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

An approximate Bayesian significance test for genomic evaluations.

Biometrical journal. Biometrische Zeitschrift - 1 Nov 2018

Wittenburg Dörte, Liebscher Volkmar

Abstract excerpt

Genomic information can be used to study the genetic architecture of some trait. Not only the size of the genetic effect captured by molecular markers and their position on the genome but also the mode of inheritance, which might be additive or dominant, and the presence of interactions are interesting parameters. When searching for interacting loci, estimating the effect size and determining the significant...

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 Biometry
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 30101421
DOI: 10.1002/bimj.201700219
PMCID: PMC6282823

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An approximate Bayesian significance test for genomic evaluations.PMID 30101421Read ↗

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.Semantic proximity Read ↗

Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle.Semantic proximity Read ↗

Application of Bayesian genomic prediction methods to genome-wide association analyses.Semantic proximity Read ↗

Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers.Semantic proximity Read ↗

Bayesian genome-wide analysis of cattle traits using variants with functional and evolutionary significanceSemantic proximity Read ↗

Improving accuracy of genomic prediction by genetic architecture based priors in a Bayesian model.Semantic proximity Read ↗

Bayes factors for genome-wide association studies: comparison with P-values.Semantic proximity Read ↗

A nested mixture model for genomic prediction using whole-genome SNP genotypes.Semantic proximity Read ↗

Methods for joint genetic prediction of multiple ordinal categorical and continuous traits.Semantic proximity Read ↗

Bayesian statistical methods for genetic association studies.Semantic proximity Read ↗

hibayes: An R Package to Fit Individual-Level, Summary-Level and Single-Step Bayesian Regression Models for Genomic Prediction and Genome-Wide Association StudiesSemantic proximity Read ↗

Genome-wide identification and annotation of SNPs and their mapping in candidate genes related to milk production and fertility traits in Badri cattle.Semantic proximity Read ↗

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