William R. P. Denault

mfSuSiE enables multi-cell-type fine-mapping and multi-omic integration of chromatin accessibility QTLs in aging brain.

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: improved methods and implementations for genetic fine-mapping and phenotype prediction

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

fSuSiE enables fine-mapping of QTLs from genome-scale molecular profiles

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.

Accounting for uncertainty in residual variances improves calibration of the Sum of Single Effects model for small sample sizes

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

The X-factor in ART: does the use of Assisted Reproductive Technologies influence DNA methylation on the X chromosome?

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.

Cross-fitted instrument: a blueprint for one-sample Mendelian Randomization

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

Wavelet Screening: a novel approach to analysing GWAS data

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