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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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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. |
format | Online Article Text |
id | pubmed-10312870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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