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Jaramillo-Aguilar DS, Simbaña-Rivera K. Genetic knowledge and attitudes towards genetic testing among final-year medical students at a public university in Ecuador. Front Med (Lausanne) 2024; 11:1363552. [PMID: 38962733 PMCID: PMC11219587 DOI: 10.3389/fmed.2024.1363552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 05/29/2024] [Indexed: 07/05/2024] Open
Abstract
Background Genetics plays a crucial role in the field of medicine, offering numerous applications. However, health professionals often have insufficient knowledge in this area. Therefore, it is essential to provide appropriate genetics education during university studies. Aim This study aimed to assess the knowledge and attitudes towards genetic testing among final-year medical students at a public university in Ecuador. Methods A cross-sectional study was conducted involving final-year medical students from a public university in Ecuador. The third version of the Genetic Literacy and Attitudes Survey was administered between April and May 2022. The study examined sociodemographic characteristics, genetic knowledge, and attitudes towards genetic testing. Results The study included 153 medical students, of which 58.2% identified as female. Most participants fell within the age range of 22 to 25 years old (85.0%). Regarding genetic knowledge, three-quarters of the participants (75.2%) demonstrated intermediate proficiency, while only 9.80% possessed a high level of knowledge. Attitudes towards the clinical and therapeutic applications of genetics, scientific advancements, access to conventional medicine, and other related topics were found to be appropriate. Conclusion The findings suggest that most final-year medical students at a public university in Ecuador have intermediate genetic knowledge and hold appropriate attitudes towards genetic testing. However, higher education institutions should conduct a comprehensive analysis and restructure their curricula to better prepare students for the medical and technological challenges of the 21st century.
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Affiliation(s)
| | - Katherine Simbaña-Rivera
- Centro de Investigación para la Salud en América Latina (CISeAL), Facultad de Medicina, Pontificia Universidad Católica del Ecuador (PUCE), Quito, Ecuador
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Leybovitz-Haleluya N, Sheiner E, Wainstock T. Obstetric and perinatal outcome in short-stature patients. Int J Gynaecol Obstet 2023; 163:978-982. [PMID: 37269046 DOI: 10.1002/ijgo.14907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 05/07/2023] [Accepted: 05/16/2023] [Indexed: 06/04/2023]
Abstract
OBJECTIVE Scarce data exist regarding obstetric complications of short-stature patients. This study aimed to investigate obstetric and perinatal outcomes in women with short stature; specifically, to investigate whether short-stature patients are at an increased risk for cesarean delivery. METHODS A population-based cohort study was conducted, including all singletons born between the years 1991 and 2021 at a tertiary medical center. Obstetric and perinatal outcomes of short-stature patients were compared with those of non-short patients. A generalized estimation equation binary logistic model was constructed to adjust for confounders and maternal recurrence in the cohort. RESULTS The study population included 356 356 parturient; among them, 14 035 (3.9%) were short-stature patients. Short-stature patients had significantly higher rates of cesarean delivery (20.7% vs 13.7%, odds ratio = 1.64, 95% confidence interval 1.57-1.71, P < 0.001), induction of labor, pathologic presentations, prolonged second stage of labor, non-reassuring fetal monitoring, and meconium-stained amniotic fluid. Newborns of short-stature patients had a significantly higher risk of being small for gestational age as compared with those of non-short patients. In the generalized estimation equation models, the association between short stature and risk of cesarean delivery remained significant (adjusted odds ratio = 1.32, 95% confidence interval 1.27-1.38, P < 0.001), as well as the risk of small for gestational age newborns (adjusted odds ratio = 1.51, 95% confidence interval 1.40-1.63, P < 0.001), but not for the other adverse outcomes. CONCLUSIONS Maternal short stature is an independent risk factor for cesarean delivery and is associated with small for gestational age newborns.
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Affiliation(s)
- Noa Leybovitz-Haleluya
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Eyal Sheiner
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Tamar Wainstock
- The Department of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer-Sheva, Israel
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Austerberry C, Mateen M, Fearon P, Ronald A. Heritability of Psychological Traits and Developmental Milestones in Infancy: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2227887. [PMID: 35994288 PMCID: PMC9396365 DOI: 10.1001/jamanetworkopen.2022.27887] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 07/04/2022] [Indexed: 11/29/2022] Open
Abstract
Importance Although infancy is the most rapid period of postnatal growth and development, factors associated with variation in infant traits are not well understood. Objective To synthesize the large twin study literature partitioning phenotypic variance in psychological traits and developmental milestones in infancy into estimates of heritability and shared and nonshared environment. Data Sources PubMed, PsycINFO, and references of included publications were searched up to February 11, 2021. Study Selection Peer-reviewed publications using the classical twin design to study psychological traits and developmental milestones from birth to 2 years old were included. Data Extraction and Synthesis Data were extracted in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses and categorized using the International Classification of Functioning, Disability and Health: Children and Youth Version. Data were pooled in 3-level random effects models, incorporating within-cohort variance in outcome measurement and between-cohort variance. Data were analyzed from March 2021 through September 2021. Main Outcomes and Measures The primary outcomes were monozygotic and dizygotic twin correlations. These were used to calculate genetic and shared and nonshared environment estimates. Results Among 139 publications that were systematically retrieved, data were available on 79 044 twin pairs (31 053 monozygotic and 47 991 dizygotic pairs), 52 independent samples, and 21 countries. Meta-analyses were conducted on psychological traits and developmental milestones from 106 publications organized into 10 categories of functioning, disability, and health. Moderate to high genetic estimates for 8 categories were found, the highest of which was psychomotor functions (pooled h2, 0.59; 95% CI, 0.25-0.79; P < .001). Several categories of traits had substantial shared environment estimates, the highest being mental functions of language (pooled c2, 0.59; 95% CI, 0.24-0.86; P = .001). All examined categories of traits had moderate or high nonshared environment estimates, the highest of which were emotional functions (pooled e2, 0.42; 95% CI, 0.33-0.50; P < .001) and family relationships (pooled e2, 0.42; 95% CI, 0.30-0.55; P < .001). Conclusions and Relevance These findings may be an important source of information to guide future gene discovery research, public perspectives on nature and nurture, and clinical insights into the degree to which family history and environments may estimate major domains of infant functioning, disability, and health in psychological traits and developmental milestones.
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Affiliation(s)
- Chloe Austerberry
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Maria Mateen
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Pasco Fearon
- Centre for Family Research, University of Cambridge, Cambridge, United Kingdom
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
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Bazarbaeva S, Dinmukhamedova A, Tleubergenova G, Rakhimzhanova Z, Sembekova K, Karbayeva S, Kuandykova E. Morphofunctional and Hematological Characteristics of Health in Students from the Northern and Southern Regions of Kazakhstan. Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.6434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
The study aimed at investigating morphofunctional and hematological features of the first-year students’ health condition. The health status for a total of 400 first-year students, who arrived for studying from the northern region (North Kazakhstan) and the southern region (Turkestan, Kyzylorda), was estimated during the study. The morphological (BMI, vital lung capacity, etc.) and hematological (the total number of red blood cells, white blood cells, the concentration of hemoglobin in the blood, etc.) indicators of the health status were investigated. By comparing the condition of physical health in students from both regions, a significant difference in main morphofunctional and hematological indices has been established. The functional indicators of the cardiovascular and respiratory systems were higher in students from the southern region, which reflects a good adaptive reaction to studying at a university, as well as new climatic and geographical conditions. Students from the southern region were reported to have lower red blood cell amounts and diagnosed with mild anemia compared to those from the northern region. Therefore, constant monitoring of the health condition among youth is required to develop effective tactics for the students’ smooth adjusting to living in new climatic conditions.
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Yılmaz B, Gezmen Karadağ M. The current review of adolescent obesity: the role of genetic factors. J Pediatr Endocrinol Metab 2021; 34:151-162. [PMID: 33185580 DOI: 10.1515/jpem-2020-0480] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 10/20/2020] [Indexed: 11/15/2022]
Abstract
Obesity, a complex, multi-factor and heterogeneous condition, is thought to result from the interaction of environmental and genetic factors. Considering the result of adolescence obesity in adulthood, the role of genetic factors comes to the fore. Recently, many genome-wide association studies (GWAS) have been conducted and many loci associated with adiposity have been identified. In adolescents, the strongest association with obesity has been found in single nucleotide polymorphisms (SNP) in the FTO gene. Besides FTO, GWAS showed consistent effects between variants in MC4R, TMEM18, TNNI3K, SEC16B, GNPDA2, POMC and obesity. However, these variants may not have similar effects for all ethnic groups. Although recently genetic factors are considered to contribute to obesity, relatively little is known about the specific loci related to obesity and the mechanisms by which they cause obesity.
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Affiliation(s)
- Birsen Yılmaz
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, Çankaya, Ankara, Turkey.,Department of Nutrition and Dietetics, Faculty of Health Sciences, Çukurova University, Adana, Turkey
| | - Makbule Gezmen Karadağ
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, Çankaya, Ankara, Turkey
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An empirical study of factors associated with height-for-age z-scores of children aged 6-23 months in northwest Rwanda: the role of care practices related to child feeding and health. Br J Nutr 2020; 126:1203-1214. [PMID: 33298231 DOI: 10.1017/s0007114520004961] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
We aimed to identify the factors influencing child height-for-age z-scores (HAZ) as a measure of child nutritional status in Rwanda, and to examine the role of child feeding and health practices. We conducted a cross-sectional study involving 379 children (aged 6-23 months) and their mothers in northwest Rwanda. Data were collected using a pre-tested, structured questionnaire. An infant and young child feeding practices index (ICFI) and health practices index (HPI) were developed and categorised into tertiles, and linear regression analyses were performed to assess their association with child HAZ. Overall, mothers of non-stunted children exhibited better feeding and health practices than those of stunted children. ICFI was positively associated with child HAZ. We found an adjusted mean HAZ difference of 0·14 between children whose mothers were in high ICFI tertile compared with those in low tertile. Neither HPI nor any of its components were significantly associated with child HAZ. Other factors that were positively associated with child HAZ were infant birth weight (P < 0·001) and maternal height (P < 0·001). Child age, sex (male) (P < 0·05) and altitude (P < 0·05) were negatively associated with child HAZ. Diarrhoea (P < 0·05) and respiratory infections (P < 0·05) were negatively associated with HAZ in younger children aged 6-11 months. Policies to reduce stunting in this population must focus on both pre- and postnatal factors. Appropriate child feeding practices, particularly breast-feeding promotion and improvement in children's dietary diversity combined with measures to control infections should be given priority.
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Li Q, Pan Z, Li Q, Baikpour M, Cheah E, Chen K, Li W, Song Y, Zhang J, Yu L, Zuo C, Liu J, Yang A, Ding Z, Li J, Luo Y, Li T, Feng Y, Yu S, Xie L, Luo G, Wang Q, Wei L, Chen Y, Sun H, Lin C, Xu W, Zhao W, Peng X, Wang C, Han X, Ba Y, Zhang Y, Li W, Zhang W, Yang H. Development of a generalized model for kidney depth estimation in the Chinese population: A multi-center study. Eur J Radiol 2020; 124:108840. [PMID: 31981879 DOI: 10.1016/j.ejrad.2020.108840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 01/03/2020] [Accepted: 01/10/2020] [Indexed: 10/25/2022]
Abstract
PURPOSE To establish an accurate and reliable equation for kidney depth estimation in adult patients from different Chinese geographical regions. METHOD This multicenter study enrolled Eastern Asian Chinese patients with abdominal PET/CT scans at 26 imaging centers from six macro-regions across China in 3 years. Age, gender, height, weight, primary disease and its extent on PET scans of the participants were collected as potential predictive factors. Kidney depth on CT, defined as the average of the vertical distances from the posterior skin to the farthest anterior and closest posterior surfaces of each kidney, was measured as the standard reference. The new kidney depth model was constructed using a multiple regression model, and its performance was compared to those of three established models by computing the absolute value of estimation errors in comparison with CT-measured kidney depth. RESULTS A total of 2502 patients were enrolled and classified into training (n=1653) and testing (n = 849) subsets. In the training subset, two kidney depth models were constructed: Left (cm): 0.013×age+0.117×gender-0.044×height+0.087×weight+7.951, Right (cm): 0.005×age+0.013×gender-0.035×height+0.082×weight+7.266 (weight: kg, height: cm, gender = 0 if female, 1 if male). In the testing subset, one-way analysis of variance showed that the estimation errors of the new models did not significantly differ among the 6 regions. Bland-Altman analysis determined that new equations had lower estimated biases (left: 0.039 cm, right: 0.018 cm) compared with other existing models. CONCLUSION The new equations were highly accurate for kidney depth estimation in adults from all over China, with lower estimation errors compared to other established models.
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Affiliation(s)
- Qian Li
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
| | - Zhongyun Pan
- Department of Nuclear Medicine, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, China.
| | - Qiang Li
- Department of Nuclear Medicine, Affiliated Cancer Hospital of Zhengzhou University, 127 Dongming Road, Jinshui District, Zhengzhou, 450003, Henan, China
| | - Masoud Baikpour
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Eugene Cheah
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Kai Chen
- Department of Nuclear Medicine, Affiliated Cancer Hospital of Zhengzhou University, 127 Dongming Road, Jinshui District, Zhengzhou, 450003, Henan, China
| | - Wenliang Li
- Department of Nuclear Medicine, Affiliated Cancer Hospital of Zhengzhou University, 127 Dongming Road, Jinshui District, Zhengzhou, 450003, Henan, China
| | - Yiqing Song
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Jingjing Zhang
- Division of Nephrology, Sidney Kimmel Medical College at Thomas Jefferson University, 833 Chestnut Street, Suite 700, Philadelphia, PA, 19107, USA
| | - Lijuan Yu
- Department of Nuclear Medicine, Hainan Cancer Hospital, 6 Changbin Xisi Street, Haikou, Hainan, 570311, China
| | - Changjing Zuo
- Department of Nuclear Medicine, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Jianjun Liu
- Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Road, Pudong District, Shanghai, 200127, China
| | - Aimin Yang
- Department of Nuclear Medicine, First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Yanta District, Xi'an, Shanxi, 710061, China
| | - Zhiling Ding
- Department of Nuclear Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 32 West Second Section First Ring Road, Chengdu, Sichuan, 610072, China
| | - Juan Li
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, 804 Shengli Street, Xingqing District, Yinchuan, Ningxia, 750004, China
| | - Yongjun Luo
- Department of Nuclear Medicine, Lanzhou University Second Hospital, 82 Cuiyingmen, Chengguan District, Lanzhou, Gansu, 730030, China
| | - Tiannv Li
- Department of Nuclear Medicine, First Affiliated Hospital of Nanjing Medical University. 300 Guangzhou Road, Gulou District, Nanjing, Jiangsu, 210029, China
| | - Yanlin Feng
- Department of Nuclear Medicine, The First People's Hospital of Foshan, 81 Lingnan Road, Chancheng District, Foshan, Guangdong, 528000, China
| | - Shupeng Yu
- Department of Nuclear Medicine, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, Liaoning, 110004, China
| | - Laiping Xie
- Department of Nuclear Medicine, First Affiliated Hospital of Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Ganhua Luo
- Department of Nuclear Medicine, First Affiliated Hospital of Sun Yat-Sen University, Zhongshan 2nd Road 58, Yuexiu District, Guangzhou, 510080, China
| | - Qian Wang
- Department of Nuclear Medicine, Peking University People's Hospital, 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Longxiao Wei
- Department of Nuclear Medicine, Second Affiliated Hospital of Air Force Medical University, 569 Xinsi Road, Baqiao District, Xi'an, Shanxi, 710038, China
| | - Yue Chen
- Department of Nuclear Medicine, Affiliated Hospital, Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, China
| | - Hua Sun
- Department of PET-CT Center, Yunnan Cancer Hospital, Third Affiliated Hospital of Kunming Medical University, 519 Kunzhou Road, Xishan District, Kunming, Yunnan, 650118, China
| | - Chenghe Lin
- Department of Nuclear Medicine, First Hospital of Jilin University, 1 Xinmin Street, Chaoyang District, Changchun, Jilin, 130021, China
| | - Wengui Xu
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, China
| | - Wenrui Zhao
- Department of Nuclear Medicine, Navy General Hospital, 6 Fucheng Road, Haidian District, Beijing, 100048, China
| | - Xiang Peng
- Department of PET/CT Center, Hunan Cancer Hospital, 582 Xianjia Lake Road, Yuelu District, Changsha, Hunan, 410013, China
| | - Cheng Wang
- Department of Nuclear Medicine, Affiliated Hospital of Inner Mongolia Medical University, 1 Tongdaobeijie Road, Huimin District, Huhhot, 010050, China
| | - Xingmin Han
- Department of Nuclear Medicine, First Affiliated Hospital of Zhengzhou University, 1 Eastern Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China
| | - Ya Ba
- Department of Nuclear Medicine, First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan Road, New Urban District, Urumqi, Xinjiang, 830011, China
| | - Yanjun Zhang
- Department of Nuclear Medicine, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigan District, Dalian, Liaoning, 116011, China
| | - Wei Li
- Medical Imaging Center, PLA 255 Hospital, 24 Guofang Street, Lunan District, Tangshan, Hebei, 063000, China
| | - Wei Zhang
- Department of Nuclear Medicine, First Affiliated Hospital of Soochow University, 188 Shizi Street, Gusu District, Suzhou, Jiangsu, 215006, China
| | - Hui Yang
- Department of Nuclear Medicine, Affiliated Cancer Hospital of Zhengzhou University, 127 Dongming Road, Jinshui District, Zhengzhou, 450003, Henan, China.
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The Chinese National Twin Registry: A Unique Data Source for Systems Epidemiology of Complex Disease. Twin Res Hum Genet 2019; 22:482-485. [PMID: 31708009 DOI: 10.1017/thg.2019.85] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The Chinese National Twin Registry (CNTR), initiated in 2001, has now become the largest twin registry in Asia. From 2015 to 2018, the CNTR continued to receive Chinese government funding and had recruited 61,566 twin-pairs by 2019 to study twins discordant for specific exposures such as environmental factors, and twins discordant for disease outcomes or measures of morbidity. Omic data, including genetics, genomics, metabolomics, and proteomics, and gut microbiome will be tested. The integration of omics and digital technologies in public health will advance our understanding of precision public health. This review introduces the updates of the CNTR, including study design, sample size, biobank, zygosity assessment, advances in research and future systems epidemiologic research.
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Gao W, Cao W, Lv J, Yu C, Wu T, Wang S, Meng L, Wang D, Wang Z, Pang Z, Yu M, Wang H, Wu X, Dong Z, Wu F, Jiang G, Wang X, Liu Y, Deng J, Lu L, Li L. The Chinese National Twin Registry: a 'gold mine' for scientific research. J Intern Med 2019; 286:299-308. [PMID: 31270876 DOI: 10.1111/joim.12926] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The Chinese National Twin Registry (CNTR) currently includes data from 61 566 twin pair from 11 provinces or cities in China. Of these, 31 705, 15 060 and 13 531 pairs are monozygotic, same-sex dizygotic and opposite-sex dizygotic pairs, respectively, determined by opposite sex or intrapair similarity. Since its establishment in 2001, the CNTR has provided an important resource for analysing genetic and environmental influences on chronic diseases especially cardiovascular diseases. Recently, the CNTR has focused on collecting biologic specimens from disease-concordant or disease-discordant twin pairs or from twin pairs reared apart. More than 8000 pairs of these twins have been registered, and blood samples have been collected from more than 1500 pairs. In this review, we summarize the main findings from univariate and multivariate genetic effects analyses, gene-environment interaction studies, omics studies exploring DNA methylation and metabolomic markers associated with phenotypes. There remains further scope for CNTR research and data mining. The plan for future development of the CNTR is described. The CNTR welcomes worldwide collaboration.
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Affiliation(s)
- W Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - W Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - J Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - C Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - T Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - S Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - L Meng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - D Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Z Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Z Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - M Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, China
| | - H Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - X Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Z Dong
- Beijing Center for Disease Control and Prevention, Beijing, China
| | - F Wu
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - G Jiang
- Tianjin Center for Disease Control and Prevention, Tianjin, China
| | - X Wang
- Qinghai Center for Disease Control and Prevention, Xining, China
| | - Y Liu
- Heilongjiang Agricultural Center for Disease Control and Prevention, Harbin, China
| | - J Deng
- Handan Center for Disease Control and Prevention, Handan, China
| | - L Lu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - L Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
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Chapman R, Likhanov M, Selita F, Zakharov I, Smith-Woolley E, Kovas Y. New literacy challenge for the twenty-first century: genetic knowledge is poor even among well educated. J Community Genet 2019; 10:73-84. [PMID: 29589204 PMCID: PMC6325037 DOI: 10.1007/s12687-018-0363-7] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 03/07/2018] [Indexed: 11/10/2022] Open
Abstract
We live in an age of rapidly advancing genetic research. This research is generating new knowledge that has implications for personal health and well-being. The present study assessed the level of genetic knowledge and personal engagement with genetics in a large sample (N = 5404) of participants. Participants received secondary education in 78 countries, with the largest samples from Russia, the UK and the USA. The results showed significant group differences in genetic knowledge between different countries, professions, education levels and religious affiliations. Overall, genetic knowledge was poor. The questions were designed to assess basic genetic literacy. However, only 1.2% of participants answered all 18 questions correctly, and the average score was 65.5%. Genetic knowledge was related to peoples' attitudes towards genetics. For example, those with greater genetic knowledge were on average more willing to use genetic knowledge for their personal health management. Based on the results, the paper proposes a number of immediate steps that societies can implement to empower the public to benefit from ever-advancing genetic knowledge.
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Affiliation(s)
- Robert Chapman
- Department of Psychology, Goldsmiths, University of London, New Cross, London, UK
| | | | - Fatos Selita
- Tomsk State University, Tomsk, Russia
- IBL Consultancy, London, UK
| | - Ilya Zakharov
- Psychological Institute of the Russian Academy of Education, Moscow, Russia
| | - Emily Smith-Woolley
- Social, Genetic and Developmental Psychiatry Centre, King's College, London, UK
| | - Yulia Kovas
- Department of Psychology, Goldsmiths, University of London, New Cross, London, UK.
- Tomsk State University, Tomsk, Russia.
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Liang X, Wu C, Zhao H, Liu L, Du Y, Li P, Wen Y, Zhao Y, Ding M, Cheng B, Cheng S, Ma M, Zhang L, Guo X, Shen H, Tian Q, Zhang F, Deng HW. Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis. Bone 2018; 116:301-306. [PMID: 30172743 PMCID: PMC6298225 DOI: 10.1016/j.bone.2018.08.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 08/22/2018] [Accepted: 08/29/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The relationships between early growth parameters and bone mineral density (BMD) remain elusive now. In this study, we performed a large scale polygenic risk score (PRS) analysis to evaluate the potential impact of early growth parameters on the variations of BMD. METHODS We used 2286 Caucasian subjects as cohort 1 and 3404 Framingham Heart Study (FHS) subjects as cohort 2 in this study. BMD at ulna & radius, hip and spine were measured using dual energy X-ray absorptiometry. BMD values were adjusted for age, sex, height and weight as covariates. Genome-wide single-nucleotide polymorphism (SNP) genotyping of the 2286 Caucasian subjects was performed using Affymetrix Human SNP Array 6.0. The GWAS datasets of early growth parameters were driven from the Early Growth Genetics Consortium, including birth weight (BW), birth head circumference (BHC), childhood body mass index (CBMI), pubertal height growth related indexes and tanner stage. Polygenic Risk Score (PRSice) and linkage disequilibrium (LD) score regression analysis were conducted to assess the genetic correlation between early growth parameters and BMD. RESULTS We detected significant genetic correlations in cohort 1, such as total spine BMD vs. CBMI (p value = 1.51 × 10-4, rg = 0.4525), right ulna and radius BMD vs. CBMI (p value = 1.51 × 10-4, rg = 0.4399) and total body BMD vs. tanner stage (p value = 7.00 × 10-4, rg = -0.0721). For cohort 2, significant correlations were observed for total spine BMD vs. height change standard deviation score (SDS) between 8 years and adult (denoted as PGF + PGM) (p value = 3.97 × 10-4, rg = -0.1425), femoral neck BMD vs. the timing of peak height velocity by looking at the height change SDS between age 14 years and adult (denoted as PTF + PTM) (p value = 7.04 × 10-4, rg = -0.2185), and total spine BMD vs. PTF + PTM (p value = 6.86 × 10-4, rg = -0.2180). CONCLUSION Our study results suggest that some early growth parameters could affect the variations of BMD.
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Affiliation(s)
- Xiao Liang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - CuiYan Wu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Hongmou Zhao
- Department of Orthopedics Surgery, Red Cross Hospital, Xi'an 710054, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yanan Du
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Zhao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Miao Ding
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Mei Ma
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Lu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Hui Shen
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, USA
| | - Qing Tian
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, USA
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
| | - Hong-Wen Deng
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, USA.
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WOMEN’S EMPOWERMENT AND GENDER INEQUALITY IN ADOLESCENT NUTRITIONAL STATUS: EVIDENCE FROM THE INDONESIAN FAMILY LIFE SURVEY. J Biosoc Sci 2017; 50:640-665. [DOI: 10.1017/s0021932017000566] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
SummaryIn contrast to the extensive knowledge on the association between women’s empowerment and the nutritional status of children under the age of five, relatively little is known about the influence of women’s empowerment on adolescents’ nutritional status. This study aimed to assess the association between women’s empowerment and gender inequalities in adolescent nutritional status. Data were from the Indonesian Family Life Survey (IFLS) covering the period 1997 to 2015, and consisted of 16,683 observations from 13,396 adolescents between the ages of 10 and 19 years born in 6781 families. Three indicators of women’s empowerment were used: mother’s education, mother’s bargaining power and mother’s working status. Multivariate linear regression with robust standard errors was used to examine whether and how these indicators of women’s empowerment influenced adolescent nutritional status. Interaction terms were added to analyse how the association between women’s empowerment and adolescent nutritional status differed by gender. The results showed that mother’s education and mother’s working status were significantly associated with adolescent nutritional status, particularly with height-for-age. Adolescents of well-educated mothers had a higher height-for-age while those who were raised by mothers with a blue-collar job had a lower height-for-age. Although no gender differences were found for height-for-age, gender differences for BMI-for-age were obvious, with boys having a lower BMI-for-age than girls. Interactions between indicators of mother’s empowerment and gender showed that the gender gap in BMI-for-age was smaller for adolescents of more educated mothers. However, further analyses of food consumption patterns showed that boys whose mothers were more educated consumed more fast food and had higher instant noodle consumption than girls, thus suggesting gender bias in new disguise.
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13
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A metric study of insole foot impressions in footwear of identical twins. J Forensic Leg Med 2017; 52:116-121. [PMID: 28918370 DOI: 10.1016/j.jflm.2017.09.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 07/25/2017] [Accepted: 09/10/2017] [Indexed: 11/21/2022]
Abstract
Foot impressions are of utmost importance in crime scene investigations. Foot impressions are available in the form of barefoot prints, sock-clad footprints, and as impressions within footwear. Sometimes suspects leave their footwear at the crime scene, and the insole of this footwear may contain the foot impression of the suspect which may be important evidence linking him or her to the crime. The task of identification based on the analysis of footprints can be challenging when the footprints belonging to one of the identical twin is available for examination. The present study is based on the quantitative measures of the foot impressions in the footwear of adult identical twins. The study was conducted on four sets of female monozygotic twins from the United States of America. A total of 17 length and breadth measurements were taken on each foot impression. A combination of Reel Method and Extended Gunn Method was utilized to produce the measurements. The measurements of the foot impressions were compared among the twins on the right and the left side. Differences were found in the various footprint measurements among the twins. The study's sample size was not large enough to apply robust statistical tests, but the study is significant in that it presents the first detailed comparative analysis of a large number of measurements of insole foot impressions of adult twins. The observations derived from the study are likely to assist forensic investigations in cases involving the foot impressions of the twins.
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14
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Silventoinen K, Gouveia É, Jelenkovic A, Maia J, Antunes AM, Pinheiro de Carvalho MAA, Brehm AM, Thomis M, Lefevre J, Kaprio J, Freitas D. The Genetic Background of Metabolic Trait Clusters in Children and Adolescents. Metab Syndr Relat Disord 2017; 15:329-336. [PMID: 28727943 DOI: 10.1089/met.2017.0013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Karri Silventoinen
- Population Research Unit, Department of Social Research, University of Helsinki, Helsinki, Finland
| | - Élvio Gouveia
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Aline Jelenkovic
- Population Research Unit, 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
| | - José Maia
- Faculty of Sport, Centre of Research, Education, Innovation and Intervention in Sport, University of Porto, Porto, Portugal
| | - António M. Antunes
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | | | - António M. Brehm
- Human Genetics Laboratory, University of Madeira, Funchal, Portugal
| | - Martine Thomis
- Physical Activity, Sports and Health Research Group, Department of Kinesiology, Faculty of Kinesiology and Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Johan Lefevre
- Physical Activity, Sports and Health Research Group, Department of Kinesiology, Faculty of Kinesiology and Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Duarte Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
- Department of Mathematical Sciences, University of Essex, Colchester, United Kingdom
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15
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Silventoinen K, Jelenkovic A, Sund R, Hur YM, Yokoyama Y, Honda C, Hjelmborg JVB, Möller S, Ooki S, Aaltonen S, 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, Christensen K, Skytthe A, Kyvik KO, Derom CA, Vlietinck RF, Loos RJ, 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, Stazi MA, Fagnani C, D'Ippolito C, 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 TC, Craig JM, Saffery R, Freitas DL, Maia JA, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Martin NG, Medland SE, Montgomery GW, Chong Y, Swan GE, Krasnow R, Magnusson PK, Pedersen NL, Tynelius P, Lichtenstein P, Haworth CM, Plomin R, Bayasgalan G, Narandalai D, Harden KP, Tucker-Drob EM, Öncel SY, Aliev F, Spector T, Mangino M, Lachance G, Baker LA, Tuvblad C, Duncan GE, Buchwald D, Willemsen G, Rasmussen F, Goldberg JH, Sørensen TI, Boomsma DI, Kaprio J. Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study. Am J Clin Nutr 2016; 104:371-9. [PMID: 27413137 PMCID: PMC4962159 DOI: 10.3945/ajcn.116.130252] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 05/20/2016] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Both genetic and environmental factors are known to affect body mass index (BMI), but detailed understanding of how their effects differ during childhood and adolescence is lacking. OBJECTIVES We analyzed the genetic and environmental contributions to BMI variation from infancy to early adulthood and the ways they differ by sex and geographic regions representing high (North America and Australia), moderate (Europe), and low levels (East Asia) of obesogenic environments. DESIGN Data were available for 87,782 complete twin pairs from 0.5 to 19.5 y of age from 45 cohorts. Analyses were based on 383,092 BMI measurements. Variation in BMI was decomposed into genetic and environmental components through genetic structural equation modeling. RESULTS The variance of BMI increased from 5 y of age along with increasing mean BMI. The proportion of BMI variation explained by additive genetic factors was lowest at 4 y of age in boys (a(2) = 0.42) and girls (a(2) = 0.41) and then generally increased to 0.75 in both sexes at 19 y of age. This was because of a stronger influence of environmental factors shared by co-twins in midchildhood. After 15 y of age, the effect of shared environment was not observed. The sex-specific expression of genetic factors was seen in infancy but was most prominent at 13 y of age and older. The variance of BMI was highest in North America and Australia and lowest in East Asia, but the relative proportion of genetic variation to total variation remained roughly similar across different regions. CONCLUSIONS Environmental factors shared by co-twins affect BMI in childhood, but little evidence for their contribution was found in late adolescence. Our results suggest that genetic factors play a major role in the variation of BMI in adolescence among populations of different ethnicities exposed to different environmental factors related to obesity.
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Affiliation(s)
- Karri Silventoinen
- Departments of Social Research and Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan;
| | - Aline Jelenkovic
- Departments of Social Research and Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country, Leioa, Spain
| | | | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Chika Honda
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Jacob vB Hjelmborg
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and
| | - Sören Möller
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and
| | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Sari Aaltonen
- Departments of Social Research and Public Health, University of Helsinki, Helsinki, Finland
| | - 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, Leioa, Spain
| | | | | | - Kimberly J Saudino
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - Kerry L Jang
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, and USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - Amie E Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, and
| | - Thomas M Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, and USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - 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
| | | | | | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and Departments of Clinical Biochemistry and Pharmacology Clinical Genetics
| | - Axel Skytthe
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics and Biodemography, and
| | - Kirsten O Kyvik
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Odense Patient data Explorative Network, and
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium; Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth Jf Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kauko Heikkilä
- 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, United Kingdom
| | - Clare H Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom
| | - Tom A McAdams
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom; MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, and
| | - Thalia C Eley
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, and
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, London, United Kingdom
| | - 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
- Departments of Endocrinology and Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau; Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark
| | | | - Morten Sodemann
- Departments of Endocrinology and 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
| | - 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
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | | | | | | | | | - Hermine H Maes
- Department of Human and Molecular Genetics, Massey Cancer Center, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Margaret Gatz
- Department of Psychology, University of Southern California, Los Angeles, CA; Departments of Medical Epidemiology and Biostatistics and
| | - David A Butler
- Institute of Medicine, National Academy of Sciences Washington, DC
| | - 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
| | - Duarte L Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | - José Antonio Maia
- Centre of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, Porto, University of Porto, Portugal
| | - 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
| | | | | | - Grant W Montgomery
- Molecular Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Youngsook Chong
- Department of Psychology, Pusan National University, Busan, South Korea
| | - Gary E Swan
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Ruth Krasnow
- Center for Health Sciences, SRI International, Menlo Park, CA
| | | | | | - Per Tynelius
- Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | | | - Claire Ma Haworth
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Robert Plomin
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, and
| | | | - 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
| | | | - Sevgi Y Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, Turkey
| | - Fazil Aliev
- Department of Human and Molecular Genetics, Departments of Psychiatry and Psychology
| | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King's College, London, United Kingdom
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College, London, United Kingdom
| | - Genevieve Lachance
- Department of Twin Research and Genetic Epidemiology, King's College, London, United Kingdom
| | - Laura A Baker
- Department of Psychology, University of Southern California, Los Angeles, CA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA; Örebro University, School of Law, Psychology and Social Work, Örebro, Sweden
| | - Glen E Duncan
- College of Medicine, Washington State University - Health Sciences Spokane, Spokane, WA
| | - Dedra Buchwald
- Washington State Twin Registry, Washington State University, Seattle, WA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Finn Rasmussen
- Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Jack H Goldberg
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA
| | - Thorkild Ia Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Novo Nordisk Foundation Center for Basic Metabolic Research (Section on Metabolic Genetics) and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen,Denmark; Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, Copenhagen, The Capital Region, Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Jaakko Kaprio
- Public Health, University of Helsinki, Helsinki, Finland; National Institute for Health and Welfare, Helsinki, Finland; and Institute for Molecular Medicine FIMM, Helsinki, Finland
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16
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Jelenkovic A, Sund R, Hur YM, Yokoyama Y, Hjelmborg JVB, Möller S, Honda C, Magnusson PKE, Pedersen NL, Ooki S, Aaltonen S, Stazi MA, Fagnani C, D’Ippolito C, Freitas DL, Maia JA, Ji F, Ning F, Pang Z, Rebato E, Busjahn A, Kandler C, Saudino KJ, Jang KL, Cozen W, Hwang AE, Mack TM, Gao W, Yu C, Li L, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Heikkilä K, Wardle J, Llewellyn CH, Fisher A, McAdams TA, Eley TC, Gregory AM, He M, Ding X, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Tarnoki AD, Tarnoki DL, Knafo-Noam A, Mankuta D, Abramson L, Burt SA, Klump KL, Silberg JL, Eaves LJ, Maes HH, Krueger RF, McGue M, Pahlen S, Gatz M, Butler DA, Bartels M, van Beijsterveldt TCEM, Craig JM, Saffery R, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Martin NG, Medland SE, Montgomery GW, Swan GE, Krasnow R, Tynelius P, Lichtenstein P, Haworth CMA, Plomin R, Bayasgalan G, Narandalai D, Harden KP, Tucker-Drob EM, Spector T, Mangino M, Lachance G, Baker LA, Tuvblad C, Duncan GE, Buchwald D, Willemsen G, Skytthe A, Kyvik KO, Christensen K, Öncel SY, Aliev F, Rasmussen F, Goldberg JH, Sørensen TIA, Boomsma DI, Kaprio J, Silventoinen K. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts. Sci Rep 2016; 6:28496. [PMID: 27333805 PMCID: PMC4917845 DOI: 10.1038/srep28496] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 06/02/2016] [Indexed: 01/05/2023] Open
Abstract
Height variation is known to be determined by both genetic and environmental factors, but a systematic description of how their influences differ by sex, age and global regions is lacking. We conducted an individual-based pooled analysis of 45 twin cohorts from 20 countries, including 180,520 paired measurements at ages 1-19 years. The proportion of height variation explained by shared environmental factors was greatest in early childhood, but these effects remained present until early adulthood. Accordingly, the relative genetic contribution increased with age and was greatest in adolescence (up to 0.83 in boys and 0.76 in girls). Comparing geographic-cultural regions (Europe, North-America and Australia, and East-Asia), genetic variance was greatest in North-America and Australia and lowest in East-Asia, but the relative proportion of genetic variation was roughly similar across these regions. Our findings provide further insights into height variation during childhood and adolescence in populations representing different ethnicities and exposed to different environments.
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Affiliation(s)
- Aline Jelenkovic
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Jacob v. B. Hjelmborg
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Sören Möller
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Chika Honda
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Sari Aaltonen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Maria A. Stazi
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Corrado Fagnani
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Cristina D’Ippolito
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Duarte L. Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | | | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | | | | | - Kimberly J. Saudino
- Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA
| | - Kerry L. Jang
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Amie E. Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Thomas M. Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Robin P. Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Brooke M. Huibregtse
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Catherine A. Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
- Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kauko Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jane Wardle
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Clare H. Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Tom A. McAdams
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Thalia C. Eley
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Alice M. Gregory
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Xiaohu Ding
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Morten Bjerregaard-Andersen
- Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
- Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | | | - Morten Sodemann
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Adam D. Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - David L. Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | | | | | - Judy L. Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Lindon J. Eaves
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hermine H. Maes
- Department of Human and Molecular Genetics, Psychiatry & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - David A. Butler
- Institute of Medicine, National Academy of Sciences, Washington, DC, USA
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | | | - Jeffrey M. Craig
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Richard Saffery
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Michel Boivin
- École de psychologie, Université Laval, Québec, Canada
- Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Russian Federation
| | - Mara Brendgen
- Département de psychologie, Université du Québec à Montréal, Montréal, Québec, Canada
| | | | - Frank Vitaro
- École de psychoéducation, Université de Montréal, Montréal, Québec, Canada
| | - Nicholas G. Martin
- Genetic Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Sarah E. Medland
- Genetic Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Grant W. Montgomery
- Molecular Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Gary E. Swan
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ruth Krasnow
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Per Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Robert Plomin
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | | | - Danshiitsoodol Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Genevieve Lachance
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Laura A. Baker
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- School of Law, Psychology and Social Work, Örebro University, Sweden
| | - Glen E. Duncan
- Washington State Twin Registry, Washington State University - Health Sciences Spokane, Spokane, WA, USA
| | - Dedra Buchwald
- Washington State Twin Registry, Washington State University, Seattle, WA, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Axel Skytthe
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Kirsten O. Kyvik
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology and Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Sevgi Y. Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, Turkey
| | - Fazil Aliev
- Departments of Psychiatry, Psychology, and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, USA
| | - Finn Rasmussen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Jack H. Goldberg
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Thorkild I. A. Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research (Section on Metabolic Genetics) and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine FIMM, Helsinki, Finland
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
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