Evidence map›Paper›PMID 38263313›Full record

ArticleNPJ Parkinson's disease2024

Discovering genetic mechanisms underlying the co-occurrence of Parkinson's disease and non-motor traits.

Sreemol Gokuladhas, Tayaza Fadason, Sophie Farrow, Antony Cooper, Justin M O'Sullivan

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
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

5 authors at 3 institutions in 4 countries.

Sreemol GokuladhasThe Liggins Institute, University of Auckland, Auckland, 1023, New Zealand.ORCID http://orcid.org/0000-0002-1685-0259
Tayaza FadasonThe Liggins Institute, University of Auckland, Auckland, 1023, New Zealand.
Sophie FarrowThe Liggins Institute, University of Auckland, Auckland, 1023, New Zealand.ORCID http://orcid.org/0000-0002-6578-4219
Antony CooperSt Vincent's Clinical School, UNSW Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-6027-2353
Justin M O'SullivanThe Liggins Institute, University of Auckland, Auckland, 1023, New Zealand. justin.osullivan@auckland.ac.nz.ORCID http://orcid.org/0000-0003-2927-450X
University of Auckland · NZAgency for Science, Technology and Research · SGGarvan Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the biological mechanisms that underlie the non-motor symptoms of Parkinson's disease (PD) requires comprehensive frameworks that unravel the complex interplay of genetic risk factors. Here, we used a disease-agnostic brain cortex gene regulatory network integrated with Mendelian Randomization analyses that identified 19 genes whose changes in expression were causally linked to PD. We further used the network to identify genes that are regulated by PD-associated genome-wide association study (GWAS) SNPs. Extended protein interaction networks derived from PD-risk genes and PD-associated SNPs identified convergent impacts on biological pathways and phenotypes, connecting PD with established co-occurring traits, including non-motor symptoms. These findings hold promise for therapeutic development. In conclusion, while distinct sets of genes likely influence PD risk and outcomes, the existence of genes in common and intersecting pathways associated with other traits suggests that they may contribute to both increased PD risk and symptom heterogeneity observed in people with Parkinson's.

Identifiers

PMID38263313
PMCPMC10805842
OpenAlexW4391140461

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.