1
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Beck JJ, Pool R, van de Weijer M, Chen X, Krapohl E, Gordon SD, Nygaard M, Debrabant B, Palviainen T, van der Zee MD, Baselmans B, Finnicum CT, Yi L, Lundström S, van Beijsterveldt T, Christiansen L, Heikkilä K, Kittelsrud J, Loukola A, Ollikainen M, Christensen K, Martin NG, Plomin R, Nivard M, Bartels M, Dolan C, Willemsen G, de Geus E, Almqvist C, Magnusson PKE, Mbarek H, Ehli EA, Boomsma DI, Hottenga JJ. Genetic Meta-Analysis of Twin Birth Weight Shows High Genetic Correlation with Singleton Birth Weight. Hum Mol Genet 2021; 30:1894-1905. [PMID: 33955455 PMCID: PMC8444448 DOI: 10.1093/hmg/ddab121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/19/2021] [Accepted: 04/20/2021] [Indexed: 01/09/2023] Open
Abstract
Birth weight (BW) is an important predictor of newborn survival and health and has associations with many adult health outcomes, including cardio-metabolic disorders, autoimmune diseases, and mental health. On average, twins have a lower BW than singletons as a result of a different pattern of fetal growth and shorter gestational duration. Therefore, investigations into the genetics of BW often exclude data from twins, leading to a reduction in sample size and remaining ambiguities concerning the genetic contribution to BW in twins. In this study, we carried out a genome-wide association meta-analysis of BW in 42 212 twin individuals and found a positive correlation of beta values (Pearson's r = 0.66, 95% confidence interval [CI]: 0.47-0.77) with 150 previously reported genome-wide significant variants for singleton BW. We identified strong positive genetic correlations between BW in twins and numerous anthropometric traits, most notably with BW in singletons (genetic correlation [rg] = 0.92, 95% CI: 0.66-1.18). Genetic correlations of BW in twins with a series of health-related traits closely resembled those previously observed for BW in singletons. Polygenic scores constructed from a genome-wide association study on BW in UK Biobank demonstrated strong predictive power in a target sample of Dutch twins and singletons. Together, our results indicate that a similar genetic architecture underlies BW in twins and singletons and that future genome-wide studies might benefit from including data from large twin registers.
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Affiliation(s)
- Jeffrey J Beck
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - René Pool
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Margot van de Weijer
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Xu Chen
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Eva Krapohl
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Scott D Gordon
- Genetic Epidemiology Laboratory, QIMR Berghofer, Brisbane, Queensland, Australia
| | - Marianne Nygaard
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Birgit Debrabant
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Teemu Palviainen
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Matthijs D van der Zee
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Bart Baselmans
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands.,Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Casey T Finnicum
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - Lu Yi
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Toos van Beijsterveldt
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Lene Christiansen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kauko Heikkilä
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Julie Kittelsrud
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - Anu Loukola
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Miina Ollikainen
- University of Helsinki, Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nicholas G Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer, Brisbane, Queensland, Australia
| | - Robert Plomin
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michel Nivard
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Conor Dolan
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Eco de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatististics, Karolinska Institutet, Stockholm, Sweden
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Erik A Ehli
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America
| | - Dorret I Boomsma
- Avera Institute for Human Genetics, Avera McKennan Hospital and University Health Center, Sioux Falls, South Dakota, United States of America.,Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
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2
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Ashtree DN, McGuinness AJ, Plummer M, Sun C, Craig JM, Scurrah KJ. Developmental origins of cardiometabolic health outcomes in twins: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2020; 30:1609-1621. [PMID: 32682747 DOI: 10.1016/j.numecd.2020.06.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/21/2020] [Accepted: 06/15/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Studies of twins can reduce confounding and provide additional evidence about the causes of disease, due to within-pair matching for measured and unmeasured factors. Although findings from twin studies are typically applicable to the general population, few studies have taken full advantage of the twin design to explore the developmental origins of cardiometabolic health outcomes. We aimed to systematically review the evidence from twin studies and generate pooled estimates for the effects of early-life risk factors on later-life cardiometabolic health. METHODS AND RESULTS An initial search was conducted in March 2018, with 55 studies of twins included in the review. Risk of bias was assessed using the Newcastle-Ottawa Scale, and eligible studies were included in a meta-analysis, where pooled estimates were calculated. Twenty-six studies analysed twins as individuals, and found that higher birthweight was associated with lower SBP (β = -2.02 mmHg, 95%CI: -3.07, -0.97), higher BMI (β = 0.52 kg/m2, 95%CI: 0.20, 0.84) and lower total cholesterol (β = -0.07 mmol/L, 95%CI: -0.11, -0.04). However, no associations were reported in studies which adjusted for gestational age. Few of the included studies separated their analyses into within-pair and between-pair associations. CONCLUSIONS Early-life risk factors were associated with cardiometabolic health outcomes in twin studies. However, many estimates from studies in this review were likely to have been confounded by gestational age, and few fully exploited the twin design to assess the developmental origins of cardiometabolic health outcomes.
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Affiliation(s)
- Deborah N Ashtree
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Parkville, Australia; Twins Research Australia, Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Parkville, Australia.
| | - Amelia J McGuinness
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Michelle Plummer
- Adelaide Medical School, Robinson Research Institute, University of Adelaide, Australia
| | - Cong Sun
- Murdoch Children's Research Institute, Parkville, Australia
| | - Jeffrey M Craig
- Murdoch Children's Research Institute, Parkville, Australia; Centre for Molecular and Medical Research, School of Medicine, Faculty of Health, Deakin University, Waurn Ponds, Australia
| | - Katrina J Scurrah
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Parkville, Australia; Twins Research Australia, Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Parkville, Australia
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3
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Yokoyama Y, Jelenkovic A, Hur YM, Sund R, Fagnani C, Stazi MA, Brescianini S, Ji F, Ning F, Pang Z, Knafo-Noam A, Mankuta D, Abramson L, Rebato E, Hopper JL, Cutler TL, Saudino KJ, Nelson TL, Whitfield KE, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Llewellyn CH, Fisher A, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Krueger RF, McGue M, Pahlen S, Bartels M, van Beijsterveldt CEM, Willemsen G, Harris JR, Brandt I, Nilsen TS, Craig JM, Saffery R, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Haworth CMA, Plomin R, Bayasgalan G, Narandalai D, Rasmussen F, Tynelius P, Tarnoki AD, Tarnoki DL, Ooki S, Rose RJ, Pietiläinen KH, Sørensen TIA, Boomsma DI, Kaprio J, Silventoinen K. Genetic and environmental factors affecting birth size variation: a pooled individual-based analysis of secular trends and global geographical differences using 26 twin cohorts. Int J Epidemiol 2019; 47:1195-1206. [PMID: 29788280 DOI: 10.1093/ije/dyy081] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 04/24/2018] [Indexed: 11/13/2022] Open
Abstract
Background The genetic architecture of birth size may differ geographically and over time. We examined differences in the genetic and environmental contributions to birthweight, length and ponderal index (PI) across geographical-cultural regions (Europe, North America and Australia, and East Asia) and across birth cohorts, and how gestational age modifies these effects. Methods Data from 26 twin cohorts in 16 countries including 57 613 monozygotic and dizygotic twin pairs were pooled. Genetic and environmental variations of birth size were estimated using genetic structural equation modelling. Results The variance of birthweight and length was predominantly explained by shared environmental factors, whereas the variance of PI was explained both by shared and unique environmental factors. Genetic variance contributing to birth size was small. Adjusting for gestational age decreased the proportions of shared environmental variance and increased the propositions of unique environmental variance. Genetic variance was similar in the geographical-cultural regions, but shared environmental variance was smaller in East Asia than in Europe and North America and Australia. The total variance and shared environmental variance of birth length and PI were greater from the birth cohort 1990-99 onwards compared with the birth cohorts from 1970-79 to 1980-89. Conclusions The contribution of genetic factors to birth size is smaller than that of shared environmental factors, which is partly explained by gestational age. Shared environmental variances of birth length and PI were greater in the latest birth cohorts and differed also across geographical-cultural regions. Shared environmental factors are important when explaining differences in the variation of birth size globally and over time.
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Affiliation(s)
- Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Aline Jelenkovic
- Department of Social Research, University of Helsinki, Helsinki, Finland.,Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland.,Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Corrado Fagnani
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Maria A Stazi
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Sonia Brescianini
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Ariel Knafo-Noam
- Department of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel
| | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- Department of Psychology, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - John L Hopper
- Australian Twin Registry, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia.,Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Tessa L Cutler
- Australian Twin Registry, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
| | - Kimberly J Saudino
- Department of Psychological and Brain Sciencies, Boston University, Boston, MA, USA
| | - Tracy L Nelson
- Department of Health and Exercise Sciencies and Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | | | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | | | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium.,Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Clare H Llewellyn
- Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Abigail Fisher
- Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Morten Bjerregaard-Andersen
- Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau.,Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark.,Department of Endocrinology
| | | | - Morten Sodemann
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | | | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Jennifer R Harris
- Department of Genetic Research and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Ingunn Brandt
- Department of Genetic Research and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Thomas S Nilsen
- Department of Genetic Research and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Jeffrey M Craig
- Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Richard Saffery
- Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.,Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Michel Boivin
- École de psychologie, Université Laval, Québec, QC, Canada.,Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Tomsk, Tomskaya oblast', Russian Federation
| | - Mara Brendgen
- Département de psychologie, Université du Québec à Montréal, Montréal, QC, Canada
| | - Ginette Dionne
- École de psychologie, Université Laval, Québec, QC, Canada
| | - Frank Vitaro
- École de psychoéducation, Université de Montréal, Montréal, QC, Canada
| | | | - Robert Plomin
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | | | - Danshiitsoodol Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia.,Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Finn Rasmussen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.,Department of Health Sciences, Lund University, Lund, Sweden
| | - Per Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Adam D Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary.,Hungarian Twin Registry, Budapest, Hungary
| | - David L Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary.,Hungarian Twin Registry, Budapest, Hungary
| | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Kirsi H Pietiläinen
- Obesity Research Unit, University of Helsinki, Helsinki, Finland.,Endocrinology, Abdominal Center, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.,Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Institute for Molecular Medicine FIMM, Helsinki, Finland?>
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland.,Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
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4
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Jelenkovic A, Yokoyama Y, Sund R, Pietiläinen KH, Hur YM, Willemsen G, Bartels M, van Beijsterveldt TCEM, Ooki S, Saudino KJ, Stazi MA, Fagnani C, D’Ippolito C, Nelson TL, Whitfield KE, Knafo-Noam A, Mankuta D, Abramson L, Heikkilä K, Cutler TL, Hopper JL, Wardle J, Llewellyn CH, Fisher A, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Tarnoki AD, Tarnoki DL, Burt SA, Klump KL, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Harris JR, Brandt I, Nilsen TS, Craig JM, Saffery R, Rasmussen F, Tynelius P, Bayasgalan G, Narandalai D, Haworth CMA, Plomin R, Ji F, Ning F, Pang Z, Rebato E, Krueger RF, McGue M, Pahlen S, Boomsma DI, Sørensen TIA, Kaprio J, Silventoinen K. Association between birthweight and later body mass index: an individual-based pooled analysis of 27 twin cohorts participating in the CODATwins project. Int J Epidemiol 2017; 46:1488-1498. [PMID: 28369451 PMCID: PMC5837357 DOI: 10.1093/ije/dyx031] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2017] [Indexed: 11/30/2022] Open
Abstract
Background There is evidence that birthweight is positively associated with body mass index (BMI) in later life, but it remains unclear whether this is explained by genetic factors or the intrauterine environment. We analysed the association between birthweight and BMI from infancy to adulthood within twin pairs, which provides insights into the role of genetic and environmental individual-specific factors. Methods This study is based on the data from 27 twin cohorts in 17 countries. The pooled data included 78 642 twin individuals (20 635 monozygotic and 18 686 same-sex dizygotic twin pairs) with information on birthweight and a total of 214 930 BMI measurements at ages ranging from 1 to 49 years. The association between birthweight and BMI was analysed at both the individual and within-pair levels using linear regression analyses. Results At the individual level, a 1-kg increase in birthweight was linearly associated with up to 0.9 kg/m2 higher BMI (P < 0.001). Within twin pairs, regression coefficients were generally greater (up to 1.2 kg/m2 per kg birthweight, P < 0.001) than those from the individual-level analyses. Intra-pair associations between birthweight and later BMI were similar in both zygosity groups and sexes and were lower in adulthood. Conclusions These findings indicate that environmental factors unique to each individual have an important role in the positive association between birthweight and later BMI, at least until young adulthood.
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Affiliation(s)
- Aline Jelenkovic
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland and Abdominal Center, Endocrinology, Helsinki University Central Hospital, Helsinki, Finland
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | | | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Kimberly J Saudino
- Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA
| | - Maria A Stazi
- Istituto Superiore di Sanità—National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Corrado Fagnani
- Istituto Superiore di Sanità—National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Cristina D’Ippolito
- Istituto Superiore di Sanità—National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Tracy L Nelson
- Department of Health and Exercise Sciencies and Colorado School of Public Health, Colorado State University, USA
| | | | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Kauko Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Tessa L Cutler
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - John L Hopper
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, Korea
| | - Jane Wardle
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Clare H Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Brooke M Huibregtse
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
- Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth JF Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Morten Bjerregaard-Andersen
- Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
- Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | | | - Morten Sodemann
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Adam D Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - David L Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | | | - Kelly L Klump
- Michigan State University, East Lansing, Michigan, USA
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain
- IMIB-Arrixaca, Murcia, Spain
| | - Juan F Sánchez-Romera
- IMIB-Arrixaca, Murcia, Spain
- Department of Developmental and Educational Psychology, University of Murcia, Murcia, Spain
| | - Lucia Colodro-Conde
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Michel Boivin
- School of Psycholoy, Laval University, Quebec, Canada
- Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Russian Federation
| | - Mara Brendgen
- Departement of Psychology, University of Quebec at Montreal, Montreal, Quebec, Canada
| | | | - Frank Vitaro
- School of Psychoeducation, University of Montreal, Montreal, Quebec, Canada
| | | | | | | | - Jeffrey M Craig
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Richard Saffery
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Finn Rasmussen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Per Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | | | - Danshiitsoodol Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Claire MA Haworth
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Robert Plomin
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Thorkild IA Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research (Section on Metabolic Genetics), and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formely Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, Copenhagen, The Capital Region, Denmark
| | - Jaakko Kaprio
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland and Abdominal Center, Endocrinology, Helsinki University Central Hospital, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine FIMM, Helsinki, Finland
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
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5
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Total and Trimester-Specific Gestational Weight Gain and Offspring Birth and Early Childhood Weight: A Prospective Cohort Study on Monozygotic Twin Mothers and Their Offspring. Twin Res Hum Genet 2016; 19:367-76. [PMID: 27161254 DOI: 10.1017/thg.2016.37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Gestational weight gain (GWG) has in numerous studies been associated with offspring birth weight (BW) and childhood weight. However, these associations might be explained by genetic confounding as offspring inherit their mother's genetic potential to gain weight. Furthermore, little is known about whether particular periods of pregnancy could influence offspring body weight differently. We therefore aimed to explore total and trimester-specific effects of GWG in monozygotic (MZ) twin mother-pairs on their offspring's BW, weight at 1 year and body mass index (BMI) at 5 and 10 years. MZ twin mothers born 1962-1975 were identified in national Swedish registers, and data on exposure and outcome variables was collected from medical records. We analyzed associations within and between twin pairs. We had complete data on the mothers' GWG and offspring BW for 82 pairs. The results indicated that total, and possibly also second and third trimester GWG were associated with offspring BW within the twin pairs in the fully adjusted model (β = 0.08 z-score units, 95% CI: 0.001, 0.17; β = 1.32 z-score units, 95% CI: -0.29, 2.95; and β = 1.02 z-score units, 95% CI: -0.50, 2.54, respectively). Our findings, although statistically weak, suggested no associations between GWG and offspring weight or BMI during infancy or childhood. Our study suggests that total, and possibly also second and third trimester, GWG are associated with offspring BW when taking shared genetic and environmental factors within twin pairs into account. Larger family-based studies with long follow-up are needed to confirm our findings.
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6
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Yokoyama Y, Jelenkovic A, Sund R, Sung J, Hopper JL, Ooki S, Heikkilä K, Aaltonen S, Tarnoki AD, Tarnoki DL, Willemsen G, Bartels M, van Beijsterveldt TCEM, Saudino KJ, Cutler TL, Nelson TL, Whitfield KE, Wardle J, Llewellyn CH, Fisher A, He M, Ding X, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Song YM, Yang S, Lee K, Jeong HU, Knafo-Noam A, Mankuta D, Abramson L, Burt SA, Klump KL, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Harris JR, Brandt I, Nilsen TS, Craig JM, Saffery R, Ji F, Ning F, Pang Z, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Martin NG, Medland SE, Montgomery GW, Magnusson PKE, Pedersen NL, Aslan AKD, Tynelius P, Haworth CMA, Plomin R, Rebato E, Rose RJ, Goldberg JH, Rasmussen F, Hur YM, Sørensen TIA, Boomsma DI, Kaprio J, Silventoinen K. Twin's Birth-Order Differences in Height and Body Mass Index From Birth to Old Age: A Pooled Study of 26 Twin Cohorts Participating in the CODATwins Project. Twin Res Hum Genet 2016; 19:112-24. [PMID: 26996222 PMCID: PMC5100672 DOI: 10.1017/thg.2016.11] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
We analyzed birth order differences in means and variances of height and body mass index (BMI) in monozygotic (MZ) and dizygotic (DZ) twins from infancy to old age. The data were derived from the international CODATwins database. The total number of height and BMI measures from 0.5 to 79.5 years of age was 397,466. As expected, first-born twins had greater birth weight than second-born twins. With respect to height, first-born twins were slightly taller than second-born twins in childhood. After adjusting the results for birth weight, the birth order differences decreased and were no longer statistically significant. First-born twins had greater BMI than the second-born twins over childhood and adolescence. After adjusting the results for birth weight, birth order was still associated with BMI until 12 years of age. No interaction effect between birth order and zygosity was found. Only limited evidence was found that birth order influenced variances of height or BMI. The results were similar among boys and girls and also in MZ and DZ twins. Overall, the differences in height and BMI between first- and second-born twins were modest even in early childhood, while adjustment for birth weight reduced the birth order differences but did not remove them for BMI.
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Affiliation(s)
- Yoshie Yokoyama
- Department of Public Health Nursing,Osaka City University,Osaka,Japan
| | - Aline Jelenkovic
- Department of Social Research,University of Helsinki,Helsinki,Finland
| | - Reijo Sund
- Department of Social Research,University of Helsinki,Helsinki,Finland
| | - Joohon Sung
- Department of Epidemiology,School of Public Health,Seoul National University,Seoul,Korea
| | - John L Hopper
- Department of Epidemiology,School of Public Health,Seoul National University,Seoul,Korea
| | - Syuichi Ooki
- Department of Health Science,Ishikawa Prefectural Nursing University,Kahoku,Ishikawa,Japan
| | - Kauko Heikkilä
- Department of Public Health,University of Helsinki,Helsinki,Finland
| | - Sari Aaltonen
- Department of Social Research,University of Helsinki,Helsinki,Finland
| | - Adam D Tarnoki
- Department of Radiology and Oncotherapy,Semmelweis University,Budapest,Hungary
| | - David L Tarnoki
- Department of Radiology and Oncotherapy,Semmelweis University,Budapest,Hungary
| | - Gonneke Willemsen
- Department of Biological Psychology,VU University Amsterdam,Amsterdam,the Netherlands
| | - Meike Bartels
- Department of Biological Psychology,VU University Amsterdam,Amsterdam,the Netherlands
| | | | - Kimberly J Saudino
- Boston University,Department of Psychological and Brain Sciences,Boston,Massachusetts,USA
| | - Tessa L Cutler
- The Australian Twin Registry,Centre for Epidemiology and Biostatistics,The University of Melbourne,Melbourne,Victoria,Australia
| | - Tracy L Nelson
- Department of Health and Exercise Sciences and Colorado School of Public Health,Colorado State University,Fort Collins,Colorado,USA
| | - Keith E Whitfield
- Psychology and Neuroscience,Duke University,Durham,North Carolina,USA
| | - Jane Wardle
- Health Behaviour Research Centre,Department of Epidemiology and Public Health,Institute of Epidemiology and Health Care,University College London,London,UK
| | - Clare H Llewellyn
- Health Behaviour Research Centre,Department of Epidemiology and Public Health,Institute of Epidemiology and Health Care,University College London,London,UK
| | - Abigail Fisher
- Health Behaviour Research Centre,Department of Epidemiology and Public Health,Institute of Epidemiology and Health Care,University College London,London,UK
| | - Mingguang He
- State Key Laboratory of Ophthalmology,Zhongshan Ophthalmic Center,Sun Yat-sen University,Guangzhou,China
| | - Xiaohu Ding
- State Key Laboratory of Ophthalmology,Zhongshan Ophthalmic Center,Sun Yat-sen University,Guangzhou,China
| | | | | | - Morten Sodemann
- Department of Infectious Diseases,Odense University Hospital,Odense,Denmark
| | - Yun-Mi Song
- Department of Family Medicine,Samsung Medical Center,Sungkyunkwan University School of Medicine,Seoul,South-Korea
| | - Sarah Yang
- Department of Epidemiology,School of Public Health,Seoul National University,Seoul,Korea
| | - Kayoung Lee
- Department of Family Medicine,Busan Paik Hospital,Inje University College of Medicine,Busan,Korea
| | - Hoe-Uk Jeong
- Department of Education,Mokpo National University,Jeonnam,South Korea
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department,Hebrew University Medical School,Jerusalem,Israel
| | | | | | | | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology,University of Murcia,Murcia,Spain
| | - Juan F Sánchez-Romera
- Department of Developmental and Educational Psychology,University of Murcia,Murcia,Spain
| | - Lucia Colodro-Conde
- Department of Human Anatomy and Psychobiology,University of Murcia,Murcia,Spain
| | | | | | | | - Jeffrey M Craig
- Murdoch Childrens Research Institute,Royal Children's Hospital,Melbourne,Victoria,Australia
| | - Richard Saffery
- Murdoch Childrens Research Institute,Royal Children's Hospital,Melbourne,Victoria,Australia
| | - Fuling Ji
- Department of Noncommunicable Diseases Prevention,Qingdao Centers for Disease Control and Prevention,Qingdao,China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention,Qingdao Centers for Disease Control and Prevention,Qingdao,China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention,Qingdao Centers for Disease Control and Prevention,Qingdao,China
| | - Lise Dubois
- School of Epidemiology,Public Health and Preventive Medicine,University of Ottawa,Ottawa,Ontario,Canada
| | | | - Mara Brendgen
- Département de Psychologie,Université du Québec à Montréal,Montréal,Québec,Canada
| | | | - Frank Vitaro
- École de psychoéducation,Université de Montréal,Montréal,Québec,Canada
| | - Nicholas G Martin
- Genetic Epidemiology Department,QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia
| | - Sarah E Medland
- Genetic Epidemiology Department,QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia
| | - Grant W Montgomery
- Molecular Epidemiology Department,QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - Anna K Dahl Aslan
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Stockholm,Sweden
| | - Per Tynelius
- Department of Public Health Sciences,Karolinska Institutet,Stockholm,Sweden
| | | | - Robert Plomin
- King's College London,MRC Social,Genetic & Developmental Psychiatry Centre,Institute of Psychiatry,Psychology & Neuroscience,London,UK
| | - Esther Rebato
- Department of Genetics,Physical Anthropology and Animal Physiology,University of the Basque Country UPV/EHU,Leioa,Spain
| | | | - Jack H Goldberg
- Department of Epidemiology,School of Public Health,University of Washington,Seattle,Washington,USA
| | - Finn Rasmussen
- Department of Public Health Sciences,Karolinska Institutet,Stockholm,Sweden
| | - Yoon-Mi Hur
- Department of Education,Mokpo National University,Jeonnam,South Korea
| | - Thorkild I A Sørensen
- Institute of Preventive Medicine,Bispebjerg and Frederiksberg Hospitals,Copenhagen,The Capital Region,Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology,VU University Amsterdam,Amsterdam,the Netherlands
| | - Jaakko Kaprio
- Department of Public Health,University of Helsinki,Helsinki,Finland
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7
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Zygosity Differences in Height and Body Mass Index of Twins From Infancy to Old Age: A Study of the CODATwins Project. Twin Res Hum Genet 2015; 18:557-70. [PMID: 26337138 DOI: 10.1017/thg.2015.57] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
A trend toward greater body size in dizygotic (DZ) than in monozygotic (MZ) twins has been suggested by some but not all studies, and this difference may also vary by age. We analyzed zygosity differences in mean values and variances of height and body mass index (BMI) among male and female twins from infancy to old age. Data were derived from an international database of 54 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins), and included 842,951 height and BMI measurements from twins aged 1 to 102 years. The results showed that DZ twins were consistently taller than MZ twins, with differences of up to 2.0 cm in childhood and adolescence and up to 0.9 cm in adulthood. Similarly, a greater mean BMI of up to 0.3 kg/m2 in childhood and adolescence and up to 0.2 kg/m2 in adulthood was observed in DZ twins, although the pattern was less consistent. DZ twins presented up to 1.7% greater height and 1.9% greater BMI than MZ twins; these percentage differences were largest in middle and late childhood and decreased with age in both sexes. The variance of height was similar in MZ and DZ twins at most ages. In contrast, the variance of BMI was significantly higher in DZ than in MZ twins, particularly in childhood. In conclusion, DZ twins were generally taller and had greater BMI than MZ twins, but the differences decreased with age in both sexes.
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8
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Abstract
The purpose of this review was to evaluate factors in early childhood (≤5 years of age) that are the most significant predictors of the development of obesity in adulthood. Factors of interest included exposures/insults in the prenatal period, infancy and early childhood, as well as other socio-demographic variables such as socioeconomic status (SES) or birth place that could impact all three time periods. An extensive electronic and systematic search initially resulted in 8,880 citations, after duplicates were removed. Specific inclusion and exclusion criteria were set, and following two screening processes, 135 studies were retained for detailed abstraction and analysis. A total of 42 variables were associated with obesity in adulthood; however, of these, only seven variables may be considered as potential early markers of obesity based on the reported associations. Possible early markers of obesity included maternal smoking and maternal weight gain during pregnancy. Probable early markers of obesity included maternal body mass index, childhood growth patterns (early rapid growth and early adiposity rebound), childhood obesity and father's employment (a proxy measure for SES in many studies). Health promotion programmes/agencies should consider these factors as reasonable targets to reduce the risk of adult obesity.
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Affiliation(s)
- T D Brisbois
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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9
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Rasmussen F, Kark M, Tholin S, Karnehed N, Tynelius P. The Swedish Young Male Twins Study: A Resource for Longitudinal Research on Risk Factors for Obesity and Cardiovascular Diseases. Twin Res Hum Genet 2012. [DOI: 10.1375/twin.9.6.883] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractThe Swedish Young Male Twins Study is a population-based longitudinal twin study founded in 1997 through record-linkages of several national registers. Details on pregnancy and birth were obtained from the Swedish Medical Birth Register and used to identify 3566 male twins (1783 pairs) born in Sweden between 1973 and 1979 and resident in Sweden in 1997. A record-linkage was made between the Medical Birth Register and the Military Service Conscription Register for the years 1991 to 1999, providing information on body weight, height, blood pressure, muscle strength, cognitive ability of these twins at age 18 and 19 years. In 1998, 2002 and 2005 to 2006, the twins were surveyed on their zygosity, socioeconomic status, lifestyle factors (such as eating habits, physical activity, smoking habits, use of alcohol etc), height and weight. In 2002, additional information was collected on perceived body shape and size, and eating behavior, according to the Three-Factor Eating Questionnaire. In 2003, DNA via buccal mucosa was collected from a subset of the twins. Recent research using the Swedish Young Male Twins datasets has explored the relationships between fetal growth, body size and blood pressure in young adulthood, genetic and environmental contributions to eating behavior and physical activity, and relationships between diet and physical activity patterns with longitudinal changes in body mass index and attained waist circumference.
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10
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Leon DA. The Foetal Origins of Adult Disease: Interpreting the Evidence From Twin Studies. ACTA ACUST UNITED AC 2012. [DOI: 10.1375/twin.4.5.321] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractTwin studies have a contribution to make to the debate concerning the foetal origins of adult disease. Twins are growth retarded compared to singletons and experience post-natal catch-up growth. However, there is no evidence that twins are at increased risk of cardiovascular disease. Studying whether discordance in size at birth within monozygotic twin pairs is predictive of discordance in later life disease should help resolve whether the association between size at birth and later disease is due to common genetic factors. Results from studies of blood pressure in childhood and adult life looking at these within twin effects are far from conclusive. There are, however, methodological problems in the interpretation of these results, not least of which is the relatively small numbers of twin pairs studied. Studies exploring the effect of zygosity and chorion type on later disease provide may provide a useful extension of the research agenda. In summary, twin studies to date have raised more questions about the foetal origins hypothesis than they have resolved.
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11
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Hur YM, Luciano M, Martin NG, Boomsma DI, Iacono WG, McGue M, Shin JS, Jun JK, Ooki S, van Beijsterveldt CEM, Han JY. A Comparison of Twin Birthweight Data From Australia, the Netherlands, the United States, Japan, and South Korea: Are Genetic and Environmental Variations in Birthweight Similar in Caucasians and East Asians? Twin Res Hum Genet 2012. [DOI: 10.1375/twin.8.6.638] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractBirthweight has implications for physical and mental health in later life. Using data from Caucasian twins collected in Australia, the Netherlands and the United States, and from East Asian twins collected in Japan and South Korea, we compared the total phenotypic, genetic and environmental variances of birthweight between Caucasians and East Asians. Model-fitting analyses yielded four major findings. First, for both males and females, the total phenotypic variances of birthweight were about 45% larger in Caucasians than in East Asians. The larger phenotypic variances were mainly attributable to a greater shared environmental variance of birth- weight in Caucasians (ranging from 62% to 67% of variance) than Asians (48% to 53%). Second, the genetic variance of birthweight was equal in Caucasians and East Asians for both males and females, explaining a maximum of 17% of variance. Third, small variations in total phenotypic variances of birthweight within Caucasians and within East Asians were mainly due to differences in nonshared environmental variances. We speculate that maternal effects (both genetic and environmental) explain the large shared environmental variance in birthweight and may account for the differences in phenotypic variance in birthweight between Caucasians and East Asians. Recent molecular findings and specific environmental factors that are subsumed by maternal effects are discussed.
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12
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Silventoinen K, Pietiläinen KH, Tynelius P, Sørensen TIA, Kaprio J, Rasmussen F. Genetic regulation of growth from birth to 18 years of age: The Swedish young male twins study. Am J Hum Biol 2008; 20:292-8. [DOI: 10.1002/ajhb.20717] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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13
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Silventoinen K, Pietiläinen KH, Tynelius P, Sørensen TIA, Kaprio J, Rasmussen F. Genetic and environmental factors in relative weight from birth to age 18: the Swedish young male twins study. Int J Obes (Lond) 2007; 31:615-21. [PMID: 17384662 DOI: 10.1038/sj.ijo.0803577] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVES To investigate the contributions of genetic and environmental factors to the development of relative weight during the growth period. DESIGN Longitudinal twin study. SUBJECTS Two-hundred and thirty-one monozygotic and 144 dizygotic complete male twin pairs born between 1973 and 1979 were measured annually from birth to 18 years of age. RESULTS Body mass index (BMI, kg/m(2)) at age 18 correlated with BMI at age 1 (r=0.32, 95% confidence intervals (CI) 0.21-0.42), and this correlation increased steadily up to age 17 (r=0.91, 95% CI 0.89-0.93). Major part (81-95%) of these trait correlations was attributable to correlate additive genetic factors, but also unique environmental correlations were present during the whole-growth period. The correlation between ponderal index (kg/m(3)) at birth and BMI at age 18 was small (r=0.09, 95% CI 0.02-0.15) and totally because of correlated unique environmental factors. CONCLUSIONS Our results suggest persistent genetic regulation of BMI from age 1 to 18. However, environmental factors, not shared by siblings, also affected the correlations of BMI. A small specific environmental correlation was found between ponderal index at birth and BMI at age 18, which may reflect the effect of neonatal environmental factors on adult BMI. A challenge to the future research is to identify chromosome regions and specific genes regulating the development of BMI as well as environmental factors affecting BMI through the growth period independently or interacting with genetic factors.
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Affiliation(s)
- K Silventoinen
- Department of Public Health, University of Helsinki, Helsinki, Finland
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14
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Dolan MS, Sorkin JD, Hoffman DJ. Birth weight is inversely associated with central adipose tissue in healthy children and adolescents. Obesity (Silver Spring) 2007; 15:1600-8. [PMID: 17557998 DOI: 10.1038/oby.2007.189] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Previous studies have explored the association between birth weight and excess childhood body fat, but few have used precise measures of body composition, leading to equivocal and sometimes contradictory results. RESEARCH METHODS AND PROCEDURES Subjects included 101 children who underwent DXA measurements between 1995 and 2000. Birth weight and gestational age were assessed using maternal recall. Multiple linear regression analysis was used to determine the relationship between birth weight and the following four outcome variables: total fat mass (FM), truncal fat mass (TrFM), percentage body fat (%BF), and TrFM adjusted for FM (TrFMadj), controlling for current weight and Tanner stage. RESULTS The mean age of the children studied was 12.9 +/- 2.4 years, and the mean birth weight reported by subjects' mothers was 3.3 +/- 0.5 kg. The FM and TrFM were 12.8 +/- 8.7 kg and 5.1 +/- 4.1 kg, respectively, and the mean %BF was 22.9 +/- 10.3%. Birth weight was a significant predictor of FM (p = 0.02) and %BF (p = 0.038). However, birth weight adjusted for gestational age (BWTadj) was a significant (p = 0.03) negative predictor of TrFMadj, independently of race, sex, Tanner stage, and current weight. DISCUSSION These results provide evidence that, even in childhood and adolescence, a higher birth weight is associated with higher FM and %BF, while a low birth weight is associated with TrFM, adjusted for FM.
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Affiliation(s)
- Meredith S Dolan
- Healthy Weight Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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15
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Abstract
Emerging evidence demonstrates that heart disease may originate during fetal development. This review will focus on the role of maternal nutrition in the development of the fetal cardiovascular system. Emphasis will be placed upon the concept that nutritional inadequacies during gestation may be major programming stimuli that alter fetal cardiac, as well as vascular, physiology and predispose an individual to cardiovascular abnormalities in postnatal life. It is hypothesized that this research area will yield new information, resulting in improved fetal nutrition, growth and development through efficient maternal nutrition before and during pregnancy and will form the basis for nutritional strategies for the primary prevention of cardiovascular disease.
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Affiliation(s)
- Paramjit S Tappia
- Department of Human Nutritional Sciences, Institute of Cardiovascular Sciences, St Boniface Hospital Research Centre (R3020), Winnipeg, Manitoba, R2H 2A6, Canada.
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16
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Cheema KK, Dent MR, Saini HK, Aroutiounova N, Tappia PS. Prenatal exposure to maternal undernutrition induces adult cardiac dysfunction. Br J Nutr 2005; 93:471-7. [PMID: 15946408 DOI: 10.1079/bjn20041392] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
An adverse environmental experience of the growing fetus may lead to permanent changes in the structure and function of organs that may predispose the individual to chronic diseases in later life; however, nothing is known about the occurrence and mechanisms of heart failure. We employed a rat model in which pregnant dams were fed diets containing either 180 g (normal) or 90 g (low) casein/kg for 2 weeks before mating and throughout pregnancy. The ejection fraction (EF) of the pups exposed to the low-protein (LP) diet was severely depressed in the first 2 weeks of life and was associated with an increase in cardiomyocyte apoptosis. This early depressed cardiac function was followed by progressive recovery and normalization of the EF of the offspring in the LP group. The left ventricular (LV) internal diameters were increased between 24 h and 84 d (12 weeks) of age in the LP-exposed group. Although between 3 d and 2 weeks of age the LV wall of the heart in the LP group was thinner, a progressive increase in LV wall thickness was seen. At 40 weeks of age, although the EF was normal, a two-fold elevation in LV end-diastolic pressure, reduced cardiac output, decreased maximum rates of contraction and relaxation, and reduced mean arterial pressure were observed. Our findings demonstrate that exposure of the developing fetus to a maternal LP diet programs cardiac dysfunction in the offspring in later life.
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Affiliation(s)
- Kuljeet K Cheema
- Institute of Cardiovascular Sciences, St. Boniface Hospital Research Centre & Department of Human Nutritional Sciences, Faculty of Human Ecology, University of Manitoba, Winnipeg, Canada R2H 2A6
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17
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Abstract
This study is the first report of genetic and environmental influences on birthweight using Korean twins. The sample consisted of 255 monozygotic (MZ) and 178 dizygotic (DZ) twin pairs drawn from the Seoul Twin Family Study. Intraclass twin correlations were computed for the twins' birthweights obtained from parents (typically mothers) of the twins. To estimate genetic and shared and nonshared environmental influences on birthweight, standard univariate model-fitting analyses were performed using a software, Mx. For each gender, MZ twin correlations were higher than DZ twin correlations, suggesting existence of genetic influences on birthweight; however, DZ twin correlations were higher than half the MZ twin correlations, indicating that shared environmental factors are also important. For each zygosity, twin correlations were not significantly different between males and females, implicating that genes and environments that cause individual differences in birthweight may not vary between males and females. Model-fitting analyses based on the data pooled across gender yielded estimates of 17% for genetic, 60% for shared environmental, and 23% for nonshared environmental influences on birthweight.
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Affiliation(s)
- Yoon-Mi Hur
- Neuroscience Research Institute, Medical Research Center, Seoul National University, College of Medicine, Korea.
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18
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Magnusson PKE, Rasmussen F. Familial resemblance of body mass index and familial risk of high and low body mass index. A study of young men in Sweden. Int J Obes (Lond) 2002; 26:1225-31. [PMID: 12187400 DOI: 10.1038/sj.ijo.0802041] [Citation(s) in RCA: 56] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2001] [Revised: 02/05/2002] [Accepted: 03/13/2002] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Male familial correlations in body mass index (BMI) were studied using a large nationwide dataset of Swedish military conscripts examined at age 18-19 y. DESIGN Record linkage was performed between Sweden's Military Service Conscription Register and the Multiple-Generation Register, enabling the identification of 92 869 families containing at least two brothers. Data on BMI at conscription was available for 196 743 sons and for 19 972 fathers. Pairs of relatives were used to estimate Pearson correlation coefficients for BMI, and to examine whether there are BMI intervals that show particularly strong familial resemblance. RESULTS All biological family relations showed highly significant correlations for BMI: 0.28 (95% CI 0.27-0.29) for father-son pairs; 0.36 (0.35-0.37) for full-brothers, 0.21 (0.18-0.24) for maternal half-brothers, and 0.11 (0.08-0.14) for paternal half-brothers. Also, a significant correlation, of 0.06 (0.01-0.11), was found for non-biological quasi father-son relations. Full-brothers were more similar with respect to BMI at age 18 than father-son pairs, and maternal half-brothers were more similar than paternal half-brothers. The familial risk of having BMI values above or below various cut-offs was found to be equally strong for low BMI as for high BMI values. CONCLUSION The almost twice as strong BMI correlation between maternal half-brothers as between paternal half-brothers illustrates the importance of factors of non-additive genetic origin, to the familial aggregation of BMI. The significant BMI association found between biologically unrelated individuals from the same family emphasizes that assortative mating (and regional clustering) should be taken into account when the heritability of BMI is estimated.
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