Fabio Morgante

This study introduces PGSa,d, a polygenic scoring framework that incorporates both additive and dominance effects, showing improved accuracy for traits with significant dominance contributions.

The paper evaluates gene-environment interactions in blood pressure traits across diverse populations and finds they explain additional variance, though they do not improve prediction accuracy.

This paper introduces FGMB, a multi-context regulome-wide association atlas, and applies it to Alzheimer's disease to identify 327 regulatory associations and resolve 86 gene-molecular-trait pairs.

The paper identifies diet-dependent genetic loci affecting development time in Drosophila using outbred populations and phenotyping.

This study investigates when gene-environment interactions improve complex trait prediction by analyzing Drosophila lifespan data across different cross-validation scenarios.

This study investigates how genetic variation affects phenotypic responses to diet and aging in Drosophila melanogaster, finding significant genotype-by-diet and genotype-by-age interactions.

The paper compares statistical learning methods for predicting complex traits from gene expression in Drosophila, finding method-specific accuracy differences and improved performance with functional annotations.

This paper introduces mr.mash-rss, a method for polygenic prediction using GWAS summary statistics, showing improved accuracy over existing methods in various scenarios.

This paper improves polygenic prediction of blood pressure traits by incorporating lifestyle variables and their interactions with genetic data, reducing bias and increasing accuracy.

The paper introduces a flexible empirical Bayes method for multivariate multiple regression to improve prediction of multi-tissue gene expression from genotypes.

This study predicts Drosophila complex traits using genotypes, gene expression, and gene ontology, finding that expression and GO terms improve accuracy, especially when sample sizes are small.

The paper maps expression quantitative trait loci and constructs sex-specific regulatory networks in Drosophila to understand how genetic variation affects gene expression and transposable element activity.