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A consistent pattern of slide effects in Illumina DNA methylation BeadChip array data.
Hecker, Julian; Lee, Sanghun; Kachroo, Priyadarshini; Prokopenko, Dmitry; Maaser-Hecker, Anna; Lutz, Sharon M; Hahn, Georg; Irizarry, Rafael; Weiss, Scott T; DeMeo, Dawn L; Lange, Christoph.
Afiliação
  • Hecker J; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Lee S; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Kachroo P; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Prokopenko D; Department of Medical Consilience, Division of Medicine, Graduate School, Dankook University, Yongin-si, South Korea.
  • Maaser-Hecker A; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Lutz SM; Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Hahn G; Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Irizarry R; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Weiss ST; Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care and Harvard Medical School, Boston, MA, USA.
  • DeMeo DL; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Lange C; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Epigenetics ; 18(1): 2257437, 2023 12.
Article em En | MEDLINE | ID: mdl-37731367
Background: Recent studies have identified thousands of associations between DNA methylation CpGs and complex diseases/traits, emphasizing the critical role of epigenetics in understanding disease aetiology and identifying biomarkers. However, association analyses based on methylation array data are susceptible to batch/slide effects, which can lead to inflated false positive rates or reduced statistical powerResults: We use multiple DNA methylation datasets based on the popular Illumina Infinium MethylationEPIC BeadChip array to describe consistent patterns and the joint distribution of slide effects across CpGs, confirming and extending previous results. The susceptible CpGs overlap with the Illumina Infinium HumanMethylation450 BeadChip array content.Conclusions: Our findings reveal systematic patterns in slide effects. The observations provide further insights into the characteristics of these effects and can improve existing adjustment approaches.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos