title: [Analysis for susceptibility of breast cancer due to gene SMC4L1 based on a multi-criteria evaluation model].
abstract: The recent literature has proposed a multi-criteria evaluation model for breast cancer susceptibility. In this paper we employ the model to analyze the breast cancer susceptibility of several candidate genes having various relations with known breast cancer genes. Based on the model, we employed weight sum and TOPSIS methods to calculate the quantitative relations between candidate genes and breast cancer susceptibility. After the calculation, two ranking evaluation lists of alternatives were resulted from the two methods. The results generated with the two different methods were remarkably similar, while the top 7 were exactly identical. So the top 7 genes were analyzed, and the result from multi-criteria model was consistent with the previous research. A search of the literature using PubMed demonstrates CDC2 gene ranked first is researched frequently. Furthermore, TopBP1 gene ranked second and HMMR gene ranked 6th are identified as susceptibility genes for breast cancer by references in the literature. This multi-objective evaluation model can accurately represent the complex relationship between candidate genes and breast cancer susceptibility. Then this paper focuses on SMC4L1 gene ranked third. The analysis from various aspects indicates that SMC4L1 is potential to be a susceptibility gene for breast cancer. It's worthwhile to research on SMC4L1 and other top genes in result prior to and afterwards.
authors.affiliation: Institute of System Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Xu
authors.forename: Yan
authors.initials: Y
authors.lastname: Jiang
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics*; D005260:Female; D052138:Genes, Neoplasm; D020022:Genetic Predisposition to Disease; D006801:Humans; D008954:Models, Biological