The Genetic Architecture of Biological Age in Nine Human Organ Systems

Junhao Wen(University of Southern California), Ye Tian(The University of Melbourne), Ioanna Skampardoni(University of Pennsylvania), Zhijian Yang(University of Pennsylvania), Yuhan Cui(University of Pennsylvania), Filippos Anagnostakis(University of Bologna), Elizabeth Mamourian(University of Pennsylvania), Bingxin Zhao(University of Pennsylvania), Arthur W. Toga(University of Southern California), Andrew Zaleskey(The University of Melbourne), Christos Davatzikos(University of Pennsylvania)
medRxiv
June 12, 2023
Cited by 17Open Access
Full Text

Abstract

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 Conjecture 1 – 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 .


Related Papers

No related papers found

Powered by citation graph analysis