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20182026
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7 papers · 1 filter

stat.ME2026

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model

Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona +1

Understanding how genetic and epigenetic factors jointly influence binary health outcomes remains a major challenge in biomedical research. We propose a global test for the overall…

stat.ME2025

A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs

Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona +1

We introduce a test for the overall effect of interaction between DNA methylation and a set of single nucleotide polymorphisms (SNPs) on a quantitative phenotype. The developed inf…

stat.ME2025

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies

Julien St-Pierre, Sahir Rai Bhatnagar, Massimiliano Orri +3

This work is motivated by analyses of longitudinal data collected from participants in the Quebec Longitudinal Study of Child Development (QLSCD) and the Quebec Newborn Twin Study…

stat.ME2023

Hierarchical selection of genetic and gene by environment interaction effects in high-dimensional mixed models

Julien St-Pierre, Karim Oualkacha

Interactions between genes and environmental factors may play a key role in the etiology of many common disorders. Several regularized generalized linear models (GLMs) have been pr…

stat.ME2021

A copula-based set-variant association test for bivariate continuous or mixed phenotypes

Julien St-Pierre, Karim Oualkacha

In genome wide association studies (GWAS), researchers are often dealing with non-normally distributed traits or a mixture of discrete-continuous traits. However, most of the curre…

stat.ME2021

Detecting differentially methylated regions in bisulfite sequencing data using quasi-binomial mixed models with smooth covariate effect estimates

Kaiqiong Zhao, Karim Oualkacha, Lajmi Lakhal-Chaieb +6

Identifying disease-associated changes in DNA methylation can help to gain a better understanding of disease etiology. Bisulfite sequencing technology allows the generation of meth…