The team of Akemi OKADA at Osaka University has used next-generation sequencing of leukocyte DNA and machine learning to analyze patterns of white blood cells in Japanese population. Based on 170,000 Japanese whose genetic data are stored in Biobank Japan, their procedure revealed that individual differences in 11 overall patterns are related to more than 50 phenotypes including diseases and quantitative traits.
Osaka University news release, January 29, 2019
NGS and machine learning elucidates 11 patterns of white blood cells in Japanese population.