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Mendelian randomization study of diabetes and dementia in the Million Veteran Program
INTRODUCTION: Diabetes and dementia are diseases of high healthcare burden worldwide. Individuals with diabetes have 1.4 to 2.2 times higher risk of dementia. Our objective was to evaluate evidence of causality between these two common diseases. METHODS: We conducted a one-sample Mendelian randomiza...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029030/ https://www.ncbi.nlm.nih.gov/pubmed/36945581 http://dx.doi.org/10.1101/2023.03.07.23286526 |
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author | Litkowski, Elizabeth M Logue, Mark W Zhang, Rui Charest, Brian R Lange, Ethan M Hokanson, John E Lynch, Julie A Vujkovic, Marijana Phillips, Lawrence S Hauger, Richard L Lange, Leslie A Raghavan, Sridharan |
author_facet | Litkowski, Elizabeth M Logue, Mark W Zhang, Rui Charest, Brian R Lange, Ethan M Hokanson, John E Lynch, Julie A Vujkovic, Marijana Phillips, Lawrence S Hauger, Richard L Lange, Leslie A Raghavan, Sridharan |
author_sort | Litkowski, Elizabeth M |
collection | PubMed |
description | INTRODUCTION: Diabetes and dementia are diseases of high healthcare burden worldwide. Individuals with diabetes have 1.4 to 2.2 times higher risk of dementia. Our objective was to evaluate evidence of causality between these two common diseases. METHODS: We conducted a one-sample Mendelian randomization (MR) analysis in the U.S. Department of Veterans Affairs Million Veteran program. The study included 334,672 participants ≥65 years of age with type 2 diabetes and dementia case-control status and genotype data. RESULTS: For each standard deviation increase in genetically-predicted diabetes, we found increased odds of three dementia diagnoses in non-Hispanic White participants (all-cause: OR=1.07[1.05-1.08],P=3.40E-18; vascular: OR=1.11[1.07-1.15],P=3.63E-09, Alzheimer’s: OR=1.06[1.02-1.09],P=6.84E-04) and non-Hispanic Black participants (all-cause: OR=1.06[1.02-1.10],P=3.66E-03, vascular: OR=1.11[1.04-1.19],P=2.20E-03, Alzheimer’s: OR=1.12 [1.02-1.23],P=1.60E-02) but not in Hispanic participants (all P>.05). DISCUSSION: We found evidence of causality between diabetes and dementia using a one-sample MR study, with access to individual level data, overcoming limitations of prior studies utilizing two-sample MR techniques. |
format | Online Article Text |
id | pubmed-10029030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-100290302023-03-22 Mendelian randomization study of diabetes and dementia in the Million Veteran Program Litkowski, Elizabeth M Logue, Mark W Zhang, Rui Charest, Brian R Lange, Ethan M Hokanson, John E Lynch, Julie A Vujkovic, Marijana Phillips, Lawrence S Hauger, Richard L Lange, Leslie A Raghavan, Sridharan medRxiv Article INTRODUCTION: Diabetes and dementia are diseases of high healthcare burden worldwide. Individuals with diabetes have 1.4 to 2.2 times higher risk of dementia. Our objective was to evaluate evidence of causality between these two common diseases. METHODS: We conducted a one-sample Mendelian randomization (MR) analysis in the U.S. Department of Veterans Affairs Million Veteran program. The study included 334,672 participants ≥65 years of age with type 2 diabetes and dementia case-control status and genotype data. RESULTS: For each standard deviation increase in genetically-predicted diabetes, we found increased odds of three dementia diagnoses in non-Hispanic White participants (all-cause: OR=1.07[1.05-1.08],P=3.40E-18; vascular: OR=1.11[1.07-1.15],P=3.63E-09, Alzheimer’s: OR=1.06[1.02-1.09],P=6.84E-04) and non-Hispanic Black participants (all-cause: OR=1.06[1.02-1.10],P=3.66E-03, vascular: OR=1.11[1.04-1.19],P=2.20E-03, Alzheimer’s: OR=1.12 [1.02-1.23],P=1.60E-02) but not in Hispanic participants (all P>.05). DISCUSSION: We found evidence of causality between diabetes and dementia using a one-sample MR study, with access to individual level data, overcoming limitations of prior studies utilizing two-sample MR techniques. Cold Spring Harbor Laboratory 2023-03-09 /pmc/articles/PMC10029030/ /pubmed/36945581 http://dx.doi.org/10.1101/2023.03.07.23286526 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Litkowski, Elizabeth M Logue, Mark W Zhang, Rui Charest, Brian R Lange, Ethan M Hokanson, John E Lynch, Julie A Vujkovic, Marijana Phillips, Lawrence S Hauger, Richard L Lange, Leslie A Raghavan, Sridharan Mendelian randomization study of diabetes and dementia in the Million Veteran Program |
title | Mendelian randomization study of diabetes and dementia in the Million Veteran Program |
title_full | Mendelian randomization study of diabetes and dementia in the Million Veteran Program |
title_fullStr | Mendelian randomization study of diabetes and dementia in the Million Veteran Program |
title_full_unstemmed | Mendelian randomization study of diabetes and dementia in the Million Veteran Program |
title_short | Mendelian randomization study of diabetes and dementia in the Million Veteran Program |
title_sort | mendelian randomization study of diabetes and dementia in the million veteran program |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029030/ https://www.ncbi.nlm.nih.gov/pubmed/36945581 http://dx.doi.org/10.1101/2023.03.07.23286526 |
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