Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies

Epigenomics: Finding DNA modifications that predict disease Patterns of chemical modifications on DNA can predict the risk of certain diseases, but the challenge is knowing where to look for them. Atsushi Shimizu from Iwate Medical University in Japan and his colleagues determined the location of th...

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Autores principales: Tsuyoshi Hachiya, Ryohei Furukawa, Yuh Shiwa, Hideki Ohmomo, Kanako Ono, Fumiki Katsuoka, Masao Nagasaki, Jun Yasuda, Nobuo Fuse, Kengo Kinoshita, Masayuki Yamamoto, Kozo Tanno, Mamoru Satoh, Ryujin Endo, Makoto Sasaki, Kiyomi Sakata, Seiichiro Kobayashi, Kuniaki Ogasawara, Jiro Hitomi, Kenji Sobue, Atsushi Shimizu
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/a07ddf0c2d804297ad3e9607720e33ff
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spelling oai:doaj.org-article:a07ddf0c2d804297ad3e9607720e33ff2021-12-02T16:08:59ZGenome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies10.1038/s41525-017-0016-52056-7944https://doaj.org/article/a07ddf0c2d804297ad3e9607720e33ff2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41525-017-0016-5https://doaj.org/toc/2056-7944Epigenomics: Finding DNA modifications that predict disease Patterns of chemical modifications on DNA can predict the risk of certain diseases, but the challenge is knowing where to look for them. Atsushi Shimizu from Iwate Medical University in Japan and his colleagues determined the location of these modifications, methyl groups added to DNA’s cytosine bases, in over hundred healthy people and found two million regions that vary widely between individuals. They used previous data to show that these regions are far more likely to change during the course of disease than genomic loci that are unchanged in all subjects. Current methods to look for disease-specific methylation changes can only profile at most 20% of the genome and Shimizu’s work will help focus on the 20% that matter for identifying disease risk and lead to better diagnosis and prognosis.Tsuyoshi HachiyaRyohei FurukawaYuh ShiwaHideki OhmomoKanako OnoFumiki KatsuokaMasao NagasakiJun YasudaNobuo FuseKengo KinoshitaMasayuki YamamotoKozo TannoMamoru SatohRyujin EndoMakoto SasakiKiyomi SakataSeiichiro KobayashiKuniaki OgasawaraJiro HitomiKenji SobueAtsushi ShimizuNature PortfolioarticleMedicineRGeneticsQH426-470ENnpj Genomic Medicine, Vol 2, Iss 1, Pp 1-14 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Genetics
QH426-470
spellingShingle Medicine
R
Genetics
QH426-470
Tsuyoshi Hachiya
Ryohei Furukawa
Yuh Shiwa
Hideki Ohmomo
Kanako Ono
Fumiki Katsuoka
Masao Nagasaki
Jun Yasuda
Nobuo Fuse
Kengo Kinoshita
Masayuki Yamamoto
Kozo Tanno
Mamoru Satoh
Ryujin Endo
Makoto Sasaki
Kiyomi Sakata
Seiichiro Kobayashi
Kuniaki Ogasawara
Jiro Hitomi
Kenji Sobue
Atsushi Shimizu
Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies
description Epigenomics: Finding DNA modifications that predict disease Patterns of chemical modifications on DNA can predict the risk of certain diseases, but the challenge is knowing where to look for them. Atsushi Shimizu from Iwate Medical University in Japan and his colleagues determined the location of these modifications, methyl groups added to DNA’s cytosine bases, in over hundred healthy people and found two million regions that vary widely between individuals. They used previous data to show that these regions are far more likely to change during the course of disease than genomic loci that are unchanged in all subjects. Current methods to look for disease-specific methylation changes can only profile at most 20% of the genome and Shimizu’s work will help focus on the 20% that matter for identifying disease risk and lead to better diagnosis and prognosis.
format article
author Tsuyoshi Hachiya
Ryohei Furukawa
Yuh Shiwa
Hideki Ohmomo
Kanako Ono
Fumiki Katsuoka
Masao Nagasaki
Jun Yasuda
Nobuo Fuse
Kengo Kinoshita
Masayuki Yamamoto
Kozo Tanno
Mamoru Satoh
Ryujin Endo
Makoto Sasaki
Kiyomi Sakata
Seiichiro Kobayashi
Kuniaki Ogasawara
Jiro Hitomi
Kenji Sobue
Atsushi Shimizu
author_facet Tsuyoshi Hachiya
Ryohei Furukawa
Yuh Shiwa
Hideki Ohmomo
Kanako Ono
Fumiki Katsuoka
Masao Nagasaki
Jun Yasuda
Nobuo Fuse
Kengo Kinoshita
Masayuki Yamamoto
Kozo Tanno
Mamoru Satoh
Ryujin Endo
Makoto Sasaki
Kiyomi Sakata
Seiichiro Kobayashi
Kuniaki Ogasawara
Jiro Hitomi
Kenji Sobue
Atsushi Shimizu
author_sort Tsuyoshi Hachiya
title Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies
title_short Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies
title_full Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies
title_fullStr Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies
title_full_unstemmed Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies
title_sort genome-wide identification of inter-individually variable dna methylation sites improves the efficacy of epigenetic association studies
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/a07ddf0c2d804297ad3e9607720e33ff
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