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Evaluating drug targets through human loss-of-function genetic variation

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 us...

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Autores principales: Minikel, Eric Vallabh, 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., Schreiber, Stuart L., MacArthur, Daniel G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272226/
https://www.ncbi.nlm.nih.gov/pubmed/32461653
http://dx.doi.org/10.1038/s41586-020-2267-z
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author Minikel, Eric Vallabh
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.
Schreiber, Stuart L.
MacArthur, Daniel G.
author_facet Minikel, Eric Vallabh
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.
Schreiber, Stuart L.
MacArthur, Daniel G.
author_sort Minikel, Eric Vallabh
collection PubMed
description 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.
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spelling pubmed-72722262020-07-15 Evaluating drug targets through human loss-of-function genetic variation Minikel, Eric Vallabh 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. Schreiber, Stuart L. MacArthur, Daniel G. Nature Analysis 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. Nature Publishing Group UK 2020-05-27 2020 /pmc/articles/PMC7272226/ /pubmed/32461653 http://dx.doi.org/10.1038/s41586-020-2267-z Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analysis
Minikel, Eric Vallabh
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.
Schreiber, Stuart L.
MacArthur, Daniel G.
Evaluating drug targets through human loss-of-function genetic variation
title Evaluating drug targets through human loss-of-function genetic variation
title_full Evaluating drug targets through human loss-of-function genetic variation
title_fullStr Evaluating drug targets through human loss-of-function genetic variation
title_full_unstemmed Evaluating drug targets through human loss-of-function genetic variation
title_short Evaluating drug targets through human loss-of-function genetic variation
title_sort evaluating drug targets through human loss-of-function genetic variation
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272226/
https://www.ncbi.nlm.nih.gov/pubmed/32461653
http://dx.doi.org/10.1038/s41586-020-2267-z
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