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From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing

Many of the leading causes of death in humans, such as cardiovascular disease, type 2 diabetes and Alzheimer’s disease are influenced by biological mechanisms that become dysregulated with increasing age. Hence, by targeting these ageing-related mechanisms, we may be able to improve health in old ag...

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Autores principales: Baghdadi, Maarouf, Hinterding, Helena M, Partridge, Linda, Deelen, Joris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789301/
https://www.ncbi.nlm.nih.gov/pubmed/33690799
http://dx.doi.org/10.1093/bfgp/elab005
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author Baghdadi, Maarouf
Hinterding, Helena M
Partridge, Linda
Deelen, Joris
author_facet Baghdadi, Maarouf
Hinterding, Helena M
Partridge, Linda
Deelen, Joris
author_sort Baghdadi, Maarouf
collection PubMed
description Many of the leading causes of death in humans, such as cardiovascular disease, type 2 diabetes and Alzheimer’s disease are influenced by biological mechanisms that become dysregulated with increasing age. Hence, by targeting these ageing-related mechanisms, we may be able to improve health in old age. Ageing is partly heritable and genetic studies have been moderately successful in identifying genetic variants associated with ageing-related phenotypes (lifespan, healthspan and longevity). To decipher the mechanisms by which the identified variants influence ageing, studies that focus on their functional validation are vital. In this perspective, we describe the steps that could be taken in the process of functional validation: (1) in silico characterisation using bioinformatic tools; (2) in vitro characterisation using cell lines or organoids; and (3) in vivo characterisation studies using model organisms. For the in vivo characterisation, it is important to focus on translational phenotypes that are indicative of both healthspan and lifespan, such as the frailty index, to inform subsequent intervention studies. The depth of functional validation of a genetic variant depends on its location in the genome and conservation in model organisms. Moreover, some variants may prove to be hard to characterise due to context-dependent effects related to the experimental environment or genetic background. Future efforts to functionally characterise the (newly) identified genetic variants should shed light on the mechanisms underlying ageing and will help in the design of targeted interventions to improve health in old age.
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spelling pubmed-87893012022-01-26 From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing Baghdadi, Maarouf Hinterding, Helena M Partridge, Linda Deelen, Joris Brief Funct Genomics Review Paper Many of the leading causes of death in humans, such as cardiovascular disease, type 2 diabetes and Alzheimer’s disease are influenced by biological mechanisms that become dysregulated with increasing age. Hence, by targeting these ageing-related mechanisms, we may be able to improve health in old age. Ageing is partly heritable and genetic studies have been moderately successful in identifying genetic variants associated with ageing-related phenotypes (lifespan, healthspan and longevity). To decipher the mechanisms by which the identified variants influence ageing, studies that focus on their functional validation are vital. In this perspective, we describe the steps that could be taken in the process of functional validation: (1) in silico characterisation using bioinformatic tools; (2) in vitro characterisation using cell lines or organoids; and (3) in vivo characterisation studies using model organisms. For the in vivo characterisation, it is important to focus on translational phenotypes that are indicative of both healthspan and lifespan, such as the frailty index, to inform subsequent intervention studies. The depth of functional validation of a genetic variant depends on its location in the genome and conservation in model organisms. Moreover, some variants may prove to be hard to characterise due to context-dependent effects related to the experimental environment or genetic background. Future efforts to functionally characterise the (newly) identified genetic variants should shed light on the mechanisms underlying ageing and will help in the design of targeted interventions to improve health in old age. Oxford University Press 2021-03-05 /pmc/articles/PMC8789301/ /pubmed/33690799 http://dx.doi.org/10.1093/bfgp/elab005 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Paper
Baghdadi, Maarouf
Hinterding, Helena M
Partridge, Linda
Deelen, Joris
From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
title From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
title_full From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
title_fullStr From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
title_full_unstemmed From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
title_short From mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
title_sort from mutation to mechanism: deciphering the molecular function of genetic variants linked to human ageing
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789301/
https://www.ncbi.nlm.nih.gov/pubmed/33690799
http://dx.doi.org/10.1093/bfgp/elab005
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