William R. P. Denault

mfSuSiE improves fine-mapping of chromatin accessibility QTLs across multiple cell types and integrates multi-omic data in aging human brain samples.

SuSiE 2.0 improves genetic fine-mapping and phenotype prediction with faster performance, better calibration, and new methods like SuSiE-ash.

fSuSiE improves fine-mapping of QTLs by modeling spatial genetic effects on molecular traits, achieving higher resolution in identifying causal variants and their molecular targets.

The paper modifies the SuSiE model to improve calibration in small-sample studies, reducing false positives in genetic fine-mapping.

This study investigates DNA methylation differences on the X chromosome in ART-conceived versus naturally-conceived newborns, finding sex-specific methylation changes linked to neurodevelopmental processes.

This paper introduces a new method for one-sample Mendelian Randomization that reduces bias from weak instruments and enables cross-ethnic analysis.

Wavelet Screening improves GWAS power by reducing tests and considering joint SNP effects, showing better performance than traditional methods and SKAT in simulations.