Epigenetic prediction of complex traits and death View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Daniel L. McCartney, Robert F. Hillary, Anna J. Stevenson, Stuart J. Ritchie, Rosie M. Walker, Qian Zhang, Stewart W. Morris, Mairead L. Bermingham, Archie Campbell, Alison D. Murray, Heather C. Whalley, Catharine R. Gale, David J. Porteous, Chris S. Haley, Allan F. McRae, Naomi R. Wray, Peter M. Visscher, Andrew M. McIntosh, Kathryn L. Evans, Ian J. Deary, Riccardo E. Marioni

ABSTRACT

BACKGROUND: Genome-wide DNA methylation (DNAm) profiling has allowed for the development of molecular predictors for a multitude of traits and diseases. Such predictors may be more accurate than the self-reported phenotypes and could have clinical applications. RESULTS: Here, penalized regression models are used to develop DNAm predictors for ten modifiable health and lifestyle factors in a cohort of 5087 individuals. Using an independent test cohort comprising 895 individuals, the proportion of phenotypic variance explained in each trait is examined for DNAm-based and genetic predictors. Receiver operator characteristic curves are generated to investigate the predictive performance of DNAm-based predictors, using dichotomized phenotypes. The relationship between DNAm scores and all-cause mortality (n = 212 events) is assessed via Cox proportional hazards models. DNAm predictors for smoking, alcohol, education, and waist-to-hip ratio are shown to predict mortality in multivariate models. The predictors show moderate discrimination of obesity, alcohol consumption, and HDL cholesterol. There is excellent discrimination of current smoking status, poorer discrimination of college-educated individuals and those with high total cholesterol, LDL with remnant cholesterol, and total:HDL cholesterol ratios. CONCLUSIONS: DNAm predictors correlate with lifestyle factors that are associated with health and mortality. They may supplement DNAm-based predictors of age to identify the lifestyle profiles of individuals and predict disease risk. More... »

PAGES

136

References to SciGraph publications

  • 2011-12. pROC: an open-source package for R and S+ to analyze and compare ROC curves in BMC BIOINFORMATICS
  • 2010-05. Genome-wide meta-analyses identify multiple loci associated with smoking behavior in NATURE GENETICS
  • 2013-11. Discovery and refinement of loci associated with lipid levels in NATURE GENETICS
  • 2018-02. A DNA methylation biomarker of alcohol consumption in MOLECULAR PSYCHIATRY
  • 2017-01. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity in NATURE
  • 2016-05. Genome-wide association study identifies 74 loci associated with educational attainment in NATURE
  • 2016-12. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk in NATURE COMMUNICATIONS
  • 2017-12. An epigenome-wide association study meta-analysis of educational attainment in MOLECULAR PSYCHIATRY
  • 2016-12. DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases in GENOME BIOLOGY
  • 2017-12. Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study in CLINICAL EPIGENETICS
  • 2015-12. Tobacco smoking and all-cause mortality in a large Australian cohort study: findings from a mature epidemic with current low smoking prevalence in BMC MEDICINE
  • 2015-02. New genetic loci link adipose and insulin biology to body fat distribution in NATURE
  • 2003-03. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals in NATURE GENETICS
  • 2006-12. Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability in BMC MEDICAL GENETICS
  • 2016-12. Smoking-associated DNA methylation markers predict lung cancer incidence in CLINICAL EPIGENETICS
  • 2017-10. Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117) in MOLECULAR PSYCHIATRY
  • 2013-10. DNA methylation age of human tissues and cell types in GENOME BIOLOGY
  • 2014-04. Cumulative Childhood Adversity, Educational Attainment, and Active Life Expectancy Among U.S. Adults in DEMOGRAPHY
  • 2015-12. Recent genomic heritage in Scotland in BMC GENOMICS
  • 2015-02. Genetic studies of body mass index yield new insights for obesity biology in NATURE
  • 2012-08. The Significance of Education for Mortality Compression in the United States in DEMOGRAPHY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13059-018-1514-1

    DOI

    http://dx.doi.org/10.1186/s13059-018-1514-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107112001

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30257690


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