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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nikolay V. Kondratyev, Margarita V. Alfimova, Arkadiy K. Golov, Vera E. Golimbet
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	complex traits GWAS polygenic scores Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b6e3c55e7ea542b684a78a5f7352b6b0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b6e3c55e7ea542b684a78a5f7352b6b0
record_format	dspace
spelling	oai:doaj.org-article:b6e3c55e7ea542b684a78a5f7352b6b02021-11-25T17:12:31ZBench Research Informed by GWAS Results10.3390/cells101131842073-4409https://doaj.org/article/b6e3c55e7ea542b684a78a5f7352b6b02021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4409/10/11/3184https://doaj.org/toc/2073-4409Scientifically 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.Nikolay V. KondratyevMargarita V. AlfimovaArkadiy K. GolovVera E. GolimbetMDPI AGarticlecomplex traitsGWASpolygenic scoresBiology (General)QH301-705.5ENCells, Vol 10, Iss 3184, p 3184 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	complex traits GWAS polygenic scores Biology (General) QH301-705.5
spellingShingle	complex traits GWAS polygenic scores Biology (General) QH301-705.5 Nikolay V. Kondratyev Margarita V. Alfimova Arkadiy K. Golov Vera E. Golimbet Bench Research Informed by GWAS Results
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	article
author	Nikolay V. Kondratyev Margarita V. Alfimova Arkadiy K. Golov Vera E. Golimbet
author_facet	Nikolay V. Kondratyev Margarita V. Alfimova Arkadiy K. Golov Vera E. Golimbet
author_sort	Nikolay V. Kondratyev
title	Bench Research Informed by GWAS Results
title_short	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_sort	bench research informed by gwas results
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b6e3c55e7ea542b684a78a5f7352b6b0
work_keys_str_mv	AT nikolayvkondratyev benchresearchinformedbygwasresults AT margaritavalfimova benchresearchinformedbygwasresults AT arkadiykgolov benchresearchinformedbygwasresults AT veraegolimbet benchresearchinformedbygwasresults
_version_	1718412613990219776

Bench Research Informed by GWAS Results

Ejemplares similares