How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data
Background and Objective. The influence of genes on human lifespan is mediated by biological processes that characterize body’s functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health and lifespan. The objective of this paper is to i...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-01-01
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| Series: | Frontiers in Genetics |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00003/full |
| _version_ | 1811278435711975424 |
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| author | Anatoliy I Yashin Konstantin G Arbeev Deqing eWu Liubov S. Arbeeva Alexander eKulminski Igor eAkushevich Irina eCulminskaya Eric eStallard Svetlana eUkraintseva |
| author_facet | Anatoliy I Yashin Konstantin G Arbeev Deqing eWu Liubov S. Arbeeva Alexander eKulminski Igor eAkushevich Irina eCulminskaya Eric eStallard Svetlana eUkraintseva |
| author_sort | Anatoliy I Yashin |
| collection | DOAJ |
| description | Background and Objective. The influence of genes on human lifespan is mediated by biological processes that characterize body’s functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health and lifespan. The objective of this paper is to investigate regularities of aging changes in different groups of individuals, including individuals with different genetic background, as well as their connections with health and lifespan. Data and Method. To reach this objective we used longitudinal data on four physiological variables, information about health and lifespan collected in the Framingham Heart Study, data on longevity alleles detected in earlier study, as well as methods of statistical modeling. Results. We found that phenotypes of exceptional longevity and health are linked to distinct types of changes in physiological indices during aging. We also found that components of aging changes differ in groups of individuals with different genetic background.Conclusions. These results suggest that factors responsible for exceptional longevity and health are not necessary the same, and that postponing aging changes is associated with extreme longevity. The genetic factors which increase lifespan are associated with physiological changes typical of healthy and long-living individuals, smaller mortality risks from cancer and CVD and better estimates of adaptive capacity in statistical modeling. This indicates that extreme longevity and health related traits are likely to be less heterogeneous phenotypes than lifespan, and studying these phenotypes separately from lifespan may provide additional information about mechanisms of human aging and its relation to chronic diseases and lifespan. |
| first_indexed | 2024-04-13T00:35:49Z |
| format | Article |
| id | doaj.art-7f9c590acf6e4c5ba60bfa8e5d847faf |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-13T00:35:49Z |
| publishDate | 2013-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-7f9c590acf6e4c5ba60bfa8e5d847faf2022-12-22T03:10:20ZengFrontiers Media S.A.Frontiers in Genetics1664-80212013-01-01410.3389/fgene.2013.0000339453How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal dataAnatoliy I Yashin0Konstantin G Arbeev1Deqing eWu2Liubov S. Arbeeva3Alexander eKulminski4Igor eAkushevich5Irina eCulminskaya6Eric eStallard7Svetlana eUkraintseva8Duke UniversityDuke UniversityDuke UniversityDuke UniversityDuke UniversityDuke UniversityDuke UniversityDuke UniversityDuke UniversityBackground and Objective. The influence of genes on human lifespan is mediated by biological processes that characterize body’s functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health and lifespan. The objective of this paper is to investigate regularities of aging changes in different groups of individuals, including individuals with different genetic background, as well as their connections with health and lifespan. Data and Method. To reach this objective we used longitudinal data on four physiological variables, information about health and lifespan collected in the Framingham Heart Study, data on longevity alleles detected in earlier study, as well as methods of statistical modeling. Results. We found that phenotypes of exceptional longevity and health are linked to distinct types of changes in physiological indices during aging. We also found that components of aging changes differ in groups of individuals with different genetic background.Conclusions. These results suggest that factors responsible for exceptional longevity and health are not necessary the same, and that postponing aging changes is associated with extreme longevity. The genetic factors which increase lifespan are associated with physiological changes typical of healthy and long-living individuals, smaller mortality risks from cancer and CVD and better estimates of adaptive capacity in statistical modeling. This indicates that extreme longevity and health related traits are likely to be less heterogeneous phenotypes than lifespan, and studying these phenotypes separately from lifespan may provide additional information about mechanisms of human aging and its relation to chronic diseases and lifespan.http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00003/fullage trajectoriesphysiological variableslongevity genesgenetic doseintegrative genetic mortality model |
| spellingShingle | Anatoliy I Yashin Konstantin G Arbeev Deqing eWu Liubov S. Arbeeva Alexander eKulminski Igor eAkushevich Irina eCulminskaya Eric eStallard Svetlana eUkraintseva How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data Frontiers in Genetics age trajectories physiological variables longevity genes genetic dose integrative genetic mortality model |
| title | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
| title_full | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
| title_fullStr | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
| title_full_unstemmed | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
| title_short | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
| title_sort | how lifespan associated genes modulate aging changes lessons from analysis of longitudinal data |
| topic | age trajectories physiological variables longevity genes genetic dose integrative genetic mortality model |
| url | http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00003/full |
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