Bjarni Jóhann Vilhjálmsson

The paper decomposes multitrait genetic associations to identify pleiotropy profiles linking SNPs to biological pathways and drug targets.

The paper presents best practices and efficient implementations for PCA of genetic data to address issues like LD structure capture, shrinkage bias, and population structure confounding.

The paper analyzes introgression and selection patterns in symbiosis genes within Rhizobium leguminosarum isolates, finding limited introgression confined to plasmids and chromosomal islands.

JASS is a Python package that enables joint analysis of GWAS summary statistics to detect new genetic variants, with a web interface and efficient algorithms for large-scale analysis.

The paper improves polygenic score prediction by optimizing multiple hyperparameters in Clumping and Thresholding and introduces Stacked Clumping and Thresholding (SCT) for better performance.

PhenoSpD estimates phenotypic correlations and corrects multiple testing using GWAS summary statistics, reducing dimensionality for complex traits.

The paper shows that non-transmitted parental alleles affect a child's traits through their impact on parents and relatives, termed genetic nurture, with significant effects on educational attainment and other traits.