For over 100 years, the genetics of human anthropometric traits has attracted scientific interest. In particular, height and body mass index (BMI, calculated as kg/m2) have been under intensive genetic research. However, it is still largely unknown whether and how heritability estimates vary between human populations. Opportunities to address this question have increased recently because of the establishment of many new twin cohorts and the increasing accumulation of data in established twin cohorts. We started a new research project to analyze systematically (1) the variation of heritability estimates of height, BMI and their trajectories over the life course between birth cohorts, ethnicities and countries, and (2) to study the effects of birth-related factors, education and smoking on these anthropometric traits and whether these effects vary between twin cohorts. We identified 67 twin projects, including both monozygotic (MZ) and dizygotic (DZ) twins, using various sources. We asked for individual level data on height and weight including repeated measurements, birth related traits, background variables, education and smoking. By the end of 2014, 48 projects participated. Together, we have 893,458 height and weight measures (52% females) from 434,723 twin individuals, including 201,192 complete twin pairs (40% monozygotic, 40% same-sex dizygotic and 20% opposite-sex dizygotic) representing 22 countries. This project demonstrates that large-scale international twin studies are feasible and can promote the use of existing data for novel research purposes.
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http://dx.doi.org/10.1017/thg.2015.29 | DOI Listing |
Endocrine
December 2024
Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Objective: Primary hyperparathyroidism (PHPT) is characterized by elevated parathyroid hormone (PTH) levels and hypercalcemia. Although research suggests a potential link between PTH and lipid metabolism, the evidence remains inconclusive. This study investigated lipid metabolism and fat distribution in PHPT patients.
View Article and Find Full Text PDFBackground: The primary objective of this study was to investigate and substantiate the possible causal connections between measurements of body dimensions and the likelihood of experiencing fractures.
Materials And Methods: We employed a two-sample Mendelian randomization (MR) analysis to examine the associations between anthropometric measurements and two specific traits-bone mineral density and fracture risk. To ensure the credibility of our causal conclusions, we used the inverse variance weighted (IVW) method along with various sensitivity analyses.
Transl Pediatr
November 2024
Department of Endocrinology and Inherited Metabolic Diseases, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Background: Mendelian randomization (MR) has been used to identify drug targets in many conditions. Height is a classic complex trait affected by genetic and early-life environmental factors. No systematic screening has been conducted to identify drugs that interact with height.
View Article and Find Full Text PDFObesity (Silver Spring)
January 2025
Centre of Research, Education, Innovation, and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal.
Objective: We analyzed how anthropometric measures predict cardiometabolic health and how genetic and environmental factors contribute to these associations.
Methods: Data on 8 indicators of cardiometabolic health, 21 anthropometric measures, and 11 anthropometric indices were available for 216 twin pairs of individuals age 3 to 18 years living in the Autonomous Region of Madeira, Portugal (51% girls). Genetic twin modeling was used to estimate genetic and environmental correlations between the cardiometabolic and anthropometric indicators.
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