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. 2023 Nov 7;16:211. doi: 10.1186/s13048-023-01295-y

Table 3.

Predictive models of PCOS and subgroups with CAG biallelic average

Model Variable PCOS VS Control L-AFC VS Control H-AFC VS Control H-AFC VS L-AFC
OR p value OR p value OR p value OR p value
1 Long allele < 24 0.894 0.733 0.746 0.394 2.202 0.157 2.952 0.045
2 Long allele < 24 0.803 0.532 0.693 0.316 1.694 0.387 2.996 0.048
Age 0.896 0.005 0.907 0.013 0.826 0.037 0.945 0.390
BMI 1.180 0.001 1.171 0.002 1.204 0.013 1.064 0.318
3 Biallelic average < 22.5 1.497 0.228 1.259 0.507 3.758 0.022 2.986 0.047
4 Biallelic average < 22.5 1.315 0.439 1.158 0.687 3.112 0.069 2.827 0.062
Age 0.897 0.006 0.906 0.012 0.827 0.047 0.966 0.590
BMI 1.173 0.001 1.164 0.003 1.202 0.017 1.066 0.299

These models included the presence or absence of long allele < 24 and biallelic average < 22.5 as the independent variable and the presence or absence of PCOS/L-AFC/H-AFC as the dependent variable separately

Abbreviations: PCOS polycystic ovary syndrome, BMI body mass index, AFC antral follicle count, L-AFC low AFC (AFC < 20), H-AFC high AFC (AFC ≥ 20)