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

Quantitative genetics model as the unifying model for defining genomic relationship and inbreeding coefficient.

PloS one - 1 Jan 2014

Wang Chunkao, Da Yang

Abstract excerpt

The traditional quantitative genetics model was used as the unifying approach to derive six existing and new definitions of genomic additive and dominance relationships. The theoretical differences of these definitions were in the assumptions of equal SNP effects (equivalent to across-SNP standar...

Read the complete abstract on PubMed

Topics

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

Share to Cattle
Share to Genomics
Share to Inbreeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 25517971
DOI: 10.1371/journal.pone.0114484
PMCID: PMC4269408

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-25517971-2026-09-04.2. 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

Quantitative genetics model as the unifying model for defining genomic relationship and inbreeding coefficient.PMID 25517971Read ↗

Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers.Semantic proximity Read ↗

Mixed model methods for genomic prediction and variance component estimation of additive and dominance effects using SNP markers.Semantic proximity Read ↗

The value of genomic relationship matrices to estimate levels of inbreeding.Semantic proximity Read ↗

Genomic inbreeding and relationships among Holsteins, Jerseys, and Brown Swiss.Semantic proximity Read ↗

Assessment of relationships between pigs based on pedigree and genomic information.Semantic proximity Read ↗

Genomic Model with Correlation Between Additive and Dominance Effects.Semantic proximity Read ↗

Mating programs including genomic relationships and dominance effects.Semantic proximity Read ↗

On the additive and dominant variance and covariance of individuals within the genomic selection scope.Semantic proximity Read ↗

Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information.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 ↗

Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices.Semantic proximity Read ↗

Integrating Nonadditive Genomic Relationship Matrices into the Study of Genetic Architecture of Complex Traits.Semantic proximity Read ↗

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