Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
42351399
TITLE
Genetic and Environmental Effects on BMI Fluctuation Across the Adult Life Course and Its Associations With Baseline BMI and BMI Change: An Individual-Based Study of 14 Longitudinal Twin Cohorts.
ABSTRACT
INTRODUCTION NlmCategory: BACKGROUND
Body mass index (BMI) fluctuation has adverse health consequences, yet its determinants remain poorly understood. We examined genetic and environmental influences on BMI fluctuation and its associations with BMI trajectories.
DATA AND METHODS NlmCategory: METHODS
Body mass index (BMI) fluctuation has adverse health consequences, yet its determinants remain poorly understood. We examined genetic and environmental influences on BMI fluctuation and its associations with BMI trajectories. Data from 14 longitudinal twin cohorts, including 58 311 individuals (54% women) and 22 714 complete twin pairs (9761 monozygotic), were pooled. BMI trajectories from ages 18 to 99 years were estimated using linear mixed-effects models. BMI fluctuation was defined as the average squared residual between observed and expected BMI around individual trajectories. Genetic and environmental contributions to BMI fluctuation and its associations with baseline BMI and BMI change were assessed using structural equation modelling.
RESULTS NlmCategory: RESULTS
Body mass index (BMI) fluctuation has adverse health consequences, yet its determinants remain poorly understood. We examined genetic and environmental influences on BMI fluctuation and its associations with BMI trajectories. Data from 14 longitudinal twin cohorts, including 58 311 individuals (54% women) and 22 714 complete twin pairs (9761 monozygotic), were pooled. BMI trajectories from ages 18 to 99 years were estimated using linear mixed-effects models. BMI fluctuation was defined as the average squared residual between observed and expected BMI around individual trajectories. Genetic and environmental contributions to BMI fluctuation and its associations with baseline BMI and BMI change were assessed using structural equation modelling. Additive genetic effects explained a moderate proportion of variance in BMI fluctuation (a  = 0.20 in men, 0.29 in women), with the remainder attributable to unique environmental effects (e  = 0.80 and 0.71). No evidence of sex-specific genetic effects was found. Genetic contributions varied across life stages, peaking in men at ages 31-50 (a  = 0.36) and in women at 51-65 (a  = 0.36). Higher baseline BMI was associated with greater fluctuation, whereas greater directional BMI change was associated with less fluctuation. Higher BMI at ages 18-30 was associated with greater subsequent BMI fluctuation across later adulthood stages. Previous associations were driven by both genetic and unique environmental factors.
CONCLUSIONS NlmCategory: CONCLUSIONS
Body mass index (BMI) fluctuation has adverse health consequences, yet its determinants remain poorly understood. We examined genetic and environmental influences on BMI fluctuation and its associations with BMI trajectories. Data from 14 longitudinal twin cohorts, including 58 311 individuals (54% women) and 22 714 complete twin pairs (9761 monozygotic), were pooled. BMI trajectories from ages 18 to 99 years were estimated using linear mixed-effects models. BMI fluctuation was defined as the average squared residual between observed and expected BMI around individual trajectories. Genetic and environmental contributions to BMI fluctuation and its associations with baseline BMI and BMI change were assessed using structural equation modelling. Additive genetic effects explained a moderate proportion of variance in BMI fluctuation (a  = 0.20 in men, 0.29 in women), with the remainder attributable to unique environmental effects (e  = 0.80 and 0.71). No evidence of sex-specific genetic effects was found. Genetic contributions varied across life stages, peaking in men at ages 31-50 (a  = 0.36) and in women at 51-65 (a  = 0.36). Higher baseline BMI was associated with greater fluctuation, whereas greater directional BMI change was associated with less fluctuation. Higher BMI at ages 18-30 was associated with greater subsequent BMI fluctuation across later adulthood stages. Previous associations were driven by both genetic and unique environmental factors. BMI fluctuation was predominantly explained by unique environmental effects, with moderate heritability that varied across life stages with no evidence of sex-specific genetic effects. Genetic and environmental factors contribute to how BMI fluctuation is associated with BMI change.
© 2026 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.
DATE PUBLISHED
2026 Sep
HISTORY
PUBSTATUS PUBSTATUSDATE
revised 2026/05/29
received 2026/04/02
accepted 2026/06/16
medline 2026/08/07 12:39
pubmed 2026/06/26 06:39
entrez 2026/06/26 00:52
pmc-release 2026/08/07
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Obeso Fernandez A Obeso Fernandez Alvaro A Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Eriksson A Eriksson Anders A cGEM, Institute of Genomics, University of Tartu, Tartu, Estonia.
Drouard G Drouard Gabin G Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Jelenkovic A Jelenkovic Aline A Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Aaltonen S Aaltonen Sari S Clinicum, Department of Psychiatry, University of Helsinki, Helsinki, Finland.
Ollikainen M Ollikainen Miina M Minerva Foundation Institute for Medical Research, Helsinki, Finland.
Spector T Spector Timothy T Department of Twin Research and Genetic Epidemiology, King's College, London, UK.
Mangino M Mangino Massimo M Department of Twin Research and Genetic Epidemiology, King's College, London, UK.
Christensen K Christensen Kaare K The Danish Twin Registry, Institute of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark.
Skytthe A Skytthe Axel A The Danish Twin Registry, Institute of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark.
Kyvik KO Kyvik Kirsten O KO Odense University Hospital, Odense, Denmark.
Medda E Medda Emanuela E Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Fagnani C Fagnani Corrado C Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Corley RP Corley Robin P RP Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA.
Huibregtse BM Huibregtse Brooke M BM Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA.
Toccaceli V Toccaceli Virgilia V Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
Rasmussen FE Rasmussen Finn E FE Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Tynelius P Tynelius Per P Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Medland SE Medland Sarah E SE QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Gordon SD Gordon Scott D SD QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Duncan GE Duncan Glen E GE Washington State Twin Registry, Washington State University-Health Sciences Spokane, Spokane, Washington, USA.
Buchwald D Buchwald Dedra D Washington State Twin Registry, University of Washington, Seattle, Washington, USA.
Magnusson PKE Magnusson Patrik K E PKE Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karlsson IK Karlsson Ida K IK Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Dahl Aslan AK Dahl Aslan Anna K AK School of Health Sciences, University of Skövde, Skövde, Sweden.
Bartels M Bartels Meike M Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Ligthart L Ligthart Lannie L Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
de Geus EJC de Geus Eco J C EJC Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Gatz M Gatz Margaret M Center for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Butler DA Butler David A DA Health and Medicine Division, the National Academies of Sciences, Engineering, and Medicine, Washington, DC, USA.
Pyun H Pyun Hyojin H Department of Epidemiology, Seoul National University School of Public Health, Seoul, Korea.
Kim J Kim Jeeeun J Institute of Health & Environmental, Seoul National University, Seoul, Korea.
Lee SJ Lee Soo Ji SJ Institute of Health & Environmental, Seoul National University, Seoul, Korea.
Sung J Sung Joohon J Institute of Health & Environmental, Seoul National University, Seoul, Korea.
Bruins S Bruins Susanne S Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Pool R Pool René R Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Boomsma DI Boomsma Dorret I DI Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, the Netherlands.
Kaprio J Kaprio Jaakko J Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Silventoinen K Silventoinen Karri K Helsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.
INVESTIGATORS
JOURNAL
VOLUME: 28
ISSUE: 9
TITLE: Diabetes, obesity & metabolism
ISOABBREVIATION: Diabetes Obes Metab
YEAR: 2026
MONTH: Sep
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1463-1326
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Diabetes Obes Metab
COUNTRY: England
ISSNLINKING: 1462-8902
NLMUNIQUEID: 100883645
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Twin Study
COMMENTS AND CORRECTIONS
GRANTS
GRANTID AGENCY COUNTRY
Chronic Disease Research Foundation
Medical Research Council Laboratory of Molecular Biology
Swiss State Secretariat for Education, Research and Innovation (SERI)
912-10-020 MagW/ZonMW
400-05-717 MagW/ZonMW
451-04-034 MagW/ZonMW
463-06-001 MagW/ZonMW
480-04-004 MagW/ZonMW
904-61-090 MagW/ZonMW
904-61-193 MagW/ZonMW
985-10-002 MagW/ZonMW
Addiction-31160008 MagW/ZonMW
Middelgroot-911-09-032 MagW/ZonMW
Spinozapremie 56-464-14192 MagW/ZonMW
R21 AG039572 CLC NIH HHS United States
National Institute for Health and Care Research
EMGO+ VU University's Institute for Health and Care Research
NIHR Clinical Research Network North West London
100499 Terveyden Tutkimuksen Toimikunta
118555 Terveyden Tutkimuksen Toimikunta
141054 Terveyden Tutkimuksen Toimikunta
205585 Terveyden Tutkimuksen Toimikunta
264146 Terveyden Tutkimuksen Toimikunta
308248 Terveyden Tutkimuksen Toimikunta
Avera Institute for Human Genetics
Danish Agency for Science and Higher Education
Centre for Behavioural Sciences and Mental Health
Velux Fonden
101080117 Horizon Europe Research and Innovation programme
Zoe Ltd
Research Council for Health and Disease
352792 Research council of Finland Centre of Excellence in Complex Disease Genetics
European Union Horizon 2020
1079102 Centre of Research Excellence Grant
RC2 HL103416 NHLBI NIH HHS United States
Wellcome Leap Dynamic Resilience Programme
P01 AG08761 National Institute of Health US
NIHR Barts Biomedical Research Centre, Queen Mary University of London
2017-00641 Forskningsrådet om Hälsa, Arbetsliv och Välfärd
AA-00145 NIAAA NIH HHS United States
AA-09203 NIAAA NIH HHS United States
AA-12502 NIAAA NIH HHS United States
AA015416 NIAAA NIH HHS United States
AA15416 NIAAA NIH HHS United States
10093560 UK Research and Innovation (UKRI)
10106435 UK Research and Innovation (UKRI)
NRF 2011-220-E00006 Global Research Network Program of the National Research Foundation
R21 AG039572 CLC NIH HHS United States
Wellcome Trust United Kingdom
ERC 230374 European Research Council International
Versus Arthritis United Kingdom
RC2 HL103416 NHLBI NIH HHS United States
GENERAL NOTE
KEYWORDS
KEYWORD
body composition
cohort study
meta-analysis
observational study
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Humans
Male
Body Mass Index
Female
Adult
Middle Aged
Aged
Longitudinal Studies
Adolescent
Young Adult
Gene-Environment Interaction
Aged, 80 and over
Twins, Monozygotic genetics
Obesity epidemiology
Aging genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's