JAMAevidence JAMA Guide to Statistics and Methods cover image

JAMAevidence JAMA Guide to Statistics and Methods

Genome-Wide Association Studies With Dr Rotter

Sep 5, 2024
Jerome I. Rotter, an expert in translational genomics, joins JAMA Statistical Editor Roger J. Lewis to dive into Genome-Wide Association Studies (GWAS). They explore the differences between Mendelian and complex diseases, discussing how single base mutations lead to conditions like sickle cell anemia. The conversation covers polygenic diseases, highlighting the genetic variants behind ailments such as type 2 diabetes. They also tackle advancements in GWAS and the significance of SNPs, emphasizing the importance of diverse ethnic inclusion for reliable findings.
23:26

Podcast summary created with Snipd AI

Quick takeaways

  • Genome-wide association studies (GWAS) identify genetic variations linked to complex diseases by comparing SNPs between affected individuals and controls.
  • The findings from GWAS facilitate clinical applications like polygenic risk scores for predicting disease risk and guiding targeted prevention strategies.

Deep dives

Understanding Mendelian vs. Polygenic Diseases

Mendelian genetic diseases are caused by a single change in a DNA base pair, leading to specific phenotypes such as sickle cell anemia and cystic fibrosis. In contrast, common chronic diseases like type 2 diabetes and coronary artery disease arise from the interaction of numerous genetic variants, known as polygenic diseases. These disorders involve complex relationships between hundreds of genetic factors that collectively influence disease susceptibility. The polygenic nature of these diseases complicates the search for genetic causes, as it necessitates examining multiple genetic variations rather than focusing on a single gene.

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