Justin Pelletier

This study uses Mendelian randomization to identify circulating proteins associated with cardiovascular traits in African-ancestry populations and finds four proteins uniquely linked to lipids and heart diseases in this group.

The paper constructs a genetic reference panel for the Quebec population using whole-genome sequencing and GWAS to improve phenotype-genotype association discovery.

The paper estimates an elevated birth prevalence of Fraser syndrome in Quebec's French-Canadian population and identifies a founder pathogenic variant.

This paper improves polygenic risk scores for chronic back pain by combining multiple traits, showing better performance in clinical samples.

The paper identifies enriched coding variants in a French-Canadian founder population and explores their association with inflammatory bowel diseases.

This study identifies co-evolution and co-regulation in CYP3A and CYP4F genes across human populations, linking genetic diversity to drug metabolism and health outcomes.

The paper presents computational tools for analyzing SARS-CoV-2 genetic data, showing that haplotype networks and unsupervised learning can reveal lineage emergence and population dynamics.

ImputeCoVNet is a 2D ResNet Autoencoder for imputing missing SARS-CoV-2 variants, achieving accurate results at low allele frequencies with faster computation than Hamming distance methods.

This paper compares three polygenic risk scores for coronary artery disease and identifies issues with their clinical use due to population structure confounding and missing data effects.