Table 4.
Haplotype analysis results: 2xk test
| Gene | Variants | chi square | df | p-value |
|---|---|---|---|---|
| CYP19A1 | In4(TTTA)n_Gin6T_C1672T | 2.4956 | 4 | 0.6454 |
| CYP1A1 | T461N_I462V_T6235C | 2.5255 | 3 | 0.4707 |
| CYP1B1 | A119S_V432L_N453S | 8.3246 | 5 | 0.1392 |
| CYP2C9 | R144C_I359L | 0.5298 | 2 | 0.7673 |
| ESR1 | (TA)n_X_P_P325P | 5.9179 | 8 | 0.6564 |
| CYP2D6 | P34S_C1111T_delT_A2638 | 9.7182 | 4 | 0.0445 |
| NOS3 | T-786C_In4VNTR_E298D | 4.3272 | 6 | 0.6325 |
| PGR | 31G/A_S344T_V66OL | 1.9026 | 4 | 0.7537 |
Table 4 lists the eight genes with multiple loci that were used in the haplotype analysis. A chi-sq test used a 2Xk approach in which for each arm (T, P) one haplotype was compared to each other haplotype in both arms (see details in the statistical methods section). This test indicates if a gene haplotype is significantly associated with either arm but does not tell which haplotype of the gene is significant. However, there were only marginally significant results for one gene, CYP2D6.
Abbreviations: df, degrees of freedom