Zhou Siquan, Xu Yujie, Xiong Jingyuan, Cheng Guo
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Laboratory of Molecular Translational Medicine, Center for Translational Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Nat Commun. 2025 Jan 18;16(1):799. doi: 10.1038/s41467-025-56191-4.
Pubertal timing is highly variable and is associated with long-term health outcomes. Phenotypes associated with pubertal timing include age at menarche, age at voice break, age at first facial hair and growth spurt, and pubertal timing seems to have a shared genetic architecture between the sexes. However, puberty phenotypes have primarily been assessed separately, failing to account for shared genetics, which limits the reliability of the purported health implications. Here, we model the common genetic architecture for puberty timing using a multivariate GWAS, with an effective population of 514,750 European participants. We find 266 independent variants in 197 loci, including 18 novel variants. Transcriptomic, proteome imputation and fine-mapping analyses reveal genes causal for pubertal timing, including KDM4C, LEPR, CCNC, ACP1, and PCSK1. Linkage disequilibrium score regression and Mendelian randomisation analysis establish causal associations between earlier puberty and both accelerated ageing and the risk of developing cardiovascular disease and osteoporosis. We find that alanine aminotransferase, glycated haemoglobin, high-density lipoprotein cholesterol and Parabacteroides levels are mediators of these relationships, and establish that controlling oily fish and retinol intake may be beneficial for promoting healthy pubertal development.
青春期启动时间具有高度变异性,且与长期健康结果相关。与青春期启动时间相关的表型包括初潮年龄、变声年龄、首次出现面部毛发和生长突增的年龄,而且青春期启动时间似乎在男女之间具有共同的遗传结构。然而,青春期表型主要是分别进行评估的,没有考虑到共同的遗传学因素,这限制了所声称的健康影响的可靠性。在此,我们使用多变量全基因组关联研究(GWAS)对青春期启动时间的共同遗传结构进行建模,有效样本量为514,750名欧洲参与者。我们在197个基因座中发现了266个独立变异,包括18个新变异。转录组学、蛋白质组推断和精细定位分析揭示了导致青春期启动时间的基因,包括KDM4C、LEPR、CCNC、ACP1和PCSK1。连锁不平衡评分回归和孟德尔随机化分析确定了青春期提前与加速衰老以及患心血管疾病和骨质疏松症风险之间的因果关联。我们发现丙氨酸转氨酶、糖化血红蛋白、高密度脂蛋白胆固醇和副拟杆菌水平是这些关系的中介因素,并确定控制油性鱼类和视黄醇的摄入量可能有助于促进健康的青春期发育。