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Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease
Are shorter telomeres causal risk factors for Alzheimer’s disease (AD)? This study aimed to examine if shorter telomeres were causally associated with a higher risk of AD using Mendelian randomization (MR) analysis. Two-sample MR methods were applied to the summary effect sizes and standard errors f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934420/ https://www.ncbi.nlm.nih.gov/pubmed/33679878 http://dx.doi.org/10.3389/fgene.2021.595864 |
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author | Yu, Guangping Lu, Leihong Ma, Zaihong Wu, Shouhai |
author_facet | Yu, Guangping Lu, Leihong Ma, Zaihong Wu, Shouhai |
author_sort | Yu, Guangping |
collection | PubMed |
description | Are shorter telomeres causal risk factors for Alzheimer’s disease (AD)? This study aimed to examine if shorter telomeres were causally associated with a higher risk of AD using Mendelian randomization (MR) analysis. Two-sample MR methods were applied to the summary effect sizes and standard errors from a genome-wide association study for AD. Twenty single nucleotide polymorphisms of genome-wide significance were selected as instrumental variables for leukocyte telomere length. The main analyses were performed primarily using the random-effects inverse-variance weighted method and complemented with the other three methods: weighted median approaches, MR-Egger regression, and weighted mode approach. The intercept of MR-Egger regression was used to assess horizontal pleiotropy. We found that longer telomeres were associated with lower risks of AD (odds ratio = 0.79, 95% confidence interval: 0.67, 0.93, P = 0.004). Comparable results were obtained using weighted median approaches, MR-Egger regression, and weighted mode approaches. The intercept of the MR-Egger regression was close to zero. This may show that there was not suggestive of horizontal pleiotropy. Our findings provided additional evidence regarding the putative causal association between shorter telomere length and the higher risk of AD. |
format | Online Article Text |
id | pubmed-7934420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79344202021-03-06 Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease Yu, Guangping Lu, Leihong Ma, Zaihong Wu, Shouhai Front Genet Genetics Are shorter telomeres causal risk factors for Alzheimer’s disease (AD)? This study aimed to examine if shorter telomeres were causally associated with a higher risk of AD using Mendelian randomization (MR) analysis. Two-sample MR methods were applied to the summary effect sizes and standard errors from a genome-wide association study for AD. Twenty single nucleotide polymorphisms of genome-wide significance were selected as instrumental variables for leukocyte telomere length. The main analyses were performed primarily using the random-effects inverse-variance weighted method and complemented with the other three methods: weighted median approaches, MR-Egger regression, and weighted mode approach. The intercept of MR-Egger regression was used to assess horizontal pleiotropy. We found that longer telomeres were associated with lower risks of AD (odds ratio = 0.79, 95% confidence interval: 0.67, 0.93, P = 0.004). Comparable results were obtained using weighted median approaches, MR-Egger regression, and weighted mode approaches. The intercept of the MR-Egger regression was close to zero. This may show that there was not suggestive of horizontal pleiotropy. Our findings provided additional evidence regarding the putative causal association between shorter telomere length and the higher risk of AD. Frontiers Media S.A. 2021-02-19 /pmc/articles/PMC7934420/ /pubmed/33679878 http://dx.doi.org/10.3389/fgene.2021.595864 Text en Copyright © 2021 Yu, Lu, Ma and Wu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Yu, Guangping Lu, Leihong Ma, Zaihong Wu, Shouhai Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease |
title | Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease |
title_full | Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease |
title_fullStr | Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease |
title_full_unstemmed | Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease |
title_short | Genetically Predicted Telomere Length and Its Relationship With Alzheimer’s Disease |
title_sort | genetically predicted telomere length and its relationship with alzheimer’s disease |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934420/ https://www.ncbi.nlm.nih.gov/pubmed/33679878 http://dx.doi.org/10.3389/fgene.2021.595864 |
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