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Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease

Age is major risk factor for AD; however, relationships between aging and AD are not well understood. Decline in physiological resilience is universal feature of human aging that may also play role in AD. Aging-related pathways (such as IGF-I/P53/mTOR-mediated) that are involved in tissue resilience...

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Autores principales: Ukraintseva, Svetlana, Arbeev, Konstantin, Duan, Hongzhe, Akushevich, Igor, Feitosa, Mary, Christensen, Kaare, Stallard, Eric, Yashin, Anatoliy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741718/
http://dx.doi.org/10.1093/geroni/igaa057.467
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author Ukraintseva, Svetlana
Arbeev, Konstantin
Duan, Hongzhe
Akushevich, Igor
Feitosa, Mary
Christensen, Kaare
Stallard, Eric
Yashin, Anatoliy
author_facet Ukraintseva, Svetlana
Arbeev, Konstantin
Duan, Hongzhe
Akushevich, Igor
Feitosa, Mary
Christensen, Kaare
Stallard, Eric
Yashin, Anatoliy
author_sort Ukraintseva, Svetlana
collection PubMed
description Age is major risk factor for AD; however, relationships between aging and AD are not well understood. Decline in physiological resilience is universal feature of human aging that may also play role in AD. Aging-related pathways (such as IGF-I/P53/mTOR-mediated) that are involved in tissue resilience work in concert to decide outcomes of cell responses to stress/damage, such as survival, apoptosis, autophagy, etc. We hypothesized that interplay among genes in these pathways may influence AD risk as result of epistasis (GxG). We estimated effects of pairwise epistasis between SNPs in 53 genes from respective pathways on AD risk in the LLFS compared with other data (HRS, CHS, LOADFS). We found significant (fdr<0.05) GxG effects on AD risk in older adults across datasets. The SNP rs11765954 in CDK6 gene was involved in top GxG effects on AD in all datasets, when paired with SNPs in BCL2 and PPARGC1A. The CDK6 role in AD could be pleiotropic, depending on its activity in neurons: CDK6 expression is needed for DNA repair and neuronal survival; however, CDK6 overexpression may lead to the cell cycle reentry in postmitotic neurons resulting in apoptosis, which may contribute to neurodegeneration. CDK6 was earlier found to interfere with BCL2 effects on apoptosis, and with PPARGC1A effects on energy metabolism, which might contribute to observed GxG between these genes. We conclude that interactions among genes from biologically connected aging pathways may significantly influence AD risk. Uncovering such GxG effects has a potential to yield new genetic targets for AD prevention/treatment.
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spelling pubmed-77417182020-12-21 Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease Ukraintseva, Svetlana Arbeev, Konstantin Duan, Hongzhe Akushevich, Igor Feitosa, Mary Christensen, Kaare Stallard, Eric Yashin, Anatoliy Innov Aging Abstracts Age is major risk factor for AD; however, relationships between aging and AD are not well understood. Decline in physiological resilience is universal feature of human aging that may also play role in AD. Aging-related pathways (such as IGF-I/P53/mTOR-mediated) that are involved in tissue resilience work in concert to decide outcomes of cell responses to stress/damage, such as survival, apoptosis, autophagy, etc. We hypothesized that interplay among genes in these pathways may influence AD risk as result of epistasis (GxG). We estimated effects of pairwise epistasis between SNPs in 53 genes from respective pathways on AD risk in the LLFS compared with other data (HRS, CHS, LOADFS). We found significant (fdr<0.05) GxG effects on AD risk in older adults across datasets. The SNP rs11765954 in CDK6 gene was involved in top GxG effects on AD in all datasets, when paired with SNPs in BCL2 and PPARGC1A. The CDK6 role in AD could be pleiotropic, depending on its activity in neurons: CDK6 expression is needed for DNA repair and neuronal survival; however, CDK6 overexpression may lead to the cell cycle reentry in postmitotic neurons resulting in apoptosis, which may contribute to neurodegeneration. CDK6 was earlier found to interfere with BCL2 effects on apoptosis, and with PPARGC1A effects on energy metabolism, which might contribute to observed GxG between these genes. We conclude that interactions among genes from biologically connected aging pathways may significantly influence AD risk. Uncovering such GxG effects has a potential to yield new genetic targets for AD prevention/treatment. Oxford University Press 2020-12-16 /pmc/articles/PMC7741718/ http://dx.doi.org/10.1093/geroni/igaa057.467 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Ukraintseva, Svetlana
Arbeev, Konstantin
Duan, Hongzhe
Akushevich, Igor
Feitosa, Mary
Christensen, Kaare
Stallard, Eric
Yashin, Anatoliy
Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease
title Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease
title_full Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease
title_fullStr Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease
title_full_unstemmed Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease
title_short Interactions Between Genes From Aging Pathways Significantly Influence Risk of Alzheimer’s Disease
title_sort interactions between genes from aging pathways significantly influence risk of alzheimer’s disease
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741718/
http://dx.doi.org/10.1093/geroni/igaa057.467
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