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      An epigenetic score for BMI based on DNA methylation correlates with poor physical health and major disease in the Lothian Birth Cohort

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          Abstract

          Background

          The relationship between obesity and adverse health is well established, but little is known about the contribution of DNA methylation to obesity-related health outcomes. This study tests associations between an epigenetic score for body mass index (BMI) and health-related, cognitive, psychosocial and lifestyle outcomes in the Lothian Birth Cohort 1936. This study also tests whether these associations are independent of phenotypic BMI.

          Method

          Analyses were conducted using data from the Lothian Birth Cohort 1936 ( n = 892). Weights for the epigenetic BMI score were derived using penalised regression on methylation data from unrelated Generation Scotland participants ( n = 2562). Associations were tested for replication in an independent sample: the Lothian Birth Cohort 1921 ( n = 433).

          Results

          A higher epigenetic BMI score was associated with higher BMI ( R 2 = 0.1), greater body weight ( R 2 = 0.06), greater time taken to walk 6 m, poorer lung function and poorer general physical health (all R 2 = 0.02), greater levels of triglycerides ( R 2 = 0.09), greater %total HbA1c ( R 2 = 0.06), lower levels of high-density lipoprotein cholesterol (HDL;  R 2 = 0.08), higher HDL ratio (HDL/total cholesterol; R 2 = 0.03), lower health-related quality of life, physical inactivity, and greater social deprivation (all  R 2 = 0.02). The epigenetic BMI score (per SD) was also associated with type 2 diabetes (OR 2.17, 95% CI 1.67, 2.84), cardiovascular disease (OR 1.45, 95% CI 1.24, 1.71) and high blood pressure (OR 1.30, 95% CI 1.13, 1.49; all p < 0.00026 after Bonferroni correction). Associations were replicated for BMI ( R 2 = 0.06), body weight ( R 2 = 0.04), health-related quality of life ( R 2 = 0.02), HbA1c ( R 2 = 0.07) and triglycerides ( R 2 = 0.07; all p < 0.0045 after Bonferroni correction).

          Conclusions

          We observed and replicated associations between an epigenetic score for BMI and variables related to poor physical health and metabolic syndrome. Regression models with both epigenetic and phenotypic BMI scores as predictors accounted for a greater proportion of variance in all outcome variables than either predictor alone, demonstrating independent and additive effects of epigenetic and phenotypic BMI scores.

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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

          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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            Association of Body Mass Index with DNA Methylation and Gene Expression in Blood Cells and Relations to Cardiometabolic Disease: A Mendelian Randomization Approach

            Background The link between DNA methylation, obesity, and adiposity-related diseases in the general population remains uncertain. Methods and Findings We conducted an association study of body mass index (BMI) and differential methylation for over 400,000 CpGs assayed by microarray in whole-blood-derived DNA from 3,743 participants in the Framingham Heart Study and the Lothian Birth Cohorts, with independent replication in three external cohorts of 4,055 participants. We examined variations in whole blood gene expression and conducted Mendelian randomization analyses to investigate the functional and clinical relevance of the findings. We identified novel and previously reported BMI-related differential methylation at 83 CpGs that replicated across cohorts; BMI-related differential methylation was associated with concurrent changes in the expression of genes in lipid metabolism pathways. Genetic instrumental variable analysis of alterations in methylation at one of the 83 replicated CpGs, cg11024682 (intronic to sterol regulatory element binding transcription factor 1 [SREBF1]), demonstrated links to BMI, adiposity-related traits, and coronary artery disease. Independent genetic instruments for expression of SREBF1 supported the findings linking methylation to adiposity and cardiometabolic disease. Methylation at a substantial proportion (16 of 83) of the identified loci was found to be secondary to differences in BMI. However, the cross-sectional nature of the data limits definitive causal determination. Conclusions We present robust associations of BMI with differential DNA methylation at numerous loci in blood cells. BMI-related DNA methylation and gene expression provide mechanistic insights into the relationship between DNA methylation, obesity, and adiposity-related diseases.
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              Statistical approaches for assessing the relative validity of a food-frequency questionnaire: use of correlation coefficients and the kappa statistic.

              To compare different statistical methods for assessing the relative validity of a self-administered, 150-item, semi-quantitative food-frequency questionnaire (FFQ) with 4-day weighed diet records (WR). Subjects completed the Scottish Collaborative Group FFQ and carried out a 4-day WR. Relative agreement between the FFQ and WR for energy-adjusted nutrient intakes was assessed by Pearson and Spearman rank correlation coefficients, the percentages of subjects classified into the same and opposite thirds of intake, and Cohen's weighted kappa. Forty-one men, mean age 36 (range 21-56) years, and 40 women, mean age 33 (range 19-58) years, recruited from different locations in Aberdeen, Scotland. Spearman correlation coefficients tended to be lower than Pearson correlation coefficients, and were above 0.5 for 10 of the 27 nutrients in men and 17 of the 27 nutrients in women. For nutrients with Spearman correlation coefficients above 0.5, the percentage of subjects correctly classified into thirds ranged from 39 to 78%, and weighted kappa values ranged from 0.23 to 0.66. Both Spearman correlation coefficients and weighted kappa values are useful in assessing the relative validity of estimates of nutrient intake by FFQs. Spearman correlation coefficients above 0.5, more than 50% of subjects correctly classified and less than 10% of subjects grossly misclassified into thirds, and weighted kappa values above 0.4 are recommended for nutrients of interest in epidemiological studies.
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                Author and article information

                Contributors
                Riccardo.Marioni@ed.ac.uk
                Journal
                Int J Obes (Lond)
                Int J Obes (Lond)
                International Journal of Obesity (2005)
                Nature Publishing Group UK (London )
                0307-0565
                1476-5497
                6 March 2019
                6 March 2019
                2019
                : 43
                : 9
                : 1795-1802
                Affiliations
                [1 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Centre for Cognitive Ageing and Cognitive Epidemiology, , University of Edinburgh, ; Edinburgh, EH8 9JZ UK
                [2 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Centre for Clinical Brain Sciences, , University of Edinburgh, ; Edinburgh, EH16 4SB UK
                [3 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Institute for Molecular Bioscience, , University of Queensland, ; Brisbane, QLD Australia
                [4 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Queensland Brain Institute, , University of Queensland, ; Brisbane, QLD Australia
                [5 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, , University of Edinburgh, ; Edinburgh, EH4 2XU UK
                [6 ]ISNI 0000 0004 1936 7291, GRID grid.7107.1, Aberdeen Biomedical Imaging Centre, Lilian Sutton Building, , University of Aberdeen, Foresterhill, ; Aberdeen, AB25 2ZD UK
                [7 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Division of Psychiatry, , University of Edinburgh, Royal Edinburgh Hospital, ; Edinburgh, EH10 5HF UK
                [8 ]ISNI 0000 0004 1936 7988, GRID grid.4305.2, Department of Psychology, , University of Edinburgh, ; Edinburgh, Scotland UK
                Author information
                http://orcid.org/0000-0002-5874-0058
                http://orcid.org/0000-0003-0198-5078
                http://orcid.org/0000-0002-0198-4588
                Article
                262
                10.1038/s41366-018-0262-3
                6760607
                30842548
                57c400a3-8a7c-4fa1-85db-c927acf11acf
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 May 2018
                : 9 October 2018
                : 14 October 2018
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2019

                Nutrition & Dietetics
                genetics,cardiovascular diseases,risk factors
                Nutrition & Dietetics
                genetics, cardiovascular diseases, risk factors

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