Evidence map›Paper›PMID 30937360›Full record

ArticleNPJ Parkinson's disease2019

The Parkinson's phenome-traits associated with Parkinson's disease in a broadly phenotyped cohort.

Karl Heilbron, Alastair J Noyce, Pierre Fontanillas, Babak Alipanahi, Mike A Nalls, 23andMe Research Team, Paul Cannon

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
4.2field-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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Neuroticism and Risk of Parkinson's Disease: A Meta-Analysis.Movement disorders : official journal of the Movement Disorder Society · 2021
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Skin conditions in early Parkinson's disease.Parkinsonism & related disorders · 2021
    Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Deep Phenotyping of Parkinson's Disease.Journal of Parkinson's disease · 2020
    Review
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

7 authors at 3 institutions in 2 countries.

Karl Heilbron123andMe, Inc., 899W Evelyn Avenue, Mountain View, CA 94041 USA.
Alastair J Noyce2Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Pierre Fontanillas123andMe, Inc., 899W Evelyn Avenue, Mountain View, CA 94041 USA.
Babak Alipanahi123andMe, Inc., 899W Evelyn Avenue, Mountain View, CA 94041 USA.ORCID 0000-0001-8216-7178
Mike A NallsData Tecnica International, Glen Echo, MD USA.
23andMe Research Team
Paul Cannon123andMe, Inc., 899W Evelyn Avenue, Mountain View, CA 94041 USA.
23andMe (United States) · USData Tecnica International (United States) · USQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to systematically describe the Parkinson's disease phenome, we performed a series of 832 cross-sectional case-control analyses in a large database. Responses to 832 online survey-based phenotypes including diseases, medications, and environmental exposures were analyzed in 23andMe research participants. For each phenotype, survey respondents were used to construct a cohort of Parkinson's disease cases and age-matched and sex-matched controls, and an association test was performed using logistic regression. Cohorts included a median of 3899 Parkinson's disease cases and 49,808 controls, all of European ancestry. Highly correlated phenotypes were removed and the novelty of each significant association was systematically assessed (assigned to one of four categories: known, likely, unclear, or novel). Parkinson's disease diagnosis was associated with 122 phenotypes. We replicated 27 known associations and found 23 associations with a strong a priori link to a known association. We discovered 42 associations that have not previously been reported. Migraine, obsessive-compulsive disorder, and seasonal allergies were associated with Parkinson's disease and tend to occur decades before the typical age of diagnosis for Parkinson's disease. The phenotypes that currently comprise the Parkinson's disease phenome have mostly been explored in relatively small purpose-built studies. Using a single large dataset, we have successfully reproduced many of these established associations and have extended the Parkinson's disease phenome by discovering novel associations. Our work paves the way for studies of these associated phenotypes that explore shared molecular mechanisms with Parkinson's disease, infer causal relationships, and improve our ability to identify individuals at high-risk of Parkinson's disease.

Identifiers

PMID30937360
PMCPMC6437217
OpenAlexW2923128455

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.