Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

Dorret I. Boomsma, for the BIOS Consortium, for the GLOBAL Meth QTL Consortium

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

BACKGROUND: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health.

METHODS: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n = 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult smoking. DNA methylation levels were analysed in relation to body mass index (BMI), waist circumference (WC), fasting glucose (FG), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), diastolic, and systolic blood pressure (BP).

FINDINGS: Lower DNA methylation at three out of eight GFI1-CpGs was associated with exposure to maternal prenatal smoking, whereas, all eight CpGs were associated with adult own smoking. Lower DNA methylation at cg14179389, the strongest maternal prenatal smoking locus, was associated with increased WC and BP when adjusted for sex, age, and adult smoking with Bonferroni-corrected P < 0·012. In contrast, lower DNA methylation at cg09935388, the strongest adult own smoking locus, was associated with decreased BMI, WC, and BP (adjusted 1 × 10-7 < P < 0.01). Similarly, lower DNA methylation at cg12876356, cg18316974, cg09662411, and cg18146737 was associated with decreased BMI and WC (5 × 10-8 < P < 0.001). Lower DNA methylation at all the CpGs was consistently associated with higher TG levels.

INTERPRETATION: Epigenetic changes at the GFI1 were linked to smoking exposure in-utero/in-adulthood and robustly associated with cardio-metabolic risk factors. FUND: European Union's Horizon 2020 research and innovation programme under grant agreement no. 633595 DynaHEALTH.

Original languageEnglish
Pages (from-to)206-216
Number of pages11
JournalEbiomedicine
Volume38
Early online date13 Nov 2018
DOIs
Publication statusPublished - Dec 2018

Funding

The UK Medical Research Council and Wellcome (grant number 102215/2/13/2) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and Matthew Suderman will serve as guarantor for the ALSPAC-related contents of this paper. Analysis of the ALSPAC data was funded by UK Economic & Social Research Council grant (grant number ES/N000498/1). ARIES was funded by the BBSRC (BBI025751/1 and BB/I025263/ 1). Supplementary funding to generate DNA methylation data which are (or will be) included in ARIES has been obtained from the MRC, ESRC, NIH and other sources. ARIES is maintained under the auspices of the MRC Integrative Epidemiology Unit at the University of Bristol (grant numbers MC_UU_12013/2, MC_UU_12013/8 and MC_UU_12013/9). Matthew Suderman was supported by the BBSRC and ESRC (grant number ES/N000498/1). BHS The study is supported by grant 2R01AG016592 from the National Institute on Aging. Shengxu Li was partly supportly by grant 13SDG14650068 from the American Heart Association. NTR, LLS, CODAM and PAN were supported from the Netherlands Cardiovascular Research Initiative (the Dutch Heart Foundation, Dutch Federation of University Medical Centres, the Netherlands Organization for Health Research and Development, and the Royal Netherlands Academy of Sciences) for the GENIUS project “Generating the best evidence-based pharmaceutical targets for atherosclerosis” (CVON2011–19). This work was performed within the framework of the Biobank-Based Integrative Omics Studies (BIOS) Consortium funded by BBMRI-NL, a research infrastructure financed by the Dutch government (NWO 184.021.007). EGCUT was supported by the Estonian Research Council Grants PRG184, PUT1665, IUT20-60, EU H2020 grant ePerMed (Grant No. 692145), and European Union through the European Regional Development Fund (Project No. 2014–2020.4.01.15–0012). Lili Milani was supported by Uppsala University Strategic Research Grant as part of the Science for Life Laboratory fellowship program. EPICOR was supported by the Compagnia di San Paolo for the EPIC-Italy and EPICOR projects, the Italian Institute for Genomic Medicine (IIGM, formerly Human Genetics Foundation-Torino, HuGeF, Turin, Italy) and the MIUR ex60% grant. EPIC-Italy is further supported by a grant from the “Associazione Italiana per la Ricerca sul Cancro” (AIRC, Milan). The EPICOR study was also supported by a MIUR grant to the Department of Medical Sciences, project “Dipartimenti di Eccellenza 2018 – 2022”. The ESTHER study was supported by the Baden-Württemberg State Ministry of Science, Research and Arts (Stuttgart, Germany), the Federal Ministry of Education and Research (Berlin, Germany), and the Federal Ministry of Family Affairs, Senior Citizens, Women and Youth (Berlin, Germany). The KORA study was initiated and financed by the Helmholtz Zentrum München – German Research Centre for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. Furthermore, KORA research has been supported within the Munich Centre of Health Sciences (MC-Health), Ludwig-Maximilians-Universität, as part of LMUinnovativ. The research leading to these results has received funding from the European Union Seventh Framework Program under grant agreement [n°602736] (Multi-dimensional omics approach to stratification of patients with low back pain - PAIN-OMICS; http://www.painomics.eu /) and under grant agreement [n°603288] (Systems Biology to Identify Molecular Targets for Vascular Disease Treatment – SysVasc; http://www.sysvasc.eu /). This work was further supported by a grant (WA 4081/1–1) from the German Research Foundation. N. Verweij was supported by NWO VENI (016.186.125). L. Franke is supported by ZonMW-VIDI 917.14.374 and ERC Starting Grant, grant agreement 637640 (ImmRisk). The LOLIPOP study is supported by the National Institute for Health Research (NIHR) Comprehensive Biomedical Research Centre Imperial College Healthcare NHS Trust, the British Heart Foundation (SP/04/002), the Medical Research Council (G0601966, G0700931), the Wellcome Trust (084723/Z/08/Z, 090532 & 098381) the NIHR (RP-PG-0407-10371), the NIHR Official Development Assistance (ODA, award 16/136/68), the European Union FP7 (EpiMigrant, 279143) and H2020 programs (iHealth-T2D, 643774). John Chambers is supported by Singapore Ministry of Health's National Medical Research Council under its Singapore Translational Research Investigator (STaR) Award (NMRC/STaR/0028/2017). NFBC1966 received financial support from University of Oulu Grant no. 65354, Oulu University Hospital Grant no. 2/97, 8/97, Ministry of Health and Social Affairs Grant no. 23/251/97, 160/97, 190/97, National Institute for Health and Welfare, Helsinki Grant no. 54121, Regional Institute of Occupational Health, Oulu, Finland Grant no. 50621, 54231. NFBC1986 received financial support from EU QLG1-CT-2000-01643 (EUROBLCS) Grant no. E51560, NorFA Grant no. 731, 20056, 30167, USA / NIHH 2000 G DF682 Grant no. 50945. MRC no: MR/M013138/1, ERDF European Regional Development Fund Grant no. 539/2010 A31592. Matthias Wielscher was supported by the European Union's Horizon 2020 research and innovation program under grant agreement No 633212. Priyanka Parmar, Sylvain Sebert and Marjo-Riitta Jarvelin received support by H2020–633595 DynaHEALTH, H2020 733206 LifeCycle, the academy of Finland EGEA-project (285547) and the Biocenter Oulu. The authors acknowledge the contributions to core funding of the Raine Study by the University of Western Australia, the Telethon Kids Institute, the Raine Medical Research Foundation, the Faculty of Medicine, Dentistry and Health Science (UWA), the Women and Infants Research Foundation, Curtin University, and Edith Cowan University. The authors also acknowledge the long-term support of the National Health and Medical Research Council of Australia (NHMRC). The epigenetic data collection is supported by NHMRC grant #1059711. Rae-Chi Huang and Trevor A Mori are supported by NHMRC Research Fellowships #1053384 and #1042255, respectively. The Rotterdam Study is funded by Erasmus Medical Centre and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The EWAS data was funded by the Genetic Laboratory of the Department of Internal Medicine, Erasmus Medical Centre, and by the Netherlands Organization for Scientific Research (NWO; project no. 184021007) and made available as a Rainbow Project (RP3; BIOS) of the Bio banking and Biomolecular Research Infrastructure Netherlands (BBMRI-NL). SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania, and the network ‘Greifswald Approach to Individualized Medicine (GANI_MED)’ funded by the Federal Ministry of Education and Research (grant 03IS2061A). DNA methylation data have been supported by the DZHK (grant 81 × 34000104). The University of Greifswald is a member of the Caché Campus program of the InterSystems GmbH. The YFS has been financially supported by the Academy of Finland: grants 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi); the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research; Finnish Cultural Foundation; The Sigrid Juselius Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; Diabetes Research Foundation of Finnish Diabetes Association; and EU Horizon 2020 (grant 755320 for TAXINOMISIS); and European Research Council (grant 742927 for MULTIEPIGEN project); Tampere University Hospital Supporting Foundation. The funding bodies had no role in the study design, data collection, data analysis, data interpretation, or writing of the report. PP, MRJ and SS had full access to all the data in the study and had final responsibility for the decision to submit for publication.

FundersFunder number
Horizon 2020 Framework Programme692145, 633595
Seventh Framework Programme602736, 279143, 603288
Medical Research CouncilG0601966, MR/M013138/1, G0700931
Biotechnology and Biological Sciences Research CouncilBB/I025263/1
Economic and Social Research CouncilES/N000498/1

    Cohort Studies

    • Netherlands Twin Register (NTR)

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