Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
QIMR Home Page
GenEpi Home Page
About GenEpi
Publications
Contacts
Research
Staff Index
Collaborators
Software Tools
Computing Resources
Studies
Search
GenEpi Intranet
PMID
25249537
TITLE
Genetic and environmental exposures constrain epigenetic drift over the human life course.
ABSTRACT
Epigenetic mechanisms such as DNA methylation (DNAm) are essential for regulation of gene expression. DNAm is dynamic, influenced by both environmental and genetic factors. Epigenetic drift is the divergence of the epigenome as a function of age due to stochastic changes in methylation. Here we show that epigenetic drift may be constrained at many CpGs across the human genome by DNA sequence variation and by lifetime environmental exposures. We estimate repeatability of DNAm at 234,811 autosomal CpGs in whole blood using longitudinal data (2-3 repeated measurements) on 478 older people from two Scottish birth cohorts--the Lothian Birth Cohorts of 1921 and 1936. Median age was 79 yr and 70 yr, and the follow-up period was ∼10 yr and ∼6 yr, respectively. We compare this to methylation heritability estimated in the Brisbane Systems Genomics Study, a cross-sectional study of 117 families (offspring median age 13 yr; parent median age 46 yr). CpG repeatability in older people was highly correlated (0.68) with heritability estimated in younger people. Highly heritable sites had strong underlying cis-genetic effects. Thirty-seven and 1687 autosomal CpGs were associated with smoking and sex, respectively. Both sets were strongly enriched for high repeatability. Sex-associated CpGs were also strongly enriched for high heritability. Our results show that a large number of CpGs across the genome, as a result of environmental and/or genetic constraints, have stable DNAm variation over the human lifetime. Moreover, at a number of CpGs, most variation in the population is due to genetic factors, despite some sites being highly modifiable by the environment.
© 2014 Shah et al.; Published by Cold Spring Harbor Laboratory Press.
DATE PUBLISHED
2014 Nov
HISTORY
PUBSTATUS PUBSTATUSDATE
aheadofprint 2014/09/23
entrez 2014/09/25 06:00
pubmed 2014/09/25 06:00
medline 2015/07/21 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Shah S Shah Sonia S Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia;
McRae AF McRae Allan F AF Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia;
Marioni RE Marioni Riccardo E RE Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia; Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Harris SE Harris Sarah E SE Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Gibson J Gibson Jude J Wellcome Trust Clinical Research Facility, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, United Kingdom;
Henders AK Henders Anjali K AK QIMR Berghofer Medical Research Institute, Brisbane, 4029, Queensland, Australia;
Redmond P Redmond Paul P Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Cox SR Cox Simon R SR Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom; Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Pattie A Pattie Alison A Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Corley J Corley Janie J Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Murphy L Murphy Lee L Wellcome Trust Clinical Research Facility, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, United Kingdom;
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute, Brisbane, 4029, Queensland, Australia;
Montgomery GW Montgomery Grant W GW QIMR Berghofer Medical Research Institute, Brisbane, 4029, Queensland, Australia;
Starr JM Starr John M JM Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Wray NR Wray Naomi R NR Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia;
Deary IJ Deary Ian J IJ Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom; Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom;
Visscher PM Visscher Peter M PM Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom; University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia peter.visscher@uq.edu.au.
INVESTIGATORS
JOURNAL
VOLUME: 24
ISSUE: 11
TITLE: Genome research
ISOABBREVIATION: Genome Res.
YEAR: 2014
MONTH: Nov
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1549-5469
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Genome Res
COUNTRY: United States
ISSNLINKING: 1088-9051
NLMUNIQUEID: 9518021
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
Cites Nature. 1993 Nov 25;366(6453):362-5 8247133
Cites Genome Biol. 2011;12(1):R10 21251332
Cites Proc Natl Acad Sci U S A. 1997 Mar 18;94(6):2545-50 9122232
Cites Cell. 1998 May 1;93(3):305-8 9590161
Cites Proc Natl Acad Sci U S A. 1999 Mar 30;96(7):3969-74 10097147
Cites Proc Natl Acad Sci U S A. 2005 Jul 26;102(30):10604-9 16009939
Cites Nat Rev Genet. 2007 Apr;8(4):253-62 17363974
Cites BMC Geriatr. 2007;7:28 18053258
Cites JAMA. 2008 Jun 25;299(24):2877-83 18577732
Cites Nat Genet. 2008 Jul;40(7):904-8 18568024
Cites Cell Stem Cell. 2009 Oct 2;5(4):442-9 19796624
Cites Nat Genet. 2009 Nov;41(11):1207-15 19801979
Cites Am J Hum Genet. 2009 Nov;85(5):750-5 19896111
Cites PLoS Genet. 2010 May;6(5):e1000952 20485568
Cites FASEB J. 2010 Sep;24(9):3135-44 20385621
Cites Adv Genet. 2010;71:3-39 20933124
Cites Nature. 2010 Oct 28;467(7319):1061-73 20981092
Cites Epigenomics. 2011 Jun;3(3):267-77 22122337
Cites Nat Genet. 2012 Jan;44(1):23-31 22138693
Cites PLoS Genet. 2012;8(4):e1002629 22532803
Cites PLoS One. 2012;7(4):e35430 22563384
Cites Epigenetics. 2012 Jan 1;7(1):63-70 22207354
Cites Nat Genet. 2012 Aug;44(8):955-9 22820512
Cites PLoS One. 2012;7(7):e41361 22848472
Cites Genome Res. 2012 Aug;22(8):1395-406 22800725
Cites Am J Hum Genet. 2012 Aug 10;91(2):238-51 22883141
Cites Nat Genet. 2012 Oct;44(10):1084-9 22941192
Cites Environ Health Perspect. 2012 Oct;120(10):1425-31 22851337
Cites BMC Bioinformatics. 2012;13:86 22568884
Cites Int J Epidemiol. 2012 Dec;41(6):1576-84 22253310
Cites Mol Cell. 2013 Jan 24;49(2):359-67 23177740
Cites Hum Mol Genet. 2013 Mar 1;22(5):843-51 23175441
Cites PLoS One. 2013;8(5):e63812 23691101
Cites Am J Hum Genet. 2013 Nov 7;93(5):876-90 24183450
Cites Hum Mol Genet. 2014 Mar 1;23(5):1186-201 24163245
Cites Genome Biol. 2013;14(10):R115 24138928
Cites Bioinformatics. 2014 May 15;30(10):1363-9 24478339
Cites Genome Biol. 2014;15(5):R73 24887635
Cites Am J Hum Genet. 2000 Jan;66(1):279-92 10631157
Cites Mol Cell Biol. 2001 Apr;21(8):2906-17 11283268
Cites Nat Genet. 2002 Jan;30(1):97-101 11731797
Cites J Pers Soc Psychol. 2004 Jan;86(1):130-47 14717632
Cites Nucleic Acids Res. 1988 Feb 11;16(3):1215 3344216
Cites Cell. 1992 Jun 12;69(6):915-26 1606615
Cites BMC Bioinformatics. 2010;11:587 21118553
Cites Epigenetics. 2010 Aug 16;5(6):516-26 20505345
Cites PLoS One. 2011;6(6):e14821 21731603
Cites Nat Genet. 1996 Feb;12(2):205-8 8563762
GRANTS
GRANTID AGENCY COUNTRY
BB/F019394/1 Biotechnology and Biological Sciences Research Council United Kingdom
CZB/4/505 Chief Scientist Office United Kingdom
ETM/55 Chief Scientist Office United Kingdom
MR/K026992/1 Medical Research Council United Kingdom
Biotechnology and Biological Sciences Research Council United Kingdom
Chief Scientist Office United Kingdom
Medical Research Council United Kingdom
Wellcome Trust United Kingdom
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Child
Cohort Studies
CpG Islands genetics
Cross-Sectional Studies genetics
DNA Methylation genetics
Family Health genetics
Female genetics
Gene-Environment Interaction genetics
Genetics, Population methods
Genome, Human genetics
Humans genetics
Inheritance Patterns genetics
Male genetics
Middle Aged genetics
Models, Genetic genetics
Polymorphism, Single Nucleotide genetics
Sex Factors genetics
Smoking genetics
Young Adult genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
PMC4216914 NLM