A machine learning approach reveals heterogeneous association of environmental factors with diseases across polygenic risk scores: an application to cardiovascular diseases and type 2 diabetes.

Naito T, Inoue K (co-first), Namba S, Sonehara K, Suzuki K, BioBank Japan, Yamamoto K, Baba R, Kodama T, Otagaki Y, Okada A, Itcho K, Kobuke K, Ohno H, Biobank Japan, Matsuda K, Kondo N, Toda T, Yamauchi T, Kadowaki T, Okada Y.(2024) A machine learning approach reveals heterogeneous association of environmental factors with diseases across polygenic risk scores: an application to cardiovascular diseases and type 2 diabetes. Communications Medicine. (In press)