Mikko J. Sillanpää

The paper proposes using principal component analysis to improve computational efficiency in multi-trait genetic evaluations, achieving faster results with comparable accuracy.

This paper introduces FiniMOM, a Bayesian fine-mapping method that improves detection of multiple causal variants using non-local priors and summary data from GWAS.

The paper introduces a method to estimate trait-specific co-expression networks by integrating parametric interaction models with co-expression networks, demonstrating its application in acute myeloid leukemia.

The paper identifies 51 significant SNPs from 39 candidate genes associated with wood formation traits in Norway spruce using genome-wide association mapping.

The paper identifies QTL associated with adaptive traits in Scots pine using a three-generation pedigree, finding 62 significant QTL with variance explained up to 18.9%.