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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2020
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oai:doaj.org-article:c4f4b797ca974d86bfaca12d2007301f2021-12-02T16:49:28ZDimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction10.1038/s41467-020-15194-z2041-1723https://doaj.org/article/c4f4b797ca974d86bfaca12d2007301f2020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15194-zhttps://doaj.org/toc/2041-1723Population 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.Saori SakaueJun HirataMasahiro KanaiKen SuzukiMasato AkiyamaChun Lai TooThurayya ArayssiMohammed HammoudehSamar Al EmadiBasel K. MasriHussein HalabiHumeira BadshaImad W. UthmanRicha SaxenaLeonid PadyukovMakoto HirataKoichi MatsudaYoshinori MurakamiYoichiro KamataniYukinori OkadaNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
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Science Q 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 Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction |
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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. |
format |
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 |
author_facet |
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 |
author_sort |
Saori Sakaue |
title |
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction |
title_short |
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction |
title_full |
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction |
title_fullStr |
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction |
title_full_unstemmed |
Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction |
title_sort |
dimensionality reduction reveals fine-scale structure in the japanese population with consequences for polygenic risk prediction |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/c4f4b797ca974d86bfaca12d2007301f |
work_keys_str_mv |
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