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Abstract
There is a robust observational relationship between lower birthweight and higher risk of cardiometabolic disease in later life. The Developmental Origins of Health and Disease (DOHaD) hypothesis posits that adverse environmental factors in utero increase future risk of cardiometabolic disease. Here, we explore if a genetic risk score (GRS) of maternal SNPs associated with offspring birthweight is also associated with offspring cardiometabolic risk factors, after controlling for offspring GRS, in up to 26,057 mother–offspring pairs (and 19,792 father–offspring pairs) from the Nord-Trøndelag Health (HUNT) Study. We find little evidence for a maternal (or paternal) genetic effect of birthweight associated variants on offspring cardiometabolic risk factors after adjusting for offspring GRS. In contrast, offspring GRS is strongly related to many cardiometabolic risk factors, even after conditioning on maternal GRS. Our results suggest that the maternal intrauterine environment, as proxied by maternal SNPs that influence offspring birthweight, is unlikely to be a major determinant of adverse cardiometabolic outcomes in population based samples of individuals.
Observationally, lower birthweight is a risk factor for cardiometabolic disease. Using Mendelian Randomization, the authors investigate whether maternal genetic factors that lower offspring birthweight also increase offspring cardiometabolic risk and show that the observational correlation is unlikely to be due to the intrauterine environment.
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1 Faculty of Medicine, University of Oslo, Institute of Clinical Medicine, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); The University of Queensland, The University of Queensland Diamantina Institute, Woolloongabba, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393); University of Bristol, Population Health Science, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)
2 NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393); St. Olavs Hospital, Trondheim University Hospital, Department of Thoracic and Occupational Medicine, Trondheim, Norway (GRID:grid.52522.32) (ISNI:0000 0004 0627 3560); Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)
3 University of Michigan, Department of Biostatistics and Center for Statistical Genetics, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370); University of Michigan, Department of Internal Medicine, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370); University of Michigan, Department of Human Genetics, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370)
4 NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393); St. Olavs Hospital, Trondheim University Hospital, Department of Endocrinology, Trondheim, Norway (GRID:grid.52522.32) (ISNI:0000 0004 0627 3560)
5 Faculty of Medicine, University of Oslo, Institute of Clinical Medicine, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921)
6 The University of Queensland, The University of Queensland Diamantina Institute, Woolloongabba, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537)
7 Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Department of Psychiatry, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737)
8 College of Medicine and Health, University of Exeter, Institute of Biomedical and Clinical Science, Exeter, UK (GRID:grid.8391.3) (ISNI:0000 0004 1936 8024)
9 University of Bristol, Population Health Science, Bristol Medical School, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603); Bristol NIHR Biomedical Research Centre, Bristol, UK (GRID:grid.5337.2)
10 The University of Queensland, The University of Queensland Diamantina Institute, Woolloongabba, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); NTNU, Norwegian University of Science and Technology, K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393); Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)
11 The University of Queensland, The University of Queensland Diamantina Institute, Woolloongabba, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)