Genome-wide association (GWA) studies have typically focused on the analysis of single
markers, which often lacks the power to uncover the relatively small effect sizes conferred by …

Recent studies have demonstrated that gene set analysis, which tests disease association
with genetic variants in a group of functionally related genes, is a promising approach for …

The gene has been proposed as an attractive unit of analysis for association studies, but a
simple yet valid, powerful, and sufficiently fast method of evaluating the statistical …

Brain imaging genomics is an emerging data science field, where integrated analysis of
brain imaging and genomics data, often combined with other biomarker, clinical, and …

There is growing interest in performing genome-wide searches for associations between
genetic variants and brain imaging phenotypes. While much work has focused on single …

Recent advances in neuroimaging technology and molecular genetics provide the unique
opportunity to investigate genetic influence on the variation of brain attributes. Since the year …

Imaging traits provide a powerful and biologically relevant substrate to examine the
influence of genetics on the brain. Interest in genome-wide, brain-wide search for influential …

Genome-wide association studies (GWAS) have rapidly become a powerful tool in genetic
studies of complex diseases and traits. Traditionally, single marker-based tests have been …

Bovine Johne's disease (JD), caused by Mycobacterium avium spp. paratuberculosis (MAP),
causes significant losses to the dairy and beef cattle industries. Effective vaccination or …

We study the problem of testing for single marker‐multiple phenotype associations based on
genome‐wide association study (GWAS) summary statistics without access to individual …