News Releases & Research Results Elucidation of regional diversity in a Japanese population using machine learning for large-scale genomics - Utilization of Japanese genome data for genomic personalized medicine -
2020.3.26News Releases & Research Results
- The results of research and development conducted by graduate student Saori Sakaue and Professor Yukinori Okada of the Department of Statistical Genetics, Osaka University Graduate School of Medicine.
The key results of R&D are as follows:
- Machine learning for large-scale genomics was applied to the genome sequences of a Japanese population (170,000 persons), visualizing a detailed regional genomic diversity in Japan.
- Machine learning was also applied to the UK Biobank and the genome cohort data of Malaysia and the Arab Republic to reveal a detailed genomic diversity, reflecting the regional characteristics of countries all over the world.
This R&D project was supported by the Tailor-Made Medical Treatment with the BioBank Japan Project by AMED.
The results were published in Nature Communications on March 26.
Last updated 2020.3.26