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

Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure.

Nature communications - 14 Sept 2018

de Leeuw Christiaan A, Stringer Sven, Dekkers Ilona A, Heskes Tom, Posthuma Danielle

Abstract excerpt

Gene-set analysis provides insight into which functional and biological properties of genes are aetiologically relevant for a particular phenotype. But genes have multiple properties, and these properties are often correlated across genes. This can cause confounding in a gene-set analysis, because one property may be statistically associated even if biologically irrelevant to the phenotype, by being correlated...

Read the complete abstract on PubMed

Topics

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

Share to Blood Pressure
Share to Computational Biology

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

Share to Computer Simulation

Share to Gene Regulatory Networks

Share to Homeostasis

Share to Models, Statistical

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 30218068
DOI: 10.1038/s41467-018-06022-6
PMCID: PMC6138636

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure.PMID 30218068Read ↗

Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk.Semantic proximity Read ↗

Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk.Semantic proximity Read ↗

Conditional transcriptome-wide association study for fine-mapping candidate causal genes.Semantic proximity Read ↗

A Bayesian network-based framework to uncover the causal effects of genes on complex traits based on GWAS dataSemantic proximity Read ↗

Identification of Circulating Proteins Associated With Blood Pressure.Semantic proximity Read ↗

A Bayesian network-based framework to uncover the causal effects of genes on complex traits based on GWAS dataSemantic proximity Read ↗

Integrative Genomics Analysis Unravels Tissue-Specific Pathways, Networks, and Key Regulators of Blood Pressure RegulationSemantic proximity Read ↗

Integrative network analysis reveals molecular mechanisms of blood pressure regulation.Semantic proximity Read ↗

Gene-based association study reveals a distinct female genetic signal in primary hypertension.Semantic proximity Read ↗

Meta-Analysis and Multivariate GWAS Analyses in 80,950 Individuals of African Ancestry Identify Novel Variants Associated with Blood Pressure Traits.Semantic proximity Read ↗

Novel Genes Affecting Blood Pressure Detected Via Gene-Based Association Analysis.Semantic proximity Read ↗

Genetic dissection of human blood pressure variation: common pathways from rare phenotypes.Semantic proximity Read ↗

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