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Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population

The genetic landscape of mitochondrial DNA (mtDNA) has been elusive. By analyzing mtDNA using the whole genome sequence (WGS) of Japanese individuals (n = 1928), we identified 2023 mtDNA variants and high-resolution haplogroups. Frequency spectra of the haplogroups were population-specific and were...

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Autores principales: Yamamoto, Kenichi, Sakaue, Saori, Matsuda, Koichi, Murakami, Yoshinori, Kamatani, Yoichiro, Ozono, Keiichi, Momozawa, Yukihide, Okada, Yukinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058612/
https://www.ncbi.nlm.nih.gov/pubmed/32139841
http://dx.doi.org/10.1038/s42003-020-0812-9
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author Yamamoto, Kenichi
Sakaue, Saori
Matsuda, Koichi
Murakami, Yoshinori
Kamatani, Yoichiro
Ozono, Keiichi
Momozawa, Yukihide
Okada, Yukinori
author_facet Yamamoto, Kenichi
Sakaue, Saori
Matsuda, Koichi
Murakami, Yoshinori
Kamatani, Yoichiro
Ozono, Keiichi
Momozawa, Yukihide
Okada, Yukinori
author_sort Yamamoto, Kenichi
collection PubMed
description The genetic landscape of mitochondrial DNA (mtDNA) has been elusive. By analyzing mtDNA using the whole genome sequence (WGS) of Japanese individuals (n = 1928), we identified 2023 mtDNA variants and high-resolution haplogroups. Frequency spectra of the haplogroups were population-specific and were heterogeneous among geographic regions within Japan. Application of machine learning methods could finely classify the subjects corresponding to the high-digit mtDNA sub-haplogroups. mtDNA had distinct genetic structures from that of nuclear DNA (nDNA), characterized by no distance-dependent linkage disequilibrium decay, sparse tagging of common variants, and the existence of common haplotypes spanning the entire mtDNA. We did not detect any evidence of mtDNA–nDNA (or mtDNA copy number–nDNA) genotype associations. Together with WGS-based mtDNA variant imputation, we conducted a phenome-wide association study of 147,437 Japanese individuals with 99 clinical phenotypes. We observed pleiotropy of mtDNA genetic risk on the five late-onset human complex traits including creatine kinase (P = 1.7 × 10(−12)).
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spelling pubmed-70586122020-03-19 Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population Yamamoto, Kenichi Sakaue, Saori Matsuda, Koichi Murakami, Yoshinori Kamatani, Yoichiro Ozono, Keiichi Momozawa, Yukihide Okada, Yukinori Commun Biol Article The genetic landscape of mitochondrial DNA (mtDNA) has been elusive. By analyzing mtDNA using the whole genome sequence (WGS) of Japanese individuals (n = 1928), we identified 2023 mtDNA variants and high-resolution haplogroups. Frequency spectra of the haplogroups were population-specific and were heterogeneous among geographic regions within Japan. Application of machine learning methods could finely classify the subjects corresponding to the high-digit mtDNA sub-haplogroups. mtDNA had distinct genetic structures from that of nuclear DNA (nDNA), characterized by no distance-dependent linkage disequilibrium decay, sparse tagging of common variants, and the existence of common haplotypes spanning the entire mtDNA. We did not detect any evidence of mtDNA–nDNA (or mtDNA copy number–nDNA) genotype associations. Together with WGS-based mtDNA variant imputation, we conducted a phenome-wide association study of 147,437 Japanese individuals with 99 clinical phenotypes. We observed pleiotropy of mtDNA genetic risk on the five late-onset human complex traits including creatine kinase (P = 1.7 × 10(−12)). Nature Publishing Group UK 2020-03-05 /pmc/articles/PMC7058612/ /pubmed/32139841 http://dx.doi.org/10.1038/s42003-020-0812-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yamamoto, Kenichi
Sakaue, Saori
Matsuda, Koichi
Murakami, Yoshinori
Kamatani, Yoichiro
Ozono, Keiichi
Momozawa, Yukihide
Okada, Yukinori
Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population
title Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population
title_full Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population
title_fullStr Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population
title_full_unstemmed Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population
title_short Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population
title_sort genetic and phenotypic landscape of the mitochondrial genome in the japanese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058612/
https://www.ncbi.nlm.nih.gov/pubmed/32139841
http://dx.doi.org/10.1038/s42003-020-0812-9
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