Sam Clark

This study investigates whether oral microbiome profiles can serve as a non-invasive proxy for estimating methane emissions in grazing cattle, finding that microbial function explains a meaningful proportion of methane variation.

This study evaluates the balance between power and false positive rate in genome-wide association studies using Bonferroni and Benjamini-Hochberg methods, showing their performance varies with marker correlation and experimental design.

This study evaluates bias and accuracy in genomic breeding value prediction under selection scenarios using different statistical models and finds that SSGBLUP with proper scaling reduces bias and improves accuracy.

The paper develops a theoretical framework to estimate genomic prediction accuracy using reference populations with varying relationships to the target, showing that close relatives significantly improve accuracy.