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Bench Research Informed by GWAS Results
Scientifically interesting as well as practically important phenotypes often belong to the realm of complex traits. To the extent that these traits are hereditary, they are usually ‘highly polygenic’. The study of such traits presents a challenge for researchers, as the complex genetic architecture...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623533/ https://www.ncbi.nlm.nih.gov/pubmed/34831407 http://dx.doi.org/10.3390/cells10113184 |
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author | Kondratyev, Nikolay V. Alfimova, Margarita V. Golov, Arkadiy K. Golimbet, Vera E. |
author_facet | Kondratyev, Nikolay V. Alfimova, Margarita V. Golov, Arkadiy K. Golimbet, Vera E. |
author_sort | Kondratyev, Nikolay V. |
collection | PubMed |
description | Scientifically interesting as well as practically important phenotypes often belong to the realm of complex traits. To the extent that these traits are hereditary, they are usually ‘highly polygenic’. The study of such traits presents a challenge for researchers, as the complex genetic architecture of such traits makes it nearly impossible to utilise many of the usual methods of reverse genetics, which often focus on specific genes. In recent years, thousands of genome-wide association studies (GWAS) were undertaken to explore the relationships between complex traits and a large number of genetic factors, most of which are characterised by tiny effects. In this review, we aim to familiarise ‘wet biologists’ with approaches for the interpretation of GWAS results, to clarify some issues that may seem counterintuitive and to assess the possibility of using GWAS results in experiments on various complex traits. |
format | Online Article Text |
id | pubmed-8623533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86235332021-11-27 Bench Research Informed by GWAS Results Kondratyev, Nikolay V. Alfimova, Margarita V. Golov, Arkadiy K. Golimbet, Vera E. Cells Review Scientifically interesting as well as practically important phenotypes often belong to the realm of complex traits. To the extent that these traits are hereditary, they are usually ‘highly polygenic’. The study of such traits presents a challenge for researchers, as the complex genetic architecture of such traits makes it nearly impossible to utilise many of the usual methods of reverse genetics, which often focus on specific genes. In recent years, thousands of genome-wide association studies (GWAS) were undertaken to explore the relationships between complex traits and a large number of genetic factors, most of which are characterised by tiny effects. In this review, we aim to familiarise ‘wet biologists’ with approaches for the interpretation of GWAS results, to clarify some issues that may seem counterintuitive and to assess the possibility of using GWAS results in experiments on various complex traits. MDPI 2021-11-15 /pmc/articles/PMC8623533/ /pubmed/34831407 http://dx.doi.org/10.3390/cells10113184 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kondratyev, Nikolay V. Alfimova, Margarita V. Golov, Arkadiy K. Golimbet, Vera E. Bench Research Informed by GWAS Results |
title | Bench Research Informed by GWAS Results |
title_full | Bench Research Informed by GWAS Results |
title_fullStr | Bench Research Informed by GWAS Results |
title_full_unstemmed | Bench Research Informed by GWAS Results |
title_short | Bench Research Informed by GWAS Results |
title_sort | bench research informed by gwas results |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623533/ https://www.ncbi.nlm.nih.gov/pubmed/34831407 http://dx.doi.org/10.3390/cells10113184 |
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