Bench Research Informed by GWAS Results

Cells. 2021 Nov 15;10(11):3184. doi: 10.3390/cells10113184.

Abstract

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.

Keywords: GWAS; complex traits; polygenic scores.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Biomedical Research*
  • Follow-Up Studies
  • Genome-Wide Association Study*
  • Humans
  • Molecular Sequence Annotation
  • Multifactorial Inheritance
  • Publications