en ژنتیک Genetic پژوهشي Research <p>Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitative trait that is controlled by interactions among several quantitative trait loci. Many biological data is presented in the context of biological networks and evaluation of biological networks is considered as the essential key to understanding complex biological systems. In this research, we used combination of information about quantitative trait loci of hypercholesterolemia with information of gene ontology and protein&ndash;protein interaction network for identification of genes associated with hypercholesterolemia. For this disease, we introduced 16 new genes which were in quantitative trait loci regions and were associated with the hypercholesterolemia disease in terms of gene ontology characteristics.</p> Complex disease, Disease gene prediction, Familial hypercholesterolemia, Protein interaction network, Quantitative trait loci 18 23 http://rmm.mazums.ac.ir/browse.php?a_code=A-10-698-1&slc_lang=en&sid=1 Ali Kazemipour ali.kazemi110@gmail.com 10031947532846005873 10031947532846005873 No Institute of Biochemistry and Biophysics, University of Tehran Bahram Goliaei goliaei@ibb.ut.ac.ir 10031947532846005874 10031947532846005874 Yes Institute of Biochemistry and Biophysics, University of Tehran Hamid Pezeshk hamid.pezeshk@gmail.com 10031947532846005875 10031947532846005875 No University of Tehran Behjat Kalantari khandani dkalantarikhandani@gmail.com 10031947532846005876 10031947532846005876 No Kerman University of Medical Sciences