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

Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.

Nature biomedical engineering - 1 Sept 2026

Shu Juan, Zheng Rong, Chirinos Julio, Copana Carlos, Li Bingxuan, Fan Zirui, Yang Xiaochen, Yang Yilin, Wang Xiyao, Li Yujue, Xi Bowei, Li Tengfei, Zhu Hongtu, Zhao Bingxin

Abstract excerpt

Understanding the complex relationships among major clinical outcomes and the interplay among multiple organs remains a considerable challenge. By using imaging phenotypes, we can characterize the functional and structural architecture of major human organs. Mendelian randomization (MR) provides a valuable framework for uncovering robust relationships between phenotypes by leveraging genetic variants as...

Read the complete abstract on PubMed

Topics

Humans
Mendelian Randomization Analysis
Phenotype
Brain
Polymorphism, Single Nucleotide

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

Genetic Variation

Organ Specificity

Genetic Predisposition to Disease

Magnetic Resonance Imaging

Alzheimer Disease

Source

Open in PubMed Open full text

Identifiers

PMID: 41258051
DOI: 10.1038/s41551-025-01554-x
PMCID: PMC13166049

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 25 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

Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.PMID 41258051Read ↗

Inferring Multi-Organ Genetic Causal Connections using Imaging and Clinical Data through Mendelian RandomizationSemantic proximity Read ↗

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

Multi-organ network of cardiometabolic disease-depression multimorbidity revealed by phenotypic and genetic analyses of MR images.Semantic proximity Read ↗

The genetic architecture of biological age in nine human organ systems.Semantic proximity Read ↗

Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and geneticsSemantic proximity Read ↗

Brain-heart-eye axis revealed by multi-organ imaging genetics and proteomics.Semantic proximity Read ↗

Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning.Semantic proximity Read ↗

Multi-organ imaging-derived polygenic indexes for brain and body healthSemantic proximity Read ↗

Scaling genetic discovery for organ volumes using machine learning-assisted imputation and bias-corrected GWASSemantic proximity Read ↗

MUTATE: A Human Genetic Atlas of Multi-organ AI Endophenotypes using GWAS Summary StatisticsSemantic proximity Read ↗

Genetic architecture of 11 abdominal organ traits derived from abdominal MRI using deep learningSemantic proximity Read ↗

An augmented Mendelian randomization approach provides causality of brain imaging features on complex traits in a single biobank-scale dataset.Semantic proximity Read ↗

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