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

Impact of linkage disequilibrium heterogeneity along the genome on genomic prediction and heritability estimation.

Genetics, selection, evolution : GSE - 27 Jun 2022

Ren Duanyang, Cai Xiaodian, Lin Qing, Ye Haoqiang, Teng Jinyan, Li Jiaqi, Ding Xiangdong, Zhang Zhe

Abstract excerpt

BACKGROUND: Compared to medium-density single nucleotide polymorphism (SNP) data, high-density SNP data contain abundant genetic variants and provide more information for the genetic evaluation of livestock, but it has been shown that they do not confer any advantage for genomic prediction and heritability estimation. One possible reason is the uneven distribution of the linkage disequilibrium (LD) along the...

Read the complete abstract on PubMed

Topics

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

Share to Cattle
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Genotype

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 35761182
DOI: 10.1186/s12711-022-00737-3
PMCID: PMC9235212

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Impact of linkage disequilibrium heterogeneity along the genome on genomic prediction and heritability estimation.PMID 35761182Read ↗

Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins.Semantic proximity Read ↗

Opportunities and computational challenges in large-scale whole-genome sequencing data analysis.Semantic proximity Read ↗

Accuracy of genomic prediction using low-density marker panels.Semantic proximity Read ↗

Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations.Semantic proximity Read ↗

Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study.Semantic proximity Read ↗

Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels.Semantic proximity Read ↗

Marker selection and genomic prediction of economically important traits using imputed high-density genotypes for 5 breeds of dairy cattle.Semantic proximity Read ↗

Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.Semantic proximity Read ↗

Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle.Semantic proximity Read ↗

Utility of whole-genome sequence data for across-breed genomic prediction.Semantic proximity Read ↗

Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome.Semantic proximity Read ↗

Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships.Semantic proximity Read ↗

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