Evaluating drug targets through human loss-of-function genetic variation
Genome Aggregation Database Production Team; Genome Aggregation Database Consortium; Minikel, Eric V.; Karczewski, Konrad J.; Martin, Hilary C.; Cummings, Beryl B.; Whiffin, Nicola; Rhodes, Daniel; Alföldi, Jessica; Trembath, Richard C.; van Heel, David A.; Daly, Mark J.; Armean, Irina M.; Banks, Eric; Bergelson, Louis; Cibulskis, Kristian; Collins, Ryan L.; Connolly, Kristen M.; Covarrubias, Miguel; Donnelly, Stacey; Farjoun, Yossi; Ferriera, Steven; Francioli, Laurent; Gabriel, Stacey; Gauthier, Laura D.; Gentry, Jeff; Gupta, Namrata; Jeandet, Thibault; Kaplan, Diane; Laricchia, Kristen M.; Llanwarne, Christopher; Munshi, Ruchi; Neale, Benjamin M.; Novod, Sam; O’Donnell-Luria, Anne H.; Petrillo, Nikelle; Poterba, Timothy; Roazen, David; Ruano-Rubio, Valentin; Saltzman, Andrea; Samocha, Kaitlin E.; Schleicher, Molly; Seed, Cotton; Solomonson, Matthew; Lehtimäki, Terho; Mattila, Kari M.; Suvisaari, Jaana (2020-05)
Genome Aggregation Database Production Team
Genome Aggregation Database Consortium
Minikel, Eric V.
Karczewski, Konrad J.
Martin, Hilary C.
Cummings, Beryl B.
Whiffin, Nicola
Rhodes, Daniel
Alföldi, Jessica
Trembath, Richard C.
van Heel, David A.
Daly, Mark J.
Armean, Irina M.
Banks, Eric
Bergelson, Louis
Cibulskis, Kristian
Collins, Ryan L.
Connolly, Kristen M.
Covarrubias, Miguel
Donnelly, Stacey
Farjoun, Yossi
Ferriera, Steven
Francioli, Laurent
Gabriel, Stacey
Gauthier, Laura D.
Gentry, Jeff
Gupta, Namrata
Jeandet, Thibault
Kaplan, Diane
Laricchia, Kristen M.
Llanwarne, Christopher
Munshi, Ruchi
Neale, Benjamin M.
Novod, Sam
O’Donnell-Luria, Anne H.
Petrillo, Nikelle
Poterba, Timothy
Roazen, David
Ruano-Rubio, Valentin
Saltzman, Andrea
Samocha, Kaitlin E.
Schleicher, Molly
Seed, Cotton
Solomonson, Matthew
Lehtimäki, Terho
Mattila, Kari M.
Suvisaari, Jaana
05 / 2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202101191480
https://urn.fi/URN:NBN:fi:tuni-202101191480
Kuvaus
Peer reviewed
Tiivistelmä
Naturally occurring human genetic variants that are predicted to inactivate protein-coding genes provide an in vivo model of human gene inactivation that complements knockout studies in cells and model organisms. Here we report three key findings regarding the assessment of candidate drug targets using human loss-of-function variants. First, even essential genes, in which loss-of-function variants are not tolerated, can be highly successful as targets of inhibitory drugs. Second, in most genes, loss-of-function variants are sufficiently rare that genotype-based ascertainment of homozygous or compound heterozygous ‘knockout’ humans will await sample sizes that are approximately 1,000 times those presently available, unless recruitment focuses on consanguineous individuals. Third, automated variant annotation and filtering are powerful, but manual curation remains crucial for removing artefacts, and is a prerequisite for recall-by-genotype efforts. Our results provide a roadmap for human knockout studies and should guide the interpretation of loss-of-function variants in drug development.
Kokoelmat
- TUNICRIS-julkaisut [18237]