Genomic structural equation modeling decodes skeletal aging: novel loci discovery and multisystem genetic crosstalk.

Yunqiao Zhou, Jian Huang, Leqin Xu, Fan Zhang, Chunxiao Bai, Fangyang Fan, Yuquan Wang, Bixuan Fang, Tian Wang, Xiaohong Mu, Jinyu Li

Orthopedics Section 1, Dongzhimen Hospital of Beijing University of Chinese Medicine, No. 5 Haiyuncang Hutong, Dongcheng District, Beijing, 100700, China. · pubmed

Paper

Abstract

Skeletal aging, a core determinant of systemic aging, poses a global public health challenge due to its association with chronic diseases and functional decline. This study aimed to decode the genetic architecture of skeletal aging by identifying novel loci and multi-system crosstalk using genomic structural equation modeling (Genomic SEM).

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper identifies novel genetic loci associated with skeletal aging and explores multi-system genetic interactions. This research is relevant as it addresses the genetic underpinnings of skeletal aging, which is a fundamental aspect of the aging process and its systemic effects on health.

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