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Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation
Genome-wide association studies (GWAS) have uncovered thousands of genetic variants that influence risk for human diseases and traits. Yet understanding the mechanisms by which these genetic variants, mainly noncoding, have an impact on associated diseases and traits remains a significant hurdle. In...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948363/ https://www.ncbi.nlm.nih.gov/pubmed/33691767 http://dx.doi.org/10.1186/s13073-021-00857-3 |
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author | Rao, Shuquan Yao, Yao Bauer, Daniel E. |
author_facet | Rao, Shuquan Yao, Yao Bauer, Daniel E. |
author_sort | Rao, Shuquan |
collection | PubMed |
description | Genome-wide association studies (GWAS) have uncovered thousands of genetic variants that influence risk for human diseases and traits. Yet understanding the mechanisms by which these genetic variants, mainly noncoding, have an impact on associated diseases and traits remains a significant hurdle. In this review, we discuss emerging experimental approaches that are being applied for functional studies of causal variants and translational advances from GWAS findings to disease prevention and treatment. We highlight the use of genome editing technologies in GWAS functional studies to modify genomic sequences, with proof-of-principle examples. We discuss the challenges in interrogating causal variants, points for consideration in experimental design and interpretation of GWAS locus mechanisms, and the potential for novel therapeutic opportunities. With the accumulation of knowledge of functional genetics, therapeutic genome editing based on GWAS discoveries will become increasingly feasible. |
format | Online Article Text |
id | pubmed-7948363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79483632021-03-11 Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation Rao, Shuquan Yao, Yao Bauer, Daniel E. Genome Med Review Genome-wide association studies (GWAS) have uncovered thousands of genetic variants that influence risk for human diseases and traits. Yet understanding the mechanisms by which these genetic variants, mainly noncoding, have an impact on associated diseases and traits remains a significant hurdle. In this review, we discuss emerging experimental approaches that are being applied for functional studies of causal variants and translational advances from GWAS findings to disease prevention and treatment. We highlight the use of genome editing technologies in GWAS functional studies to modify genomic sequences, with proof-of-principle examples. We discuss the challenges in interrogating causal variants, points for consideration in experimental design and interpretation of GWAS locus mechanisms, and the potential for novel therapeutic opportunities. With the accumulation of knowledge of functional genetics, therapeutic genome editing based on GWAS discoveries will become increasingly feasible. BioMed Central 2021-03-10 /pmc/articles/PMC7948363/ /pubmed/33691767 http://dx.doi.org/10.1186/s13073-021-00857-3 Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Rao, Shuquan Yao, Yao Bauer, Daniel E. Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation |
title | Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation |
title_full | Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation |
title_fullStr | Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation |
title_full_unstemmed | Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation |
title_short | Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation |
title_sort | editing gwas: experimental approaches to dissect and exploit disease-associated genetic variation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948363/ https://www.ncbi.nlm.nih.gov/pubmed/33691767 http://dx.doi.org/10.1186/s13073-021-00857-3 |
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