Identifying genetic risk factors for binge-eating disorder (BED) is vital to understand its etiology and develop effective prevention and intervention strategies. To overcome under-reporting of clinical BED diagnosis, a new study uses machine learning to identify genetic variants associated with quantitative BED risk scores and finds evidence for a pathological role of heme metabolism.
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The authors report no competing interests.
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Thorp, J.G., Gerring, Z.F. & Derks, E.M. Machine learning drives genetic discovery for binge eating disorder. Nat Genet 55, 1424–1425 (2023). https://doi.org/10.1038/s41588-023-01473-0