It is known that person's genome accounts for various phenotypic traits, including disease susceptibility. Studies of common diseases have identified genomic variants that increase or decrease the risk of these diseases.However the mechanism of action of these variants is usually unknown. In order to understand how they work and to identify plausible drug targets it is important to study the effect of genetic variation on the steps that exist between DNA and the phenotype. The first step is transcription of DNA into RNA, which can be represented by the amount of RNA molecules. The effect of genetic variation on RNA levels is studied by correlating genotype and RNA data. In this thesis I used an approach called expression quantitative trait ...