DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons

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Abstract

Depressive disorders arise from a combination of genetic and environmental risk factors. Epigenetic disruption provides a plausible mechanism through which gene-environment interactions lead to depression. Large-scale, epigenome-wide studies on depression are missing, hampering the identification of potentially modifiable biomarkers.

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The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond

Ian Deary, Alan J. Gow, Michelle Taylor … (2007)

Background Cognitive ageing is a major burden for society and a major influence in lowering people's independence and quality of life. It is the most feared aspect of ageing. There are large individual differences in age-related cognitive changes. Seeking the determinants of cognitive ageing is a research priority. A limitation of many studies is the lack of a sufficiently long period between cognitive assessments to examine determinants. Here, the aim is to examine influences on cognitive ageing between childhood and old age. Methods/Design The study is designed as a follow-up cohort study. The participants comprise surviving members of the Scottish Mental Survey of 1947 (SMS1947; N = 70,805) who reside in the Edinburgh area (Lothian) of Scotland. The SMS1947 applied a valid test of general intelligence to all children born in 1936 and attending Scottish schools in June 1947. A total of 1091 participants make up the Lothian Birth Cohort 1936. They undertook: a medical interview and examination; physical fitness testing; extensive cognitive testing (reasoning, memory, speed of information processing, and executive function); personality, quality of life and other psycho-social questionnaires; and a food frequency questionnaire. They have taken the same mental ability test (the Moray House Test No. 12) at age 11 and age 70. They provided blood samples for DNA extraction and testing and other biomarker analyses. Here we describe the background and aims of the study, the recruitment procedures and details of numbers tested, and the details of all examinations. Discussion The principal strength of this cohort is the rarely captured phenotype of lifetime cognitive change. There is additional rich information to examine the determinants of individual differences in this lifetime cognitive change. This protocol report is important in alerting other researchers to the data available in the cohort.

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The Rotterdam Study: 2018 update on objectives, design and main results

M Arfan Ikram, Guy Brusselle, Sarwa Darwish Murad … (2017)

The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.

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Depression as a disease of modernity: explanations for increasing prevalence.

Brandon Hidaka (2012)

There has been much speculation about modern environments causing an epidemic of depression. This review aims to (1) determine whether depression rates have increased and (2) review evidence for possible explanations. While available data indicate rising prevalence and an increased lifetime risk for younger cohorts, strong conclusions cannot be drawn due to conflicting results and methodological flaws. There are numerous potential explanations for changing rates of depression. Cross-cultural studies can be useful for identifying likely culprits. General and specific characteristics of modernization correlate with higher risk. A positive correlation between a country's GDP per capita, as a quantitative measure of modernization, and lifetime risk of a mood disorder trended toward significance (p=0.06). Mental and physical well-being are intimately related. The growing burden of chronic diseases, which arise from an evolutionary mismatch between past human environments and modern-day living, may be central to rising rates of depression. Declining social capital and greater inequality and loneliness are candidate mediators of a depressiogenic social milieu. Modern populations are increasingly overfed, malnourished, sedentary, sunlight-deficient, sleep-deprived, and socially-isolated. These changes in lifestyle each contribute to poor physical health and affect the incidence and treatment of depression. The review ends with a call for future research and policy interventions to address this public health crisis. Copyright © 2011 Elsevier B.V. All rights reserved.

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Author and article information

Journal

Title: JAMA Psychiatry

Abbreviated Title: JAMA Psychiatry

Publisher: American Medical Association (AMA)

ISSN (Print): 2168-622X

Publication date Created: September 01 2018

Publication date (Print): September 01 2018

Volume: 75

Issue: 9

Page: 949

Affiliations

[1 ]Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands

[2 ]Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany

[3 ]Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie des Klinikums Rechts der Isar der Technischen Universität München, Munich, Germany

[4 ]Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom

[5 ]Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom

[6 ]The Framingham Heart Study, Framingham, Massachusetts

[7 ]The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland

[8 ]Boston University School of Public Health, Boston, Massachusetts

[9 ]Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom

[10 ]Human Genetics Center, University of Texas Health Science Center at Houston

[11 ]Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle

[12 ]University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom

[13 ]Department of Epidemiology, University of North Carolina at Chapel Hill

[14 ]Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany

[15 ]Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland

[16 ]Institute for Public Health Genetics, School of Public Health, University of Washington, Seattle

[17 ]Boston University School of Medicine, Boston, Massachusetts

[18 ]Computer Science and Networking, Wentworth Institute of Technology, Boston, Massachusetts

[19 ]Department of Genetics, University of North Carolina at Chapel Hill

[20 ]Department of Biostatistics, University of North Carolina at Chapel Hill

[21 ]Department of Computer Science, University of North Carolina at Chapel Hill

[22 ]Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia

[23 ]Queensland Brain Institute, The University of Queensland, Brisbane, Australia

[24 ]Alzheimer Scotland Dementia Research Centre, Edinburgh, United Kingdom

[25 ]Centre for Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom

[26 ]Carolina Population Center, University of North Carolina at Chapel Hill

[27 ]Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands

[28 ]The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Harbor-University of California Los Angeles (UCLA) Medical Center

[29 ]Department of Medicine, University of North Carolina at Chapel Hill

[30 ]MIND Center, University of Mississippi Medical Center, Jackson

[31 ]Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom

[32 ]Department of Cardiology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts

[33 ]Feinberg School of Medicine, Northwestern University, Chicago, Illinois

[34 ]Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland

[35 ]Institute of Molecular Medicine, University of Texas Health Science Center at Houston

[36 ]Department of Environmental Health Sciences, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts

[37 ]Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands

[38 ]Department of Social and Behavioral Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts

Article

DOI: 10.1001/jamapsychiatry.2018.1725

PMC ID: 6142917

PubMed ID: 29998287

SO-VID: df19fb72-7cf1-45e0-8e17-11fb9c1ad707

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DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons : Meta-analysis of Multiethnic Epigenome-wide Studies

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Most cited references 38

The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond

The Rotterdam Study: 2018 update on objectives, design and main results

Depression as a disease of modernity: explanations for increasing prevalence.

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Cited by 31