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Slob EMA, Longo C, Vijverberg SJH, Beijsterveldt TCEMV, Bartels M, Hottenga JJ, Pijnenburg MW, Koppelman GH, Maitland-van der Zee AH, Dolan CV, Boomsma DI. Persistence of parental-reported asthma at early ages: A longitudinal twin study. Pediatr Allergy Immunol 2022; 33:e13762. [PMID: 35338742 PMCID: PMC9314674 DOI: 10.1111/pai.13762] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 02/20/2022] [Accepted: 02/25/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Currently, we cannot predict whether a pre-school child with asthma-like symptoms will have asthma at school age. Whether genetic information can help in this prediction depends on the role of genetic factors in persistence of pre-school to school-age asthma. We examined to what extent genetic and environmental factors contribute to persistence of asthma-like symptoms at ages 3 to asthma at age 7 using a bivariate genetic model for longitudinal twin data. METHODS We performed a cohort study in monozygotic and dizygotic twins from the Netherlands Twin Register (NTR, n = 21,541 twin pairs). Bivariate genetic models were fitted to longitudinal data on asthma-like symptoms reported by parents at age 3 and 7 years to estimate the contribution of genetic and environmental factors. RESULTS Bivariate genetic modeling showed a correlation on the liability scale between asthma-like symptoms at age 3 and asthma at age 7 of 0.746 and the contribution of genetics was estimated to be 0.917. The genetic analyses indicated a substantial influence of genetic factors on asthma-like symptoms at ages 3 and 7 (heritability 80% and 90%, respectively); hence, contribution of environmental factors was low. Persistence was explained by a high (rg = 0.807) genetic correlation. CONCLUSION Parental-reported asthma-like symptoms at age 3 and asthma at age 7 are highly heritably. The phenotype of asthma-like symptoms at age 3 and 7 was highly correlated and mainly due to heritable factors, indicating high persistence of asthma development over ages 3 and 7.
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Affiliation(s)
- Elise Margaretha Adriana Slob
- Department of Respiratory Medicine, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.,Department of Paediatric Pulmonology, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.,Department of Clinical Pharmacy, Haaglanden Medical Centre, The Hague, The Netherlands
| | - Cristina Longo
- Department of Respiratory Medicine, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Susanne J H Vijverberg
- Department of Respiratory Medicine, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.,Department of Paediatric Pulmonology, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Toos C E M van Beijsterveldt
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jouke Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mariëlle W Pijnenburg
- Department of Paediatrics, Division of Respiratory Medicine and Allergology, ErasmusMC - Sophia Children's Hospital, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Gerard H Koppelman
- Department of Paediatric Pulmonology & Paediatric Allergology, University Medical Centre Groningen, Beatrix Children's Hospital, University of Groningen, Groningen, The Netherlands.,Groningen Research Institute for Asthma & COPD (GRIAC), University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Anke-Hilse Maitland-van der Zee
- Department of Respiratory Medicine, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.,Department of Paediatric Pulmonology, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Conor V Dolan
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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2
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de Vries LP, van Beijsterveldt TCEM, Maes H, Colodro-Conde L, Bartels M. Genetic Influences on the Covariance and Genetic Correlations in a Bivariate Twin Model: An Application to Well-Being. Behav Genet 2021; 51:191-203. [PMID: 33582898 PMCID: PMC8093176 DOI: 10.1007/s10519-021-10046-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 01/21/2021] [Indexed: 01/07/2023]
Abstract
The distinction between genetic influences on the covariance (or bivariate heritability) and genetic correlations in bivariate twin models is often not well-understood or only one is reported while the results show distinctive information about the relation between traits. We applied bivariate twin models in a large sample of adolescent twins, to disentangle the association between well-being (WB) and four complex traits (optimism, anxious-depressed symptoms (AD), aggressive behaviour (AGG), and educational achievement (EA)). Optimism and AD showed respectively a strong positive and negative phenotypic correlation with WB, the negative correlation of WB and AGG is lower and the correlation with EA is nearly zero. All four traits showed a large genetic contribution to the covariance with well-being. The genetic correlations of well-being with optimism and AD are strong and smaller for AGG and EA. We used the results of the models to explain what information is retrieved based on the bivariate heritability versus the genetic correlations and the (clinical) implications.
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Affiliation(s)
- Lianne P de Vries
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, Netherlands.
| | - Toos C E M van Beijsterveldt
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
| | - Hermine Maes
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QL, Australia
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, Netherlands
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3
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Boomsma DI, van Beijsterveldt TCEM, Odintsova VV, Neale MC, Dolan CV. Genetically Informed Regression Analysis: Application to Aggression Prediction by Inattention and Hyperactivity in Children and Adults. Behav Genet 2021; 51:250-263. [PMID: 33259025 PMCID: PMC8093158 DOI: 10.1007/s10519-020-10025-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 10/06/2020] [Indexed: 12/11/2022]
Abstract
We present a procedure to simultaneously fit a genetic covariance structure model and a regression model to multivariate data from mono- and dizygotic twin pairs to test for the prediction of a dependent trait by multiple correlated predictors. We applied the model to aggressive behavior as an outcome trait and investigated the prediction of aggression from inattention (InA) and hyperactivity (HA) in two age groups. Predictions were examined in twins with an average age of 10 years (11,345 pairs), and in adult twins with an average age of 30 years (7433 pairs). All phenotypes were assessed by the same, but age-appropriate, instruments in children and adults. Because of the different genetic architecture of aggression, InA and HA, a model was fitted to these data that specified additive and non-additive genetic factors (A and D) plus common and unique environmental (C and E) influences. Given appropriate identifying constraints, this ADCE model is identified in trivariate data. We obtained different results for the prediction of aggression in children, where HA was the more important predictor, and in adults, where InA was the more important predictor. In children, about 36% of the total aggression variance was explained by the genetic and environmental components of HA and InA. Most of this was explained by the genetic components of HA and InA, i.e., 29.7%, with 22.6% due to the genetic component of HA. In adults, about 21% of the aggression variance was explained. Most was this was again explained by the genetic components of InA and HA (16.2%), with 8.6% due to the genetic component of InA.
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Affiliation(s)
- Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
- Amsterdam Public Health (APH) and Amsterdam Reproduction and Development Research Institutes, Amsterdam, The Netherlands.
| | | | - Veronika V Odintsova
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health (APH) and Amsterdam Reproduction and Development Research Institutes, Amsterdam, The Netherlands
| | - Michael C Neale
- Departments of Psychiatry and Human & Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1-156, P.O. Box 980126, Richmond, VA, 23298-0126, USA
| | - Conor V Dolan
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health (APH) and Amsterdam Reproduction and Development Research Institutes, Amsterdam, The Netherlands
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4
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Slob EMA, Brew BK, Vijverberg SJH, Kats CJAR, Longo C, Pijnenburg MW, van Beijsterveldt TCEM, Dolan CV, Bartels M, Magnusson P, Lichtenstein P, Gong T, Koppelman GH, Almqvist C, Boomsma DI, Maitland-van der Zee AH. Early-life antibiotic use and risk of asthma and eczema: results of a discordant twin study. Eur Respir J 2020; 55:13993003.02021-2019. [PMID: 32139457 DOI: 10.1183/13993003.02021-2019] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 01/30/2020] [Indexed: 01/15/2023]
Abstract
RATIONALE Early-life antibiotic use has been associated with the development of atopic diseases, but the aetiology remains unclear. To elucidate the aetiology, we used a discordant twin design to control for genetic and environmental confounding. METHODS We conducted a retrospective cohort study in twins aged 3-10 years from the Netherlands Twin Register (NTR, n=35 365) and a replication study in twins aged 9 years from the Childhood and Adolescent Twin Study in Sweden (CATSS, n=7916). Antibiotic use was recorded at age 0-2 years. Doctor-diagnosed asthma and eczema were reported by parents when children were aged 3-12 years in both cohorts. Individuals were included in unmatched analyses and in co-twin control analyses with disease discordant twin pairs. RESULTS Early-life antibiotic use was associated with increased risk of asthma (NTR OR 1.34, 95% CI 1.28-1.41; CATSS OR 1.45, 95% CI 1.34-1.56) and eczema (NTR OR 1.08, 95% CI 1.03-1.13; CATSS OR 1.07, 95% CI 1.01-1.14) in unmatched analyses. Co-twin analyses in monozygotic and dizygotic twin pairs showed similar results for asthma (NTR OR 1.54, 95% CI 1.20-1.98; CATSS OR 2.00, 95% CI 1.28-3.13), but opposing results for eczema in the NTR (OR 0.99, 95% CI 0.80-1.25) and the CATSS (OR 1.67, 95% CI 1.12-2.49). The risk of asthma increased for antibiotics prescribed for respiratory infections (CATSS OR 1.45, 95% CI 1.34-1.56), but not for antibiotics commonly used for urinary tract/skin infections (CATSS OR 1.02, 95% CI 0.88-1.17). CONCLUSION Children exposed to early-life antibiotic use, particularly prescribed for respiratory infections, may be at higher risk of asthma. This risk can still be observed when correcting for genetic and environmental factors. Our results could not elucidate whether the relationship between early-life antibiotic use and eczema is confounded by familial and genetic factors.
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Affiliation(s)
- Elise M A Slob
- Dept of Respiratory Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Dept of Paediatric Pulmonology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Bronwyn K Brew
- Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,National Perinatal Epidemiology and Statistics Unit, Centre for Big Data Research in Health and Dept of Women's and Children's Health, University of New South Wales, Sydney, Australia
| | - Susanne J H Vijverberg
- Dept of Respiratory Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Dept of Paediatric Pulmonology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Chantal J A R Kats
- Dept of Respiratory Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Cristina Longo
- Dept of Respiratory Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Mariëlle W Pijnenburg
- Dept of Paediatrics, Division of Respiratory Medicine and Allergology, ErasmusMC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Toos C E M van Beijsterveldt
- Netherlands Twin Register, Dept of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Conor V Dolan
- Netherlands Twin Register, Dept of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Netherlands Twin Register, Dept of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Patrick Magnusson
- Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tong Gong
- Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gerard H Koppelman
- Dept of Paediatric Pulmonology and Paediatric Allergology, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Catarina Almqvist
- Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Paediatric Allergy and Pulmonology Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Dorret I Boomsma
- Netherlands Twin Register, Dept of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Anke H Maitland-van der Zee
- Dept of Respiratory Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Dept of Paediatric Pulmonology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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5
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Boomsma DI, Helmer Q, Nieuwboer HA, Hottenga JJ, de Moor MH, van den Berg SM, Davies GE, Vink JM, Schouten MJ, Dolan CV, Willemsen G, Bartels M, van Beijsterveldt TCEM, Ligthart L, de Geus EJ. An Extended Twin-Pedigree Study of Neuroticism in the Netherlands Twin Register. Behav Genet 2017; 48:1-11. [PMID: 29043520 PMCID: PMC5752751 DOI: 10.1007/s10519-017-9872-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Accepted: 09/23/2017] [Indexed: 10/26/2022]
Abstract
For the participants in the Netherlands Twin Register (NTR) we constructed the extended pedigrees which specify all relations among nuclear and larger twin families in the register. A total of 253,015 subjects from 58,645 families were linked to each other, to the degree that we had information on the relations among participants. We describe the algorithm that was applied to construct the pedigrees. For > 30,000 adolescent and adult NTR participants data were available on harmonized neuroticism scores. We analyzed these data in the Mendel software package (Lange et al., Bioinformatics 29(12):1568-1570, 2013) to estimate the contributions of additive and non-additive genetic factors. In contrast to much of the earlier work based on twin data rather than on extended pedigrees, we could also estimate the contribution of shared household effects in the presence of non-additive genetic factors. The estimated broad-sense heritability of neuroticism was 47%, with almost equal contributions of additive and non-additive (dominance) genetic factors. A shared household effect explained 13% and unique environmental factors explained the remaining 40% of the variance in neuroticism.
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Affiliation(s)
- Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands. .,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. .,Avera Institute for Human Genetics, Sioux Falls, USA.
| | - Quinta Helmer
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Harold A Nieuwboer
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Jouke Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marleen H de Moor
- EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Clinical Child and Family Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stéphanie M van den Berg
- Department of Research Methodology, Measurement, and Data Analysis, University of Twente, Enschede, The Netherlands
| | | | - Jacqueline M Vink
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Maarten J Schouten
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Conor V Dolan
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Toos C E M van Beijsterveldt
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Lannie Ligthart
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eco J de Geus
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.,EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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6
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Bogl LH, Jelenkovic A, Vuoksimaa E, Ahrenfeldt L, Pietiläinen KH, Stazi MA, Fagnani C, D'Ippolito C, Hur YM, Jeong HU, Silberg JL, Eaves LJ, Maes HH, Bayasgalan G, Narandalai D, Cutler TL, Kandler C, Jang KL, Christensen K, Skytthe A, Kyvik KO, Cozen W, Hwang AE, Mack TM, Derom CA, Vlietinck RF, Nelson TL, Whitfield KE, Corley RP, Huibregtse BM, McAdams TA, Eley TC, Gregory AM, Krueger RF, McGue M, Pahlen S, Willemsen G, Bartels M, van Beijsterveldt TCEM, Pang Z, Tan Q, Zhang D, Martin NG, Medland SE, Montgomery GW, Hjelmborg JVB, Rebato E, Swan GE, Krasnow R, Busjahn A, Lichtenstein P, Öncel SY, Aliev F, Baker LA, Tuvblad C, Siribaddana SH, Hotopf M, Sumathipala A, Rijsdijk F, Magnusson PKE, Pedersen NL, Aslan AKD, Ordoñana JR, Sánchez-Romera JF, Colodro-Conde L, Duncan GE, Buchwald D, Tarnoki AD, Tarnoki DL, Yokoyama Y, Hopper JL, Loos RJF, Boomsma DI, Sørensen TIA, Silventoinen K, Kaprio J. Does the sex of one's co-twin affect height and BMI in adulthood? A study of dizygotic adult twins from 31 cohorts. Biol Sex Differ 2017; 8:14. [PMID: 28465822 PMCID: PMC5408365 DOI: 10.1186/s13293-017-0134-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 04/05/2017] [Indexed: 12/11/2022] Open
Abstract
Background The comparison of traits in twins from opposite-sex (OS) and same-sex (SS) dizygotic twin pairs is considered a proxy measure of prenatal hormone exposure. To examine possible prenatal hormonal influences on anthropometric traits, we compared mean height, body mass index (BMI), and the prevalence of being overweight or obese between men and women from OS and SS dizygotic twin pairs. Methods The data were derived from the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) database, and included 68,494 SS and 53,808 OS dizygotic twin individuals above the age of 20 years from 31 twin cohorts representing 19 countries. Zygosity was determined by questionnaires or DNA genotyping depending on the study. Multiple regression and logistic regression models adjusted for cohort, age, and birth year with the twin type as a predictor were carried out to compare height and BMI in twins from OS pairs with those from SS pairs and to calculate the adjusted odds ratios and 95% confidence intervals for being overweight or obese. Results OS females were, on average, 0.31 cm (95% confidence interval (CI) 0.20, 0.41) taller than SS females. OS males were also, on average, taller than SS males, but this difference was only 0.14 cm (95% CI 0.02, 0.27). Mean BMI and the prevalence of overweight or obesity did not differ between males and females from SS and OS twin pairs. The statistically significant differences between OS and SS twins for height were small and appeared to reflect our large sample size rather than meaningful differences of public health relevance. Conclusions We found no evidence to support the hypothesis that prenatal hormonal exposure or postnatal socialization (i.e., having grown up with a twin of the opposite sex) has a major impact on height and BMI in adulthood. Electronic supplementary material The online version of this article (doi:10.1186/s13293-017-0134-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Leonie H Bogl
- Institute for Molecular Medicine FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - 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
| | - Eero Vuoksimaa
- Institute for Molecular Medicine FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
| | - Linda Ahrenfeldt
- Department of Public Health, Epidemiology, Biostatistics & Biodemography, The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Programs Unit, University of Helsinki, Helsinki, Finland.,Endocrinology, Abdominal Center, Helsinki University Central Hospital and 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
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Hoe-Uk Jeong
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Judy L Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA
| | - Lindon J Eaves
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA USA
| | - Hermine H Maes
- Department of Human and Molecular Genetics, Psychiatry & Massey Cancer Center, Virginia Commonwealth University, Richmond, VA USA
| | | | - Danshiitsoodol Narandalai
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.,Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia
| | - Tessa L Cutler
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC Australia
| | | | - Kerry L Jang
- Department of Psychiatry, University of British Columbia, Vancouver, BC Canada
| | - Kaare Christensen
- Department of Public Health, Epidemiology, Biostatistics & Biodemography, The Danish Twin Registry, University of Southern Denmark, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology and Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Axel Skytthe
- Department of Public Health, Epidemiology, Biostatistics & Biodemography, The Danish Twin Registry, 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
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA USA.,USC Norris Comprehensive Cancer Center, Los Angeles, CA USA
| | - Amie E Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA USA
| | - Thomas M Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA USA.,USC Norris Comprehensive Cancer Center, Los Angeles, CA USA
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium.,Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Tracy L Nelson
- Department of Health and Exercise Sciences and Colorado School of Public Health, Colorado State University, Fort Collins, USA
| | | | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO USA
| | | | - Tom A McAdams
- Institute of Psychiatry, Psychology & Neuroscience, MRC Social, Genetic & Developmental Psychiatry Centre, King's College London, London, UK
| | - Thalia C Eley
- Institute of Psychiatry, Psychology & Neuroscience, MRC Social, Genetic & Developmental Psychiatry Centre, King's College London, London, UK
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - 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
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | | | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Qihua Tan
- Institute of Public Health, Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense, Denmark
| | - Dongfeng Zhang
- Department of Public Health, Qingdao University Medical College, Qingdao, China
| | - 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
| | - Jacob V B Hjelmborg
- Department of Public Health, Epidemiology, Biostatistics & Biodemography, The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Gary E Swan
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA USA
| | - Ruth Krasnow
- Center for Health Sciences, SRI International, Menlo Park, CA USA
| | | | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sevgi Y Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, Turkey
| | - Fazil Aliev
- Psychology and African American Studies, Virginia Commonwealth University, Richmond, USA.,Faculty of Business, Karabuk University, Karabuk, Turkey
| | - 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, Örebro, Sweden
| | - Sisira H Siribaddana
- Institute of Research & Development, Battaramulla, Sri Lanka.,Faculty of Medicine & Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka
| | - Matthew Hotopf
- Institute of Psychiatry Psychology and Neuroscience, NIHR Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Athula Sumathipala
- Institute of Research & Development, Battaramulla, Sri Lanka.,Research Institute for Primary Care and Health Sciences, School for Primary Care Research (SPCR), Faculty of Health, Keele University, Staffordshire, UK
| | - Fruhling Rijsdijk
- Institute of Psychiatry, Psychology & Neuroscience, MRC Social, Genetic & Developmental Psychiatry Centre, King's College London, London, UK
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna K Dahl Aslan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Institute of Gerontology and Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.,IMIB-Arrixaca, Murcia, Spain
| | - Juan F Sánchez-Romera
- Department of Developmental and Educational Psychology, University of Murcia, Murcia, Spain.,IMIB-Arrixaca, Murcia, Spain
| | - Lucia Colodro-Conde
- Department of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.,QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - 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-Health Sciences Spokane, Spokane, WA USA
| | - Adam D Tarnoki
- Department of Radiology, Semmelweis University, Budapest, Hungary.,Hungarian Twin Registry, Budapest, Hungary
| | - David L Tarnoki
- Department of Radiology, Semmelweis University, Budapest, Hungary.,Hungarian Twin Registry, Budapest, Hungary
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - John L Hopper
- The Australian Twin Registry, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC Australia.,Department of Epidemiology, School of Public Health, Seoul National University, Seoul, South Korea
| | - 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
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - 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, Copenhagen, The Capital Region Denmark
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland.,Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Jaakko Kaprio
- Institute for Molecular Medicine FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
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7
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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: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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8
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Dolan CV, de Kort JM, van Beijsterveldt TCEM, Bartels M, Boomsma DI. GE covariance through phenotype to environment transmission: an assessment in longitudinal twin data and application to childhood anxiety. Behav Genet 2014; 44:240-53. [PMID: 24789102 PMCID: PMC4023080 DOI: 10.1007/s10519-014-9659-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Accepted: 04/15/2014] [Indexed: 10/25/2022]
Abstract
We considered identification of phenotype (at occasion t) to environment (at occasion t + 1) transmission in longitudinal model comprising genetic, common and unique environmental simplex models (autoregressions). This type of transmission, which gives rise to genotype-environment covariance, is considered to be important in developmental psychology. Having established identifying constraints, we addressed the issue of statistical power to detect such transmission given a limited set of parameter values. The power is very poor in the ACE simplex, but is good in the AE model. We investigated misspecification, and found that fitting the standard ACE simplex to covariance matrices generated by an AE simplex with phenotype to E transmission produces the particular result of a rank 1 C (common environment) covariance matrix with positive transmission, and a rank 1 D (dominance) matrix given negative transmission. We applied the models to mother ratings of anxiety in female twins (aged 3, 7, 10, and 12 years), and obtained support for the positive effect of one twin's phenotype on the other twin's environment.
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Affiliation(s)
- Conor V Dolan
- Department of Biological Psychology, FPP, VU University Amsterdam, Amsterdam, The Netherlands,
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9
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Vink JM, Bartels M, van Beijsterveldt TCEM, van Dongen J, van Beek JHDA, Distel MA, de Moor MHM, Smit DJA, Minica CC, Ligthart L, Geels LM, Abdellaoui A, Middeldorp CM, Hottenga JJ, Willemsen G, de Geus EJC, Boomsma DI. Sex differences in genetic architecture of complex phenotypes? PLoS One 2012; 7:e47371. [PMID: 23272036 PMCID: PMC3525575 DOI: 10.1371/journal.pone.0047371] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2012] [Accepted: 09/11/2012] [Indexed: 12/02/2022] Open
Abstract
We examined sex differences in familial resemblance for a broad range of behavioral, psychiatric and health related phenotypes (122 complex traits) in children and adults. There is a renewed interest in the importance of genotype by sex interaction in, for example, genome-wide association (GWA) studies of complex phenotypes. If different genes play a role across sex, GWA studies should consider the effect of genetic variants separately in men and women, which affects statistical power. Twin and family studies offer an opportunity to compare resemblance between opposite-sex family members to the resemblance between same-sex relatives, thereby presenting a test of quantitative and qualitative sex differences in the genetic architecture of complex traits. We analyzed data on lifestyle, personality, psychiatric disorder, health, growth, development and metabolic traits in dizygotic (DZ) same-sex and opposite-sex twins, as these siblings are perfectly matched for age and prenatal exposures. Sample size varied from slightly over 300 subjects for measures of brain function such as EEG power to over 30,000 subjects for childhood psychopathology and birth weight. For most phenotypes, sample sizes were large, with an average sample size of 9027 individuals. By testing whether the resemblance in DZ opposite-sex pairs is the same as in DZ same-sex pairs, we obtain evidence for genetic qualitative sex-differences in the genetic architecture of complex traits for 4% of phenotypes. We conclude that for most traits that were examined, the current evidence is that same the genes are operating in men and women.
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Affiliation(s)
- Jacqueline M Vink
- Netherlands Twin Register, Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
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10
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Geels LM, Bartels M, van Beijsterveldt TCEM, Willemsen G, van der Aa N, Boomsma DI, Vink JM. Trends in adolescent alcohol use: effects of age, sex and cohort on prevalence and heritability. Addiction 2012; 107:518-27. [PMID: 21831193 DOI: 10.1111/j.1360-0443.2011.03612.x] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
AIMS To determine the effect of age, sex and cohort on the prevalence and genetic architecture of adolescent alcohol use (AAU). DESIGN Survey study in participants registered with the Netherlands Twin Register. SETTING Twins from the general population. PARTICIPANTS Two cohorts (data collected in 1993 and 2005-08) of twins aged 13-15, 16-17 and 18-21 years. In 1993 and 2005-08 a total of 3269 and 8207 twins, respectively, took part. MEASUREMENTS Survey data on initiation and frequency of alcohol use and quantity of alcohol consumed. FINDINGS The prevalence of alcohol initiation increased between 1993 and 2005-08 for both males and females. The largest difference was for girls observed at ages 13-15, where the prevalence increased from 59.5% to 72.4%. We also found increases in prevalence across cohorts for quantity of alcohol consumed and non-significant increases for frequency of alcohol use. From age 16 onwards, boys drank more frequently and larger quantities than girls. Genetic model fitting revealed that the genetic architecture of AAU did not differ between birth cohorts, nor were there differences between boys and girls. Genetic factors explained between 21% and 55% of individual differences in alcohol measures throughout adolescence. Shared environment explained between 17% and 64% of variance in alcohol use, across different age groups and alcohol measures. CONCLUSIONS In the Netherlands, the prevalence of alcohol initiation, frequency and quantity has increased in adolescents over a 15-year period, but there are no changes in the genetic architecture of adolescent alcohol use.
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Affiliation(s)
- Lot M Geels
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands.
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11
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Boomsma DI, Geus EJCD, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, Beijsterveldt TCEMV, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: From Twins to Twin Families. Twin Res Hum Genet 2012. [DOI: 10.1375/twin.9.6.849] [Citation(s) in RCA: 317] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractIn the late 1980s The Netherlands Twin Register (NTR) was established by recruiting young twins and multiples at birth and by approaching adolescent and young adult twins through city councils. The Adult NTR (ANTR) includes twins, their parents, siblings, spouses and their adult offspring. The number of participants in the ANTR who take part in survey and / or laboratory studies is over 22,000 subjects. A special group of participants consists of sisters who are mothers of twins. In the Young NTR (YNTR), data on more than 50,000 young twins have been collected. Currently we are extending the YNTR by including siblings of twins. Participants in YNTR and ANTR have been phenotyped every 2 to 3 years in longitudinal survey studies, since 1986 and 1991 for the YNTR and ANTR, respectively. The resulting large population-based datasets are used for genetic epidemiological studies and also, for example, to advance phenotyping through the development of new syndrome scales based on existing items from other inventories. New research developments further include brain imaging studies in selected and unselected groups, clinical assessment of psychopathology through interviews, and cross-referencing the NTR database to other national databases. A large biobank enterprise is ongoing in the ANTR in which blood and urine samples are collected for genotyping, expression analysis, and meta-bolomics studies. In this paper we give an update on the YNTR and ANTR phenotyping and on the ongoing ANTR biobank studies.
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12
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Markowitz EM, Willemsen G, Trumbetta SL, van Beijsterveldt TCEM, Boomsma DI. The Etiology of Mathematical and Reading (Dis)ability Covariation in a Sample of Dutch Twins. Twin Res Hum Genet 2012. [DOI: 10.1375/twin.8.6.585] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractThe genetic etiology of mathematical and reading (dis)ability has been studied in a number of distinct samples, but the true nature of the relationship between the two remains unclear. Data from the Netherlands Twin Register was used to determine the etiology of the relationship between mathematical and reading (dis)ability in adolescent twins. Ratings of mathematical and reading problems were obtained from parents of over 1500 twin pairs. Results of bivariate structural equation modeling showed a genetic correlation around .60, which explained over 90% of the phenotypic correlation between mathematical and reading ability. The genetic model was the same for males and females.
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13
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Abstract
AbstractWe studied the short- and long-term effects of classroom separation in twins on behavior problems and academic performance. Short-term effects were studied at age 7 in twins separated at age 5 and long-term effects at age 12 in twins who had been separated or together most of the time at school. Behavior problems were rated by mothers (Child Behavior Checklist at ages 3, 7 and 12) and teachers (Teacher Report Form at ages 7 and 12). Academic achievement was measured at age 12 using a national academic achievement test (CITO). At age 7, twins from separated pairs had more internalizing and externalizing problems than non- separated twins, as rated by both mothers and teachers. Only for the maternal ratings of internalizing problems, however, could these effects be attributed to the separation itself and not to preexisting problems (at age 3) between separated and nonseparated twins. Long-term effects of separation were significant for maternal and teacher ratings of internalizing and externalizing problems, but these effects could be explained by preexisting differences between separated and nonseparated groups. There were no differences in academic achievement between the separated and nonsepa- rated group. These results suggest that the decision to separate twins when they go to school is based in part on the existing behavioral problems of the twins and that, in the long run, separation does not affect problem behavior or academic achievement. The findings were the same for monozygotic and dizygotic twins.
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Estourgie-van Burk GF, Bartels M, van Beijsterveldt TCEM, Delemarre-van de Waal HA, Boomsma DI. Body Size in Five-Year-Old Twins: Heritability and Comparison to Singleton Standards. Twin Res Hum Genet 2012. [DOI: 10.1375/twin.9.5.646] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractThe aim of this study is to examine causes of individual differences in height, weight and body mass index (BMI) in 5-year-old children registered with the Netherlands Twin Register. In addition, we examine whether the results of twin studies can be expanded to the singleton population by comparing the data from twins to Dutch reference growth data and by looking at the twins' target height, which was derived from parental height. For 2996 5-year-old twin pairs, information on height and weight and on parental height was available. Univariate and bivariate genetic analyses of height and weight and univariate analyses of BMI were conducted. In order to compare the twins to the singleton population, standard deviation scores (SDS) for height, BMI and target height were calculated based on Dutch reference growth charts for the general population from 1997. Genetic influences were an important source of variation in height, weight and BMI and the main source of covariation between height and weight. Additive genetic factors accounted for 69% and 66% of the individual differences in height in boys and girls, respectively. For weight, heritability estimates were 59% in boys and 78% in girls and for BMI 34% and 74%. The influence of common environment on height was 25% and 27%, on weight 24% and 10% and on BMI 44% and 12% in boys and girls. The bivariate model showed a large overlap between the genes influencing height and weight. Genes explain 78% (in boys) and 76% (in girls) of the covariance between weight and height. At the age of 5 years, female twins were as tall as singleton children, while male twins were shorter than singletons. For both boys and girls, however, mean height SDS was 0.6 standard deviation scores below the mean target height. All twins had lower BMI than singletons. Twins grow fairly well compared to singletons, but they grow below their target height. This may be due to the above average height of twin parents.
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15
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Brouwer SI, van Beijsterveldt TCEM, Bartels M, Hudziak JJ, Boomsma DI. Influences on Achieving Motor Milestones: A Twin–Singleton Study. Twin Res Hum Genet 2012. [DOI: 10.1375/twin.9.3.424] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractIn order to determine if twinning impacted achievement of motor milestones the attainment of early motor milestones in twins was examined and compared to published data from singletons of the same age from the same culture and birth years. We examined the influence of twinning, sex, zygosity and birth cohort (1987–2001) on the motor development of twins aged 0 to 24 months. Data on the attainment of motor milestones (turn, sit, crawl, stand and walk) of twins were collected from maternal reports. All data were corrected for gestational age. Data from the twin sample were compared to normative data from singletons, which were available from Child Health Clinics (CHC). Analyses across twin data and the CHC singleton data revealed no differences between twins and singletons in achievement of motor milestones. Girls were able to sit without support slightly earlier than boys, otherwise there were no other sex differences. Birth-order analyses revealed minimal but significant differences in turning over from back to belly and for sitting without support between the first- and second-born. Dizygotic (DZ) twins were faster than monozygotic (MZ) twins in achieving the moment of sit, crawl, stand and walk. Twins born in earlier cohorts were faster in reaching the moment of crawl, sit and walk. It is concluded that there are no differences in time of reaching motor milestones between twins and singletons within the normal range. Sex has minimal to no effect on motor development in early childhood. DZ twins achieve motor milestones sooner than MZ twins. Attainment of gross motor milestones (crawl, stand and walk) is delayed in later birth cohorts.
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Bartels M, Saviouk V, de Moor MHM, Willemsen G, van Beijsterveldt TCEM, Hottenga JJ, de Geus EJC, Boomsma DI. Heritability and genome-wide linkage scan of subjective happiness. Twin Res Hum Genet 2010; 13:135-42. [PMID: 20397744 DOI: 10.1375/twin.13.2.135] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Causes of individual differences in happiness, as assessed with the Subjective Happiness Scale, are investigated in a large of sample twins and siblings from the Netherlands Twin Register. Over 12,000 twins and siblings, average age 24.7 years (range 12 to 88), took part in the study. A genetic model with an age by sex design was fitted to the data with structural equation modeling in Mx. The heritability of happiness was estimated at 22% for males and 41% in females. No effect of age was observed. To identify the genomic regions contributing to this heritability, a genome-wide linkage study for happiness was conducted in sibling pairs. A subsample of 1157 offspring from 441 families was genotyped with an average of 371 micro-satellite markers per individual. Phenotype and genotype data were analyzed in MERLIN with multipoint variance component linkage analysis and age and sex as covariates. A linkage signal (logarithm of odds score 2.73, empirical p value 0.095) was obtained at the end of the long arm of chromosome 19 for marker D19S254 at 110 cM. A second suggestive linkage peak was found at the short arm of chromosome 1 (LOD of 2.37) at 153 cM, marker D1S534 (empirical p value of .209). These two regions of interest are not overlapping with the regions found for contrasting phenotypes (such as depression, which is negatively associated with happiness). Further linkage and future association studies are warranted.
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Affiliation(s)
- Meike Bartels
- Department of Biological Psychology, VU University, Amsterdam, the Netherlands.
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17
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van Soelen ILC, Brouwer RM, Peper JS, van Beijsterveldt TCEM, van Leeuwen M, de Vries LS, Kahn RS, Hulshoff Pol HE, Boomsma DI. Effects of gestational age and birth weight on brain volumes in healthy 9 year-old children. J Pediatr 2010; 156:896-901. [PMID: 20227719 DOI: 10.1016/j.jpeds.2009.12.052] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2009] [Revised: 09/28/2009] [Accepted: 12/31/2009] [Indexed: 01/19/2023]
Abstract
OBJECTIVE To assess the effects of gestational age and birth weight on brain volumes in a population-based sample of normal developing children at the age of 9 years. STUDY DESIGN A total of 192 children from twin births were included in the analyses. Data on gestational age and birth weight were reported shortly after birth. Total brain, cerebellum, cerebrum, gray and white matter, and lateral ventricle volumes were assessed with structural magnetic resonance imaging. The Wechsler Intelligence Scale for Children-III was administered to assess general cognitive abilities. Structural equation modeling was used to analyze the effects of gestational age and birth weight on brain volumes. RESULTS Shorter gestational age was associated with a relatively smaller cerebellar volume (P = .002). This effect was independent of IQ scores. Lower birth weight was associated with lower IQ score (P = .03). Birth weight was not associated with brain volumes. CONCLUSION The effect of gestational age on cerebellar volume is not limited to children with very premature birth or very low birth weight, but is also present in children born >32 weeks of gestation and with birth weight >1500 g.
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Affiliation(s)
- Inge L C van Soelen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, the Netherlands; Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Rachel M Brouwer
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jiska S Peper
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Experimental Psychology, Utrecht University, Utrecht, the Netherlands
| | | | - Marieke van Leeuwen
- Department of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Linda S de Vries
- Department of Neonatology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - René S Kahn
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hilleke E Hulshoff Pol
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, the Netherlands
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Hoekstra C, Willemsen G, van Beijsterveldt TCEM, Montgomery GW, Boomsma DI. Familial twinning and fertility in Dutch mothers of twins. Am J Med Genet A 2009; 146A:3147-56. [PMID: 19012341 DOI: 10.1002/ajmg.a.32585] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
We studied twinning and fertility indices in mothers with spontaneous monozygotic (MZ) and dizygotic (DZ) twins and in mothers who conceived their twins after the use of assisted reproduction techniques (ART). Participants in this study consisted of 8,222 and 5,505 women with spontaneous DZ and MZ offspring and 4,164 and 250 women with ART DZ and MZ twin pairs, respectively. Women were compared with respect to the number of sibs and offspring, the presence of other relatives with twins and the time it took to conceive the twins. We also compared familial twinning between a younger and an older age group. Women with spontaneous DZ twins more often reported female relatives with twins than those with spontaneous MZ twins. The proportion of DZ versus MZ twin offspring in relatives was also larger in women with spontaneous DZ offspring than in women with MZ offspring. The first group of women reported a shorter time to conceive. Women with ART twins had fewer sibs and offspring and less often reported relatives with twins. We did not observe that DZ twinning was more familial in women who had their twins before age 36 years compared to older women. Familial DZ twinning is clearly present in mothers of spontaneous DZ twins. The mechanisms underlying spontaneous and non-spontaneous DZ twinning are different and fertility treatment should be taken into account in any study of twinning. Twinning is not more familial in women who have their twins at a younger age.
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Affiliation(s)
- Chantal Hoekstra
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
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19
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Abstract
Several studies report caesarean section (CS) to be a risk factor for childhood asthma. We used data from a large cohort of 5-year-old twins to examine the relationship between mode of birth delivery and asthma. The extent to which an infant is exposed to maternal vaginal flora may protect against the risk of developing asthma. Therefore, we expect a lower rate of asthma in twins born by vaginal delivery (VD) than those born by CS, and a lower rate of asthma in first-born twins compared to second-born twins by VD. Information on mode of delivery was obtained at the time of birth in a survey completed by the mother shortly after delivery. Information on history of asthma diagnosis by a physician was obtained by parental report when the twins were 5 years old. Complete data were available for 6330 first-born and 5438 second-born twins from birth cohorts 1991-2000. Full term first-born twins born by CS had a significantly higher risk of asthma compared to those born by VD, odds ratio=1.59 (95% CI=1.23-2.06). No significant differences were observed between CS and VD first-born twins when gestational age was less than 37 weeks, and no significant differences were observed between CS and VD second-born twins at any gestational age. No differences in asthma prevalence were found between first- and second-born twins both born by VD. CS may increase the risk of asthma to full term infants, however, the underlying mechanism is unclear.
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20
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Willemsen G, van Beijsterveldt TCEM, van Baal CGCM, Postma D, Boomsma DI. Heritability of self-reported asthma and allergy: a study in adult Dutch twins, siblings and parents. Twin Res Hum Genet 2008; 11:132-42. [PMID: 18361713 DOI: 10.1375/twin.11.2.132] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The present study assessed the prevalence of asthma and allergy, and estimated the importance of genetic and environmental influences on asthma and allergy liability and their association. Longitudinal data on self-reported, doctor-diagnosed asthma and allergy were collected in over 14,000 individuals registered with the Netherlands Twin Register. Structural equation modeling was used for univariate and bivariate genetic analyses on data from twins, their siblings, and parents. Results showed no sex, age, and minimal birth cohort effects for asthma prevalence (11.8%). For allergy, prevalence was higher in women (19.8%) than in men (13.9%). Allergy prevalence at ages 22, 23, and 24 years increased from the 1970 to the 1980 birth cohort. The prevalence of allergy, but not of asthma, was higher in nontwin siblings than in twins. No assortative mating was observed. High (broad-sense) heritabilities were found for asthma (75%) and allergy (66%), with evidence for nonadditive genetic effects in asthma. The association between asthma and allergy (correlation=.65) was largely due to common genes (70%). No sex differences in genetic architecture were found. In conclusion, the prevalence of allergy but not of asthma increased in recent years. Individual differences in the liability to asthma, allergy and their co-occurrence are for a large part accounted for by differences in genetic background. Nonadditive gene action is important, which may have consequences for gene hunting strategies.
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Affiliation(s)
- Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, the Netherlands.
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van Beijsterveldt TCEM, Boomsma DI. An exploration of gene-environment interaction and asthma in a large sample of 5-year-old Dutch twins. Twin Res Hum Genet 2008; 11:143-9. [PMID: 18361714 DOI: 10.1375/twin.11.2.143] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
A consistent finding from twin studies is that the environment shared by family members does not contribute to the variation in susceptibility to asthma. At the same time, it is known that environmental risk factors that are shared by family members are associated with the liability for asthma. We hypothesize that the absence of a main effect of shared environmental factors in twin studies can be explained by gene-environment interaction, that is, that the effect of an environmental factor shared by family members depends on the genotype of the individual. We explore this hypothesis by modeling the resemblance in asthma liability in twin pairs as a function of various environmental risk factors and test for gene-environment interaction. Asthma data were obtained by parental report for nearly 12,000 5-year-old twin pairs. A series of environmental risk factors was examined: birth cohort, gestational age, time spent in incubator, breastfeeding, maternal educational level, maternal smoking during pregnancy, current smoking of parents, having older siblings, and amount of child care outside home. Results revealed that being a boy, born in the 1990s, premature birth, longer incubator time, and child care outside home increased the risk for asthma. With the exception of premature birth, however, none of these factors modified the genetic effects on asthma. In very premature children shared environmental influences were important. In children born after a gestation of 32 weeks or more only genetic factors were important to explain familial resemblance for asthma.
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Abstract
Genetically informative data can be used to address fundamental questions concerning the measurement of behavior in children. The authors illustrate this with longitudinal multiple-rater data on internalizing problems in twins. Valid information on the behavior of a child is obtained for behavior that multiple raters agree upon and for rater-specific perception of the child's behavior. Rater-disagreement variance varsigma2(rd) accounted for 35% of the individual differences in internalizing behavior. Up to 17% of this varsigma2(rd) was accounted for by rater-specific additive genetic variance varsigma2(Au). Thus, the disagreement should not be considered only to be bias/error but also as representing the unique feature of the relationships between that parent and the child. The longitudinal extension of this model helps to make a distinction between measurement error and the raters' unique perception of the child's behavior. For internalizing behavior, the results show large stability across time, which is accounted for by common additive genetic and common shared environmental factors. Rater-specific shared environmental factors show substantial influence on stability. This could mean that rater bias may be persistent and affect longitudinal studies.
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Affiliation(s)
| | | | - James J Hudziak
- Department of Psychiatry, University of Vermont College of Medicine
| | | | - Edwin J C G van den Oord
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine
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Derks EM, Hudziak JJ, Dolan CV, van Beijsterveldt TCEM, Verhulst FC, Boomsma DI. Genetic and environmental influences on the relation between attention problems and attention deficit hyperactivity disorder. Behav Genet 2007; 38:11-23. [PMID: 18074222 PMCID: PMC2226020 DOI: 10.1007/s10519-007-9178-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2006] [Accepted: 10/18/2007] [Indexed: 01/20/2023]
Abstract
Objective The assessment of symptoms of ADHD in children is usually based on a clinical interview or a behavior checklist. The aim of the present study is to investigate the extent to which these instruments measure an underlying construct and to estimate the genetic and environmental influences on individual differences in ADHD. Methods Maternal ratings were collected on 10,916 twins from 5,458 families. Child Behavior Checklist (CBCL) ratings were available for 10,018, 6,565, and 5,780 twins at the ages 7, 10, and 12, respectively. The Conners Rating Scale (4,887 twins) and the DSM interview (1,006 twins) were completed at age 12. The magnitude of genetic and environmental influences on the variance of the three measures of ADHD and the covariance among the three measures of ADHD was obtained. Results Phenotypic correlations range between .45 and .77. Variances and covariances of the measurements were explained mainly by genetic influences. The model that provided the best account of the data included an independent pathway for additive and dominant genetic effects. The genetic correlations among the measures collected at age 12 varied between .63 and 1.00. Conclusions The genetic overlap between questionnaire ratings and the DSM-IV diagnosis of ADHD is high. Clinical and research implications of these findings are presented.
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Affiliation(s)
- Eske M Derks
- Department of Biological Psychology, Vrije Universiteit, Van der Boechorststraat 1, Amsterdam, 1081 BT, The Netherlands.
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24
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Silventoinen K, Bartels M, Posthuma D, Estourgie-van Burk GF, Willemsen G, van Beijsterveldt TCEM, Boomsma DI. Genetic regulation of growth in height and weight from 3 to 12 years of age: a longitudinal study of Dutch twin children. Twin Res Hum Genet 2007; 10:354-63. [PMID: 17564525 DOI: 10.1375/twin.10.2.354] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Human growth is a complex and poorly understood process. We studied the effect of genetic and environmental factors on height and body mass index (BMI, kg/m(2)) based on maternal reports at 3, 4, 5, 7, 10 and 12 years of age in a large longitudinal cohort of Dutch twins (7755 complete twin pairs at age 3). Several multivariate variance component models for twins were fitted to the data using the Mx statistical package. The first-born twin was taller until age 10 and heavier until age 12 than the second-born co-twin. Heritability estimates were high for height (a(2) = .58-.91) and BMI (a(2) = .31-.82), but common and unshared environmental factors were also important. The phenotypic correlations across the ages for height and BMI were mainly explained by correlated additive genetic factors (r(a) = .77-.96 for height and .43-.92 for BMI), but common (r(c) = .40-.84 and .09-.78, respectively) and specific environmental correlations (r(e) = .50-.81 and .42-.80, respectively) were also significant. Additive genetic factors decreased with increasing age difference for both height and BMI. However, the full Cholesky model, which does not make any assumptions regarding the underlying genetic structure, had the best fit. High genetic correlations across the ages, especially for height, may help further molecular genetic studies of human growth. Environmental factors affecting height and BMI during growth period are also important, and further studies are needed to identify these factors and test whether they interact with genetic factors.
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25
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Boomsma DI, de Geus EJC, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TCEM, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet 2007; 9:849-57. [PMID: 17254420 DOI: 10.1375/183242706779462426] [Citation(s) in RCA: 161] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In the late 1980s The Netherlands Twin Register (NTR) was established by recruiting young twins and multiples at birth and by approaching adolescent and young adult twins through city councils. The Adult NTR (ANTR) includes twins, their parents, siblings, spouses and their adult offspring. The number of participants in the ANTR who take part in survey and / or laboratory studies is over 22,000 subjects. A special group of participants consists of sisters who are mothers of twins. In the Young NTR (YNTR), data on more than 50,000 young twins have been collected. Currently we are extending the YNTR by including siblings of twins. Participants in YNTR and ANTR have been phenotyped every 2 to 3 years in longitudinal survey studies, since 1986 and 1991 for the YNTR and ANTR, respectively. The resulting large population-based datasets are used for genetic epidemiological studies and also, for example, to advance phenotyping through the development of new syndrome scales based on existing items from other inventories. New research developments further include brain imaging studies in selected and unselected groups, clinical assessment of psychopathology through interviews, and cross-referencing the NTR database to other national databases. A large biobank enterprise is ongoing in the ANTR in which blood and urine samples are collected for genotyping, expression analysis, and metabolomics studies. In this paper we give an update on the YNTR and ANTR phenotyping and on the ongoing ANTR biobank studies.
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Affiliation(s)
- Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Van der Boechorststraat 1, 1081 BT Amsterdam, the Netherlands.
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26
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Estourgie-van Burk GF, Bartels M, van Beijsterveldt TCEM, Delemarre-van de Waal HA, Boomsma DI. Body size in five-year-old twins: heritability and comparison to singleton standards. Twin Res Hum Genet 2007; 9:646-55. [PMID: 17032545 DOI: 10.1375/183242706778553417] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The aim of this study is to examine causes of individual differences in height, weight and body mass index (BMI) in 5-year-old children registered with the Netherlands Twin Register. In addition, we examine whether the results of twin studies can be expanded to the singleton population by comparing the data from twins to Dutch reference growth data and by looking at the twins' target height, which was derived from parental height. For 2996 5-year-old twin pairs, information on height and weight and on parental height was available. Univariate and bivariate genetic analyses of height and weight and univariate analyses of BMI were conducted. In order to compare the twins to the singleton population, standard deviation scores (SDS) for height, BMI and target height were calculated based on Dutch reference growth charts for the general population from 1997. Genetic influences were an important source of variation in height, weight and BMI and the main source of covariation between height and weight. Additive genetic factors accounted for 69% and 66% of the individual differences in height in boys and girls, respectively. For weight, heritability estimates were 59% in boys and 78% in girls and for BMI 34% and 74%. The influence of common environment on height was 25% and 27%, on weight 24% and 10% and on BMI 44% and 12% in boys and girls. The bivariate model showed a large overlap between the genes influencing height and weight. Genes explain 78% (in boys) and 76% (in girls) of the covariance between weight and height. At the age of 5 years, female twins were as tall as singleton children, while male twins were shorter than singletons. For both boys and girls, however, mean height SDS was 0.6 standard deviation scores below the mean target height. All twins had lower BMI than singletons. Twins grow fairly well compared to singletons, but they grow below their target height. This may be due to the above average height of twin parents.
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Lehn H, Derks EM, Hudziak JJ, Heutink P, van Beijsterveldt TCEM, Boomsma DI. Attention problems and attention-deficit/hyperactivity disorder in discordant and concordant monozygotic twins: evidence of environmental mediators. J Am Acad Child Adolesc Psychiatry 2007; 46:83-91. [PMID: 17195733 DOI: 10.1097/01.chi.0000242244.00174.d9] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To study familial and nonfamilial environmental influences on attention problems and attention-deficit/hyperactivity disorder (ADHD) in monozygotic twins discordant and concordant-high and low for these traits. METHOD Ninety-five twin pairs from The Netherlands Twin Register were selected. Longitudinal survey data were collected at 1, 2, 3, 5, 7, 10, and 12 years from parents, twins, and teachers. Mothers participated in a structured clinical interview when twins were between 10 and 17 years of age. RESULTS Affected twins from discordant pairs scored higher than unaffected cotwins on multiple measures of attention problems, ADHD, and other behavior problems according to mother, teacher, and self. Behavioral discordance was evident at age 2 and all subsequent measurements. Compared with unaffected cotwins, affected twins had lower birth weight and delayed physical growth and motor development. Differences between discordant and concordant groups were reported for maternal smoking, sleeping in different rooms, and living with only one parent. CONCLUSIONS Significant markers of ADHD are found in infancy and include low birth weight and delayed motor development. As the knowledge of specific genetic and environmental influences on ADHD increases, future studies may focus on their complex interplay.
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Affiliation(s)
- Hanne Lehn
- Ms. Lehn, Ms. Derks, and Drs. van Beijsterveldt and Boomsma are with the Department of Biological Psychology, and Dr. Heutink is with the Centre for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, The Netherlands; Dr. Hudziak is with the Division of Human Genetics, Center for Children, Youth and Families, and the University of Vermont, Burlington; Ms. Lehn is also with the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Eske M Derks
- Ms. Lehn, Ms. Derks, and Drs. van Beijsterveldt and Boomsma are with the Department of Biological Psychology, and Dr. Heutink is with the Centre for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, The Netherlands; Dr. Hudziak is with the Division of Human Genetics, Center for Children, Youth and Families, and the University of Vermont, Burlington; Ms. Lehn is also with the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - James J Hudziak
- Ms. Lehn, Ms. Derks, and Drs. van Beijsterveldt and Boomsma are with the Department of Biological Psychology, and Dr. Heutink is with the Centre for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, The Netherlands; Dr. Hudziak is with the Division of Human Genetics, Center for Children, Youth and Families, and the University of Vermont, Burlington; Ms. Lehn is also with the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Peter Heutink
- Ms. Lehn, Ms. Derks, and Drs. van Beijsterveldt and Boomsma are with the Department of Biological Psychology, and Dr. Heutink is with the Centre for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, The Netherlands; Dr. Hudziak is with the Division of Human Genetics, Center for Children, Youth and Families, and the University of Vermont, Burlington; Ms. Lehn is also with the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Toos C E M van Beijsterveldt
- Ms. Lehn, Ms. Derks, and Drs. van Beijsterveldt and Boomsma are with the Department of Biological Psychology, and Dr. Heutink is with the Centre for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, The Netherlands; Dr. Hudziak is with the Division of Human Genetics, Center for Children, Youth and Families, and the University of Vermont, Burlington; Ms. Lehn is also with the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dorret I Boomsma
- Ms. Lehn, Ms. Derks, and Drs. van Beijsterveldt and Boomsma are with the Department of Biological Psychology, and Dr. Heutink is with the Centre for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, The Netherlands; Dr. Hudziak is with the Division of Human Genetics, Center for Children, Youth and Families, and the University of Vermont, Burlington; Ms. Lehn is also with the Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway..
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Boomsma DI, Rebollo I, Derks EM, van Beijsterveldt TCEM, Althoff RR, Rettew DC, Hudziak JJ. Longitudinal stability of the CBCL-juvenile bipolar disorder phenotype: A study in Dutch twins. Biol Psychiatry 2006; 60:912-20. [PMID: 16735031 DOI: 10.1016/j.biopsych.2006.02.028] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2005] [Revised: 02/10/2006] [Accepted: 02/10/2006] [Indexed: 11/20/2022]
Abstract
BACKGROUND The Child Behavior Checklist-juvenile bipolar disorder phenotype (CBCL-JBD) is a quantitative phenotype that is based on parental ratings of the behavior of the child. The phenotype is predictive of DSM-IV characterizations of BD and has been shown to be sensitive and specific. Its genetic architecture differs from that for inattentive, aggressive, or anxious-depressed syndromes. The purpose of this study is to assess the developmental stability of the CBCL-JBD phenotype across ages 7, 10, and 12 years in a large population-based twin sample and to examine its genetic architecture. METHODS Longitudinal data on Dutch mono- and dizygotic twin pairs (N = 8013 pairs) are analyzed to decompose the stability of the CBCL-JBD phenotype into genetic and environmental contributions. RESULTS Heritability of the CBCL-JBD increases with age (from 63% to 75%), whereas the effects of shared environment decrease (from 20% to 8%). The stability of the CBCL-JBD phenotype is high, with correlations between .66 and .77 across ages 7, 10, and 12 years. Genetic factors account for the majority of the stability of this phenotype. There were no sex differences in genetic architecture. CONCLUSIONS Roughly 80% of the stability in childhood CBCL-JBD is a result of additive genetic effects.
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Affiliation(s)
- Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
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29
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Brouwer SI, van Beijsterveldt TCEM, Bartels M, Hudziak JJ, Boomsma DI. Influences on achieving motor milestones: a twin-singleton study. Twin Res Hum Genet 2006; 9:424-30. [PMID: 16790152 DOI: 10.1375/183242706777591191] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In order to determine if twinning impacted achievement of motor milestones the attainment of early motor milestones in twins was examined and compared to published data from singletons of the same age from the same culture and birth years. We examined the influence of twinning, sex, zygosity and birth cohort (1987-2001) on the motor development of twins aged 0 to 24 months. Data on the attainment of motor milestones (turn, sit, crawl, stand and walk) of twins were collected from maternal reports. All data were corrected for gestational age. Data from the twin sample were compared to normative data from singletons, which were available from Child Health Clinics (CHC). Analyses across twin data and the CHC singleton data revealed no differences between twins and singletons in achievement of motor milestones. Girls were able to sit without support slightly earlier than boys, otherwise there were no other sex differences. Birth-order analyses revealed minimal but significant differences in turning over from back to belly and for sitting without support between the first- and second-born. Dizygotic (DZ) twins were faster than monozygotic (MZ) twins in achieving the moment of sit, crawl, stand and walk. Twins born in earlier cohorts were faster in reaching the moment of crawl, sit and walk. It is concluded that there are no differences in time of reaching motor milestones between twins and singletons within the normal range. Sex has minimal to no effect on motor development in early childhood. DZ twins achieve motor milestones sooner than MZ twins. Attainment of gross motor milestones (crawl, stand and walk) is delayed in later birth cohorts.
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Affiliation(s)
- Silvia I Brouwer
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
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30
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Markowitz EM, Willemsen G, Trumbetta SL, van Beijsterveldt TCEM, Boomsma DI. The etiology of mathematical and reading (dis)ability covariation in a sample of Dutch twins. Twin Res Hum Genet 2006; 8:585-93. [PMID: 16354500 DOI: 10.1375/183242705774860132] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The genetic etiology of mathematical and reading (dis)ability has been studied in a number of distinct samples, but the true nature of the relationship between the two remains unclear. Data from the Netherlands Twin Register was used to determine the etiology of the relationship between mathematical and reading (dis)ability in adolescent twins. Ratings of mathematical and reading problems were obtained from parents of over 1500 twin pairs. Results of bivariate structural equation modeling showed a genetic correlation around .60, which explained over 90% of the phenotypic correlation between mathematical and reading ability. The genetic model was the same for males and females.
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31
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Abstract
We studied the short- and long-term effects of classroom separation in twins on behavior problems and academic performance. Short-term effects were studied at age 7 in twins separated at age 5 and long-term effects at age 12 in twins who had been separated or together most of the time at school. Behavior problems were rated by mothers (Child Behavior Checklist at ages 3, 7 and 12) and teachers (Teacher Report Form at ages 7 and 12). Academic achievement was measured at age 12 using a national academic achievement test (CITO). At age 7, twins from separated pairs had more internalizing and externalizing problems than nonseparated twins, as rated by both mothers and teachers. Only for the maternal ratings of internalizing problems, however, could these effects be attributed to the separation itself and not to preexisting problems (at age 3) between separated and nonseparated twins. Long-term effects of separation were significant for maternal and teacher ratings of internalizing and externalizing problems, but these effects could be explained by preexisting differences between separated and nonseparated groups. There were no differences in academic achievement between the separated and nonseparated group. These results suggest that the decision to separate twins when they go to school is based in part on the existing behavioral problems of the twins and that, in the long run, separation does not affect problem behavior or academic achievement. The findings were the same for monozygotic and dizygotic twins.
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Affiliation(s)
- Marieke van Leeuwen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, the Netherlands.
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32
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Bartels M, Boomsma DI, Hudziak JJ, Rietveld MJH, van Beijsterveldt TCEM, van den Oord EJCG. Disentangling genetic, environmental, and rater effects on internalizing and externalizing problem behavior in 10-year-old twins. ACTA ACUST UNITED AC 2004; 7:162-75. [PMID: 15169601 DOI: 10.1375/136905204323016140] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Previous studies have emphasized the importance of rater issues in studying the etiology of variation in internalizing and externalizing problems in children. Earlier results indicate only moderate agreement between parents, and assume that parents assess a specific aspect of their child's behavior. In comparable samples of younger children, additive genetic effects are the main factor explaining individual differences in both internalizing and externalizing behavior. It is unknown whether this pattern of rater influences and variance decomposition will be consistent in older children. Child Behavior Checklists (Achenbach, 1991), completed by both parents, were collected in a sample of 2956 Dutch 10-year-old twin pairs. The etiology of individual differences in internalizing and externalizing syndromes was examined using a model that corrected for possible rater bias, rater-specific effects and unreliability. The best fitting model suggested that disagreement between the parents is not merely the result of unreliability and/or rater bias, but each parent also provides specific information from his/her own perspective on the child's behavior. Significant influences of additive genetic, shared environmental and unique environmental factors were found for internalizing and externalizing syndromes.
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Affiliation(s)
- Meike Bartels
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
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33
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Boomsma DI, Vink JM, van Beijsterveldt TCEM, de Geus EJC, Beem AL, Mulder EJCM, Derks EM, Riese H, Willemsen GAHM, Bartels M, van den Berg M, Kupper NHM, Polderman TJC, Posthuma D, Rietveld MJH, Stubbe JH, Knol LI, Stroet T, van Baal GCM. Netherlands Twin Register: a focus on longitudinal research. Twin Res 2002; 5:401-6. [PMID: 12537867 DOI: 10.1375/136905202320906174] [Citation(s) in RCA: 180] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In 1986 we began The Netherlands Twin Register (NTR) by recruiting young twins and multiples a few weeks or months after birth. Currently we register around 50% of all newborn multiples in The Netherlands. Their parents receive a questionnaire at registration and afterwards when the children are 2, 3, 5, 7, 10 and 12 years of age. Teachers are asked to rate the behavior of the children at ages 7, 10 and 12 years. Adolescent and young-adult twins were recruited through City Councils in the early 1990s. These twins, their parents and siblings participate in longitudinal survey studies that include items about health, fertility, lifestyle, addiction, personality and psychopathology, religion, socioeconomic status, and educational attainment. The total number of twins and multiples registered with the NTR is currently over 60,000. Subgroups of twins and siblings take part in studies of cognitive development, brain function and neuropsychological indices of attention processes, and molecular genetic studies of classical and behavioral cardiovascular risk factors. DNA samples are currently collected in selected twin families for two large linkage studies, which aim to find QTLs for anxious depression and for nicotine addiction. Sisters who are mothers of DZ twins contribute DNA samples for a linkage study of DZ twinning. Large cohorts of phenotyped family members from the general population are very valuable for genetic epidemiological studies and permit selection of informative families for gene finding studies.
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Affiliation(s)
- Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
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