Evidence map›Paper›PMID 35762106›Full record

ArticleAnnals of clinical and translational neurology2022

Genetic prediction of impulse control disorders in Parkinson's disease.

Daniel Weintraub, Marijan Posavi, Pierre Fontanillas, Thomas F Tropea, Eugenia Mamikonyan, Eunran Suh, John Q Trojanowski, Paul Cannon, Vivianna M Van Deerlin, 23andMe Research Team and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
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  6. Impulse control and related behavioral disorders in Parkinson's disease. Risk factors, diagnosis, and management. Is there a possible role for non-invasive brain stimulation?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  7. Behavioral disorders in Parkinson disease: current view.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Review
  8. Review
  9. Neuropsychiatric disorders in Parkinson's disease.Therapeutic advances in neurological disorders · 2025
    Review
  10. Article
  11. Review
  12. The Association of Antidepressant Use and Impulse Control Disorder in Parkinson's Disease.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Observational
  13. Article
  14. Article
  15. Parkinson's Disease is Predominantly a Genetic Disease.Journal of Parkinson's disease · 2024
    Review
  16. Article
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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

11 authors at 3 institutions in 1 country.

Daniel Weintraub *Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0633-7168
Marijan Posavi *Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Pierre Fontanillas23andMe, Sunnyvale, California, USA.
Thomas F TropeaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0766-1496
Eugenia MamikonyanDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Eunran SuhDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John Q TrojanowskiDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Paul Cannon23andMe, Sunnyvale, California, USA.
Vivianna M Van DeerlinDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
23andMe Research Team23andMe, Sunnyvale, California, USA.
Alice S Chen-PlotkinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-3387-2038
University of Pennsylvania · US23andMe (United States) · USVeterans Health Administration · US

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Project IV: "Alpha-Synuclein Strains & Diverse Synucleinopathies"P50NS053488 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2007 to 2017
$20.9M
Project IV "Tackling Heterogeneity of Cognitive Trajectory in LBD"U19AG062418 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2019 to 2023
$18.1M
Biomarkers of cognitive decline in Parkinson's DiseaseR01NS115139 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2019 to 2023
$3.6M
NIA NIH HHS P30 AG072979NIA NIH HHS U19 AG062418NINDS NIH HHS P50 NS053488NINDS NIH HHS R01 NS115139NINDS NIH HHS RO1 NS115139
6 · The paper itself

Abstract

objectiveTo develop a clinico-genetic predictor of impulse control disorder (ICD) risk in Parkinson's disease (PD).

methodsIn 5770 individuals from three PD cohorts (the 23andMe, Inc.; the University of Pennsylvania [UPenn]; and the Parkinson's Progression Markers Initiative [PPMI]), we used a discovery-replication strategy to develop a clinico-genetic predictor for ICD risk. We first performed a Genomewide Association Study (GWAS) for ICDs anytime during PD in 5262 PD individuals from the 23andMe cohort. We then combined newly discovered ICD risk loci with 13 ICD risk loci previously reported in the literature to develop a model predicting ICD in a Training dataset (n = 339, from UPenn and PPMI cohorts). The model was tested in a non-overlapping Test dataset (n = 169, from UPenn and PPMI cohorts) and used to derive a continuous measure, the ICD-risk score (ICD-RS), enriching for PD individuals with ICD (ICD+ PD).

resultsBy GWAS, we discovered four new loci associated with ICD at p-values of 4.9e-07 to 1.3e-06

interpretationIn this multi-cohort, international study, we developed an easily computed clinico-genetic tool, the ICD-RS, that substantially enriches for subgroups of PD at very high versus very low risk for ICD, enabling pharmacogenetic approaches to PD medication selection.

Indexed as

Disruptive, Impulse Control, and Conduct DisordersParkinson DiseaseBiomarkersCohort StudiesHumansLogistic ModelsBiomarkers

Identifiers

PMID35762106
PMCPMC9268896
OpenAlexW4283639665

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.