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

A new method to infer causal phenotype networks using QTL and phenotypic information.

PloS one - 1 Jan 2014

Wang Huange, van Eeuwijk Fred A

Abstract excerpt

In the context of genetics and breeding research on multiple phenotypic traits, reconstructing the directional or causal structure between phenotypic traits is a prerequisite for quantifying the effects of genetic interventions on the traits. Current approaches mainly exploit the genetic effects at quantitative trait loci (QTLs) to learn about causal relationships among phenotypic traits. A requirement for using...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Phenotype
Share to Quantitative Trait Loci

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

Source

Open in PubMed Open full text

Identifiers

PMID: 25144184
DOI: 10.1371/journal.pone.0103997
PMCID: PMC4140682

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 · 11 closest

A new method to infer causal phenotype networks using QTL and phenotypic information.PMID 25144184Read ↗

Inferring causal phenotype networks from segregating populations.Semantic proximity Read ↗

Genotype-phenotype modeling considering intermediate level of biological variation: a case study involving sensory traits, metabolites and QTLs in ripe tomatoes.Semantic proximity Read ↗

Disentangling direct and pleiotropic SNP effects in alfalfa (Medicago sativa L.) using causal graph learning.Semantic proximity Read ↗

An efficient approach to large-scale genotype-phenotype association analyses.Semantic proximity Read ↗

Building phenotype networks to improve QTL detection: a comparative analysis of fatty acid and fat traits in pigs.Semantic proximity Read ↗

Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine.Semantic proximity Read ↗

Reconstruction of Networks with Direct and Indirect Genetic Effects.Semantic proximity Read ↗

eQED: an efficient method for interpreting eQTL associations using protein networks.Semantic proximity Read ↗

Searching for recursive causal structures in multivariate quantitative genetics mixed models.Semantic proximity Read ↗

Effects of causal networks on the structure and stability of resource allocation trait correlations.Semantic proximity Read ↗

Gene-to-trait knowledge graphs show association of plant photoreceptors with physiological and developmental processes that can confer agronomic benefitsSemantic proximity Read ↗

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