Craig L Hyde

This paper conducts a genome-wide association study to identify genetic variants associated with varenicline-aided smoking cessation using electronic health records.

PfaSTer predicts serotypes of Streptococcus pneumoniae genomes using machine learning and k-mer analysis, achieving >97% concordance with biochemical and other in-silico methods.

The paper meta-analyzes AD datasets to identify gene signatures correlated with disease activity and therapeutic effects.

The paper derives an empirical distance cutoff to distinguish cis and trans protein QTLs using a large-scale pQTL study and applies it to molecular GWAS traits.

This study conducts a large GWAS on heart failure, identifying 12 genetic loci with associations to CAD, atrial fibrillation, and reduced left ventricular function, and provides causal evidence for several risk factors.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.