The Genetic Architecture of Biological Age in Nine Human Organ Systems.

Junhao Wen, Ye Ella Tian, Ioanna Skampardoni, Zhijian Yang, Yuhan Cui, Filippos Anagnostakis, Elizabeth Mamourian, Bingxin Zhao, Arthur W Toga, Andrew Zaleskey, Christos Davatzikos
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Abstract

Understanding the genetic basis of biological aging in multi-organ systems is vital for elucidating age-related disease mechanisms and identifying therapeutic interventions. This study characterized the genetic architecture of the biological age gap (BAG) across nine human organ systems in 377,028 individuals of European ancestry from the UK Biobank. We discovered 393 genomic loci-BAG pairs (P-value<5×10-8) linked to the brain, eye, cardiovascular, hepatic, immune, metabolic, musculoskeletal, pulmonary, and renal systems. We observed BAG-organ specificity and inter-organ connections. Genetic variants associated with the nine BAGs are predominantly specific to the respective organ system while exerting pleiotropic effects on traits linked to multiple organ systems. A gene-drug-disease network confirmed the involvement of the metabolic BAG-associated genes in drugs targeting various metabolic disorders. Genetic correlation analyses supported Cheverud's Conjecture1 - the genetic correlation between BAGs mirrors their phenotypic correlation. A causal network revealed potential causal effects linking chronic diseases (e.g., Alzheimer's disease), body weight, and sleep duration to the BAG of multiple organ systems. Our findings shed light on promising therapeutic interventions to enhance human organ health within a complex multi-organ network, including lifestyle modifications and potential drug repositioning strategies for treating chronic diseases. All results are publicly available at https://labs-laboratory.com/medicine.

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九个人体器官系统中生物年龄的遗传结构。
了解多器官系统中生物衰老的遗传基础对于阐明与年龄相关的疾病机制和确定治疗干预措施至关重要。这项研究描述了英国生物库377028名欧洲血统个体的九个人体器官系统的生物年龄差距(BAG)的遗传结构。我们发现了393个基因组基因座,包括143个新的基因座,与大脑、眼睛、心血管、肝脏、免疫、代谢、肌肉骨骼、肺和肾系统的BAG相关。我们还观察了BAG器官特异性和器官间串扰。与九种BAG相关的遗传变异主要针对各自的器官系统,同时对与多个器官系统相关的性状产生多效性影响。一个基因-药物-疾病网络证实了代谢BAG相关基因参与靶向各种代谢紊乱的药物。遗传相关性分析支持Cheverud的推测1——BAG之间的遗传相关性反映了它们的表型相关性。因果网络揭示了慢性疾病(如阿尔茨海默病)、体重和睡眠时间与多器官系统BAG之间的潜在因果关系。我们的研究结果揭示了在复杂的多器官网络中增强人体器官健康的有前景的治疗干预措施,包括改变生活方式和治疗慢性病的潜在药物重新定位策略。所有结果可在以下网站公开获取:https://labs.loni.usc.edu/medicine.
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