論文

査読有り
2016年1月

Adjustment of Cell-Type Composition Minimizes Systematic Bias in Blood DNA Methylation Profiles Derived by DNA Collection Protocols

PLOS ONE
  • Yuh Shiwa
  • Tsuyoshi Hachiya
  • Ryohei Furukawa
  • Hideki Ohmomo
  • Kanako Ono
  • Hisaaki Kudo
  • Jun Hata
  • Atsushi Hozawa
  • Motoki Iwasaki
  • Koichi Matsuda
  • Naoko Minegishi
  • Mamoru Satoh
  • Kozo Tanno
  • Taiki Yamaji
  • Kenji Wakai
  • Jiro Hitomi
  • Yutaka Kiyohara
  • Michiaki Kubo
  • Hideo Tanaka
  • Shoichiro Tsugane
  • Masayuki Yamamoto
  • Kenji Sobue
  • Atsushi Shimizu
  • 全て表示

11
1
開始ページ
e0147519
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0147519
出版者・発行元
PUBLIC LIBRARY SCIENCE

Differences in DNA collection protocols may be a potential confounder in epigenome-wide association studies (EWAS) using a large number of blood specimens from multiple biobanks and/or cohorts. Here we show that pre -analytical procedures involved in DNA collection can induce systematic bias in the DNA methylation profiles of blood cells that can be adjusted by cell -type composition variables. In Experiment 1, whole blood from 16 volunteers was collected to examine the effect of a 24 h storage period at 4 C on DNA methylation profiles as measured using the Infinium HumanMethylation450 BeadChip array. Our statistical analysis showed that the P -value distribution of more than 450,000 CpG sites was similar to the theoretical distribution (in quantile-quantile plot, A = 1.03) when comparing two control replicates, which was remarkably deviated from the theoretical distribution (A = 1.50) when comparing control and storage conditions. We then considered cell -type composition as a possible cause of the observed bias in DNA methylation profiles and found that the bias associated with the cold storage condition was largely decreased (A adjusted = 1.14) by taking into account a cell -type composition variable. As such, we compared four respective sample collection protocols used in large-scale Japanese biobanks or cohorts as well as two control replicates. Systematic biases in DNA methylation profiles were observed between control and three of four protocols without adjustment of cell -type composition (A = 1.12-1.45) and no remarkable biases were seen after adjusting for cell -type composition in all four protocols (adjusted = 1.00-1.17). These results revealed important implications for comparing DNA methylation profiles between blood specimens from different sources and may lead to discovery of disease -associated DNA methylation markers and the development of DNA methylation profile -based predictive risk models.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0147519
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26799745
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000368655300118&DestApp=WOS_CPL
ID情報
  • DOI : 10.1371/journal.pone.0147519
  • ISSN : 1932-6203
  • PubMed ID : 26799745
  • Web of Science ID : WOS:000368655300118

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