Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of potential pathogenic genes for urolithiasis through multi-omics Mendelian randomization analysis.

Urolithiasis - 16 Dec 2024

Yan Kun, Li Caogang, Chen Bohong, Tao Yifang, Zhang Dong, Zhang Peng

Abstract excerpt

Urolithiasis, a common urological disorder affecting about 10% of the global population, is known for its high recurrence rate, yet its genetic mechanisms remain poorly understood. This study aimed to fill this gap by identifying potential pathogenic genes associated with urolithiasis using a multi-omics Mendelian randomization approach. We conducted a comprehensive analysis that integrated genome-wide...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bayes Theorem
Share to DNA Methylation
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Mendelian Randomization Analysis

Share to Multiomics

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Urolithiasis

Source

Identifiers

PMID: 39680155
DOI: 10.1007/s00240-024-01675-z

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 18 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of potential pathogenic genes for urolithiasis through multi-omics Mendelian randomization analysis.PMID 39680155Read ↗

Genetic susceptibility of urolithiasis: comprehensive results from genome-wide analysis.Semantic proximity Read ↗

Multi-omics Mendelian randomization integrating GWAS, eQTL, mQTL and pQTL data prioritizes mitochondrial gene FXN as a hypothesis-generating candidate for nephrolithiasis.Semantic proximity Read ↗

Novel Risk Loci Identified in a Genome-Wide Association Study of Urolithiasis in a Japanese PopulationSemantic proximity Read ↗

Insights into risk factors for urolithiasis: a mendelian randomization study.Semantic proximity Read ↗

Genetic Risk Factors for Idiopathic Urolithiasis: A Systematic Review of the Literature and Causal Network Analysis.Semantic proximity Read ↗

Integrated multi-omics analyses reveal causal insights into the molecular landscape of urologic cancersSemantic proximity Read ↗

Unveiling novel susceptibility genes for kidney stone disease by a cross-tissue transcriptome-wide association study.Semantic proximity Read ↗

Integrative multi-layer genetic analysis identifies novel susceptibility genes for urolithiasis.Semantic proximity Read ↗

Genetic evidence for potential causal associations between gut microbiota and site-specific urolithiasis risk: a two-sample mendelian randomization study.Semantic proximity Read ↗

Causal effects of obesity on urolithiasis and the mediating role of inflammatory factors: A two-sample Mendelian randomization study.Semantic proximity Read ↗

Effects of multiple fluid intake on Urolithiasis by mendelian randomization study.Semantic proximity Read ↗

GWAS identifies nine nephrolithiasis susceptibility loci related with metabolic metabolic and crystallization pathwaysSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.