Bryan C. Quach

This study identifies epigenetic variation linked to opioid overdose using H3K27ac profiling and machine learning, revealing splicing dysregulation and CELF5 as a key factor.

The paper identifies FDA-approved drugs targeting genes associated with opioid use disorder by integrating multi-omic data and drug databases.

This study evaluates 18 functional weighting methods to enhance GWAS discovery, finding some methods can nominate high PPV variants for multiple traits without increasing sample size.

The paper shows that incorporating cell size parameters improves deconvolution of brain RNA-seq data, but using external cell size estimates can introduce bias.

The paper identifies case-specific epigenetic alterations in opioid dependence using ChIP-seq and Hi-C, revealing convergent regulatory loci associated with genetic and environmental risk factors.

The paper uses Hi-C data to link genetic risk variants for smoking and alcohol use to specific genes and pathways in brain regions involved in addiction.

The paper identifies novel genetic loci associated with nicotine dependence and shows genetic correlations with other smoking traits and comorbidities using genome-wide association studies.

The paper identifies a DNA methylation biomarker in blood associated with lifetime cannabis use and develops a classifier to detect cannabis use.

This study identifies DNA methylation differences in the nucleus accumbens of smokers versus nonsmokers, revealing both shared and tissue-specific CpGs associated with smoking.

The paper identifies genetic regulators of gene expression and chromatin accessibility across multiple tissues using a genetically diverse mouse population and proposes a causal model for gene regulation.