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

Mapping eQTLs in the Norfolk Island genetic isolate identifies candidate genes for CVD risk traits.

American journal of human genetics - 5 Dec 2013

Benton Miles C, Lea Rod A, Macartney-Coxson Donia, Carless Melanie A, Göring Harald H, Bellis Claire, Hanna Michelle, Eccles David, Chambers Geoffrey K, Curran Joanne E, Harper Jacquie L, Blangero John, Griffiths Lyn R

Abstract excerpt

Cardiovascular disease (CVD) affects millions of people worldwide and is influenced by numerous factors, including lifestyle and genetics. Expression quantitative trait loci (eQTLs) influence gene expression and are good candidates for CVD risk. Founder-effect pedigrees can provide additional pow...

Read the complete abstract on PubMed

Topics

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

Share to Cardiovascular Diseases
Share to Chromosome Mapping

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression

Share to Melanesia

Share to Protein Interaction Maps

Share to Quantitative Trait, Heritable

Share to Quantitative Trait Loci

Share to Transcription, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 24314549
DOI: 10.1016/j.ajhg.2013.11.004
PMCID: PMC3853002

Genes

MTHFR
NAAA
NME1
PAPSS1
PRDX1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-24314549-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mapping eQTLs in the Norfolk Island genetic isolate identifies candidate genes for CVD risk traits.PMID 24314549Read ↗

Linkage mapping of CVD risk traits in the isolated Norfolk Island population.Semantic proximity Read ↗

Integromic analysis of genetic variation and gene expression identifies networks for cardiovascular disease phenotypes.Semantic proximity Read ↗

Systems Genetics in Human Endothelial Cells Identifies Non-coding Variants Modifying Enhancers, Expression, and Complex Disease Traits.Semantic proximity Read ↗

Whole Genome DNA and RNA Sequencing of Whole Blood Elucidates the Genetic Architecture of Gene Expression Underlying a Wide Range of DiseasesSemantic proximity Read ↗

Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases.Semantic proximity Read ↗

High-resolution regulatory maps connect cardiovascular risk variants to disease related pathwaysSemantic proximity Read ↗

Next steps in cardiovascular disease genomic research--sequencing, epigenetics, and transcriptomics.Semantic proximity Read ↗

Whole Genome DNA and RNA Sequencing of Whole Blood Elucidates the Genetic Architecture of Gene Expression Underlying a Wide Range of DiseasesSemantic proximity Read ↗

A Phenomic Scan of the Norfolk Island Genetic Isolate Identifies a Major Pleiotropic Effect Locus Associated with Metabolic and Renal Disorder Markers.Semantic proximity Read ↗

Investigating variant and expression of CVD genes associated phenotypes among high-risk Heart Failure patientsSemantic proximity Read ↗

Genomic Exploration of Essential Hypertension in African-Brazilian Quilombo Populations: A Comprehensive Approach with Pedigree Analysis and Family-Based Association StudiesSemantic proximity Read ↗

Discovery of target genes and pathways of blood trait loci using pooled CRISPR screens and single cell RNA sequencingSemantic proximity Read ↗

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