106 Unraveling the genetic architecture of aging through comparative genomics
Objectives/Goals: To identify the genomic mechanisms underlying cross-species regulation of longevity among mammals and birds and to characterize the impact of those conserved pathways on human aging. More broadly, this study aims to develop a novel evolutionary approach to understand the genetics o...
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| Language: | English |
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Cambridge University Press
2025-04-01
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| Series: | Journal of Clinical and Translational Science |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2059866124007751/type/journal_article |
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| _version_ | 1849393725954850816 |
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| author | William Zhang Marcus Kronforst |
| author_facet | William Zhang Marcus Kronforst |
| author_sort | William Zhang |
| collection | DOAJ |
| description | Objectives/Goals: To identify the genomic mechanisms underlying cross-species regulation of longevity among mammals and birds and to characterize the impact of those conserved pathways on human aging. More broadly, this study aims to develop a novel evolutionary approach to understand the genetics of complex traits. Methods/Study Population: High-quality genome sequences for 194 bird species and 295 mammal species with reliable longevity and body size data were obtained from publicly available resources. The data include coding sequence alignments of 16,863 mammalian and 14,565 avian one-to-one orthologous genes. Gene-wise relative evolutionary rates (RERConverge) and maximum likelihood phylogenetics (PAML) were computed to assess for evidence of purifying selection and positive selection for longevity. As part of ongoing analysis, human orthologs of selected results will be examined in the UK Biobank for validation. Results/Anticipated Results: Preliminarily, we have found a signal of concordant positive selection between two classes of vertebrates separated by hundreds of millions of years. Several genes show signals of positive selection in long-lived species of both birds and mammals. Ongoing work focuses on elucidating the relationship between relative evolutionary rates and positive selection, the overlap in selection signature between long-lived animals with large body sizes and those who are exceptionally long lived for their body size, and further elaborating on convergence between mammals and birds. Discussion/Significance of Impact: Currently, most scientific knowledge about aging is from experiments on short-lived model organisms. By systematically studying the genomes of long-lived mammals and birds, we aim to develop a new method for studying complex traits and uncover novel insights into the mechanisms of longevity. |
| format | Article |
| id | doaj-art-e7db5bf4ef534aa8b5ca64f0f563ec10 |
| institution | Kabale University |
| issn | 2059-8661 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Clinical and Translational Science |
| spelling | doaj-art-e7db5bf4ef534aa8b5ca64f0f563ec102025-08-20T03:40:18ZengCambridge University PressJournal of Clinical and Translational Science2059-86612025-04-019323210.1017/cts.2024.775106 Unraveling the genetic architecture of aging through comparative genomicsWilliam Zhang0Marcus Kronforst1University of ChicagoUniversity of ChicagoObjectives/Goals: To identify the genomic mechanisms underlying cross-species regulation of longevity among mammals and birds and to characterize the impact of those conserved pathways on human aging. More broadly, this study aims to develop a novel evolutionary approach to understand the genetics of complex traits. Methods/Study Population: High-quality genome sequences for 194 bird species and 295 mammal species with reliable longevity and body size data were obtained from publicly available resources. The data include coding sequence alignments of 16,863 mammalian and 14,565 avian one-to-one orthologous genes. Gene-wise relative evolutionary rates (RERConverge) and maximum likelihood phylogenetics (PAML) were computed to assess for evidence of purifying selection and positive selection for longevity. As part of ongoing analysis, human orthologs of selected results will be examined in the UK Biobank for validation. Results/Anticipated Results: Preliminarily, we have found a signal of concordant positive selection between two classes of vertebrates separated by hundreds of millions of years. Several genes show signals of positive selection in long-lived species of both birds and mammals. Ongoing work focuses on elucidating the relationship between relative evolutionary rates and positive selection, the overlap in selection signature between long-lived animals with large body sizes and those who are exceptionally long lived for their body size, and further elaborating on convergence between mammals and birds. Discussion/Significance of Impact: Currently, most scientific knowledge about aging is from experiments on short-lived model organisms. By systematically studying the genomes of long-lived mammals and birds, we aim to develop a new method for studying complex traits and uncover novel insights into the mechanisms of longevity.https://www.cambridge.org/core/product/identifier/S2059866124007751/type/journal_article |
| spellingShingle | William Zhang Marcus Kronforst 106 Unraveling the genetic architecture of aging through comparative genomics Journal of Clinical and Translational Science |
| title | 106 Unraveling the genetic architecture of aging through comparative genomics |
| title_full | 106 Unraveling the genetic architecture of aging through comparative genomics |
| title_fullStr | 106 Unraveling the genetic architecture of aging through comparative genomics |
| title_full_unstemmed | 106 Unraveling the genetic architecture of aging through comparative genomics |
| title_short | 106 Unraveling the genetic architecture of aging through comparative genomics |
| title_sort | 106 unraveling the genetic architecture of aging through comparative genomics |
| url | https://www.cambridge.org/core/product/identifier/S2059866124007751/type/journal_article |
| work_keys_str_mv | AT williamzhang 106unravelingthegeneticarchitectureofagingthroughcomparativegenomics AT marcuskronforst 106unravelingthegeneticarchitectureofagingthroughcomparativegenomics |