title: [Using MSR model to analyze the impact of gene-gene interaction with related to the genetic polymorphism of metabolism enzymes on the risk of breast cancer].
abstract: OBJECTIVE
  To identify the interactions of susceptive genes with related to the genetic polymorphism of metabolism enzymes (CYP1A1, GSTT1 and GSTM1) and their impacts on the risk of breast cancer; and to test the feasibility of using Multifactor Dimensionality Reduction (MDR) model in analyzing gene-gene interactions.
  
  
  METHODS
  A paired case-control study, matched by age and menstruate state, was conducted. From December 2003 to September 2004, 78 pairs of people with and without breast cancers were investigated. The variant genotypes of CYP1A1 Msp I and GSTT1/M1 were identified by PCR-RFLP and multiplex PCR assays. The gene-gene interactions were analyzed with the MDR model. Based on the result of the MDR model, a conditional logistic regression model was constructed as the final cause-effect interpretative model.
  
  
  RESULTS
  The interaction between CYP1A1 Msp I variant genotype (vv) and GSTT1 null genotype gave the best MDR model with statistical significance (Sign Test, P = 0.05). The model Testing Balance Accuracy was 0. 5920. The Cross-Validation consistency was 10/10. The final conditional logistic regression based on the MDR model showed that passive smoking, abortion and gene-gene interaction were risks of breast cancers, with an OR (95% confidence interval) of 12.234 (1.7459-85.7279), 4.554 (1.3250-15.6507) and 9.597 (1.5783-58.3599), respectively.
  
  
  CONCLUSIONS
  The MDR model may be an effective method for estimating risks of breast cancers due to gene-gene and gene-environment interactions. The gene-gene interaction with related to the genetic polymorphism of metabolism enzymes (CYP1A1 and GSTT1) may increase the risk of breast cancer by disturbing the metabolism of estrogen.
authors.affiliation: Department of Mastologic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China.
authors.forename: Jia-yuan
authors.initials: JY
authors.lastname: Li
authors.forename: Qi-ming
authors.initials: QM
authors.lastname: Long
authors.forename: Ping
authors.initials: P
authors.lastname: Tao
authors.forename: Rui
authors.initials: R
authors.lastname: Hu
authors.forename: Hui
authors.initials: H
authors.lastname: Li
authors.forename: Fang-ming
authors.initials: FM
authors.lastname: Lei
authors.forename: Wei-dong
authors.initials: WD
authors.lastname: Zhou
authors.forename: Shuang-fei
authors.initials: SF
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000201:enzymology* / Q000235:genetics* / Q000378:metabolism; D016022:Case-Control Studies; D019363:Cytochrome P-450 CYP1A1 / Q000235:genetics; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005838:Genotype; D005982:Glutathione Transferase / Q000235:genetics; D006801:Humans; D016015:Logistic Models; D016555:Matched-Pair Analysis; D008875:Middle Aged; D008957:Models, Genetic; D011110:Polymorphism, Genetic; D018570:Risk Assessment
chemical_list: D019363:Cytochrome P-450 CYP1A1; D005982:Glutathione Transferase; C413545:glutathione S-transferase T1