Cargando…
Extreme purifying selection against point mutations in the human genome
Large-scale genome sequencing has enabled the measurement of strong purifying selection in protein-coding genes. Here we describe a new method, called ExtRaINSIGHT, for measuring such selection in noncoding as well as coding regions of the human genome. ExtRaINSIGHT estimates the prevalence of “ultr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314448/ https://www.ncbi.nlm.nih.gov/pubmed/35879308 http://dx.doi.org/10.1038/s41467-022-31872-6 |
_version_ | 1784754324948123648 |
---|---|
author | Dukler, Noah Mughal, Mehreen R. Ramani, Ritika Huang, Yi-Fei Siepel, Adam |
author_facet | Dukler, Noah Mughal, Mehreen R. Ramani, Ritika Huang, Yi-Fei Siepel, Adam |
author_sort | Dukler, Noah |
collection | PubMed |
description | Large-scale genome sequencing has enabled the measurement of strong purifying selection in protein-coding genes. Here we describe a new method, called ExtRaINSIGHT, for measuring such selection in noncoding as well as coding regions of the human genome. ExtRaINSIGHT estimates the prevalence of “ultraselection” by the fractional depletion of rare single-nucleotide variants, after controlling for variation in mutation rates. Applying ExtRaINSIGHT to 71,702 whole genome sequences from gnomAD v3, we find abundant ultraselection in evolutionarily ancient miRNAs and neuronal protein-coding genes, as well as at splice sites. By contrast, we find much less ultraselection in other noncoding RNAs and transcription factor binding sites, and only modest levels in ultraconserved elements. We estimate that ~0.4–0.7% of the human genome is ultraselected, implying ~ 0.26–0.51 strongly deleterious mutations per generation. Overall, our study sheds new light on the genome-wide distribution of fitness effects by combining deep sequencing data and classical theory from population genetics. |
format | Online Article Text |
id | pubmed-9314448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93144482022-07-27 Extreme purifying selection against point mutations in the human genome Dukler, Noah Mughal, Mehreen R. Ramani, Ritika Huang, Yi-Fei Siepel, Adam Nat Commun Article Large-scale genome sequencing has enabled the measurement of strong purifying selection in protein-coding genes. Here we describe a new method, called ExtRaINSIGHT, for measuring such selection in noncoding as well as coding regions of the human genome. ExtRaINSIGHT estimates the prevalence of “ultraselection” by the fractional depletion of rare single-nucleotide variants, after controlling for variation in mutation rates. Applying ExtRaINSIGHT to 71,702 whole genome sequences from gnomAD v3, we find abundant ultraselection in evolutionarily ancient miRNAs and neuronal protein-coding genes, as well as at splice sites. By contrast, we find much less ultraselection in other noncoding RNAs and transcription factor binding sites, and only modest levels in ultraconserved elements. We estimate that ~0.4–0.7% of the human genome is ultraselected, implying ~ 0.26–0.51 strongly deleterious mutations per generation. Overall, our study sheds new light on the genome-wide distribution of fitness effects by combining deep sequencing data and classical theory from population genetics. Nature Publishing Group UK 2022-07-25 /pmc/articles/PMC9314448/ /pubmed/35879308 http://dx.doi.org/10.1038/s41467-022-31872-6 Text en © The Author(s) 2022 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 | Article Dukler, Noah Mughal, Mehreen R. Ramani, Ritika Huang, Yi-Fei Siepel, Adam Extreme purifying selection against point mutations in the human genome |
title | Extreme purifying selection against point mutations in the human genome |
title_full | Extreme purifying selection against point mutations in the human genome |
title_fullStr | Extreme purifying selection against point mutations in the human genome |
title_full_unstemmed | Extreme purifying selection against point mutations in the human genome |
title_short | Extreme purifying selection against point mutations in the human genome |
title_sort | extreme purifying selection against point mutations in the human genome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314448/ https://www.ncbi.nlm.nih.gov/pubmed/35879308 http://dx.doi.org/10.1038/s41467-022-31872-6 |
work_keys_str_mv | AT duklernoah extremepurifyingselectionagainstpointmutationsinthehumangenome AT mughalmehreenr extremepurifyingselectionagainstpointmutationsinthehumangenome AT ramaniritika extremepurifyingselectionagainstpointmutationsinthehumangenome AT huangyifei extremepurifyingselectionagainstpointmutationsinthehumangenome AT siepeladam extremepurifyingselectionagainstpointmutationsinthehumangenome |