| Autor: |
Anne H. O’Donnell-Luria, Monkol Lek, James S. Ware, Kristen M. Laricchia, Benjamin M. Neale, Stacey Donnelly, Irina M. Armean, Jack A. Kosmicki, Stacey Gabriel, Christopher Vittal, David Roazen, Daniel R. Rhodes, Charlotte Tolonen, Matthew Solomonson, Laura D. Gauthier, Qingbo Wang, Andrea Ganna, Raymond K. Walters, Konrad J. Karczewski, Steven Ferriera, Thibault Jeandet, Jessica Alföldi, Mark J. Daly, Kristen M. Connolly, Kristian Cibulskis, Sam Novod, Timothy Poterba, Jeff Gentry, Yossi Farjoun, Moriel Singer-Berk, Diane Kaplan, Harrison Brand, Cotton Seed, Kaitlin E. Samocha, Michael E. Talkowski, Laurent C. Francioli, Molly Schleicher, Miguel Covarrubias, Jessica X. Chong, Christopher Llanwarne, Kathleen Tibbetts, Andrea Saltzman, Beryl B. Cummings, Grace Tiao, Sanna Gudmundsson, Nikelle Petrillo, Nicholas A. Watts, Jose Soto, Arcturus Wang, Daniel G. MacArthur, Valentin Ruano-Rubio, Eric Banks, Daniel P. Birnbaum, Eleanor G. Seaby, Ruchi Munshi, Gordon Wade, Nicola Whiffin, Louis Bergelson, Namrata Gupta, Eleina M. England, Katherine Tashman, Ryan L. Collins, Zachary Zappala, Emma Pierce-Hoffman, Eric Vallabh Minikel, Ben Weisburd |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Nature |
| Popis: |
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 sizes |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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