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

A multi-tissue mendelian randomization method based on eQTL data for mapping tissue-specific disease genes.

BMC bioinformatics - 19 May 2026

Wang Shuaiyi, Xu Mengni, Tang Yuxin, Wang Kaixuan, Wen Jinbao, Cheng Yu, Yan Fangrong, Liu Tiantian

Abstract excerpt

Tissue-specific gene expression is critical in complex disease etiology, but traditional transcriptome-wide Mendelian Randomization (TWMR) often overlooks tissue heterogeneity and is constrained by limited valid instrumental variables (IVs) per tissue. We propose Multi-Tissue TWMR (MT-TWMR), which selects cis-eQTLs with consistent effects across tissues as IVs and estimates tissue-specific causal effects via a...

Read the complete abstract on PubMed

Topics

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

Share to Gene Expression Profiling
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Hypertension

Share to Major Depressive Disorder

Share to Mendelian Randomization Analysis

Share to Organ Specificity

Share to Quantitative Trait Loci

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 42157043
DOI: 10.1186/s12859-026-06451-x
PMCID: PMC13359409

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A multi-tissue mendelian randomization method based on eQTL data for mapping tissue-specific disease genes.PMID 42157043Read ↗

Multi-tissue integrated Mendelian randomization method identifies disease risk genes.Semantic proximity Read ↗

An integrative multi-context Mendelian randomization method for identifying risk genes across human tissues.Semantic proximity Read ↗

An integrative multi-context Mendelian randomization method for identifying risk genes across human tissuesSemantic proximity Read ↗

A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome.Semantic proximity Read ↗

A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenomeSemantic proximity Read ↗

The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samplesSemantic proximity Read ↗

The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samplesSemantic proximity Read ↗

The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samplesSemantic proximity Read ↗

Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids.Semantic proximity Read ↗

Fine-mapping causal tissues and genes at disease-associated lociSemantic proximity Read ↗

A robust two-sample Mendelian Randomization method integrating GWAS with multi-tissue eQTL summary statisticsSemantic proximity Read ↗

Modeling tissue co-regulation to estimate tissue-specific contributions to diseaseSemantic proximity Read ↗

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