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Table 1 Descriptive statistics

From: A method to assess the clinical significance of unclassified variants in the BRCA1 and BRCA2genes based on cancer family history

  Pathogenic variants (positive controls) Neutral variants (negative controls) P value
  Number of probands Mean ± standard deviation/percentage Number of probands Mean ± standard deviation/percentage  
Proband data      
   BRCAPRO score alla 115 0.580 ± 0.353 38 0.381 ± 0.219 0.000
   BRCAPRO1 scorea 65 0.472 ± 0.300 20 0.293 ± 0.155 0.000
   BRCAPRO2 scorea 50 0.244 ± 0.186 18 0.163 ± 0.123 0.001
   Myriad II scorea 115 0.241 ± 0.145 38 0.174 ± 0.094 0.000
   Sex (male)b 115 3.5 38 0 0.000
   BCb 115 80.9 38 84.2 0.810
   Bilateral BCb 115 14.8 38 18.4 0.611
   Age at BC diagnosisc 93 43.419 ± 10.208 32 46.178 ± 9.591 0.008
   OCb 115 18.3 38 5.3 0.066
   Age at OC diagnosisc 21 54.381 ± 9.967 2 48.190 ± 9.899 0.108
Family data      
   Members affectedd 115 3.548 ± 1.640 38 3.234 ± 1.124 0.056
   Proportion affecteda 115 0.183 ± 0.094 38 0.173 ± 0.078 0.199
   Number of tumorsd 115 4.200 ± 1.957 38 3.732 ± 1.329 0.007
   Total BC tumorsd 115 3.400 ± 2.021 38 3.266 ± 1.277 0.422
   Bilateral BCd 115 0.435 ± 0.637 38 0.375 ± 0.620 0.279
   BC in malesb 115 10.4 38 2.6 0.820
   Age at BC diagnosisc 115 45.607 ± 7.951 38 48.623 ± 7.577 0.000
   Total OC tumorsd 115 0.800 ± 0.929 38 0.466 ± 0.343 0.000
   Age at OC diagnosisc 64 52.982 ± 10.323 5 51.091 ± 11.234 0.435
  1. BC, breast cancer; OC, ovarian cancer. aUnivariate gamma linear regression model (t test). bTwo-by-two table (Fisher's exact test). cUnivariate Gaussian linear regression model (t test). dUnivariate Poisson linear regression model (z test).