Table 1

Parameter estimates, goodness-of-fit measures and likelihood ratio tests (LRTs) of the seven cohort-specific models for breast and ovarian cancer

ModelBRCA1 frequency (95% CI)BRCA2 frequency (95% CI)Major gene frequency (95% CI)Major gene log relative risk (95% CI)Polygenic SD (95% CI)Log-likelihoodAICLRT p value
Base0.00081 (0.00061 to 0.0011)0.0026 (0.0020 to 0.0033)−2892.2375788.4745.11E-06
Major dominant0.00079 (0.00060 to 0.0011)0.0026 (0.0020 to 0.0032)0.00025 (0.000041 to 0.0015)4.8 (3.3 to 6.2)−2880.3435768.6860.047
Major recessive0.00080 (0.00060 to 0.0011)0.0026 (0.0020 to 0.0032)0.085 (0.017 to 0.33)4.0 (2.0 to 6.0)−2882.1225772.2440.0079
Major general0.00079 (0.00060 to 0.0011)0.0026 (0.0020 to 0.0032)0.00025 (0.00020 to 0.0033)4.8 (3.3 to 6.3)−2880.3355770.670.013
7.4 (−14.1 to 28.8)
Polygenic0.00079 (0.00060 to 0.0011)0.0026 (0.0020 to 0.0033)1.43 (1.10 to 1.86)−2879.1865764.3720.28
Mixed dominant0.00079 (0.00059 to 0.0011)0.0026 (0.0020 to 0.0032)0.00023 (0.000023 to 0.0022)4.7 (2.8 to 6.6)1.09 (0.64 to 1.86)−2877.2895764.5760.91
Mixed recessive0.00079 (0.00060 to 0.0011)0.0026 (0.0020 to 0.0032)0.076 (0.020 to 0.25)3.7 (1.5 to 5.9)1.19 (0.74 to 1.91)−2878.3745768.8060.14
Mixed general0.00079 (0.00059 to 0.0011)0.0026 (0.0020 to 0.0032)0.00023 (0.000023 to 0.0023)4.7 (2.8 to 6.6)1.09 (0.64 to 1.86)−2877.2835766.566
9.4 (−20.5 to 39.3)
  • AIC, Akaike's information criterion; LRT p value, probability of the difference between log-likelihoods comparing each model against the mixed general model.