AI Article Synopsis

  • Complex traits are often polygenic and hereditary, making them scientifically intriguing but tough to study due to their complicated genetic makeup.
  • Traditional methods of reverse genetics struggle with these traits since they typically focus on single genes, while complex traits involve many genetic factors with small individual impacts.
  • This review seeks to help biologists understand and interpret GWAS results better, addressing common misconceptions and exploring how these results can be applied in further research on complex traits.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623533PMC
http://dx.doi.org/10.3390/cells10113184DOI Listing

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