Silventoinen Karri, Krueger Robert F, Jelenkovic Aline, Sund Reijo, Roisman Glenn I, Kaprio Jaakko, McGue Matt
Helsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.
Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MI, USA.
Pediatr Res. 2025 Jul 14. doi: 10.1038/s41390-025-04259-8.
We analyzed the shared genetic background of extensive anthropometric measurements, determining body size and morphology.
Anthropometric measurements were taken for 15 traits from 1512 US twins at an average age of 11.7 years (Minnesota, 51% females) and for 20 traits at an average age of 14.8 years for males (N = 624) and 18.1 years for females (N = 505). Genetic twin modeling was utilized to estimate the genetic correlations between these traits.
In mid to late adolescence, high genetic correlations were found within height-related traits and foot length (r = 0.58-1.00) as well as within adiposity-related traits (r = 0.70-0.96), except for skinfold thicknesses. Genetic correlations for craniofacial measurements were smaller (r=0.26-0.80). However, almost all traits showed some genetic correlations with other traits, most of which were at least moderate (r > 0.30). Results from earlier assessments in early adolescence with fewer traits but a larger sample size were largely similar. Genetic correlations between the initial and follow-up assessments were high (r = 0.68-0.95), except for craniofacial traits, which showed somewhat lower correlations (r = 0.40-0.87).
Shared genetic variation plays a significant role in human body size and morphology as well as their development during adolescence.
There are clusters of anthropometric traits showing high genetic correlations. The highest genetic correlations were found within height- and adiposity-related traits. Nearly all anthropometric traits share some genetic variation. Genetic factors importantly contribute to the growth of all traits during adolescence. Pleiotropic effects are important for understanding the genetic regulation of human physique.
我们分析了广泛人体测量学指标的共同遗传背景,这些指标用于确定体型和形态。
对1512名平均年龄为11.7岁的美国双胞胎(明尼苏达州,51%为女性)的15项特征进行了人体测量,对624名男性(平均年龄14.8岁)和505名女性(平均年龄18.1岁)的20项特征进行了人体测量。采用遗传双胞胎模型来估计这些特征之间的遗传相关性。
在青春期中后期,发现身高相关特征和足长之间(r = 0.58 - 1.00)以及肥胖相关特征之间(r = 0.70 - 0.96)存在高度遗传相关性,但皮褶厚度除外。颅面部测量的遗传相关性较小(r = 0.26 - 0.80)。然而,几乎所有特征都与其他特征存在一定的遗传相关性,其中大多数至少为中等程度(r > 0.30)。青春期早期较少特征但样本量较大的早期评估结果在很大程度上相似。初始评估和随访评估之间的遗传相关性较高(r = 0.68 - 0.95),但颅面部特征的相关性略低(r = 0.40 - 0.87)。
共享遗传变异在人体体型和形态及其青春期发育过程中起着重要作用。
人体测量学特征存在聚类现象,显示出高度的遗传相关性。在身高和肥胖相关特征中发现了最高的遗传相关性。几乎所有人体测量学特征都共享一些遗传变异。遗传因素对青春期所有特征的生长有重要贡献。多效性效应对于理解人类体格的遗传调控很重要。