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Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study.
Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo; Hur, Yoon-Mi; Yokoyama, Yoshie; Honda, Chika; Hjelmborg, Jacob vB; Möller, Sören; Ooki, Syuichi; Aaltonen, Sari; Ji, Fuling; Ning, Feng; Pang, Zengchang; Rebato, Esther; Busjahn, Andreas; Kandler, Christian; Saudino, Kimberly J; Jang, Kerry L; Cozen, Wendy; Hwang, Amie E; Mack, Thomas M; Gao, Wenjing; Yu, Canqing; Li, Liming; Corley, Robin P; Huibregtse, Brooke M; Christensen, Kaare; Skytthe, Axel; Kyvik, Kirsten O; Derom, Catherine A; Vlietinck, Robert F; Loos, Ruth Jf; Heikkilä, Kauko; Wardle, Jane; Llewellyn, Clare H; Fisher, Abigail; McAdams, Tom A; Eley, Thalia C; Gregory, Alice M; He, Mingguang; Ding, Xiaohu; Bjerregaard-Andersen, Morten; Beck-Nielsen, Henning; Sodemann, Morten; Tarnoki, Adam D; Tarnoki, David L; Stazi, Maria A; Fagnani, Corrado; D'Ippolito, Cristina; Knafo-Noam, Ariel.
Afiliação
  • Silventoinen K; Departments of Social Research and Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan; karri.silventoinen@helsinki.fi.
  • Jelenkovic A; Departments of Social Research and Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country, Leioa, Spain;
  • Sund R; Departments of Social Research and.
  • Hur YM; Department of Education, Mokpo National University, Jeonnam, South Korea;
  • Yokoyama Y; Department of Public Health Nursing, Osaka City University, Osaka, Japan;
  • Honda C; Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan;
  • Hjelmborg Jv; The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and.
  • Möller S; The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and.
  • Ooki S; Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan;
  • Aaltonen S; Departments of Social Research and Public Health, University of Helsinki, Helsinki, Finland;
  • Ji F; Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China;
  • Ning F; Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China;
  • Pang Z; Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China;
  • Rebato E; Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country, Leioa, Spain;
  • Busjahn A; HealthTwiSt GmbH, Berlin, Germany;
  • Kandler C; Department of Psychology, Bielefeld University, Bielefeld, Germany;
  • Saudino KJ; Department of Psychological and Brain Sciences, Boston University, Boston, MA;
  • Jang KL; Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada;
  • Cozen W; Department of Preventive Medicine, Keck School of Medicine of USC, and USC Norris Comprehensive Cancer Center, Los Angeles, CA;
  • Hwang AE; Department of Preventive Medicine, Keck School of Medicine of USC, and.
  • Mack TM; Department of Preventive Medicine, Keck School of Medicine of USC, and USC Norris Comprehensive Cancer Center, Los Angeles, CA;
  • Gao W; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;
  • Yu C; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;
  • Li L; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;
  • Corley RP; Institute for Behavioral Genetics, Boulder, CO;
  • Huibregtse BM; Institute for Behavioral Genetics, Boulder, CO;
  • Christensen K; The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and Departments of Clinical Biochemistry and Pharmacology Clinical Genetics.
  • Skytthe A; The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and.
  • Kyvik KO; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Odense Patient data Explorative Network, and.
  • Derom CA; Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium; Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium;
  • Vlietinck RF; Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium;
  • Loos RJ; The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY;
  • Heikkilä K; Public Health, University of Helsinki, Helsinki, Finland;
  • Wardle J; Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom;
  • Llewellyn CH; Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom;
  • Fisher A; Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom;
  • McAdams TA; Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom; MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, and.
  • Eley TC; MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, and.
  • Gregory AM; Department of Psychology, Goldsmiths, University of London, London, United Kingdom;
  • He M; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China; Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia;
  • Ding X; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China;
  • Bjerregaard-Andersen M; Departments of Endocrinology and Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau; Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark;
  • Beck-Nielsen H; Departments of Endocrinology and.
  • Sodemann M; Departments of Endocrinology and Infectious Diseases, Odense University Hospital, Odense, Denmark;
  • Tarnoki AD; Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary; Hungarian Twin Registry, Budapest, Hungary;
  • Tarnoki DL; Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary; Hungarian Twin Registry, Budapest, Hungary;
  • Stazi MA; Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy;
  • Fagnani C; Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy;
  • D'Ippolito C; Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy;
  • Knafo-Noam A; The Hebrew University of Jerusalem, Jerusalem, Israel;
Am J Clin Nutr ; 104(2): 371-9, 2016 Aug.
Article em En | MEDLINE | ID: mdl-27413137
ABSTRACT

BACKGROUND:

Both genetic and environmental factors are known to affect body mass index (BMI), but detailed understanding of how their effects differ during childhood and adolescence is lacking.

OBJECTIVES:

We analyzed the genetic and environmental contributions to BMI variation from infancy to early adulthood and the ways they differ by sex and geographic regions representing high (North America and Australia), moderate (Europe), and low levels (East Asia) of obesogenic environments.

DESIGN:

Data were available for 87,782 complete twin pairs from 0.5 to 19.5 y of age from 45 cohorts. Analyses were based on 383,092 BMI measurements. Variation in BMI was decomposed into genetic and environmental components through genetic structural equation modeling.

RESULTS:

The variance of BMI increased from 5 y of age along with increasing mean BMI. The proportion of BMI variation explained by additive genetic factors was lowest at 4 y of age in boys (a(2) = 0.42) and girls (a(2) = 0.41) and then generally increased to 0.75 in both sexes at 19 y of age. This was because of a stronger influence of environmental factors shared by co-twins in midchildhood. After 15 y of age, the effect of shared environment was not observed. The sex-specific expression of genetic factors was seen in infancy but was most prominent at 13 y of age and older. The variance of BMI was highest in North America and Australia and lowest in East Asia, but the relative proportion of genetic variation to total variation remained roughly similar across different regions.

CONCLUSIONS:

Environmental factors shared by co-twins affect BMI in childhood, but little evidence for their contribution was found in late adolescence. Our results suggest that genetic factors play a major role in the variation of BMI in adolescence among populations of different ethnicities exposed to different environmental factors related to obesity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gêmeos Dizigóticos / Gêmeos Monozigóticos / Variação Genética / Índice de Massa Corporal / Meio Ambiente / Interação Gene-Ambiente / Obesidade Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gêmeos Dizigóticos / Gêmeos Monozigóticos / Variação Genética / Índice de Massa Corporal / Meio Ambiente / Interação Gene-Ambiente / Obesidade Idioma: En Ano de publicação: 2016 Tipo de documento: Article