After GWAS studies, how to narrow the search for genes?

Genome-wide association studies (GWAS) often turn up a long list of genes that MIGHT help cause the trait of interest. Many algorithms can help scientists prioritize which genes to pursue further, but which one to choose? Borrowing from machine learning, and singling out one chromosome at a time, a new tool called Benchmarker helps scientists evaluate existing algorithms to guide their search for relevant genes.

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