Henrik Jensen

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.

This study evaluates genomic prediction accuracy across wild house sparrow populations and finds lower accuracy compared to within-population predictions.

This study identifies the genetic architecture of recombination rates in wild house sparrows, showing they are polygenic and differ between sexes with distinct heritability and genetic correlations.

This study develops a high-density SNP array for reindeer and finds that small, isolated populations show rapid genetic variation loss and increased inbreeding, threatening their viability.

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.

The paper compares genomic consequences of reintroduction and natural recolonisation in Svalbard reindeer, finding natural recolonisation leads to greater genetic issues than reintroduction.

The paper finds that inbred house sparrows have shorter telomeres in early life, with some evidence of stronger effects in males.