Evidence map›Paper›PMID 42039925›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Druggable genome-wide Mendelian randomization analysis identifies potential treatment targets in vascular dementia.

Matthew J Lennon, Ying Xu, Anbupalam Thalamuthu, Karen Mather, Perminder S Sachdev

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Matthew J LennonCentre for Healthy Brain Aging (CHeBA) Discipline of Psychiatry and Mental Health Faculty of Medicine and Health University of New South Wales Sydney New South Wales Australia.ORCID https://orcid.org/0000-0001-7097-3666
Ying XuCentre for Healthy Brain Aging (CHeBA) Discipline of Psychiatry and Mental Health Faculty of Medicine and Health University of New South Wales Sydney New South Wales Australia.
Anbupalam ThalamuthuCentre for Healthy Brain Aging (CHeBA) Discipline of Psychiatry and Mental Health Faculty of Medicine and Health University of New South Wales Sydney New South Wales Australia.
Karen MatherCentre for Healthy Brain Aging (CHeBA) Discipline of Psychiatry and Mental Health Faculty of Medicine and Health University of New South Wales Sydney New South Wales Australia.
Perminder S SachdevCentre for Healthy Brain Aging (CHeBA) Discipline of Psychiatry and Mental Health Faculty of Medicine and Health University of New South Wales Sydney New South Wales Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are currently no US Food and Drug Administration-approved treatments for vascular dementia (VaD). Genome-wide approaches have successfully identified druggable targets and treatments for various disorders. In this study, we performed druggable genome-wide two-sample Mendelian randomization (2SMR) analysis to identify possible treatment targets for VaD.

methods2SMR analyses were used to estimate the causal effects of druggable gene expression on VaD risk. The exposure variables were significant cis-expression quantitative trait loci (eQTLs) and cis-protein quantitative trait loci (pQTLs) in the cerebrospinal fluid (CSF), brain, and plasma. The main outcome variable was genetic VaD risk, based on the Mega Vascular Cognitive Impairment and Dementia Consortium genome-wide association study. 2SMR analysis examined the causal relationship between eQTLs/pQTLs and imaging markers of VaD. A phenome-wide 2SMR analysis explored the relationships between significant druggable genes and phenotype summary statistics derived from the UK Biobank. False discovery rate (FDR)

resultsA total of 12,224 druggable genes were identified from the Drug-Gene Interaction Database (DGIdb) and associated papers. Of these, the 2SMR analysis identified four FDR-significant genes in the pQTL analysis, with none identified among the eQTLs. In the CSF, DISCUSSION: This study identified four potential drug targets for VaD, using a 2SMR analysis approach. Two genes,

Indexed as

druggable genesgeneticsmedicationMendelian randomizationvascular dementia

Identifiers

PMID42039925
PMCPMC13102677

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.