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Conditional genome-wide associations reveal novel genes

Bellis, E. S.; Robertson, M.; Booker, W. W.; Rudin, C. D. S.; Alvarez, M. F.

2026-04-09 genomics
10.64898/2026.04.08.717258 bioRxiv
Show abstract

We introduce two novel approaches for gene discovery based on conditional genome-wide associations. Experimental validation of gene targets identified by our top-performing approach uncovers three genes with a previously unknown role in controlling flowering time in Arabidopsis, one of the most well-studied traits in the most well-studied plant genome. This work demonstrates the power of knockoff-based frameworks to uniquely identify novel genes underlying complex traits, a core task across applications in agriculture and human health.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.