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Severe preeclampsia is not associated with significant DNA methylation changes but cell proportion changes in the cord blood - caution on the importance of confounding adjustment.
Liu, Wenting; Yang, Xiaotong; Mao, Zhixin; Du, Yuheng; Lassiter, Cameron; AlAkwaa, Fadhl M; Benny, Paula A; Garmire, Lana X.
Afiliação
  • Liu W; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
  • Yang X; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
  • Mao Z; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
  • Du Y; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
  • Lassiter C; University of Hawaii Cancer Center, Epidemiology, Honolulu, HI.
  • AlAkwaa FM; Department of Neurology, University of Michigan, Ann Arbor, MI.
  • Benny PA; University of Hawaii Cancer Center, Epidemiology, Honolulu, HI.
  • Garmire LX; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
medRxiv ; 2023 Aug 31.
Article em En | MEDLINE | ID: mdl-37693517
ABSTRACT
Epigenome-wide DNA methylation analysis (EWAS) is an important approach to identify biomarkers for early disease detection and prognosis prediction, yet its results could be confounded by other factors such as cell-type heterogeneity and patient characteristics. In this study, we address the importance of confounding adjustment by examining DNA methylation patterns in cord blood exposed to severe preeclampsia (PE), a prevalent and potentially fatal pregnancy complication. Without such adjustment, a misleading global hypomethylation pattern is obtained. However, after adjusting cell type proportions and patient clinical characteristics, most of the so-called significant CpG methylation changes associated with severe PE disappear. Rather, the major effect of PE on cord blood is through the proportion changes in different cell types. These results are validated using a previously published cord blood DNA methylation dataset, where global hypomethylation pattern was also wrongfully obtained without confounding adjustment. Additionally, several cell types significantly change as gestation progress (eg. granulocyte, nRBC, CD4T, and B cells), further confirming the importance of cell type adjustment in EWAS study of cord blood tissues. Our study urges the community to perform confounding adjustments in EWAS studies, based on cell type heterogeneity and other patient characteristics.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article