H. Jensen

Bayesian marker-based principal component ridgeregression - a flexible multipurpose framework forquantitative genetics in wild study systems

This paper introduces a Bayesian marker-based principal component ridge regression framework for estimating quantitative genetic parameters in wild study systems, showing efficient estimation of additive genetic variance and accurate breeding value prediction.

Disentangling the age-dependent causal pathways affecting multiple paternity in house sparrows

This study uses Bayesian multi-level path analysis to disentangle age-dependent causal pathways affecting multiple paternity in house sparrows, finding age influences differ between males and females.

FibrilPaint to determine the length of Tau amyloids in fluids

FibrilPaint1 measures Tau amyloid fibril length in fluids using fluorescence and microfluidics, enabling diagnostic and research applications in neurodegenerative diseases.

DNA methylation regulates sex-biased gene expression in the house sparrow

This study shows DNA methylation regulates sex-biased gene expression in house sparrows, with significant effects in gonads and at transcription start sites.

Genomic estimation of quantitative genetic parameters in wild admixed populations

The paper introduces a genomic method to estimate quantitative genetic parameters in wild admixed populations without pedigrees, showing it works well in house sparrows.

Animal models with group-specific additive genetic variances: extending genetic group models

This paper extends genetic group models in animal models to estimate group-specific additive genetic variances, showing segregation variances are negligible in empirical examples.