Norbert Reinsch

The paper introduces an improved method for scalar deregression of estimated breeding values by incorporating inbreeding coefficients and prediction error covariance matrices, resulting in unbiased deregressed values and reliable filtering of uninformative candidates.

PyMSQ provides a fast Python package for computing Mendelian sampling variance, covariance, and haplotype-based similarity in genomic selection, enhancing haplotype diversity management.

The paper introduces a similarity matrix to preserve haplotype diversity in genomic selection by quantifying parent similarity based on gamete covariance, showing improved genetic variability and gain.

This study characterizes the genomes of mouse lines selected for specific traits over 140 generations, revealing genetic variation and candidate genes associated with fertility, obesity, and endurance.

The paper introduces a generalized gametic relationship matrix to reduce computational complexity in parent-of-origin analyses by combining average and single gametic effects.