Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction

Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction

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 polyge...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2020-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-15194-z

Internet

https://doi.org/10.1038/s41467-020-15194-z

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