturus Wang
1, 2, 9
,
Cotton Seed
1, 2, 9
,
Nicola Whiffin
1, 2, 10, 11
,
Jessica X. Chong
12
,
Kaitlin E Samocha
13
,
Emma Pierce-Hoffman
1, 2
,
Zachary Zappala
1, 2, 14
,
Anne O’Donnell-Luria
1, 2, 15, 16
,
Eric Vallabh Minikel
1
,
Ben Weisburd
7
,
Monkol Lek
17
,
James Ware
1, 10, 11
,
Christopher Vittal
2, 9
,
Irina M. Armean
1, 2
,
Louis Bergelson
7
,
Kristian Cibulskis
7
,
Kristen M. Connolly
18
,
Miguel Covarrubias
7
,
Stacey Donnelly
1
,
Steven Ferriera
18
,
Stacey Gabriel
18
,
Jeff Gentry
7
,
Namrata Gupta
1, 18
,
Thibault Jeandet
7
,
Diane Kaplan
7
,
Christopher Llanwarne
7
,
Ruchi Munshi
7
,
Sam Novod
7
,
Nikelle Petrillo
7
,
David Roazen
7
,
Valentin Ruano-Rubio
7
,
Andrea Saltzman
1
,
Molly Schleicher
1
,
Jose Soto
7
,
Kathleen Tibbetts
7
,
Charlotte Tolonen
7
,
Wade Gordon
7
,
Michael E. Talkowski
1, 5, 19
,
Carlos A. Aguilar-Salinas
1, 2, 9
,
Tariq Ahmad
1, 2, 6, 9
,
Christine M. Albert
1, 2, 20, 21
11
Cardiovascular Research Centre, Royal Brompton & Harefield Hospitals NHS Trust, London, UK
|
14
Vertex Pharmaceuticals Inc, Boston, USA
|
20
Тип публикации: Journal Article
Дата публикации: 2020-05-27
scimago Q1
wos Q1
БС1
SJR: 18.288
CiteScore: 78.1
Impact factor: 48.5
ISSN: 00280836, 14764687
PubMed ID:
32461654
Multidisciplinary
Краткое описание
Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes1. Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases. A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.
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Karczewski K. J. et al. The mutational constraint spectrum quantified from variation in 141,456 humans // Nature. 2020. Vol. 581. No. 7809. pp. 434-443.
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Karczewski K. J. et al. The mutational constraint spectrum quantified from variation in 141,456 humans // Nature. 2020. Vol. 581. No. 7809. pp. 434-443.
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@article{2020_Karczewski,
author = {Konrad J. Karczewski and Laurent Francioli and Grace Tiao and Beryl B. Cummings and Jessica Alföldi and Qingbo Wang and Ryan Collins and Kristen M. Laricchia and Andrea Ganna and Daniel P Birnbaum and Laura D. Gauthier and Harrison Brand and Matthew Solomonson and Nicholas A. Watts and Daniel Rhodes and Moriel Singer-Berk and Eleina M England and Eleanor G. Seaby and Jack A. Kosmicki and Raymond Walters and Katherine Tashman and Yossi Farjoun and Eric BANKS and Timothy Poterba and Arcturus Wang and Cotton Seed and Nicola Whiffin and Jessica X. Chong and Kaitlin E Samocha and Emma Pierce-Hoffman and Zachary Zappala and Anne O’Donnell-Luria and Eric Vallabh Minikel and Ben Weisburd and Monkol Lek and James Ware and Christopher Vittal and Irina M. Armean and Louis Bergelson and Kristian Cibulskis and Kristen M. Connolly and Miguel Covarrubias and Stacey Donnelly and Steven Ferriera and Stacey Gabriel and Jeff Gentry and Namrata Gupta and Thibault Jeandet and Diane Kaplan and Christopher Llanwarne and others},
title = {The mutational constraint spectrum quantified from variation in 141,456 humans},
journal = {Nature},
year = {2020},
volume = {581},
publisher = {Springer Nature},
month = {may},
url = {https://www.nature.com/articles/s41586-020-2308-7},
number = {7809},
pages = {434--443},
doi = {10.1038/s41586-020-2308-7}
}
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Karczewski, Konrad J., et al. “The mutational constraint spectrum quantified from variation in 141,456 humans.” Nature, vol. 581, no. 7809, May. 2020, pp. 434-443. https://www.nature.com/articles/s41586-020-2308-7.