Literature DB >> 26619905

Epigenome-Wide Association Study of Wellbeing.

Bart M L Baselmans1, Jenny van Dongen1, Michel G Nivard1, Bochao D Lin1, Nuno R Zilhão1, Dorret I Boomsma1, Meike Bartels1.   

Abstract

Wellbeing (WB) is a major topic of research across several scientific disciplines, partly driven by its strong association with psychological and mental health. Twin-family studies have found that both genotype and environment play an important role in explaining the variance in WB. Epigenetic mechanisms, such as DNA methylation, regulate gene expression, and may mediate genetic and environmental effects on WB. Here, for the first time, we apply an epigenome-wide association study (EWAS) approach to identify differentially methylated sites associated with individual differences in WB. Subjects were part of the longitudinal survey studies of the Netherlands Twin Register (NTR) and participated in the NTR biobank project between 2002 and 2011. WB was assessed by a short inventory that measures satisfaction with life (SAT). DNA methylation was measured in whole blood by the Illumina Infinium HumanMethylation450 BeadChip (HM450k array) and the association between WB and DNA methylation level was tested at 411,169 autosomal sites. Two sites (cg10845147, p = 1.51 * 10(-8) and cg01940273, p = 2.34 * 10(-8)) reached genome-wide significance following Bonferonni correction. Four more sites (cg03329539, p = 2.76* 10(-7); cg09716613, p = 3.23 * 10(-7); cg04387347, p = 3.95 * 10(-7); and cg02290168, p = 5.23 * 10(-7)) were considered to be genome-wide significant when applying the widely used criterion of a FDR q value < 0.05. Gene ontology (GO) analysis highlighted enrichment of several central nervous system categories among higher-ranking methylation sites. Overall, these results provide a first insight into the epigenetic mechanisms associated with WB and lay the foundations for future work aiming to unravel the biological mechanisms underlying a complex trait like WB.

Entities:  

Keywords:  450k; DNA methylation; EWAS; epigenetics; satisfaction with life; twins; wellbeing

Mesh:

Year:  2015        PMID: 26619905     DOI: 10.1017/thg.2015.85

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  5 in total

1.  ZFPM1 Necessary for Development of Serotonergic Projections Related to Anxiety and Contextual Fear Learning.

Authors:  Masakazu Taira; Miles J Desforges
Journal:  J Neurosci       Date:  2021-05-05       Impact factor: 6.167

2.  DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.

Authors:  Athina Vidaki; David Ballard; Anastasia Aliferi; Thomas H Miller; Leon P Barron; Denise Syndercombe Court
Journal:  Forensic Sci Int Genet       Date:  2017-02-28       Impact factor: 4.882

3.  DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort.

Authors:  Torkjel Manning Sandanger; Therese Haugdahl Nøst; Florence Guida; Charlotta Rylander; Gianluca Campanella; David C Muller; Jenny van Dongen; Dorret I Boomsma; Mattias Johansson; Paolo Vineis; Roel Vermeulen; Eiliv Lund; Marc Chadeau-Hyam
Journal:  Sci Rep       Date:  2018-11-13       Impact factor: 4.379

4.  Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality.

Authors:  Xinyu Zhang; Ying Hu; Bradley E Aouizerat; Gang Peng; Vincent C Marconi; Michael J Corley; Todd Hulgan; Kendall J Bryant; Hongyu Zhao; John H Krystal; Amy C Justice; Ke Xu
Journal:  Clin Epigenetics       Date:  2018-12-13       Impact factor: 6.551

Review 5.  Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health.

Authors:  Esther Walton; Caroline L Relton; Doretta Caramaschi
Journal:  Genes (Basel)       Date:  2019-03-01       Impact factor: 4.096

  5 in total

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