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Austerberry C, Mateen M, Fearon P, Ronald A. Heritability of Psychological Traits and Developmental Milestones in Infancy: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2227887. [PMID: 35994288 PMCID: PMC9396365 DOI: 10.1001/jamanetworkopen.2022.27887] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
IMPORTANCE Although infancy is the most rapid period of postnatal growth and development, factors associated with variation in infant traits are not well understood. OBJECTIVE To synthesize the large twin study literature partitioning phenotypic variance in psychological traits and developmental milestones in infancy into estimates of heritability and shared and nonshared environment. DATA SOURCES PubMed, PsycINFO, and references of included publications were searched up to February 11, 2021. STUDY SELECTION Peer-reviewed publications using the classical twin design to study psychological traits and developmental milestones from birth to 2 years old were included. DATA EXTRACTION AND SYNTHESIS Data were extracted in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses and categorized using the International Classification of Functioning, Disability and Health: Children and Youth Version. Data were pooled in 3-level random effects models, incorporating within-cohort variance in outcome measurement and between-cohort variance. Data were analyzed from March 2021 through September 2021. MAIN OUTCOMES AND MEASURES The primary outcomes were monozygotic and dizygotic twin correlations. These were used to calculate genetic and shared and nonshared environment estimates. RESULTS Among 139 publications that were systematically retrieved, data were available on 79 044 twin pairs (31 053 monozygotic and 47 991 dizygotic pairs), 52 independent samples, and 21 countries. Meta-analyses were conducted on psychological traits and developmental milestones from 106 publications organized into 10 categories of functioning, disability, and health. Moderate to high genetic estimates for 8 categories were found, the highest of which was psychomotor functions (pooled h2, 0.59; 95% CI, 0.25-0.79; P < .001). Several categories of traits had substantial shared environment estimates, the highest being mental functions of language (pooled c2, 0.59; 95% CI, 0.24-0.86; P = .001). All examined categories of traits had moderate or high nonshared environment estimates, the highest of which were emotional functions (pooled e2, 0.42; 95% CI, 0.33-0.50; P < .001) and family relationships (pooled e2, 0.42; 95% CI, 0.30-0.55; P < .001). CONCLUSIONS AND RELEVANCE These findings may be an important source of information to guide future gene discovery research, public perspectives on nature and nurture, and clinical insights into the degree to which family history and environments may estimate major domains of infant functioning, disability, and health in psychological traits and developmental milestones.
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Affiliation(s)
- Chloe Austerberry
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Maria Mateen
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Pasco Fearon
- Centre for Family Research, University of Cambridge, Cambridge, United Kingdom
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
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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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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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5
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Waszak M, Cieślik K, Skrzypczak-Zielińska M, Szalata M, Wielgus K, Kempiak J, Bręborowicz G, Słomski R. Heritability estimates for somatic traits determined perinatally with the twin method. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2015; 66:332-42. [PMID: 25983076 DOI: 10.1016/j.jchb.2015.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Accepted: 11/18/2014] [Indexed: 10/23/2022]
Abstract
The aim of this study was to establish estimates for heritability of somatic traits determined perinatally with the twin method. The studied material, including 1263 twin pairs live-born at various stages of prenatal life, i.e. between the 22nd and 41st week of gestation, was collected at the Department of Perinatology and Gynecology, Poznań University of Medical Sciences, between 2002 and 2009. The zygosity of 821 pairs of same-sex twins was determined at the Laboratory of Molecular Genetics in Poznań using analysis of single and multiple nucleotide polymorphisms. The proportion of phenotypic variance explained by genetic variability was determined using heritability indices based on intrapair variances and correlations. Analysis of these indices revealed that genetic variability predominated over environmental variability in determining the phenotypic variance of all studied traits. Heritability was the highest for body weight and shoulder width. The high values of heritability coefficients documented in our study were to a certain extent associated with an inconsistency of the assumption on the additive effect of genetic and environmental effects. While analyzing the phenotypic variance of a trait, the role of genotype-environment interactions and covariance cannot be ignored, as these are their effects which increase the genetic variance and related coefficients of heritability. Therefore, it can be concluded that the genotypic component of the phenotypic variance of the trait is enhanced by the effects of various environmental factors.
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Affiliation(s)
- Małgorzata Waszak
- Department of Functional Anatomy, University School of Physical Education in Poznań, Królowej Jadwigi 27/39, 61-871 Poznań, Poland.
| | - Krystyna Cieślik
- Department of Functional Anatomy, University School of Physical Education in Poznań, Królowej Jadwigi 27/39, 61-871 Poznań, Poland
| | | | - Marlena Szalata
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszyńska 32, 60-479 Poznań, Poland
| | - Karolina Wielgus
- Department of Biotechnology and Molecular Biology, Institute of Natural Fibres and Medicinal Plants, Wojska Polskiego 71b, 60-630 Poznań, Poland
| | - Joanna Kempiak
- Department of Perinatology and Gynecology in Poznań, University of Medical Sciences, Polna 33, 60-535 Poznań, Poland
| | - Grzegorz Bręborowicz
- Department of Perinatology and Gynecology in Poznań, University of Medical Sciences, Polna 33, 60-535 Poznań, Poland
| | - Ryszard Słomski
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszyńska 32, 60-479 Poznań, Poland
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6
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Ramokolo V, Lombard C, Chhagan M, Engebretsen IMS, Doherty T, Goga AE, Fadnes LT, Zembe W, Jackson DJ, Van den Broeck J. Effects of early feeding on growth velocity and overweight/obesity in a cohort of HIV unexposed South African infants and children. Int Breastfeed J 2015; 10:14. [PMID: 25873986 PMCID: PMC4396061 DOI: 10.1186/s13006-015-0041-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 03/15/2015] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND South Africa has the highest prevalence of overweight/obesity in Sub-Saharan Africa. Assessing the effect of modifiable factors such as early infant feeding on growth velocity and overweight/obesity is therefore important. This paper aimed to assess the effect of infant feeding in the transitional period (12 weeks) on 12-24 week growth velocity amongst HIV unexposed children using WHO growth velocity standards and on the age and sex adjusted body mass index (BMI) Z-score distribution at 2 years. METHODS Data were from 3 sites in South Africa participating in the PROMISE-EBF trial. We calculated growth velocity Z-scores using the WHO growth standards and assessed feeding practices using 24-hour and 7-day recall data. We used quantile regression to study the associations between 12 week infant feeding and 12-24 week weight velocity (WVZ) with BMI-for-age Z-score at 2 years. We included the internal sample quantiles (70th and 90th centiles) that approximated the reference cut-offs of +2 (corresponding to overweight) and +3 (corresponding to obesity) of the 2 year BMI-for-age Z-scores. RESULTS At the 2-year visit, 641 children were analysed (median age 22 months, IQR: 17-26 months). Thirty percent were overweight while 8.7% were obese. Children not breastfed at 12 weeks had higher 12-24 week mean WVZ and were more overweight and obese at 2 years. In the quantile regression, children not breastfed at 12 weeks had a 0.37 (95% CI 0.07, 0.66) increment in BMI-for-age Z-score at the 50th sample quantile compared to breast-fed children. This difference in BMI-for-age Z-score increased to 0.46 (95% CI 0.18, 0.74) at the 70th quantile and 0.68 (95% CI 0.41, 0.94) at the 90th quantile . The 12-24 week WVZ had a uniform independent effect across the same quantiles. CONCLUSIONS This study demonstrates that the first 6 months of life is a critical period in the development of childhood overweight and obesity. Interventions targeted at modifiable factors such as early infant feeding practices may reduce the risks of rapid weight gain and subsequent childhood overweight/obesity.
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Affiliation(s)
- Vundli Ramokolo
- />Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- />Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Carl Lombard
- />Biostatistics Unit, South African Medical Research Council, Cape Town, South Africa
| | - Meera Chhagan
- />Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- />School of Public Health, University of the Western Cape, Cape Town, South Africa
- />Department of Pediatrics, University of KwaZulu Natal, KwaZulu Natal, South Africa
| | - Ingunn MS Engebretsen
- />Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Tanya Doherty
- />Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- />School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - Ameena E Goga
- />Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- />Department of Paediatrics and Child Health, Kalafong Hospital, University of Pretoria, Pretoria, South Africa
| | - Lars Thore Fadnes
- />Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- />Department of Clinical Dentistry, University of Bergen, Bergen, Norway
| | - Wanga Zembe
- />Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Debra J Jackson
- />School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - Jan Van den Broeck
- />Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
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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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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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9
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Abstract
This brief review focuses on the genetic contribution to childhood obesity. Evidence for a genetic component to excess body weight during growth is presented from the perspective of genetic epidemiology studies. Parental obesity is a predictor of childhood excess weight. The familial risk ratio for childhood obesity when a parent is obese reaches >2.5. Birth weight is characterized by a genetic heritability component on the order of 30%, with significant maternal and paternal effects in addition to the newborn genes. About 5% of childhood obesity cases are caused by a defect that impairs function in a gene, and >/=5 of these genes have been uncovered. However, the common forms of childhood obesity seem to result from a predisposition that primarily favors obesogenic behaviors in an obesogenic environment. Candidate gene and genomewide association studies reveal that these obesogenic genes have small effect sizes but that the risk alleles for obesity are quite common in populations. The latter may translate into a highly significant population-attributable risk of obesity. Gene-environment interaction studies suggest that the effects of predisposing genes can be enhanced or diminished by exposure to relevant behaviors. It is possible that the prevalence of childhood obesity is increasing across generations as a result of positive assortative mating with obese husbands and wives contributing more obese offspring than normal-weight parents.
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Affiliation(s)
- Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
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10
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Kuzawa CW, Sweet E. Epigenetics and the embodiment of race: Developmental origins of US racial disparities in cardiovascular health. Am J Hum Biol 2009; 21:2-15. [DOI: 10.1002/ajhb.20822] [Citation(s) in RCA: 428] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
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11
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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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12
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Modeling genetic and environmental factors to increase heritability and ease the identification of candidate genes for birth weight: a twin study. Behav Genet 2007; 38:44-54. [PMID: 18157630 PMCID: PMC2226023 DOI: 10.1007/s10519-007-9170-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2007] [Accepted: 09/17/2007] [Indexed: 10/28/2022]
Abstract
Heritability estimates of birth weight have been inconsistent. Possible explanations are heritability changes during gestational age or the influence of covariates (e.g. chorionicity). The aim of this study was to model birth weights of twins across gestational age and to quantify the genetic and environmental components. We intended to reduce the common environmental variance to increase heritability and thereby the chance of identifying candidate genes influencing the genetic variance of birth weight. Perinatal data were obtained from 4232 live-born twin pairs from the East Flanders Prospective Twin Survey, Belgium. Heritability of birth weights across gestational ages was estimated using a non-linear multivariate Gaussian regression with covariates in the means model and in covariance structure. Maternal, twin-specific, and placental factors were considered as covariates. Heritability of birth weight decreased during gestation from 25 to 42 weeks. However, adjusting for covariates increased the heritability over this time period, with the highest heritability for first-born twins of multipara with separate placentas, who were staying alive (from 52% at 25 weeks to 30% at 42 weeks). Twin-specific factors revealed latent genetic components, whereas placental factors explained common and unique environmental factors. The number of placentas and site of the insertion of the umbilical cord masked the effect of chorionicity. Modeling genetic and environmental factors leads to a better estimate of their role in growth during gestation. For birth weight, mainly environmental factors were explained, resulting in an increase of the heritability and thereby the chance of finding genes influencing birth weight in linkage and association studies.
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13
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Abstract
Twin studies of BMI on the basis of Asian twins are extremely rare. Eight hundred eighty-eight pairs of twins [279 monozygotic (MZ) and 82 dizygotic (DZ) pairs of male twins, 319 MZ and 82 DZ pairs of female twins, and 126 opposite-sex pairs of DZ twins] completed items concerning height and weight through a mail and a telephone survey. A general sex-limitation model was applied to the data. Heritability estimate was greater among women than among men. However, there was little evidence of sex-specific genes. Under the best-fitting model, additive genetic variances were 82% [95% confidence interval (CI): 72% to 95%] for men and 87% (95% CI: 77% to 99%) for women; shared environmental variances were negligible in both men and women. These estimates of genetic and environmental factors in BMI found among South Korean adolescent twins were broadly in the range of those reported in previous studies of BMI based on Western twin samples.
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Affiliation(s)
- Yoon-Mi Hur
- Medical Research Center, Seoul National University, Seoul, South Korea.
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14
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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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15
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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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