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

Harnessing tissue-specific genetic variation to dissect putative causal pathways between body mass index and cardiometabolic phenotypes.

American journal of human genetics - 3 Feb 2022

Leyden Genevieve M, Shapland Chin Yang, Davey Smith George, Sanderson Eleanor, Greenwood Michael P, Murphy David, Richardson Tom G

Abstract excerpt

Body mass index (BMI) is a complex disease risk factor known to be influenced by genes acting via both metabolic pathways and appetite regulation. In this study, we aimed to gain insight into the phenotypic consequences of BMI-associated genetic variants, which may be mediated by their expression in different tissues. First, we harnessed meta-analyzed gene expression datasets derived from subcutaneous adipose (n...

Read the complete abstract on PubMed

Topics

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

Share to Adipose Tissue
Share to Cell Adhesion Molecules, Neuronal

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Coronary Artery Disease

Share to GPI-Linked Proteins

Share to Metabolic Networks and Pathways

Share to Stroke Volume

Share to T-Box Domain Proteins

Share to Waist-Hip Ratio

Source

Open in PubMed Open full text

Identifiers

PMID: 35090585
DOI: 10.1016/j.ajhg.2021.12.013
PMCID: PMC8874216

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Harnessing tissue-specific genetic variation to dissect putative causal pathways between body mass index and cardiometabolic phenotypes.PMID 35090585Read ↗

Genetic studies of body mass index yield new insights for obesity biology.Semantic proximity Read ↗

Gene-centric meta-analyses of 108 912 individuals confirm known body mass index loci and reveal three novel signals.Semantic proximity Read ↗

New genetic loci link adipose and insulin biology to body fat distribution.Semantic proximity Read ↗

Genetic studies of body mass index yield new insights for obesity biologySemantic proximity Read ↗

Integrating genetic and transcriptomic data to identify genes underlying obesity risk loci.Semantic proximity Read ↗

Adiposity-Dependent Regulatory Effects on Multi-tissue Transcriptomes.Semantic proximity Read ↗

Genomics and phenomics of body mass index reveals a complex disease network.Semantic proximity Read ↗

Leveraging eQTLs to identify individual-level tissue of interest for a complex trait.Semantic proximity Read ↗

Recent Advances in Human Genetics and Epigenetics of Adiposity: Pathway to Precision Medicine?Semantic proximity Read ↗

Disentangling the aetiological pathways between body mass index and site-specific cancer risk using tissue-partitioned Mendelian randomisation.Semantic proximity Read ↗

Integrative functional genomics and fine-mapping identify regulatory mechanisms of multivariate obesity GWAS and its cardiometabolic implications.Semantic proximity Read ↗

The contribution of tissue-grouped BMI-associated gene sets to cardiometabolic-disease risk: a Mendelian randomization study.Semantic proximity Read ↗

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