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

Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs.

Genetics and molecular research : GMR - 13 May 2016

Teixeira F R F, Nascimento M, Nascimento A C C, E Silva F F, Cruz C D, Azevedo C F, Paixão D M, Barroso L M A, Verardo L L, de Resende M D V, Guimarães S E F, Lopes P S

Abstract excerpt

The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four...

Read the complete abstract on PubMed

Topics

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

Share to Bayes Theorem
Share to Brazil

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Factor Analysis, Statistical

Share to Forecasting

Share to Genomics

Share to Multivariate Analysis

Share to Quantitative Trait, Heritable

Source

Identifiers

PMID: 27323029
DOI: 10.4238/gmr.15028231

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

Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs.PMID 27323029Read ↗

Comparison of three statistical approaches for feature selection for fine-scale genetic population assignment in four pig breeds.Semantic proximity Read ↗

SNP annotation-based whole genomic prediction and selection: an application to feed efficiency and its component traits in pigs.Semantic proximity Read ↗

Accelerated discovery of functional genomic variation in pigs.Semantic proximity Read ↗

The effect of high-density genotypic data and different methods on joint genomic prediction: A case study in large white pigs.Semantic proximity Read ↗

Predictive ability of multi-population genomic prediction methods of phenotypes for reproduction traits in Chinese and Austrian pigs.Semantic proximity Read ↗

Including dominance effects in the prediction model through locus-specific weights on heterozygous genotypes can greatly improve genomic predictive abilities.Semantic proximity Read ↗

Bayes factor analyses of heritability for serum and muscle lipid traits in Duroc pigs.Semantic proximity Read ↗

Insights Into the Architecture of Human-induced Polygenic Selection in Duroc PigsSemantic proximity Read ↗

Accounting for genetic architecture in single- and multipopulation genomic prediction using weights from genomewide association studies in pigs.Semantic proximity Read ↗

Genome-wide prediction using Bayesian additive regression trees.Semantic proximity Read ↗

Genome-enabled methods for predicting litter size in pigs: a comparison.Semantic proximity Read ↗

Single-Step Genomic Evaluation for Meat Quality Traits, Sensory Characteristics, and Fatty-Acid Composition in Duroc Pigs.Semantic proximity Read ↗

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