In this episode, Marie Sadler talksabout her recent Cell Genomics paper, Multi-layered genetic approaches toidentify approved drug targets.
Previous studies have found that the drugs that target a gene linked to thedisease are more likely to be approved. Yet there are many ways to define whatit means for a gene to be linked to the disease. Perhaps the moststraightforward approach is to rely on the genome-wide association studies (GWAS) data,but that data can also be integrated with quantitative trait loci (eQTL or pQTL) informationto establish less obvious links between genetic variants (which often lieoutside of genes) and genes. Finally, there’s exome sequencing, which, unlikeGWAS, captures rare genetic variants. So in this paper, Marie and hercolleagues set out to benchmark these different methods against one another.
Listen to the episode to find out how these methods work, which oneswork better, and how network propagation can improve the prediction accuracy.
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Thank you to Jake Yeung, Michael Weinstein, and other Patreon members for supporting this episode.
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