학술논문
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction
Document Type
article
Author
Saori Sakaue; Jun Hirata; Masahiro Kanai; Ken Suzuki; Masato Akiyama; Chun Lai Too; Thurayya Arayssi; Mohammed Hammoudeh; Samar Al Emadi; Basel K. Masri; Hussein Halabi; Humeira Badsha; Imad W. Uthman; Richa Saxena; Leonid Padyukov; Makoto Hirata; Koichi Matsuda; Yoshinori Murakami; Yoichiro Kamatani; Yukinori Okada
Source
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Subject
Language
English
ISSN
2041-1723
Abstract
Population structure, even subtle differences within seemingly homogenous populations, can have an impact on the accuracy of polygenic prediction. Here, Sakaue et al. use dimensionality reduction methods to reveal fine-scale structure in the Biobank Japan cohort and explore the performance of polygenic risk scores.