Hervé Perdry

The paper models the impact of assortative mating and vertical cultural transmission on genetic association measures like heritability and GWAS results.

SURFBAT approximates transmission-disequilibrium tests using imputed haplotypes to detect genotype-phenotype associations while being robust to population stratification.

The paper extends previous work on assortative mating in an additive polygenic model by incorporating a correlation between parental and offspring environments.

RAVA-FIRST improves rare variant association testing in whole-genome data by using functionally-informed testing units and filtering, identifying a novel intergenic region linked to venous thromboembolism.

The paper introduces two efficient methods for estimating variant effects in genome-wide association studies using mixed logistic regression, showing superior performance compared to existing methods.

This paper conducts the first GWAS on non-severe malaria in infants, identifying genetic variants associated with susceptibility to mild malaria and highlighting candidate genes involved in innate immunity.