During the past decade, findings of genome-wide association studies (GWAS) improved our
knowledge and understanding of disease genetics. To date, thousands of SNPs have been …

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 …

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 …

Complex diseases are defined to be determined by multiple genetic and environmental
factors alone as well as in interactions. To analyze interactions in genetic data, many …

The primary goal of translational research is to generate and apply knowledge that can
improve human health. Although research conducted within the confines of a single …

Here we introduce the multifactor dimensionality reduction (MDR) methodology and
software package for detecting and characterizing epistasis in genetic association studies …

The studies investigating gene–gene and gene–environment (or gene–behavior)
interactions provide valuable insight into the pathomechanisms underlying obese …

Motivation Single-nucleotide polymorphism (SNP)–SNP interactions (SSIs) are popular
markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) …

Background Detection of gene-gene interaction (GGI) is a key challenge towards solving the
problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) …

Several lines of evidence suggest that genes involved in dopamine (DA) transmission may
contribute to creativity. Among these genes, the catechol-O-methyltransferase gene (COMT) …