Skip to content
Open access

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

Sep 2026 · Nature Communications · 0 citations

TL;DR

Genome-wide genetic correlations with Parkinson’s are modest, with only a significant correlation with urinary potassium-to-creatinine ratio significant, yet shared loci are identified across 9 of 15 trait pairs, providing evidence for shared genomic loci between Parkinson’s disease and kidney function.

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.

Read PDF

Similar papers

Open access Sep 2026

Shared genetic architecture of smoking dependence and Crohn's disease: A cross-trait analysis of GWAS summary statistics

SD and CD showed measurable shared genetic susceptibility, with convergent evidence from pleiotropic loci, immune-inflammatory pathway enrichment, tissue-level associations, and spatial transcriptomic mapping.

Ao-Cheng Ji, Wen-Bin Xu, Hao Xiong et al. · 0 citations
Open access Aug 2026

MOCR-DB: The Multi-Omics Causal Resource Database for Genetic Correlation, Causal Inference, and Functional Interpretation

The Multi-Omics Causal Resource Database (MOCR-DB) is an interactive platform that integrates large-scale GWAS summary statistics from UK Biobank, FinnGen, and the COVID-19 Host Genetics Initiative with molecular quantitative trait locus (QTL) datasets to provide a unified framework for genetic correlation, causal infe...

Hong-Wei Chen, Bing-Jie Fan, Huiyu Chen et al. · 0 citations
Aug 2026

Prioritizing Parkinson's disease risk-associated mitochondrial candidate genes via multi-omics integrative analysis.

BACKGROUND Mitochondrial dysfunction has been implicated in Parkinson's disease (PD), but the genetically regulated mitochondrial genes associated with PD risk remain incompletely defined. METHODS We conducted a summary-data-based genetic epidemiology study integrating summary-based Mendelian randomization (SMR), Het...

Yu-Sheng Zhu, Zihan Ye · 0 citations
Open access Sep 2026

Analysis of east Asian Parkinson's disease Genomes Identifies Novel Susceptibility Loci and Functional Regulatory Variation

Background: Parkinson disease (PD) is a genetically complex neurodegenerative disorder, but most genetic discoveries have been derived from populations of European ancestry, limiting the understanding of ancestry-specific genetic risk. Methods: This GWAS included 5,825 East Asian participants (3,043 patients with PD an...

Q. Sun, E. Ng, T. S. Toh et al. · 0 citations
Open access Aug 2026

Integrative cross-tissue transcriptome-wide association and metabolomic analysis reveals novel genetic risk loci for aortic aneurysm

An integrated cross-omics analysis identifies novel genetic loci and, crucially, uncovers specific nutrient-related metabolic pathways that mediate genetic risk in Aortic aneurysm and its subtypes.

Han-Xi Wang, Junjie Cheng, Jia-Li Yao et al. · 0 citations
Open access Sep 2026

Stratifying Alzheimer’s disease by patient-specific genetic signatures reveals cognition-linked and cross-disease heterogeneity

A heteroscedastic personalized regression framework is introduced to move beyond cohort-averaged associations and construct individualized single-nucleotide polymorphism (SNP) profiles for each subject, showing that model-derived individualized SNP-score profiles can reveal latent structure associated with cognitive an...

Jia-Hui Zhang, Zi-Yu Yu, Xing-Cai Zhang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.