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The Genetic Architecture of Biological Age in Nine Human Organ Systems

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 i...

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Autores principales: Wen, Junhao, Tian, Ye Ella, Skampardoni, Ioanna, Yang, Zhijian, Mamourian, Elizabeth, Anagnostakis, Filippos, Zhao, Bingxin, Toga, Arthur W., Zaleskey, Andrew, Davatzikos, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312870/
https://www.ncbi.nlm.nih.gov/pubmed/37398441
http://dx.doi.org/10.1101/2023.06.08.23291168
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author Wen, Junhao
Tian, Ye Ella
Skampardoni, Ioanna
Yang, Zhijian
Mamourian, Elizabeth
Anagnostakis, Filippos
Zhao, Bingxin
Toga, Arthur W.
Zaleskey, Andrew
Davatzikos, Christos
author_facet Wen, Junhao
Tian, Ye Ella
Skampardoni, Ioanna
Yang, Zhijian
Mamourian, Elizabeth
Anagnostakis, Filippos
Zhao, Bingxin
Toga, Arthur W.
Zaleskey, Andrew
Davatzikos, Christos
author_sort Wen, Junhao
collection PubMed
description 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, including 143 novel loci, associated with the BAG of the brain, eye, cardiovascular, hepatic, immune, metabolic, musculoskeletal, pulmonary, and renal systems. We also observed BAG-organ specificity and inter-organ crosstalk. 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.loni.usc.edu/medicine.
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spelling pubmed-103128702023-07-01 The Genetic Architecture of Biological Age in Nine Human Organ Systems Wen, Junhao Tian, Ye Ella Skampardoni, Ioanna Yang, Zhijian Mamourian, Elizabeth Anagnostakis, Filippos Zhao, Bingxin Toga, Arthur W. Zaleskey, Andrew Davatzikos, Christos medRxiv Article 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, including 143 novel loci, associated with the BAG of the brain, eye, cardiovascular, hepatic, immune, metabolic, musculoskeletal, pulmonary, and renal systems. We also observed BAG-organ specificity and inter-organ crosstalk. 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.loni.usc.edu/medicine. Cold Spring Harbor Laboratory 2023-06-17 /pmc/articles/PMC10312870/ /pubmed/37398441 http://dx.doi.org/10.1101/2023.06.08.23291168 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Wen, Junhao
Tian, Ye Ella
Skampardoni, Ioanna
Yang, Zhijian
Mamourian, Elizabeth
Anagnostakis, Filippos
Zhao, Bingxin
Toga, Arthur W.
Zaleskey, Andrew
Davatzikos, Christos
The Genetic Architecture of Biological Age in Nine Human Organ Systems
title The Genetic Architecture of Biological Age in Nine Human Organ Systems
title_full The Genetic Architecture of Biological Age in Nine Human Organ Systems
title_fullStr The Genetic Architecture of Biological Age in Nine Human Organ Systems
title_full_unstemmed The Genetic Architecture of Biological Age in Nine Human Organ Systems
title_short The Genetic Architecture of Biological Age in Nine Human Organ Systems
title_sort genetic architecture of biological age in nine human organ systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312870/
https://www.ncbi.nlm.nih.gov/pubmed/37398441
http://dx.doi.org/10.1101/2023.06.08.23291168
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