Evidence map›Paper›PMID 34930919›Full record

ArticleNature communications2021

Finding genetically-supported drug targets for Parkinson's disease using Mendelian randomization of the druggable genome.

Catherine S Storm, Demis A Kia, Mona M Almramhi, Sara Bandres-Ciga, Chris Finan, International Parkinson’s Disease Genomics Consortium (IPDGC), Aroon D Hingorani, Nicholas W Wood

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 3 pooled it
25.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

142 citing papers in PubMed, 3 syntheses or guidelines pooled it, 207 citations in OpenAlex.

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  19. Genetic analysis of neurodegenerative diseases.The Journal of clinical investigation · 2026
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82 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 20 institutions in 17 countries.

Catherine S StormDepartment of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK.ORCID 0000-0003-4957-1712
Demis A KiaDepartment of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK.
Mona M AlmramhiDepartment of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK.
Sara Bandres-CigaLaboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.
Chris FinanInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London WC1E 6BT, UK.ORCID 0000-0002-3319-1937
International Parkinson’s Disease Genomics Consortium (IPDGC)
Aroon D HingoraniInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London WC1E 6BT, UK.ORCID 0000-0001-8365-0081
Nicholas W WoodDepartment of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK. n.wood@ucl.ac.uk.ORCID 0000-0002-9500-3348
University College London · GBInstituto de Biomedicina de Sevilla · ESNational Institute on Aging · USHospital Clínic de Barcelona · ESGerman Center for Neurodegenerative Diseases · DEUniversity Hospital Mútua de Terrassa · ESBiogipuzkoa Health Research Institute · ESHospital Universitario Central de Asturias · ESUniversitat Autònoma de Barcelona · ESCentre National de la Recherche Scientifique · FRMontreal Neurological Institute and Hospital · CAUniversidad de Granada · ESHospital General De Segovia · ESInstituto de Investigación Biosanitaria de Granada · ESInstituto de Investigación Marqués de Valdecilla · ESNational Institutes of Health · USUniversity of Liverpool · GBBaylor College of Medicine · USCardiff University · GBHospital Clínico Universitario Virgen de la Victoria · ES

Funding

Medical Research Council G0701075Medical Research Council G0901254Medical Research Council G1001253Medical Research Council MR/J004758/1Medical Research Council MR/K01417X/1Medical Research Council MR/L501542/1Medical Research Council MR/N026004/1Parkinson's UK G-0907Parkinson's UK G-1307
6 · The paper itself

Abstract

Parkinson's disease is a neurodegenerative movement disorder that currently has no disease-modifying treatment, partly owing to inefficiencies in drug target identification and validation. We use Mendelian randomization to investigate over 3,000 genes that encode druggable proteins and predict their efficacy as drug targets for Parkinson's disease. We use expression and protein quantitative trait loci to mimic exposure to medications, and we examine the causal effect on Parkinson's disease risk (in two large cohorts), age at onset and progression. We propose 23 drug-targeting mechanisms for Parkinson's disease, including four possible drug repurposing opportunities and two drugs which may increase Parkinson's disease risk. Of these, we put forward six drug targets with the strongest Mendelian randomization evidence. There is remarkably little overlap between our drug targets to reduce Parkinson's disease risk versus progression, suggesting different molecular mechanisms. Drugs with genetic support are considerably more likely to succeed in clinical trials, and we provide compelling genetic evidence and an analysis pipeline to prioritise Parkinson's disease drug development.

Indexed as

Genome, HumanMendelian Randomization AnalysisBrainCase-Control StudiesCohort StudiesDisease ProgressionGene Expression RegulationGenetic Predisposition to DiseaseGenetic VariationHumansParkinson DiseaseQuantitative Trait LociRisk Factors

Identifiers

PMID34930919
PMCPMC8688480
OpenAlexW4200155235

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.