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Table 3 Association between CASC16 polymorphisms and breast cancer risk

From: The association of CASC16 variants with breast Cancer risk in a northwest Chinese female population

SNP IDModelGenotypeCase
N (%)
Control
N (%)
OR (95% CI)pa
rs3803662
 CodominantA/A318 (46.70)310 (45.66)1 
A/G308 (45.23)292 (43.00)1.03 (0.82–1.29)0.805
G/G55 (8.08)77 (11.34)0.70 (0.48–1.02)0.061
DominantA/A318 (46.70)310 (45.66)1 
A/G-G/G363 (53.30)369 (54.34)0.96 (0.77–1.18)0.700
RecessiveA/A-A/G626 (91.92)602 (88.66)1 
G/G55 (8.08)77 (11.34)0.69 (0.48–0.99)0.042
Log-additive0.90 (0.77–1.06)0.223
rs4784227
 CodominantC/C353 (52.30)394 (58.37)1 
T/C270 (40.00)240 (35.56)1.26 (1.00–1.57)0.048
T/T52 (7.70)41 (6.07)1.42 (0.92–2.18)0.117
DominantC/C353 (52.30)394 (58.37)1 
T/C-T/T322 (47.70)281 (41.63)1.28 (1.03–1.59)0.025
RecessiveC/C-T/C623 (92.30)634 (93.93)1 
T/T52 (7.70)41 (6.07)1.29 (0.84–1.97)0.239
Log-additive1.22 (1.03–1.45)0.023
rs45544231
 CodominantG/G445 (65.35)446 (65.59)1 
G/C204 (29.96)205 (30.15)0.99 (0.79–1.26)0.980
C/C32 (4.70)29 (4.26)1.11 (0.66–1.86)0.707
DominantG/G445 (65.35)446 (65.59)1 
G/C-C/C236 (34.65)234 (34.41)1.01 (0.81–1.26)0.928
RecessiveG/G-G/C649 (95.30)651 (95.74)1 
C/C32 (4.70)29 (4.26)1.11 (0.66–1.85)0.701
Log-additive1.02 (0.85–1.23)0.831
rs12922061
 CodominantC/C348 (51.10)381 (56.03)1 
C/T278 (40.82)262 (38.53)1.16 (0.93–1.45)0.187
T/T55 (8.08)37 (5.44)1.63 (1.05–2.53)0.030
DominantC/C348 (51.10)381 (56.03)1 
C/T-T/T333 (48.90)299 (43.97)1.22 (0.99–1.51)0.068
RecessiveC/C-C/T626 (91.92)643 (94.56)1 
T/T55 (8.08)37 (5.44)1.53 (0.99–2.35)0.054
Log-additive1.22 (1.03–1.45)0.025
rs3112612
 CodominantA/A444 (65.29)446 (65.59)1 
A/G204 (30.00)203 (29.85)1.01 (0.80–1.28)0.938
G/G32 (4.71)31 (4.56)1.04 (0.62–1.73)0.891
DominantA/A444 (65.29)446 (65.59)1 
A/G-G/G236 (34.71)234 (34.41)1.01 (0.81–1.27)0.911
RecessiveA/A-A/G648 (95.29)649 (95.44)1 
G/G32 (4.71)31 (4.56)1.03 (0.62–1.72)0.899
Log-additive1.01 (0.84–1.22)0.889
  1. CI confidence interval, OR odds ratio, SNP single nucleotide polymorphism
  2. ap-values were calculated by unconditional logistic regression analysis with adjustment for age
  3. pa < 0.05 indicates statistical significance
  4. Highlighted in bold indicates the significant association between SNPs and breast cancer risk