Arthur Frouin

Taxonomic-free metagenome GWAS to identify gut microbiome functions influencing host phenotypes

The paper develops a taxonomy-free GWAS method using k-mers to analyze gut microbiome associations with host phenotypes, identifying significant links to seven traits in a cohort of healthy participants.

Polygenic risk score prediction accuracy convergence

This study assesses the progress and limitations of polygenic risk score prediction accuracy for common diseases, showing diminishing returns from recent GWAS and highlighting the need for broader variant coverage.

Empowering multitrait brain phenotypes GWAS

This study evaluates multitrait GWAS for brain MRI phenotypes, showing predictable gains over univariate GWAS and proposing data-driven strategies for phenotype selection.

Linking the genetic structure of neuroanatomical phenotypes with psychiatric disorders

The paper uses multitrait GWAS to identify genetic links between MRI brain volume phenotypes and psychiatric disorders, finding significant associations with ADHD and schizophrenia.

A multivariate outcome test of covariance

The paper introduces MANOCCA, a method to test the effect of predictors on the covariance matrix of multivariate outcomes, showing it outperforms existing methods in simulations and identifies significant associations in real data.

ChoruMM: a versatile multi-components mixed model for bacterial-GWAS

The paper develops ChoruMM, a multi-components mixed model for bacterial GWAS, showing that standard human genetics models are inadequate for highly structured bacterial genomes.