Evidence map›Paper›PMID 42901928›Full record

ArticleNature communications2026

Genome-wide cross-trait analysis to compare genetic architecture between Parkinson's disease and kidney-related traits.

Le Chang, Sadaf Gawhary, Lyza Maameri, Wiame Belbellaj, Frida Lona-Durazo, Sarah A Gagliano Taliun

Abstract readComparative Study
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Le Chang *Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.ORCID 0000-0002-0966-7923
Sadaf Gawhary *Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.
Lyza MaameriResearch Centre, Montréal Heart Institute, Montréal, QC, Canada.
Wiame BelbellajFaculty of Medicine, Université de Montréal, Montréal, QC, Canada.
Frida Lona-DurazoFaculty of Medicine, Université de Montréal, Montréal, QC, Canada.ORCID 0000-0003-2585-5710
Sarah A Gagliano TaliunResearch Centre, Montréal Heart Institute, Montréal, QC, Canada. sarah.gagliano-taliun@umontreal.ca.ORCID 0000-0003-1306-1868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies link kidney function to Parkinson's disease risk, but the genetic basis of this relationship remains unclear. Here, we leverage genome-wide association data for Parkinson's disease and five UK Biobank-derived kidney-related traits in individuals of European ancestry, combining genetic correlation, pleiotropy mapping, colocalization and enrichment across sex-combined and sex-stratified analyses. Genome-wide genetic correlations with Parkinson's are modest, with only a significant correlation with urinary potassium-to-creatinine ratio significant, yet we identify shared loci across 9 of 15 trait pairs. Resolving these loci, the two traits are more often driven by different causal variants within a shared region than by the same variant. Four loci carry a shared causal variant, implicating BIN3, MSRA and TNK2 in protein quality control. These findings provide evidence for shared genomic loci between Parkinson's disease and kidney function, offering specific loci and biological pathways for future investigation of the kidney-brain axis in neurodegeneration.

Indexed as

KidneyParkinson DiseaseFemaleGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotidePotassiumQuantitative Trait LociUK BiobankPotassium

Identifiers

PMID42901928
PMCPMC13683393

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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.