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

Prior knowledge guided eQTL mapping for identifying candidate genes.

BMC bioinformatics - 13 Dec 2016

Wang Yunli, Richard Rene, Pan Youlian

Abstract excerpt

BACKGROUND: Expression quantitative trait loci (eQTL) mapping is often used to identify genetic loci and candidate genes correlated with traits. Although usually a group of genes affect complex traits, genes in most eQTL mapping methods are considered as independent. Recently, some eQTL mapping methods have accounted for correlated genes, used biological prior knowledge and applied these in model species such as...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Gene Regulatory Networks
Share to Hordeum

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Saccharomyces cerevisiae

Source

Open in PubMed Open full text

Identifiers

PMID: 27964730
DOI: 10.1186/s12859-016-1387-9
PMCID: PMC5155383

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

Prior knowledge guided eQTL mapping for identifying candidate genes.PMID 27964730Read ↗

Genomic Prediction for Quantitative Traits Is Improved by Mapping Variants to Gene Ontology Categories in Drosophila melanogaster.Semantic proximity Read ↗

Improvement in genomic prediction of maize with prior gene ontology information depends on traits and environmental conditions.Semantic proximity Read ↗

A systems biology approach for identifying novel pathway regulators in eQTL mapping.Semantic proximity Read ↗

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learningSemantic proximity Read ↗

Learning a prior on regulatory potential from eQTL data.Semantic proximity Read ↗

Using stochastic causal trees to augment Bayesian networks for modeling eQTL datasets.Semantic proximity Read ↗

QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants.Semantic proximity Read ↗

Prioritizing candidate eQTL causal genes in Arabidopsis using RANDOM FORESTS.Semantic proximity Read ↗

Genome-wide association mapping in plants.Semantic proximity Read ↗

Genome-wide mediation analysis: an empirical study to connect phenotype with genotype via intermediate transcriptomic data in maize.Semantic proximity Read ↗

Connecting mathematical models to genomes: joint estimation of model parameters and genome-wide marker effects on these parameters.Semantic proximity Read ↗

Explaining the genetic basis of complex quantitative traits through prediction models.Semantic proximity Read ↗

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