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Eurasian Journal of Medicine and
            Oncology
                                                                         Genomics of breast cancer in Western Kazakhstan



            Table 6. Top 32 key factors influencing the “breast cancer” indicator outcome (absolute risk estimates, risk change, and
            relative risk)
            Factor                      BC: Frequency  (%)      Risk change (95% CI) b  Relative risk (95% CI)  P‑value
                                                  a
                                  Factor: Absent  Factor: Present
            Rs137852985 (TC and TT)  33 (19.5)     96 (90.6)      71.0 (62.9 – 79.2)  4.64 (3.39 – 6,34)  <0.0001
            Rs2229774 (AG and AA)   40 (23.4)      107 (84.9)     61.5 (52.6 – 70.4)  3.63 (2.74 – 4,81)  <0.0001
            Rs2981582 (AG and AA)   10 (11.0)      131 (69.7)     58.7 (49.5 – 67.9)  6.34 (3.51 – 11.47)  <0.0001
            Rs757229 (GC and CC)    24 (28.2)      123 (58.0)     29.8 (18.1 – 41.4)  2.05 (1.44 – 2.94)  <0.0001
            Age, years ≥54,0        52 (36.9)      96 (61.1)      24.3 (13.2 – 35.3)  1.66 (1.29 – 2.13)  <0.0001
            Rs1800058 (CC)          46 (39.7)      97 (60.6)      21.0 (9.3 – 32.7)  1.53 (1.18 – 1.98)  0.0006
            Rs137852576 (AG)        34 (35.4)      107 (55.2)     19.7 (7.9 – 31.6)  1.56 (1.16 – 2.10)  0.0016
            Rs4987117 (CC)          40 (38.5)      109 (55.9)     17.4 (5.8 – 29.1)  1.45 (1.11 – 1.91)  0.0041
            Rs1799954 (CC)          40 (38.8)      109 (55.6)     16.8 (5.1 – 28.5)  1.43 (1.09 – 1.88)  0.0058
            Rs80357382 (TT)         38 (38.0)      105 (54.4)     16.4 (4.6 – 28.2)  1.43 (1.08 – 1.90)  0.0077
            Rs3918290 (CC)          40 (39.2)      109 (55.3)     16.1 (4.4 – 27.9)  1.41 (1.07 – 1.85)  0.0082
            Rs11203289 (GG)         40 (39.2)      109 (55.3)     16.1 (4.4 – 27.9)  1.41 (1.07 – 1.85)  0.0082
            Rs11571747 (AA)         40 (39.2)      109 (55.3)     16.1 (4.4 – 27.9)  1.41 (1.07 – 1.85)  0.0082
            Rs80359062 (CC)         40 (39.2)      109 (55.3)     16.1 (4.4 – 27.9)  1.41 (1.07 – 1.85)  0.0082
            Rs62625308 (GG)         40 (39.2)      109 (55.3)     16.1 (4.4 – 27.9)  1.41 (1.07 – 1.85)  0.0082
            Rs34945627 (CC)         39 (39.0)      107 (55.2)     16.2 (4.3 – 28.0)  1.41 (1.07 – 1.86)  0.0087
            Rs3092856 (CC)          40 (39.2)      107 (55.2)     15.9 (4.2 – 27.7)  1.41 (1.07 – 1.85)  0.0091
            Rs55886062 (AA)         40 (39.2)      108 (55.1)     15.9 (4.1 – 27.6)  1.41 (1.07 – 1.85)  0.0093
            Rs28934577 (AA)         40 (39.2)      108 (55.1)     15.9 (4.1 – 27.6)  1.41 (1.07 – 1.85)  0.0093
            Rs1800057 (CC)          40 (39.2)      108 (55.1)     15.9 (4.1 – 27.6)  1.41 (1.07 – 1.85)  0.0093
            Note:  All data are expressed as sample size (%);  All data are expressed in %.
                a
                                           b
            Abbreviations: BC: Breast cancer; CI: Confidence interval.
























                           Figure 1. Classification tree for breast cancer risk based on identified risk polymorphisms and patient age
            (correctly identifying positive cases) and 92.4% specificity   ranging  from  0.0%  to  100.0%.  These  risk  levels  were
            (correctly identifying negative cases).            determined based on the following five influencing factors:
              Thus, using the decision tree method for the BC risk   Rs137852985, Rs757229, Rs2981582, age <56 years, and
            indicator, six risk classes were identified, with risk levels   age ≥49 years. The highest-risk class, with a 100.0% risk


            Volume 9 Issue 1 (2025)                         99                              doi: 10.36922/ejmo.5385
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