Bench Research Informed by GWAS Results.

Autor: Kondratyev NV; Mental Health Research Center, 115522 Moscow, Russia., Alfimova MV; Mental Health Research Center, 115522 Moscow, Russia., Golov AK; Mental Health Research Center, 115522 Moscow, Russia.; Institute of Gene Biology, Russian Academy of Sciences, 119334 Moscow, Russia., Golimbet VE; Mental Health Research Center, 115522 Moscow, Russia.
Jazyk: angličtina
Zdroj: Cells [Cells] 2021 Nov 15; Vol. 10 (11). Date of Electronic Publication: 2021 Nov 15.
DOI: 10.3390/cells10113184
Abstrakt: 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.
Databáze: MEDLINE
Nepřihlášeným uživatelům se plný text nezobrazuje