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Table 2 The independent association between age at diagnosis and somatic mutations

From: Genomic aberrations in young and elderly  breast cancer patients

  Young age Intermediate age Older age Logistic model FDR
(≤45 years, n = 118) (46–69 years, n = 449) (≥70 years, n = 155) (P value)a
Mutations independently associated with young age at diagnosis
GATA3 18 (15.2 %) 37 (8.2 %) 14 (9 %) 0.003 0.033
Mutations independently associated with older age at diagnosis
TTN 16 (13.5 %) 68 (15.1 %) 45 (29 %) 0.0003 0.01
KMT2D 1 (0.8 %) 9 (2 %) 9 (5.8 %) 0.0003 0.01
CSPP1 0 3 (0.6 %) 8 (5.1 %) 0.0002 0.01
FOXA1 1 (0.8 %) 6 (1.3 %) 9 (5.8 %) 0.0009 0.013
XIST 0 6 (1.3 %) 9 (5.8 %) 0.0008 0.013
KMT2C 4 (3.3 %) 26 (5.7 %) 18 (11.6 %) 0.002 0.027
SYNE2 3 (2.5 %) 16 (3.5 %) 13 (8.3 %) 0.005 0.033
SPEN 2 (1.6 %) 13 (2.8 %) 12 (7.7 %) 0.005 0.033
USP34 1 (0.8 %) 12 (2.6 %) 9 (5.8 %) 0.004 0.033
ANK2 0 11 (2.4 %) 9 (5.8 %) 0.007 0.043
  1. aAnalysis adjusted for age, tumor size, nodal status, histology and breast cancer subtype. Only mutations with a minimum prevalence of 5 % in at least one age group is included. FDR, false discovery rate