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Trang KB, Pahl MC, Pippin JA, Su C, Littleton SH, Sharma P, Kulkarni NN, Ghanem LR, Terry NA, O’Brien JM, Wagley Y, Hankenson KD, Jermusyk A, Hoskins JW, Amundadottir LT, Xu M, Brown KM, Anderson SA, Yang W, Titchenell PM, Seale P, Cook L, Levings MK, Zemel BS, Chesi A, Wells AD, Grant SF. 3D genomic features across >50 diverse cell types reveal insights into the genomic architecture of childhood obesity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.08.30.23294092. [PMID: 37693606 PMCID: PMC10491377 DOI: 10.1101/2023.08.30.23294092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
The prevalence of childhood obesity is increasing worldwide, along with the associated common comorbidities of type 2 diabetes and cardiovascular disease in later life. Motivated by evidence for a strong genetic component, our prior genome-wide association study (GWAS) efforts for childhood obesity revealed 19 independent signals for the trait; however, the mechanism of action of these loci remains to be elucidated. To molecularly characterize these childhood obesity loci we sought to determine the underlying causal variants and the corresponding effector genes within diverse cellular contexts. Integrating childhood obesity GWAS summary statistics with our existing 3D genomic datasets for 57 human cell types, consisting of high-resolution promoter-focused Capture-C/Hi-C, ATAC-seq, and RNA-seq, we applied stratified LD score regression and calculated the proportion of genome-wide SNP heritability attributable to cell type-specific features, revealing pancreatic alpha cell enrichment as the most statistically significant. Subsequent chromatin contact-based fine-mapping was carried out for genome-wide significant childhood obesity loci and their linkage disequilibrium proxies to implicate effector genes, yielded the most abundant number of candidate variants and target genes at the BDNF, ADCY3, TMEM18 and FTO loci in skeletal muscle myotubes and the pancreatic beta-cell line, EndoC-BH1. One novel implicated effector gene, ALKAL2 - an inflammation-responsive gene in nerve nociceptors - was observed at the key TMEM18 locus across multiple immune cell types. Interestingly, this observation was also supported through colocalization analysis using expression quantitative trait loci (eQTL) derived from the Genotype-Tissue Expression (GTEx) dataset, supporting an inflammatory and neurologic component to the pathogenesis of childhood obesity. Our comprehensive appraisal of 3D genomic datasets generated in a myriad of different cell types provides genomic insights into pediatric obesity pathogenesis.
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Affiliation(s)
- Khanh B. Trang
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Matthew C. Pahl
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - James A. Pippin
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Chun Su
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sheridan H. Littleton
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Prabhat Sharma
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Nikhil N. Kulkarni
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Louis R. Ghanem
- Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia, PA, USA
| | - Natalie A. Terry
- Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia, PA, USA
| | - Joan M. O’Brien
- Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, PA, USA
- Penn Medicine Center for Ophthalmic Genetics in Complex Disease
| | - Yadav Wagley
- Department of Orthopedic Surgery University of Michigan Medical School Ann Arbor, MI, USA
| | - Kurt D. Hankenson
- Department of Orthopedic Surgery University of Michigan Medical School Ann Arbor, MI, USA
| | - Ashley Jermusyk
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jason W. Hoskins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Laufey T. Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mai Xu
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kevin M Brown
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Stewart A. Anderson
- Department of Child and Adolescent Psychiatry, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wenli Yang
- Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul M. Titchenell
- Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Patrick Seale
- Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura Cook
- Department of Microbiology and Immunology, University of Melbourne, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Department of Critical Care, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Division of Infectious Diseases, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Megan K. Levings
- Department of Surgery, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
| | - Babette S. Zemel
- Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alessandra Chesi
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew D. Wells
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Struan F.A. Grant
- Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Parkinson EW, Stoddart S, Sparacello V, Bertoldi F, Fonzo O, Malone C, Marini E, Martinet F, Moggi-Cecchi J, Pacciani E, Raiteri L, Stock JT. Multiproxy bioarchaeological data reveals interplay between growth, diet and population dynamics across the transition to farming in the central Mediterranean. Sci Rep 2023; 13:21965. [PMID: 38081902 PMCID: PMC10713518 DOI: 10.1038/s41598-023-49406-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/07/2023] [Indexed: 12/18/2023] Open
Abstract
The transition to farming brought on a series of important changes in human society, lifestyle, diet and health. The human bioarchaeology of the agricultural transition has received much attention, however, relatively few studies have directly tested the interrelationship between individual lifestyle factors and their implications for understanding life history changes among the first farmers. We investigate the interplay between skeletal growth, diet, physical activity and population size across 30,000 years in the central Mediterranean through a 'big data' cross-analysis of osteological data related to stature (n = 361), body mass (n = 334) and long bone biomechanics (n = 481), carbon (δ13C) and nitrogen (δ15N) stable isotopes (n = 1986 human, n = 475 animal) and radiocarbon dates (n = 5263). We present the observed trends on a continuous timescale in order to avoid grouping our data into assigned 'time periods', thus achieving greater resolution and chronological control over our analysis. The results identify important changes in human life history strategies associated with the first farmers, but also highlight the long-term nature of these trends in the millennia either side of the agricultural transition. The integration of these different data is an important step towards disentangling the complex relationship between demography, diet and health, and reconstruct life history changes within a southern European context. We believe the methodological approach adopted here has broader global implications for bioarchaeological studies of human adaptation more generally.
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Affiliation(s)
- E W Parkinson
- Archaeology & Palaeoecology, Queen's University Belfast, Belfast, UK.
| | - S Stoddart
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - V Sparacello
- Dipartimento di Scienze della vita e dell'ambiente, Università degli Studi di Cagliari, Cagliari, Italy
| | - F Bertoldi
- Dipartimento di Studi Umanistici, Università Ca Foscari Venezia, Venice, Italy
| | - O Fonzo
- Museo Archeologico "Genna Maria" di Villanovaforru, Villanovaforru, Italy
| | - C Malone
- Archaeology & Palaeoecology, Queen's University Belfast, Belfast, UK
| | - E Marini
- Dipartimento di Scienze della vita e dell'ambiente, Università degli Studi di Cagliari, Cagliari, Italy
| | - F Martinet
- Soprintendenza per i beni e le Attività Culturali della Valle d'Aosta, Aosta, Italy
| | - J Moggi-Cecchi
- Dipartimento Di Biologia, Università degli Studi Firenze, Florence, Italy
| | - E Pacciani
- Soprintendenza Archeologia, Belle Arti e Paesaggio di Firenze, Pistoia e Prato, Florence, Italy
| | - L Raiteri
- Soprintendenza per i beni e le Attività Culturali della Valle d'Aosta, Aosta, Italy
| | - J T Stock
- Department of Anthropology, Western University, London, Canada
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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] [Received: 02/04/2022] [Accepted: 07/04/2022] [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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Bhandari P, Gayawan E. Examining Spatial Heterogeneity and Potential Risk Factors of Childhood Undernutrition in High-Focus Empowered Action Group (EAG) States of India. SPATIAL DEMOGRAPHY 2022. [DOI: 10.1007/s40980-022-00108-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Dubois L, Feng C, Bédard B, Yu Y, Luo ZC, Marc I, Fraser WD. Breast-feeding, rapid growth in the first year of life and excess weight at the age of 2 years: the 3D Cohort Study. Public Health Nutr 2022; 25:1-11. [PMID: 34991752 PMCID: PMC9991789 DOI: 10.1017/s1368980022000015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 11/08/2021] [Accepted: 01/04/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To assess relationships between breast-feeding, rapid growth in the first year of life and overweight/obesity status at the age of 2 years. DESIGN As part of an observational, longitudinal study beginning in early pregnancy, multivariable logistic regressions were used to assess associations between breast-feeding duration (total and exclusive) and rapid weight gain (RWG) between birth and 1 year of age, and to determine predictors of overweight/obesity status at the age of 2 years. SETTING Nine hospitals located in the province of Quebec, Canada. PARTICIPANTS A sample of 1599 term infants who participated in the 3D Cohort Study. RESULTS Children having RWG in the first year and those having excess weight at the age of 2 years accounted for 28 % and < 10 %, respectively. In multivariable models, children breastfed < 6 months and from 6 months to < 1 year were, respectively, 2·5 times (OR 2·45; 95 % CI 1·76, 3·41) and 1·8 times (OR 1·78; 95 % CI 1·29, 2·45) more likely to show RWG up to 1 year of age compared to children breastfed ≥ 1 year. Children exclusively breastfed < 3 months had significantly greater odds of RWG in the first year (OR 1·94; 95 % CI 1·25, 3·04) compared to children exclusively breastfed for ≥ 6 months. Associations between breast-feeding duration (total or exclusive) and excess weight at the age of 2 years were not detected. RWG in the first year was found to be the main predictor of excess weight at the age of 2 years (OR 6·98; 95 % CI 4·35, 11·47). CONCLUSIONS The potential beneficial effects of breast-feeding on rate of growth in the first year of life suggest that interventions promoting breast-feeding are relevant for obesity prevention early in life.
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Affiliation(s)
- Lise Dubois
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ONK1G 5Z3, Canada
| | - Cindy Feng
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ONK1G 5Z3, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Canada
| | - Brigitte Bédard
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ONK1G 5Z3, Canada
| | - Yamei Yu
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ONK1G 5Z3, Canada
| | - Zhong-Cheng Luo
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
- Department of Obstetrics and Gynecology, Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Isabelle Marc
- Centre de recherche du CHU de Québec, Université Laval, Québec, Canada
| | - William D Fraser
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
- Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Sherbrooke, Canada
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Paduano S, Borsari L, Salvia C, Arletti S, Tripodi A, Pinca J, Borella P. Risk Factors for Overweight and Obesity in Children Attending the First Year of Primary Schools in Modena, Italy. J Community Health 2021; 45:301-309. [PMID: 31522302 DOI: 10.1007/s10900-019-00741-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Over the last four decades, childhood overweight/obesity has dramatically increased, becoming a significant public health concern. The main aims of this study were to investigate the prevalence of overweight/obesity among first-year primary schools children in Modena and to identify the associated risk factors. Data were collected on the socio-demographic characteristics of family and weight, height, dietary habits and sedentary behaviours of the children, and on the parents' perception of their child's weight status, through an anonymous questionnaire administered to parents. The questionnaires were delivered by 660 out of 890 (74.2%) families, and after excluding those without anthropometric data, 588 children were included in the study. The prevalence of overweight/obesity among the children was 25.2%, significantly lower in children born to parents with a high education, and higher among children born to foreign parents and overweight/obese mothers. The multivariable analysis showed that the children most likely to become overweight/obese were those who skipped breakfast (OR 2.3, 95%CI 1.3-4.2) and/or mid-morning snacks (OR 3.2, 95%CI 1.5-6.5). Breakfast consumption was positively associated with higher parental education levels, whereas skipping mid-morning snacks is more frequent among children born to foreign parents and overweight/obese mothers. Moreover, 84.7% of the parents of overweight/obese children underestimated their child's weight status. One in four 6-7 year-old children is already overweight or obese. Childhood overweight/obesity is significantly associated with unhealthy lifestyles and family lifestyle. It is therefore essential to implement public health intervention programs aimed at both parents and children, in order to promote healthy lifestyles in early childhood.
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Affiliation(s)
- Stefania Paduano
- Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy.
| | - Lucia Borsari
- Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | - Chiara Salvia
- Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Alberto Tripodi
- Department of Public Health, Food Hygiene and Nutrition Service, AUSL Modena, Modena, Italy
| | - Jenny Pinca
- Department of Public Health, Food Hygiene and Nutrition Service, AUSL Modena, Modena, Italy
| | - Paola Borella
- Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, Modena, Italy
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Kryst Ł, Żegleń M, Dasgupta P, Saha R, Das R, Das S. The pace of secular changes of body measurements of children and adolescents from Kolkata (India) in the context of socioeconomic inequalities between the sexes. Am J Hum Biol 2021; 33:e23565. [PMID: 33417260 DOI: 10.1002/ajhb.23565] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/03/2020] [Accepted: 12/23/2020] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVES To examine the pace of secular changes of selected body measurements and proportions of children and adolescents from Kolkata (India), between 1952-1966 and 1999-2011 in the context of differences between the sexes. METHODS The study group consisted of 7753 children, adolescents and young adults (7-21 years of age) included in two series of studies (1952-1966 and 2005-2011). The measurements included: body height, sitting height, biacromial and biiliocristal diameters, as well as body mass. Additionally, subishial leg length was derived. The pace of the observed intergenerational trends was estimated on the basis of the differences of the mean values of the analyzed characteristics between both cohorts and expressed as the change of a given parameter for a decade. Information regarding the educational and professional status of the parents of participants was obtained using a questionnaire. RESULTS In the majority of the analyzed characteristics, the pace of intergenerational changes was significantly higher among males, in comparison to females. It was visible especially during adolescence-between 11 and 19 years of age. The positive trends, especially, for characteristics such as body height or limb lengths occurred significantly quicker in males, in comparison to females. CONCLUSIONS There were significant differences between the sexes in the pace of secular changes regarding the growth of the examined population. Considering the relatively homogenous economic situation of the families of the participants, it was more likely that those discrepancies effected from the social and domestic division of sexes, and the resulting differences in growth and development conditions.
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Affiliation(s)
- Łukasz Kryst
- University of Physical Education, Faculty of Physical Education and Sport, Department of Anthropology, Kraków, Poland
| | - Magdalena Żegleń
- University of Physical Education, Faculty of Physical Education and Sport, Department of Anthropology, Kraków, Poland
| | - Parasmani Dasgupta
- Biological Anthropology Unit, Indian Statistical Institute, Kolkata, India
| | - Rana Saha
- Dinabandhu Mahavidyalaya, Bongaon, India
| | - Rituparna Das
- Biological Anthropology Unit, Indian Statistical Institute, Kolkata, India
| | - Sukanta Das
- Department of Anthropology, North Bengal University, Raja Rammohunpur, India
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Overweight and obesity in Eastern Morocco: Prevalence and associated risk factors among high school students. Rev Epidemiol Sante Publique 2020; 68:295-301. [PMID: 32896444 DOI: 10.1016/j.respe.2020.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 05/28/2020] [Accepted: 06/19/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Overweight and obesity in children and adolescents have become a major public health problem affecting most countries worldwide. The purpose of the study was to assess the prevalence and risk factors of overweight and obesity among public high school students in Eastern Morocco. METHODS A cross-sectional survey was conducted between February and May 2014 among a sample of 2271 students (1086 girls and 1185 boys). References from the International Obesity Task Force (IOTF) were used to determine the prevalence of overweight and obesity. RESULTS The prevalence of overweight and obesity reached 12.2% (14.2% in girls vs 10.4% in boys, P<0.01) and 3.0% (3.1% in girls vs 2.8% in boys), respectively. Risk factors associated with overweight and obesity were urban residence (OR=1.76; [1.18-2.63]; P<0.01), father's income≥5000MAD (OR=1.32; [1.02-1.70]; P<0.05), father's overweight (including obesity) (OR=1.87; [1.38-2.54]; P<0.001) and female sex (OR=1.31; [1.02-1.68]; P<0.05). CONCLUSION The prevalence of overweight/obesity has reached an alarming rate among high school students in the Eastern region of Morocco. The findings of the present study suggest an urgent need to set up a strategy to prevent and combat this epidemic.
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Saers JPP, Ryan TM, Stock JT. Baby steps towards linking calcaneal trabecular bone ontogeny and the development of bipedal human gait. J Anat 2020; 236:474-492. [PMID: 31725189 PMCID: PMC7018636 DOI: 10.1111/joa.13120] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2019] [Indexed: 02/06/2023] Open
Abstract
Trabecular bone structure in adulthood is a product of a process of modelling during ontogeny and remodelling throughout life. Insight into ontogeny is essential to understand the functional significance of trabecular bone structural variation observed in adults. The complex shape and loading of the human calcaneus provides a natural experiment to test the relationship between trabecular morphology and locomotor development. We investigated the relationship between calcaneal trabecular bone structure and predicted changes in loading related to development of gait and body size in growing children. We sampled three main trabecular regions of the calcanei using micro-computed tomography scans of 35 individuals aged between neonate to adult from the Norris Farms #36 site (1300 AD, USA) and from Cambridge (1200-1500 AD, UK). Trabecular properties were calculated in volumes of interest placed beneath the calcaneocuboid joint, plantar ligaments, and posterior talar facet. At birth, thin trabecular struts are arranged in a dense and relatively isotropic structure. Bone volume fraction strongly decreases in the first year of life, whereas anisotropy and mean trabecular thickness increase. Dorsal compressive trabecular bands appear around the onset of bipedal walking, although plantar tensile bands develop prior to predicted propulsive toe-off. Bone volume fraction and anisotropy increase until the age of 8, when gait has largely matured. Connectivity density gradually reduces, whereas trabeculae gradually thicken from birth until adulthood. This study demonstrates that three different regions of the calcaneus develop into distinct adult morphologies through varying developmental trajectories. These results are similar to previous reports of ontogeny in human long bones and are suggestive of a relationship between the mechanical environment and trabecular bone architecture in the human calcaneus during growth. However, controlled experiments combined with more detailed biomechanical models of gait maturation are necessary to establish skeletal markers linking growth to loading. This has the potential to be a novel source of information for understanding loading levels, activity patterns, and perhaps life history in the fossil record.
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Affiliation(s)
- Jaap P. P. Saers
- Department of ArchaeologyMcDonald Institute for Archaeological ResearchUniversity of CambridgeCambridgeUK
| | - Timothy M. Ryan
- Department of AnthropologyPennsylvania State UniversityState CollegePAUSA
| | - Jay T. Stock
- Department of ArchaeologyMcDonald Institute for Archaeological ResearchUniversity of CambridgeCambridgeUK
- Department of AnthropologyUniversity of Western OntarioLondonONCanada
- Department of ArchaeologyMax Planck Institute for the Science of Human HistoryJenaGermany
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Abstract
BACKGROUND Genetic and environmental influences on anthropometric measures can be investigated by comparing dizygotic (DZ) versus monozygotic (MZ) twins. Investigating cohorts living in different geographical areas across the globe can identify the variation in heritability versus environment. AIMS (1) To investigate the association between birth weight and anthropometric measurements during adulthood; (2) to study the genetic and environmental influences on body measures including birth weight, weight and height among twins; and (3) to assess the variation in heritability versus environment among two cohorts of twins who lived in different geographical areas. SUBJECTS AND METHODS Twins were collected from two twin registers. Data on birth weight, adult weight and height in 430 MZ and 170 DZ twins living in two geographically distinct parts of the world were collected. A genetic analysis was performed using MX software. RESULTS Birth weight was associated with weight, height and BMI. Both MZ and DZ twins with low birth weight had shorter height during their adult life (p = 0.001), but only MZ twins with lower birth weight were lighter at adulthood (p = 0.001). Intra-pair differences in birth weight were not associated with differences in adult height (p = 0.366) or weight (p = 0.796). Additive genetic effects accounted for 53% of the variance in weight, 43% in height and 55% in birth weight. The remaining variance was attributed to unique environmental effects (15% for weight, 13% for height and 45% for birth weight and only 16% for BMI). Variability was found to be different in the two cohorts. The best fitting model for birth weight and BMI was additive genetic and non-shared environment and for weight and height was additive genetic, non-shared environment (plus common Environment). CONCLUSIONS Data suggests that the association between weight at birth and anthropometric measures in later life is influenced by both genetic and environmental factors. Living in different environments can potentially relate to variation found in the environment.
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Affiliation(s)
- Shayesteh Jahanfar
- a MPH Program, Public Health Department , Central Michigan University , Mount Pleasant , MI , USA
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11
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Genetic and Environmental Effects on Weight, Height, and BMI Under 18 Years in a Chinese Population-Based Twin Sample. Twin Res Hum Genet 2016; 18:571-80. [PMID: 26379063 DOI: 10.1017/thg.2015.63] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
This study examined the genetic and environmental effects on variances in weight, height, and body mass index (BMI) under 18 years in a population-based sample from China. We selected 6,644 monozygotic and 5,969 dizygotic twin pairs from the Chinese National Twin Registry (CNTR) aged under 18 years (n = 12,613). Classic twin analyses with sex limitation were used to estimate the genetic and environmental components of weight, height, and BMI in six age groups. Sex-limitation of genetic and shared environmental effects was observed, especially when puberty begins. Heritability for weight, height, and BMI was low at 0-2 years old (less than 20% for both sexes) but increased over time, accounting for half or more of the variance in the 15-17 year age group for boys. For girls, heritabilities for weight, height and BMI was maintained at approximately 30% after puberty. Common environmental effects on all body measures were high for girls (59-87%) and presented a small peak during puberty. Genetics appear to play an increasingly important role in explaining the variation in weight, height, and BMI from early childhood to late adolescence, particularly in boys. Common environmental factors exert their strongest and most independent influence specifically in the pre-adolescent period and more significantly in girls. These findings emphasize the need to target family and social environmental interventions in early childhood years, especially for females. Further studies about puberty-related genes and social environment are needed to clarify the mechanism of sex differences.
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12
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Jelenkovic A, Sund R, Hur YM, Yokoyama Y, Hjelmborg JVB, Möller S, Honda C, Magnusson PKE, Pedersen NL, Ooki S, Aaltonen S, Stazi MA, Fagnani C, D’Ippolito C, Freitas DL, Maia JA, Ji F, Ning F, Pang Z, Rebato E, Busjahn A, Kandler C, Saudino KJ, Jang KL, Cozen W, Hwang AE, Mack TM, Gao W, Yu C, Li L, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Heikkilä K, Wardle J, Llewellyn CH, Fisher A, McAdams TA, Eley TC, Gregory AM, He M, Ding X, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Tarnoki AD, Tarnoki DL, Knafo-Noam A, Mankuta D, Abramson L, Burt SA, Klump KL, Silberg JL, Eaves LJ, Maes HH, Krueger RF, McGue M, Pahlen S, Gatz M, Butler DA, Bartels M, van Beijsterveldt TCEM, Craig JM, Saffery R, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Martin NG, Medland SE, Montgomery GW, Swan GE, Krasnow R, Tynelius P, Lichtenstein P, Haworth CMA, Plomin R, Bayasgalan G, Narandalai D, Harden KP, Tucker-Drob EM, Spector T, Mangino M, Lachance G, Baker LA, Tuvblad C, Duncan GE, Buchwald D, Willemsen G, Skytthe A, Kyvik KO, Christensen K, Öncel SY, Aliev F, Rasmussen F, Goldberg JH, Sørensen TIA, Boomsma DI, Kaprio J, Silventoinen K. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts. Sci Rep 2016; 6:28496. [PMID: 27333805 PMCID: PMC4917845 DOI: 10.1038/srep28496] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 06/02/2016] [Indexed: 01/05/2023] Open
Abstract
Height variation is known to be determined by both genetic and environmental factors, but a systematic description of how their influences differ by sex, age and global regions is lacking. We conducted an individual-based pooled analysis of 45 twin cohorts from 20 countries, including 180,520 paired measurements at ages 1-19 years. The proportion of height variation explained by shared environmental factors was greatest in early childhood, but these effects remained present until early adulthood. Accordingly, the relative genetic contribution increased with age and was greatest in adolescence (up to 0.83 in boys and 0.76 in girls). Comparing geographic-cultural regions (Europe, North-America and Australia, and East-Asia), genetic variance was greatest in North-America and Australia and lowest in East-Asia, but the relative proportion of genetic variation was roughly similar across these regions. Our findings provide further insights into height variation during childhood and adolescence in populations representing different ethnicities and exposed to different environments.
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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
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Jacob v. B. Hjelmborg
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Sören Möller
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Chika Honda
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - 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
| | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Sari Aaltonen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - 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
| | - Duarte L. Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | | | - 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
| | | | | | - Kimberly J. Saudino
- Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA
| | - Kerry L. Jang
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Amie E. Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Thomas M. Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - 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 J. F. 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
| | - Kauko Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - 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
| | - Tom A. McAdams
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Thalia C. Eley
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Alice M. Gregory
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Xiaohu Ding
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - 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
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | | | | | - Judy L. Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Lindon J. Eaves
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hermine H. Maes
- Department of Human and Molecular Genetics, Psychiatry & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - 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
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - David A. Butler
- Institute of Medicine, National Academy of Sciences, Washington, DC, USA
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | | | - 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
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Michel Boivin
- École de psychologie, Université Laval, Québec, Canada
- Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Russian Federation
| | - 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, Australia
| | - Sarah E. Medland
- Genetic Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Grant W. Montgomery
- Molecular Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Gary E. Swan
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ruth Krasnow
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Per Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Robert Plomin
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, 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
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Genevieve Lachance
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Laura A. Baker
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- School of Law, Psychology and Social Work, Örebro University, Sweden
| | - Glen E. Duncan
- Washington State Twin Registry, Washington State University - Health Sciences Spokane, Spokane, WA, USA
| | - Dedra Buchwald
- Washington State Twin Registry, Washington State University, Seattle, WA, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Axel Skytthe
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Kirsten O. Kyvik
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology and Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Sevgi Y. Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, Turkey
| | - Fazil Aliev
- Departments of Psychiatry, Psychology, and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, USA
| | - Finn Rasmussen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Jack H. Goldberg
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Thorkild I. A. 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
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, 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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13
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Keitel-Korndörfer A, Bergmann S, Nolte T, Wendt V, von Klitzing K, Klein AM. Maternal mentalization affects mothers’ – but not children’s – weight via emotional eating. Attach Hum Dev 2016; 18:487-507. [DOI: 10.1080/14616734.2016.1196376] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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14
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Macintosh AA, Pinhasi R, Stock JT. Early Life Conditions and Physiological Stress following the Transition to Farming in Central/Southeast Europe: Skeletal Growth Impairment and 6000 Years of Gradual Recovery. PLoS One 2016; 11:e0148468. [PMID: 26844892 PMCID: PMC4742066 DOI: 10.1371/journal.pone.0148468] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 01/17/2016] [Indexed: 11/18/2022] Open
Abstract
Early life conditions play an important role in determining adult body size. In particular, childhood malnutrition and disease can elicit growth delays and affect adult body size if severe or prolonged enough. In the earliest stages of farming, skeletal growth impairment and small adult body size are often documented relative to hunter-gatherer groups, though this pattern is regionally variable. In Central/Southeast Europe, it is unclear how early life stress, growth history, and adult body size were impacted by the introduction of agriculture and ensuing long-term demographic, social, and behavioral change. The current study assesses this impact through the reconstruction and analysis of mean stature, body mass, limb proportion indices, and sexual dimorphism among 407 skeletally mature men and women from foraging and farming populations spanning the Late Mesolithic through Early Medieval periods in Central/Southeast Europe (~7100 calBC to 850 AD). Results document significantly reduced mean stature, body mass, and crural index in Neolithic agriculturalists relative both to Late Mesolithic hunter-gatherer-fishers and to later farming populations. This indication of relative growth impairment in the Neolithic, particularly among women, is supported by existing evidence of high developmental stress, intensive physical activity, and variable access to animal protein in these early agricultural populations. Among subsequent agriculturalists, temporal increases in mean stature, body mass, and crural index were more pronounced among Central European women, driving declines in the magnitude of sexual dimorphism through time. Overall, results suggest that the transition to agriculture in Central/Southeast Europe was challenging for early farming populations, but was followed by gradual amelioration across thousands of years, particularly among Central European women. This sex difference may be indicative, in part, of greater temporal variation in the social status afforded to young girls, in their access to resources during growth, and/or in their health status than was experienced by men.
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Affiliation(s)
- Alison A. Macintosh
- PAVE Research Group, Division of Biological Anthropology, Department of Archaeology & Anthropology, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
| | - Ron Pinhasi
- Earth Institute and School of Archaeology, Newman Building, University College Dublin, Dublin, Ireland
| | - Jay T. Stock
- PAVE Research Group, Division of Biological Anthropology, Department of Archaeology & Anthropology, University of Cambridge, Cambridge, United Kingdom
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15
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Waszak M, Cieślik K, Skrzypczak-Zielińska M, Szalata M, Wielgus K, Kempiak J, Bręborowicz G, Słomski R. Ecosensitivity and genetic polymorphism of somatic traits in the perinatal development of twins. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2015; 67:138-49. [PMID: 26619791 DOI: 10.1016/j.jchb.2015.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Accepted: 07/26/2015] [Indexed: 11/27/2022]
Abstract
In view of criticism regarding the usefulness of heritability coefficients, the aim of this study was to analyze separately the information on genetic and environmental variability. Such an approach, based on the normalization of trait's variability for its value, is determined by the coefficients of genetic polymorphism (Pg) and ecosensitivity (De). The studied material included 1263 twin pairs of both sexes (among them 424 pairs of monozygotic twins and 839 pairs of dizygotic twins) born between the 22nd and 41st week of gestation. Variability of six somatic traits was analyzed. The zygosity of same-sex twins was determined based on the polymorphism of DNA from lymphocytes of the umbilical cord blood, obtained at birth. The coefficients of genetic polymorphism and ecosensitivity for analyzed traits of male and female twins born at various months of gestation were calculated. Our study revealed that a contribution of the genetic component predominated over that of the environmental component in determining the phenotypic variability of somatic traits of newborns from twin pregnancies. The genetically determined phenotypic variability in male twins was greater than in the females. The genetic polymorphism and ecosensitivity of somatic traits were relatively stable during the period of fetal ontogeny analyzed in this study. Only in the case of body weight, a slight increase in the genetic contribution of polygenes to the phenotypic variance could be observed with gestational age, along with a slight decrease in the influence of 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 Gynaecology in Poznan, University of Medical Sciences, Polna 33, 60-535 Poznań, Poland
| | - Grzegorz Bręborowicz
- Department of Perinatology and Gynaecology in Poznan, 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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Burkett KM, Roy-Gagnon MH, Lefebvre JF, Wang C, Fontaine-Bisson B, Dubois L. A Comparison of Statistical Methods for the Discovery of Genetic Risk Factors Using Longitudinal Family Study Designs. Front Immunol 2015; 6:589. [PMID: 26635803 PMCID: PMC4652172 DOI: 10.3389/fimmu.2015.00589] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Accepted: 11/02/2015] [Indexed: 01/04/2023] Open
Abstract
The etiology of immune-related diseases or traits is often complex, involving many genetic and environmental factors and their interactions. While methodological approaches focusing on an outcome measured at one time point have succeeded in identifying genetic factors involved in immune-related traits, they fail to capture complex disease mechanisms that fluctuate over time. It is increasingly recognized that longitudinal studies, where an outcome is measured at multiple time points, have great potential to shed light on complex disease mechanisms involving genetic factors. However, longitudinal data require specialized statistical methods, especially in family studies where multiple sources of correlation in the data must be modeled. Using simulated data with known genetic effects, we examined the performance of different analytical methods for investigating associations between genetic factors and longitudinal phenotypes in twin data. The simulations were modeled on data from the Québec Newborn Twin Study, an ongoing population-based longitudinal study of twin births with multiple phenotypes, such as cortisol levels and body mass index, collected multiple times in infancy and early childhood and with sequencing data on immune-related genes and pathways. We compared approaches that we classify as (1) family-based methods applied to summaries of the observations over time, (2) longitudinal-based methods with simplifications of the familial correlation, and (3) Bayesian family-based method with simplifications of the temporal correlation. We found that for estimation of the genetic main and interaction effects, all methods gave estimates close to the true values and had similar power. If heritability estimation is desired, approaches of type (1) also provide heritability estimates close to the true value. Our work shows that the simpler approaches are likely adequate to detect genetic effects; however, interpretation of these effects is more challenging.
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Affiliation(s)
- Kelly M Burkett
- Department of Mathematics and Statistics, University of Ottawa , Ottawa, ON , Canada
| | - Marie-Hélène Roy-Gagnon
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa , Ottawa, ON , Canada
| | - Jean-François Lefebvre
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa , Ottawa, ON , Canada
| | - Cheng Wang
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa , Ottawa, ON , Canada
| | | | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa , Ottawa, ON , Canada
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Abstract
There is growing concern about elevated blood pressure (BP) in children. The evidence for familial aggregation of childhood BP is substantial. Twin studies have shown that a large part of the familial aggregation of childhood BP is due to genes. The first part of this review provides the latest progress in gene finding for childhood BP, focusing on the combined effects of multiple loci identified from the genome-wide association studies on adult BP. We further review the evidence on the contribution of the genetic components of other family risk factors to the familial aggregation of childhood BP including obesity, birth weight, sleep quality, sodium intake, parental smoking, and socioeconomic status. At the end, we emphasize the promise of using genomic-relatedness-matrix restricted maximum likelihood (GREML) analysis, a method that uses genome-wide data from unrelated individuals, in answering a number of unsolved questions in the familial aggregation of childhood BP.
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Affiliation(s)
- Xiaoling Wang
- Georgia Prevention Center, Medical College of Georgia, Georgia Regents University, HS-1640, Augusta, GA, 30912, USA,
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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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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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Khan RJ, Gebreab SY, Riestra P, Xu R, Davis SK. Parent-offspring association of metabolic syndrome in the Framingham Heart Study. Diabetol Metab Syndr 2014; 6:140. [PMID: 25584075 PMCID: PMC4290436 DOI: 10.1186/1758-5996-6-140] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 12/10/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is a clustering of five metabolic risk factors including abdominal obesity, elevated blood pressure, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), and impaired fasting glucose. Few studies have fully reported the strength of clustering of these risk factors in a parent-offspring relationship. This analysis describes the associations between parents and their adult offspring in regard to MetS. It also estimates the association between each risk factor in parents and the presence of MetS in their offspring. METHODS We analyzed data for 1193 offspring (565 sons, and 628 daughters) from the Framingham Offspring Study who attended examinations 5, 6, and 7. Information about their parents was collected from examinations 13, 14 and 15 of the Framingham Original Cohort study. We used pedigree file to combine parental and offspring's data. Participants were classified as having the MetS according to the Adult Treatment Panel III criteria. Analyses were conducted separately for mothers and fathers. Logistic regression was used to estimate the associations. RESULTS After adjusting for age, education, smoking, alcohol consumption and physical activity level of offspring, no significant association was found between father's and their offspring's MetS. Mother's MetS was significantly and positively associated with their daughter's MetS (adjusted odds ratio or adj OR: 1.63; 95% confidence Interval, CI:1.02-2.61), but not with their sons' MetS. When analyzed by individual components, maternal impaired glucose (adj OR: 2.03; 95% CI: 1.02- 9.31), abdominal obesity (adj OR: 1.56; 95% CI: 0.98- 2.55) and low HDL-C (adj OR: 2.12; 95% CI: 1.36-3.32) were associated daughter's MetS. Maternal low HDL-C and raised total cholesterol showed marginal association with son's MetS. For fathers, only impaired glucose (adj OR: 4.91; 95% CI: 2.07- 11.68) was associated with their daughter's MetS. CONCLUSIONS Using the data from Framingham Heart Study, we demonstrate differential association of MetS and its components between parents and offspring. Mother's MetS was strongly related with daughter's MetS, but the association was inconsistent with son's MetS. No association was found between father's MetS and offspring's Mets. These results provide evidence that daughters with mother's MetS are in higher risk than daughters or sons with father's MetS.
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Affiliation(s)
- Rumana J Khan
- Cardiovascular Section, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Human Genome Research Institute, 10 Center Drive, Room 7 N316 MSC 1644, Bethesda, MD 20892 USA
| | - Samson Y Gebreab
- Cardiovascular Section, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Human Genome Research Institute, 10 Center Drive, Room 7 N316 MSC 1644, Bethesda, MD 20892 USA
| | - Pia Riestra
- Cardiovascular Section, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Human Genome Research Institute, 10 Center Drive, Room 7 N316 MSC 1644, Bethesda, MD 20892 USA
| | - Ruihua Xu
- Cardiovascular Section, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Human Genome Research Institute, 10 Center Drive, Room 7 N316 MSC 1644, Bethesda, MD 20892 USA
| | - Sharon K Davis
- Cardiovascular Section, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Human Genome Research Institute, 10 Center Drive, Room 7 N316 MSC 1644, Bethesda, MD 20892 USA
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Poschmann G, Seyfarth K, Besong Agbo D, Klafki HW, Rozman J, Wurst W, Wiltfang J, Meyer HE, Klingenspor M, Stühler K. High-Fat Diet Induced Isoform Changes of the Parkinson’s Disease Protein DJ-1. J Proteome Res 2014; 13:2339-51. [DOI: 10.1021/pr401157k] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Gereon Poschmann
- Heinrich-Heine-Universität Düsseldorf, Molecular Proteomics
Laboratory, Biomedizinisches Forschungszentrum (BMFZ), Düsseldorf, Germany
| | - Katrin Seyfarth
- Chair for Molecular Nutritional Medicine, Else Kröner-Fresenius- Zentrum (EKFZ) & Research Center for Nutrition and Food Sciences (ZIEL), Technische Universität München, Freising, Germany
| | - Daniela Besong Agbo
- LVR-Hospital
Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Hans-Wolfgang Klafki
- LVR-Hospital
Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
| | - Jan Rozman
- Chair for Molecular Nutritional Medicine, Else Kröner-Fresenius- Zentrum (EKFZ) & Research Center for Nutrition and Food Sciences (ZIEL), Technische Universität München, Freising, Germany
| | - Wolfgang Wurst
- Max-Planck-Institute
of Psychiatry, München, Germany
- Helmholtz Zentrum
München, Institute of Developmental Genetics, Neuherberg, Germany
- Lehrstuhl
für Entwicklungsgenetik, Technische Universität München, Munich, Germany
- Deutsches Zentrum
für Neurodegenerative Erkrankungen e. V. (DZNE), Munich, Germany
| | - Jens Wiltfang
- LVR-Hospital
Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany
- Department
of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Göttingen, Germany
| | - Helmut E. Meyer
- Medizinisches
Proteom-Center, Ruhr-Universität Bochum, Bochum, Germany
- Leibniz-Institut
für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany
| | - Martin Klingenspor
- Chair for Molecular Nutritional Medicine, Else Kröner-Fresenius- Zentrum (EKFZ) & Research Center for Nutrition and Food Sciences (ZIEL), Technische Universität München, Freising, Germany
| | - Kai Stühler
- Heinrich-Heine-Universität Düsseldorf, Molecular Proteomics
Laboratory, Biomedizinisches Forschungszentrum (BMFZ), Düsseldorf, Germany
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Grube M, Bergmann S, Keitel A, Herfurth-Majstorovic K, Wendt V, von Klitzing K, Klein AM. Obese parents--obese children? Psychological-psychiatric risk factors of parental behavior and experience for the development of obesity in children aged 0-3: study protocol. BMC Public Health 2013; 13:1193. [PMID: 24341703 PMCID: PMC3878572 DOI: 10.1186/1471-2458-13-1193] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2013] [Accepted: 12/09/2013] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The incidences of childhood overweight and obesity have increased substantially and with them the prevalence of associated somatic and psychiatric health problems. Therefore, it is important to identify modifiable risk factors for early childhood overweight in order to develop effective prevention or intervention programs. Besides biological factors, familial interactions and parental behavioral patterns may influence children's weight development. Longitudinal investigation of children at overweight risk could help to detect significant risk and protective factors. We aim to describe infants' weight development over time and identify risk and protective factors for the incidence of childhood obesity. Based on our findings we will draw up a risk model that will lay the foundation for an intervention/prevention program. METHODS/DESIGN We present the protocol of a prospective longitudinal study in which we investigate families with children aged from 6 months to 47 months. In half of the families at least one parent is obese (risk group), in the other half both parents are normal weight (control group). Based on developmental and health-psychological models, we consider measurements at three levels: the child, the parents and parent-child-relationship. Three assessment points are approximately one year apart. At each assessment point we evaluate the psychological, social, and behavioral situation of the parents as well as the physical and psychosocial development of the child. Parents are interviewed, fill in questionnaires, and take part in standardized interaction tasks with their child in a feeding and in a playing context in our research laboratory. The quality of these video-taped parent-child interactions is assessed by analyzing them with standardized, validated instruments according to scientific standards. DISCUSSION Strengths of the presented study are the prospective longitudinal design, the multi-informant approach, including the fathers, and the observation of parent-child interaction. A limitation is the variation in children's age.
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Affiliation(s)
- Matthias Grube
- Integrated Research and Treatment Center (IFB) AdiposityDiseases, University of Leipzig, Leipzig, Germany
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University of Leipzig, Leipzig, Germany
| | - Sarah Bergmann
- Integrated Research and Treatment Center (IFB) AdiposityDiseases, University of Leipzig, Leipzig, Germany
| | - Anja Keitel
- Integrated Research and Treatment Center (IFB) AdiposityDiseases, University of Leipzig, Leipzig, Germany
| | | | - Verena Wendt
- Integrated Research and Treatment Center (IFB) AdiposityDiseases, University of Leipzig, Leipzig, Germany
| | - Kai von Klitzing
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University of Leipzig, Leipzig, Germany
| | - Annette M Klein
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University of Leipzig, Leipzig, Germany
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Patton IT, McPherson AC. Anthropometric measurements in Canadian children: a scoping review. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2013; 104:e369-74. [PMID: 24183177 PMCID: PMC6974125 DOI: 10.17269/cjph.104.4032] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Revised: 09/18/2013] [Accepted: 09/17/2013] [Indexed: 01/02/2023]
Abstract
OBJECTIVE The objective of the current study was to identify what forms of anthropometric measurement are currently being utilized with Canadian children and youth and what are the gaps in the literature on this topic. METHODS The current study utilized a scoping review methodology in order to achieve the study objectives. Online databases Medline and PubMed and CINAHL were used to search articles from the last decade (2002-2012) that addressed Canadian children aged 2-18 years. SYNTHESIS 50 studies were included in this review. A variety of anthropometric measurements were identified, including body mass index, waist circumference, hip-to-waist ratio, among others. Six of the included studies (12%) utilized nationally representative data from large-scale studies. BMI was the most reported form of measurement with 88% of studies collecting it. Waist circumference was a distant second with 20% of studies reporting it. Several gaps in the literature exist with regards to First Nations (FN) research; many of the measurement methods were not used. Additionally, FN accounted for only 2.5% of the study's sample. The majority of studies took place in Quebec (29%) and Ontario (27%). CONCLUSION Body mass index is the most reported method of anthropometric measurement used for children. Efforts should be taken by health care practitioners and researchers to collect other forms of measurement in order to assist in understanding the validity of other measures and their value when used with children. Furthermore, attention needs to be focused on utilizing and studying various forms of anthropometric measurement across all Canadian regions and populations.
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Linabery AM, Nahhas RW, Johnson W, Choh AC, Towne B, Odegaard AO, Czerwinski SA, Demerath EW. Stronger influence of maternal than paternal obesity on infant and early childhood body mass index: the Fels Longitudinal Study. Pediatr Obes 2013; 8:159-69. [PMID: 23042783 PMCID: PMC3765070 DOI: 10.1111/j.2047-6310.2012.00100.x] [Citation(s) in RCA: 114] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2012] [Revised: 07/26/2012] [Accepted: 08/08/2012] [Indexed: 11/26/2022]
Abstract
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT Excessive early childhood adiposity is a prevalent and increasing concern in many parts of the world. Parental obesity is one of the several factors previously associated with infant and early childhood weight, length and adiposity. Parental obesity represents a surrogate marker of the complex interplay among genetic, epigenetic and shared environmental factors, and is potentially modifiable. The relative contributions of maternal and paternal body mass index (BMI) to infant and early childhood growth, as well as the timing of such effects, have not been firmly established. WHAT THIS STUDY ADDS Utilizing serial infant measurements and growth curve modelling, this is the largest study to fully characterize and formally compare associations between maternal and paternal BMI and offspring growth across the entire infancy and early childhood period. Maternal obesity is a stronger determinant of offspring BMI than paternal obesity at birth and from 2 to 3 years of age, suggesting that prevention efforts focused particularly on maternal lifestyle and BMI may be important in reducing excess infant BMI. The observation that maternal BMI effects are not constant, but rather present at birth, wane and re-emerge during late infancy, suggests that there is a window of opportunity in early infancy when targeted interventions on children of obese mothers may be most effective. BACKGROUND/OBJECTIVE Parental obesity influences infant body size. To fully characterize their relative effects on infant adiposity, associations between maternal and paternal body mass index (BMI) category (normal: ≤25 kg m(-2) , overweight: 25 - <30 kg m(-2) , obese: ≥30 kg m(-2) ) and infant BMI were compared in Fels Longitudinal Study participants. METHODS A median of 9 serial weight and length measures from birth to 3.5 years were obtained from 912 European American children born in 1928-2008. Using multivariable mixed effects regression, contributions of maternal vs. paternal BMI status to infant BMI growth curves were evaluated. Cubic spline models also included parental covariates, infant sex, age and birth variables, and interactions with child's age. RESULTS Infant BMI curves were significantly different across the three maternal BMI categories (Poverall < 0.0001), and offspring of obese mothers had greater mean BMI at birth and between 1.5 and 3.5 years than those of over- and normal weight mothers (P ≤ 0.02). Average differences between offspring of obese and normal weight mothers were similar at birth (0.8 kg m(-2) , P = 0.0009) and between 2 and 3.5 years (0.7-0.8 kg m(-2) , P < 0.0001). Infants of obese fathers also had BMI growth curves distinct from those of normal weight fathers (P = 0.02). Infant BMI was more strongly associated with maternal than paternal obesity overall (P < 0.0001); significant differences were observed at birth (1.11 kg m(-2) , P = 0.006) and from 2 to 3 years (0.62 kg m(-2) , P3 years = 0.02). CONCLUSION At birth and in later infancy, maternal BMI has a stronger influence on BMI growth than paternal BMI, suggesting weight control in reproductive age women may be of particular benefit for preventing excess infant BMI.
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Affiliation(s)
- Amy M. Linabery
- Division of Pediatric Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota 55455
| | - Ramzi W. Nahhas
- Lifespan Health Research Center, Wright State University School of Medicine, Kettering, OH 45420
| | - William Johnson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455
| | - Audrey C. Choh
- Lifespan Health Research Center, Wright State University School of Medicine, Kettering, OH 45420
| | - Bradford Towne
- Lifespan Health Research Center, Wright State University School of Medicine, Kettering, OH 45420
| | - Andrew O. Odegaard
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455
| | - Stefan A. Czerwinski
- Lifespan Health Research Center, Wright State University School of Medicine, Kettering, OH 45420
| | - Ellen W. Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455,To whom correspondence should be addressed, at: Division of Epidemiology and Community Health, University of Minnesota School of Public Health, 1300 S 2nd St, Ste 300, Minneapolis, MN 55454, Telephone: 612-624-8231, Fax: 612-624-0315,
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Garver WS, Newman SB, Gonzales-Pacheco DM, Castillo JJ, Jelinek D, Heidenreich RA, Orlando RA. The genetics of childhood obesity and interaction with dietary macronutrients. GENES AND NUTRITION 2013; 8:271-87. [PMID: 23471855 DOI: 10.1007/s12263-013-0339-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Accepted: 02/22/2013] [Indexed: 12/21/2022]
Abstract
The genes contributing to childhood obesity are categorized into three different types based on distinct genetic and phenotypic characteristics. These types of childhood obesity are represented by rare monogenic forms of syndromic or non-syndromic childhood obesity, and common polygenic childhood obesity. In some cases, genetic susceptibility to these forms of childhood obesity may result from different variations of the same gene. Although the prevalence for rare monogenic forms of childhood obesity has not increased in recent times, the prevalence of common childhood obesity has increased in the United States and developing countries throughout the world during the past few decades. A number of recent genome-wide association studies and mouse model studies have established the identification of susceptibility genes contributing to common childhood obesity. Accumulating evidence suggests that this type of childhood obesity represents a complex metabolic disease resulting from an interaction with environmental factors, including dietary macronutrients. The objective of this article is to provide a review on the origins, mechanisms, and health consequences of obesity susceptibility genes and interaction with dietary macronutrients that predispose to childhood obesity. It is proposed that increased knowledge of these obesity susceptibility genes and interaction with dietary macronutrients will provide valuable insight for individual, family, and community preventative lifestyle intervention, and eventually targeted nutritional and medicinal therapies.
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Affiliation(s)
- William S Garver
- Department of Biochemistry and Molecular Biology, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131-0001, USA,
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Dubois L, Ohm Kyvik K, Girard M, Tatone-Tokuda F, Pérusse D, Hjelmborg J, Skytthe A, Rasmussen F, Wright MJ, Lichtenstein P, Martin NG. Genetic and environmental contributions to weight, height, and BMI from birth to 19 years of age: an international study of over 12,000 twin pairs. PLoS One 2012; 7:e30153. [PMID: 22347368 PMCID: PMC3275599 DOI: 10.1371/journal.pone.0030153] [Citation(s) in RCA: 170] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2011] [Accepted: 12/11/2011] [Indexed: 10/31/2022] Open
Abstract
OBJECTIVE To examine the genetic and environmental influences on variances in weight, height, and BMI, from birth through 19 years of age, in boys and girls from three continents. DESIGN AND SETTINGS Cross-sectional twin study. Data obtained from a total of 23 twin birth-cohorts from four countries: Canada, Sweden, Denmark, and Australia. Participants were Monozygotic (MZ) and dizygotic (DZ) (same- and opposite-sex) twin pairs with data available for both height and weight at a given age, from birth through 19 years of age. Approximately 24,036 children were included in the analyses. RESULTS Heritability for body weight, height, and BMI was low at birth (between 6.4 and 8.7% for boys, and between 4.8 and 7.9% for girls) but increased over time, accounting for close to half or more of the variance in body weight and BMI after 5 months of age in both sexes. Common environmental influences on all body measures were high at birth (between 74.1-85.9% in all measures for boys, and between 74.2 and 87.3% in all measures for girls) and markedly reduced over time. For body height, the effect of the common environment remained significant for a longer period during early childhood (up through 12 years of age). Sex-limitation of genetic and shared environmental effects was observed. CONCLUSION Genetics appear to play an increasingly important role in explaining the variation in weight, height, and BMI from early childhood to late adolescence, particularly in boys. Common environmental factors exert their strongest and most independent influence specifically in pre-adolescent years and more significantly in girls. These findings emphasize the need to target family and social environmental interventions in early childhood years, especially for females. As gene-environment correlation and interaction is likely, it is also necessary to identify the genetic variants that may predispose individuals to obesity.
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Affiliation(s)
- Lise Dubois
- Institute of Population Health, University of Ottawa, Ottawa, Ontario, Canada.
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Brescianini S, Giampietro S, Cotichini R, Lucchini R, De Curtis M. Genetic and environmental components of neonatal weight gain in preterm infants. Pediatrics 2012; 129:e455-9. [PMID: 22218835 DOI: 10.1542/peds.2010-0510] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Postnatal nutrition and subsequent weight gain or failure in the neonatal period are likely regulated by both the environment and the genetic background. With the goal of estimating the variability of postnatal weight gain due to genes and environment, comparison between monozygotic (ie, genetically identical) and dizygotic (genetically similar as 2 siblings) twins can be performed. METHODS This study selected a very homogenous set of monozygotic and dizygotic twins who met the following inclusion criteria: gestational age between 30 and 36 weeks, birth weight between 1250 and 2200 g, and length of stay >12 days. Opposite-gender pairs and pairs that differed >20% in terms of birth weight were excluded from this analysis. The outcome measure of this study was the daily weight gain expressed in grams per kilogram per day during the period between day of birth and day of discharge. The average difference between members of a pair was computed in the 2 groups of twins, and heritability was estimated. RESULTS The within-pair differences of the outcome measure were lower for monozygotic twins than for dizygotic twins, suggesting a strong genetic component. The total variance of the phenotype under study is explained by 2 sources of variation, additive genetic (87% [95% confidence interval: 67% to 94%]) and unique environment (13% [95% confidence interval: 6% to 33%]) components. CONCLUSIONS This high heritability estimate could suggest using this set of criteria to identify genes that regulate postnatal weight gain or failure.
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Affiliation(s)
- Sonia Brescianini
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozionedella Salute, Istituto Superiore di Sanità, Rome, Italy.
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Murrin CM, Kelly GE, Tremblay RE, Kelleher CC. Body mass index and height over three generations: evidence from the Lifeways cross-generational cohort study. BMC Public Health 2012; 12:81. [PMID: 22276639 PMCID: PMC3359190 DOI: 10.1186/1471-2458-12-81] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2011] [Accepted: 01/25/2012] [Indexed: 11/30/2022] Open
Abstract
Background Obesity and its measure of body mass index are strongly determined by parental body size. Debate continues as to whether both parents contribute equally to offspring body mass which is key to understanding the aetiology of the disease. The aim of this study was to use cohort data from three generations of one family to examine the relative maternal and paternal associations with offspring body mass index and how these associations compare with family height to demonstrate evidence of genetic or environmental cross-generational transmission. Methods 669 of 1082 families were followed up in 2007/8 as part of the Lifeways study, a prospective observational cross-generation linkage cohort. Height and weight were measured in 529 Irish children aged 5 to 7 years and were self-reported by parents and grandparents. All adults provided information on self-rated health, education status, and indicators of income, diet and physical activity. Associations between the weight, height, and body mass index of family members were examined with mixed models and heritability estimates computed using linear regression analysis. Results Self-rated health was associated with lower BMI for all family members, as was age for children. When these effects were accounted for evidence of familial associations of BMI from one generation to the next was more apparent in the maternal line. Heritability estimates were higher (h2 = 0.40) for mother-offspring pairs compared to father-offspring pairs (h2 = 0.22). In the previous generation, estimates were higher between mothers-parents (h2 = 0.54-0.60) but not between fathers-parents (h2 = -0.04-0.17). Correlations between mother and offspring across two generations remained significant when modelled with fixed variables of socioeconomic status, health, and lifestyle. A similar analysis of height showed strong familial associations from maternal and paternal lines across each generation. Conclusions This is the first family cohort study to report an enduring association between mother and offspring BMI over three generations. The evidence of BMI transmission over three generations through the maternal line in an observational study corroborates the findings of animal studies. A more detailed analysis of geno and phenotypic data over three generations is warranted to understand the nature of this maternal-offspring relationship.
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Affiliation(s)
- Celine M Murrin
- School of Public Health, Physiotherapy and Population Science, University College Dublin, Woodview House, Belfield, Dublin 4, Ireland.
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Touwslager RN, Gielen M, Mulder AL, Gerver WJ, Zimmermann LJ, Fowler T, Houben AJ, Stehouwer CD, Derom C, Vlietinck R, Loos RJF, Zeegers MP. Changes in genetic and environmental effects on growth during infancy. Am J Clin Nutr 2011; 94:1568-74. [PMID: 22071713 DOI: 10.3945/ajcn.111.012757] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Accelerated infant growth is a possible explanation for the relation between birth weight and adult diseases. OBJECTIVE The aim of this study was to estimate the heritability of infant growth and to examine whether the genetic contribution changes with increasing or decreasing birth weight and gestational age. DESIGN Growth (change in weight z score) was analyzed in 522 infants from the East Flanders Prospective Twin Survey for age windows of 0-1, 1-6, 6-12, and 12-24 mo. Structural equation modeling was performed to estimate the relative importance of additive genetic, shared environmental, and unique environmental sources of variance. RESULTS We showed no genetic contribution to growth in the 0-1-mo growth period. However, at later ages, the heritability of growth was high at 94% (95% CI: 90%, 96%) from 1 to 6 mo, 85% (95% CI: 80%, 89%) from 6 to 12 mo, and 86% (95% CI: 77%, 91%) in the 12-24-mo growth period. Nevertheless, in the last age window, a model without genetic factors was also statistically plausible. From 0 to 1 mo, the genetic contribution to growth was low in the average birth weight range but higher at both extremes of birth weight. The genetic contribution from 0 to 1 mo increased with increasing gestational age from 36 wk of gestation onward. CONCLUSIONS This study shows that genetic factors are not important in early infant growth (0-1 mo), whereas heritability is high after 1 mo. Because many (nutritional) interventions are aimed at influencing early postnatal growth, to target long-term health, these interventions may be most successful if implemented in the first month of postnatal growth.
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Affiliation(s)
- Robbert N Touwslager
- Department of Pediatrics, Nutrition and Toxicology Research Institute Maastricht, School for Nutrition, Toxicology and Metabolism, Netherlands.
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Jelenkovic A, Ortega-Alonso A, Rose RJ, Kaprio J, Rebato E, Silventoinen K. Genetic and environmental influences on growth from late childhood to adulthood: a longitudinal study of two Finnish twin cohorts. Am J Hum Biol 2011; 23:764-73. [PMID: 21957002 DOI: 10.1002/ajhb.21208] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2011] [Revised: 05/11/2011] [Accepted: 06/20/2011] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Human growth is a complex process that remains insufficiently understood. We aimed to analyze genetic and environmental influences on growth from late childhood to early adulthood. METHODS Two cohorts of monozygotic and dizygotic (same sex and opposite sex) Finnish twin pairs were studied longitudinally using self-reported height at 11-12, 14, and 17 years and adult age (FinnTwin12) and at 16, 17, and 18 years and adult age (FinnTwin16). Univariate and multivariate variance component models for twin data were used. RESULTS From childhood to adulthood, genetic differences explained 72-81% of the variation of height in boys and 65-86% in girls. Environmental factors common to co-twins explained 5-23% of the variation of height, with the residual variation explained by environmental factors unique to each twin individual. Common environmental factors affecting height were highly correlated between the analyzed ages (0.72-0.99 and 0.91-1.00 for boys and girls, respectively). Genetic (0.58-0.99 and 0.70-0.99, respectively) and unique environmental factors (0.32-0.78 and 0.54-0.82, respectively) affecting height at different ages were more weakly, but still substantially, correlated. CONCLUSIONS The genetic contribution to height is strong during adolescence. The high genetic correlations detected across the ages encourage further efforts to identify genes affecting growth. Common and unique environmental factors affecting height during adolescence are also important, and further studies are necessary to identify their nature and test whether they interact with genetic factors.
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Affiliation(s)
- Aline Jelenkovic
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country, Bilbao, Spain.
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Johnson L, Llewellyn CH, van Jaarsveld CHM, Cole TJ, Wardle J. Genetic and environmental influences on infant growth: prospective analysis of the Gemini twin birth cohort. PLoS One 2011; 6:e19918. [PMID: 21637764 PMCID: PMC3103521 DOI: 10.1371/journal.pone.0019918] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2011] [Accepted: 04/14/2011] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Infancy is a critical period during which rapid growth potentially programs future disease risk. Identifying the modifiable determinants of growth is therefore important. To capture the complexity of infant growth, we modeled growth trajectories from birth to six months in order to compare the genetic and environmental influences on growth trajectory parameters with single time-point measures at birth, three and six months of age. METHODS Data were from Gemini, a population sample of 2402 UK families with twins. An average 10 weight measurements per child made by health professionals were available over the first six months. Weights at birth, three and six months were identified. Longitudinal growth trajectories were modeled using SITAR utilizing all available weight measures for each child. SITAR generates three parameters: size (characterizing mean weight throughout infancy), tempo (indicating age at peak weight velocity (PWV)), and velocity (reflecting the size of PWV). Genetic and environmental influences were estimated using quantitative genetic analysis. RESULTS In line with previous studies, heritability of weight at birth and three months was low (38%), but it was higher at six months (62%). Heritability of the growth trajectory parameters was high for size (69%) and velocity (57%), but low (35%) for tempo. Common environmental influences predominated for tempo (42%). CONCLUSION Modeled growth parameters using SITAR indicated that size and velocity were primarily under genetic influence but tempo was predominantly environmentally determined. These results emphasize the importance of identifying specific modifiable environmental determinants of the timing of peak infant growth.
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Affiliation(s)
- Laura Johnson
- Cancer Research UK Health Behavior Research Centre, Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Clare H. Llewellyn
- Cancer Research UK Health Behavior Research Centre, Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Cornelia H. M. van Jaarsveld
- Cancer Research UK Health Behavior Research Centre, Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Tim J. Cole
- MRC Centre of Epidemiology for Child Health, Institute of Child Health, University College London, London, United Kingdom
| | - Jane Wardle
- Cancer Research UK Health Behavior Research Centre, Department of Epidemiology and Public Health, University College London, London, United Kingdom
- * E-mail:
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Sanchez-Lara PA, Carmichael SL, Graham JM, Lammer EJ, Shaw GM, Ma C, Rasmussen SA. Fetal constraint as a potential risk factor for craniosynostosis. Am J Med Genet A 2010; 152A:394-400. [PMID: 20101684 DOI: 10.1002/ajmg.a.33246] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Non-syndromic craniosynostosis is multifactorial, and fetal head constraint has been hypothesized as one factor thought to play a role. Data from the National Birth Defects Prevention Study (NBDPS), a large multi-site case-control study of birth defects, were used to evaluate associations between four selected factors related to fetal constraint and craniosynostosis: plurality (twins or higher), macrosomia (birth weight >4,000 g), post-term gestational age (> or =42 weeks), and nulliparity (no previous live births). Case infants (n = 675) had craniosynostosis documented either by radiographic evidence or by surgical intervention. Infants with a recognized or strongly suspected single-gene conditions or chromosomal abnormalities were excluded. Control infants (n = 5,958) had no major birth defects and were randomly selected from the same population as case infants. Logistic regression was used to estimate odds ratios for the association between these four factors and craniosynostosis, while adjusting for several covariates. We found that plurality and nulliparity were associated with a twofold increased risk for metopic craniosynostosis, and macrosomia had almost twice the risk of developing coronal craniosynostosis. Contrary to our hypothesis, prematurity and low birth weight were also associated with craniosynostosis. In conclusion, these four constraint-related factors were not found to be associated with craniosynostosis when all suture types were combined, though some types of craniosynostosis were associated with individual constraint-related factors.
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Affiliation(s)
- Pedro A Sanchez-Lara
- Children's Hospital Los Angeles, Keck School of Medicine at University of Southern California, Los Angeles, California 90027, USA.
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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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Kleiser C, Schaffrath Rosario A, Mensink GBM, Prinz-Langenohl R, Kurth BM. Potential determinants of obesity among children and adolescents in Germany: results from the cross-sectional KiGGS Study. BMC Public Health 2009; 9:46. [PMID: 19187531 PMCID: PMC2642815 DOI: 10.1186/1471-2458-9-46] [Citation(s) in RCA: 137] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2008] [Accepted: 02/02/2009] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obesity among children and adolescents is a growing public health problem. The aim of the present paper is to identify potential determinants of obesity and risk groups among 3- to 17-year old children and adolescents to provide a basis for effective prevention strategies. METHODS Data were collected in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), a nationally representative and comprehensive data set on health behaviour and health status of German children and adolescents. Body height and weight were measured and body mass index (BMI) was classified according to IOTF cut-off points. Statistical analyses were conducted on 13,450 non-underweight children and adolescents aged 3 to 17 years. The association between overweight, obesity and several potential determinants was analysed for this group as well as for three socio-economic status (SES) groups. A multiple logistic regression model with obesity as the dependent variable was also calculated. RESULTS The strongest association with obesity was observed for parental overweight and for low SES. Furthermore, a positive association with both overweight (including obesity) and obesity was seen for maternal smoking during pregnancy, high weight gain during pregnancy (only for mothers of normal weight), high birth weight, and high media consumption. In addition, high intakes of meat and sausages, total beverages, water and tea, total food and beverages, as well as energy-providing food and beverages were significantly associated with overweight as well as with obesity. Long sleep time was negatively associated with obesity among 3- to 10-year olds. Determinants of obesity occurred more often among children and adolescents with low SES. CONCLUSION Parental overweight and a low SES are major potential determinants of obesity. Families with these characteristics should be focused on in obesity prevention.
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Affiliation(s)
- Christina Kleiser
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Seestr. 10, 13353 Berlin, Germany
| | | | - Gert BM Mensink
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Seestr. 10, 13353 Berlin, Germany
| | - Reinhild Prinz-Langenohl
- Department of Nutrition and Food Science, Pathophysiology of the Nutrition, University of Bonn, Endenicher Allee 11-13, 53115 Bonn, Germany
| | - Bärbel-Maria Kurth
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Seestr. 10, 13353 Berlin, Germany
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