Cargando…
Hidden protein-altering variants influence diverse human phenotypes
Structural variants (SVs) comprise the largest genetic variants, altering from 50 base pairs to megabases of DNA. However, SVs have not been effectively ascertained in most genetic association studies, leaving a key gap in our understanding of human complex trait genetics. We ascertained protein-alt...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274781/ https://www.ncbi.nlm.nih.gov/pubmed/37333244 http://dx.doi.org/10.1101/2023.06.07.544066 |
_version_ | 1785059794136072192 |
---|---|
author | Hujoel, Margaux L.A. Handsaker, Robert E. Sherman, Maxwell A. Kamitaki, Nolan Barton, Alison R. Mukamel, Ronen E. Terao, Chikashi McCarroll, Steven A. Loh, Po-Ru |
author_facet | Hujoel, Margaux L.A. Handsaker, Robert E. Sherman, Maxwell A. Kamitaki, Nolan Barton, Alison R. Mukamel, Ronen E. Terao, Chikashi McCarroll, Steven A. Loh, Po-Ru |
author_sort | Hujoel, Margaux L.A. |
collection | PubMed |
description | Structural variants (SVs) comprise the largest genetic variants, altering from 50 base pairs to megabases of DNA. However, SVs have not been effectively ascertained in most genetic association studies, leaving a key gap in our understanding of human complex trait genetics. We ascertained protein-altering SVs from UK Biobank whole-exome sequencing data (n=468,570) using haplotype-informed methods capable of detecting sub-exonic SVs and variation within segmental duplications. Incorporating SVs into analyses of rare variants predicted to cause gene loss-of-function (pLoF) identified 100 associations of pLoF variants with 41 quantitative traits. A low-frequency partial deletion of RGL3 exon 6 appeared to confer one of the strongest protective effects of gene LoF on hypertension risk (OR = 0.86 [0.82–0.90]). Protein-coding variation in rapidly-evolving gene families within segmental duplications—previously invisible to most analysis methods—appeared to generate some of the human genome’s largest contributions to variation in type 2 diabetes risk, chronotype, and blood cell traits. These results illustrate the potential for new genetic insights from genomic variation that has escaped large-scale analysis to date. |
format | Online Article Text |
id | pubmed-10274781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102747812023-06-17 Hidden protein-altering variants influence diverse human phenotypes Hujoel, Margaux L.A. Handsaker, Robert E. Sherman, Maxwell A. Kamitaki, Nolan Barton, Alison R. Mukamel, Ronen E. Terao, Chikashi McCarroll, Steven A. Loh, Po-Ru bioRxiv Article Structural variants (SVs) comprise the largest genetic variants, altering from 50 base pairs to megabases of DNA. However, SVs have not been effectively ascertained in most genetic association studies, leaving a key gap in our understanding of human complex trait genetics. We ascertained protein-altering SVs from UK Biobank whole-exome sequencing data (n=468,570) using haplotype-informed methods capable of detecting sub-exonic SVs and variation within segmental duplications. Incorporating SVs into analyses of rare variants predicted to cause gene loss-of-function (pLoF) identified 100 associations of pLoF variants with 41 quantitative traits. A low-frequency partial deletion of RGL3 exon 6 appeared to confer one of the strongest protective effects of gene LoF on hypertension risk (OR = 0.86 [0.82–0.90]). Protein-coding variation in rapidly-evolving gene families within segmental duplications—previously invisible to most analysis methods—appeared to generate some of the human genome’s largest contributions to variation in type 2 diabetes risk, chronotype, and blood cell traits. These results illustrate the potential for new genetic insights from genomic variation that has escaped large-scale analysis to date. Cold Spring Harbor Laboratory 2023-06-09 /pmc/articles/PMC10274781/ /pubmed/37333244 http://dx.doi.org/10.1101/2023.06.07.544066 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Hujoel, Margaux L.A. Handsaker, Robert E. Sherman, Maxwell A. Kamitaki, Nolan Barton, Alison R. Mukamel, Ronen E. Terao, Chikashi McCarroll, Steven A. Loh, Po-Ru Hidden protein-altering variants influence diverse human phenotypes |
title | Hidden protein-altering variants influence diverse human phenotypes |
title_full | Hidden protein-altering variants influence diverse human phenotypes |
title_fullStr | Hidden protein-altering variants influence diverse human phenotypes |
title_full_unstemmed | Hidden protein-altering variants influence diverse human phenotypes |
title_short | Hidden protein-altering variants influence diverse human phenotypes |
title_sort | hidden protein-altering variants influence diverse human phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274781/ https://www.ncbi.nlm.nih.gov/pubmed/37333244 http://dx.doi.org/10.1101/2023.06.07.544066 |
work_keys_str_mv | AT hujoelmargauxla hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT handsakerroberte hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT shermanmaxwella hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT kamitakinolan hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT bartonalisonr hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT mukamelronene hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT teraochikashi hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT mccarrollstevena hiddenproteinalteringvariantsinfluencediversehumanphenotypes AT lohporu hiddenproteinalteringvariantsinfluencediversehumanphenotypes |