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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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.
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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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