Vincent Laville

This study uses live imaging to show that Duchenne Muscular Dystrophy mouse model MuSCs have impaired migration and premature differentiation due to altered signaling pathways, with intrinsic and extracellular factors influencing their behavior.

This study identifies PI3K/AKT signaling as an upstream regulator that enables ICM formation and specifies both epiblast and primitive endoderm lineages in mouse embryos.

The paper identifies distinct molecular and functional properties of extraocular muscle stem cells compared to limb muscle stem cells using scRNA-seq and other methods.

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

This paper develops a method to estimate stratified and marginal summary statistics from a joint gene-environment interaction model, demonstrating its accuracy through simulations and real data applications.

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 analyzes gene-environment interaction effects across multiple ancestries and traits, identifying population-specific genetic mechanisms and methodological biases in GxE studies.

The paper identifies 49 novel blood lipid loci associated with gene-sleep interactions in 126,926 individuals across 5 ancestry groups, with gene-short-sleep interactions explaining 4.25% of triglyceride variance.

VarExp estimates phenotypic variance explained by genetic variants using GWAS summary statistics without individual-level data.