Jérémie Vandenplas

Modeling missing parents in single-step test-day SNP-BLUP evaluation of dairy cattle

This study compares methods for handling missing parental information in genomic breeding value predictions for dairy cattle, finding that grouping missing parents as genetic groups is more robust for ungenotyped individuals in incomplete pedigrees.

Characterization of a novel heat tolerance trait and subsequent haplotype block-based analysis to identify causal regions in Dutch Holstein cattle

This paper quantifies heat stress impact on dairy cattle using a novel pipeline and identifies causal genomic regions associated with heat tolerance traits.

Trajectories of genetic correlations in populations under selection: from theory to a case-study

The paper investigates how multi-trait selection affects genetic correlations in populations, using theory and a case study on dairy cattle data.

Accelerated matrix-vector multiplications for matrices involving genotype covariates with applications in genomic prediction

The paper develops optimized matrix-vector multiplication methods for genomic prediction, improving computational efficiency on GPUs and CPUs for large datasets.

Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP - using real data from pigs

This study evaluates the impact of genomic preselection on accuracy and bias in ssGBLUP genetic evaluations using real pig data, finding minimal effects on accuracy and negligible bias.

Genomic prediction using individual-level data and summary statistics from multiple populations

This paper develops a method to integrate individual-level genomic data and summary statistics across populations to improve allele substitution effect estimates and genomic predictions.

Properties Of Genomic Relationships For Estimating Current Genetic Variances Within And Genetic Correlations Between Populations

This paper defines a multi-population genomic relationship matrix to estimate current genetic variances within populations and genetic correlations between populations, and validates its properties through simulations.