I. Misztal

Estimation of heritabilities and genetic correlations by time slices using predictivity in large genomic models

The paper develops formulas to estimate heritabilities and genetic correlations in large genomic models using predictivity, validated with real and simulated data.

Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populations

This paper introduces an algorithm to approximate p-values for single-step GWAS in large populations, reducing computational costs while maintaining detection power.

Using large-scale whole-genome sequence data for single-step genomic predictions in maternal and terminal pig lines

This study evaluates the impact of using whole-genome sequence data for genomic predictions in pig lines, finding modest improvements in accuracy for maternal lines but mixed results for terminal lines.

Dimensionality of genomic information and its impact on GWA and variant selection: a simulation study

This study simulates GWA and variant selection to determine optimal sample sizes and variant inclusion strategies based on genomic dimensionality and effective population size.

SNP profile for quantitative trait nucleotide in populations with small effective size and its impact on mapping and genomic predictions

The paper investigates SNP profiles around QTN in small Ne populations and shows how these profiles affect genomic prediction accuracy and QTN detection.

Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?

This study investigates whether using the APY algorithm with truncated pedigree and phenotypes reduces computational costs in ssGREML for variance component estimation, finding that it slightly decreases ordering and symbolic factorization time without affecting estimates.

Detecting effective starting point of genomic selection by divergent trends from BLUP and ssGBLUP in pigs, beef cattle, and broilers

This study identifies the effective start of genomic selection in pigs, beef cattle, and broilers by analyzing divergence between genetic and RMS trends from BLUP and ssGBLUP.

Exact p-values for large-scale single step genome-wide association, with an application for birth weight in American Angus

The paper implements exact p-values for GWAS within the SSGBLUP framework, demonstrating its efficiency and application to a large beef cattle dataset.

Metafounders are Fst fixation indices and reduce bias in single step genomic evaluations

This paper introduces metafounders as pseudo-individuals to reduce bias in genomic evaluations by incorporating ancestral relationships estimated from marker genotypes and pedigrees.