Statistical genetics is a classical branch of applied probability and statistics, which has recently gained much momentum, due to the significant breakthroughs in genetics. With the modern techniques, new methods, and significantly increased data information, it is imperative to study the relationship between diseases and other traits and genetic susceptibilities in an unprecedented manner. This area is among the hottest topics in applied statistics, applied mathematics, biological/medical studies, and other related sciences.

The main aim of this special issue will focus on the new applications of existing computational, mathematical, and statistical methods in genetic disease study. The special issue will become an international forum for researchers to discuss the most recent developments and ideas in the field. Potential topics include, but are not limited to:

• Case-control genetic association
• Common and rare variants
• DNA and chromosome
• Population genetics
• Recombination and linkage
• SNP analysis
• New statistical methods in diagnostic medicine
• Gene expression
• Gene mutation
• Gene regulation
• Genetic diseases: cancer, cardiovascular, diabetes, HIV, obesity, schizophrenia, and so forth

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/sg/ according to the following timetable: