Valentin Hivert

This study identifies genetic regulators of transcriptomic rhythmicity using GTEx data and links them to phenotypes in the Pan-UK Biobank.

This paper introduces a summary-statistics-based method to detect and quantify ascertainment bias in genetic studies using polygenic scores across multiple biobanks.

The paper identifies 219 pleiotropic conflict regions in the human genome using GWAS data, showing antagonistic variants are enriched for intermediate allele frequency SNPs and under positive/balancing selection.

The paper identifies biases in estimating heritability from ultra-rare variants and shows that accounting for these biases reveals significant heritability estimates for several traits.

The paper reassesses selection on height using GWAS and allele frequency data, finding positive selection at height-associated loci in Europe.

The paper compares mate-allocation strategies in sugarcane breeding that use additive and non-additive genetic effects to maximize clonal performance and reduce inbreeding.

This study estimates non-additive genetic variance in human complex traits using a large sample of unrelated individuals and finds that additive variance is predominant while dominance and epistatic variances are negligible.