Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts.

Journal: International journal of obesity (2005)

Volume: 46

Issue: 10

Year of Publication: 2022

Affiliated Institutions:  Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland. karri.silventoinen@helsinki.fi. Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland. Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country, Leioa, Spain. Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland. Department of Public Health Nursing, Osaka Metropolitan University, Osaka, Japan. Institute for Molecular Medicine Finland FIMM, Helsinki, Finland. Faculty of Human Studies, Shirayuri University, Tokyo, Japan. Center for Forensic Mental Health, Chiba University, Chiba, Japan. Institute for Education and Human Development, Ochanomizu University, Tokyo, Japan. Department of Psychology, University of Southern California, Los Angeles, CA, USA. Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden. The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University School of Medicine, Geelong, Australia. Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia. Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, Amsterdam, Netherlands. Genetic Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia. Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Department of Psychology, University of Minnesota, Minneapolis, MN, USA. Department of Psychology, University of California, Riverside, Riverside, CA, , USA. The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark Odense, Odense, Denmark. Department of Clinical Research, University of Southern Denmark, Odense, Denmark. Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada. École de psychologie, Université Laval, Québec, Canada. Département de psychologie, Université du Québec à Montréal, Montréal, Québec, Canada. École de psychoéducation, Université de Montréal, Montréal, Québec, Canada. Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden. Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA. Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA. The Hebrew University of Jerusalem, Jerusalem, Israel. Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel. School of Psychological Science, University of Bristol, Bristol, UK. Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau. Department of Endocrinology, Odense University Hospital, Odense, Denmark. Department of Infectious Diseases, Odense University Hospital, Odense, Denmark. Washington State Twin Registry, Washington State University - Health Sciences Spokane, Spokane, WA, USA. Department of Psychology, Michigan State University, East Lansing, Michigan, USA. Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK. Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. Department of Public Health, University of Helsinki, Helsinki, Finland.

Abstract summary 

Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height.We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age.The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood.Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity.

Authors & Co-authors:  Silventoinen Karri K Li Weilong W Jelenkovic Aline A Sund Reijo R Yokoyama Yoshie Y Aaltonen Sari S Piirtola Maarit M Sugawara Masumi M Tanaka Mami M Matsumoto Satoko S Baker Laura A LA Tuvblad Catherine C Tynelius Per P Rasmussen Finn F Craig Jeffrey M JM Saffery Richard R Willemsen Gonneke G Bartels Meike M van Beijsterveldt Catharina E M CEM Martin Nicholas G NG Medland Sarah E SE Montgomery Grant W GW Lichtenstein Paul P Krueger Robert F RF McGue Matt M Pahlen Shandell S Christensen Kaare K Skytthe Axel A Kyvik Kirsten O KO Saudino Kimberly J KJ Dubois Lise L Boivin Michel M Brendgen Mara M Dionne Ginette G Vitaro Frank F Ullemar Vilhelmina V Almqvist Catarina C Magnusson Patrik K E PKE Corley Robin P RP Huibregtse Brooke M BM Knafo-Noam Ariel A Mankuta David D Abramson Lior L Haworth Claire M A CMA Plomin Robert R Bjerregaard-Andersen Morten M Beck-Nielsen Henning H Sodemann Morten M Duncan Glen E GE Buchwald Dedra D Burt S Alexandra SA Klump Kelly L KL Llewellyn Clare H CH Fisher Abigail A Boomsma Dorret I DI Sørensen Thorkild I A TIA Kaprio Jaakko J

Study Outcome 

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Statistics
Citations :  GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1659–724.
Authors :  57
Identifiers
Doi : 10.1038/s41366-022-01202-3
SSN : 1476-5497
Study Population
Male,Female
Mesh Terms
Adolescent
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
England