ArticleFrontiers in genetics2021
A Comprehensive Comparison of Haplotype-Based Single-Step Genomic Predictions in Livestock Populations With Different Genetic Diversity Levels: A Simulation Study.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- SNPs with High Linkage Disequilibrium Increase the Explained Genetic Variance and the Reliability of Genomic Predictions.Animals : an open access journal from MDPI · 2026Article
- Genotyping strategies for single-step genomic predictions in a simulated sheep population under different scenarios of pedigree error types.Frontiers in genetics · 2025Article
- Concurrently mapping quantitative trait loci associations from multiple subspecies within hybrid populations.Heredity · 2023Article
- SNP- and haplotype-based single-step genomic predictions for body weight, wool, and reproductive traits in North American Rambouillet sheep.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2023Article
- Impact of linkage disequilibrium heterogeneity along the genome on genomic prediction and heritability estimation.Genetics, selection, evolution : GSE · 2022Article
- Editorial: Beef on Dairy: The Use of a Simple Tool to Improve Both Cattle Production Systems.Frontiers in genetics · 2022Article
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7 authors.
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Abstract
The level of genetic diversity in a population is inversely proportional to the linkage disequilibrium (LD) between individual single nucleotide polymorphisms (SNPs) and quantitative trait loci (QTLs), leading to lower predictive ability of genomic breeding values (GEBVs) in high genetically diverse populations. Haplotype-based predictions could outperform individual SNP predictions by better capturing the LD between SNP and QTL. Therefore, we aimed to evaluate the accuracy and bias of individual-SNP- and haplotype-based genomic predictions under the single-step-genomic best linear unbiased prediction (ssGBLUP) approach in genetically diverse populations. We simulated purebred and composite sheep populations using literature parameters for moderate and low heritability traits. The haplotypes were created based on LD thresholds of 0.1, 0.3, and 0.6. Pseudo-SNPs from unique haplotype alleles were used to create the genomic relationship matrix (
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