Table 1.

Associations between genetic ancestry and demographic and clinical characteristics of Latinas in the Kaiser Permanente Northern California Pathways Study (n = 506).

Indigenous ancestryEuropean ancestry
N (%)Median (IQR)PaMedian (IQR)Pa
Age at diagnosis, y
 <4040 (7.9)39.8 (23.9)<0.000151.4 (22.1)0.0002
 40–50138 (27.3)38.2 (23.9)52.9 (23.4)
 50–60157 (31.0)31.2 (25.6)57.1 (25.3)
 ≥60171 (33.8)28.9 (30.1)59.1 (32.4)
Body mass index
 <25 kg/m2136 (27.8)30.1 (27.4)0.0259.7 (30.4)0.01
 25–29.9 kg/m2157 (32.0)36.2 (22.1)52.6 (23.3)
 30–34.9 kg/m2105 (21.4)32.5 (20.1)55.8 (23.1)
 ≥35 kg/m292 (18.8)34.4 (30.4)57.3 (25.0)
Education level
 High school171 (33.9)38.4 (22.1)<0.000151.3 (22.4)<0.0001
 Some college200 (39.6)31.3 (24.8)57.7 (22.2)
 College graduate77 (15.3)31.1 (26.0)56.9 (29.4)
 Postgraduate degree57 (11.3)13.8 (30.2)77.9 (28.7)
Household income
 <$25,00060 (11.9)37.5 (20.5)<0.000153.4 (24.6)<0.0001
 $25000–49,999104 (20.6)33.5 (25.0)56.5 (22.6)
 $50,000–89,999165 (32.6)30.0 (28.1)59.0 (28.7)
 >$90,00092 (18.2)28.0 (31.2)62.8 (34.3)
 Not disclosed85 (16.8)38.3 (20.4)50.2 (20.9)
AJCC Stage
 Stage I or II433 (86.3)32.3 (25.3)0.4556.9 (24.9)0.56
 Stage III or IV69 (13.7)35.2 (26.1)56.1 (24.8)
Estrogen receptor (ER) positive
 No94 (18.7)31.0 (22.9)0.1359.2 (24.0)0.21
 Yes408 (81.3)33.0 (27.0)56.4 (25.8)
HER-2 positive
 No404 (84.3)32.4 (26.5)0.7256.2 (25.7)0.56
 Yes75 (15.7)31.7 (26.5)59.0 (22.9)
Triple-negative
 No439 (86.8)32.6 (26.5)0.1656.6 (25.6)0.35
 Yes67 (13.2)33.3 (32.2)57.6 (26.7)
Chemotherapy
 No229 (45.9)32.2 (24.6)0.5356.3 (25.3)0.73
 Yes270 (54.1)33.2 (26.8)57.5 (25.2)
Hormonal therapy
 No138 (27.4)31.7 (23.5)0.3557.6 (24.2)0.46
 Yes366 (72.6)33.0 (27.0)56.4 (26.0)
Radiotherapy
 No283 (56.4)33.1 (27.3)0.3056.7 (25.4)0.36
 Yes219 (43.6)32.3 (24.8)57.0 (25.9)
Surgery
 No surgery5 (1.0)25.8 (32.3)0.7255.6 (34.6)0.70
 Lumpectomy291 (58.0)33.1 (25.7)57.0 (26.4)
 Simple or radical mastectomy206 (41.0)31.7 (26.4)56.7 (24.0)
  • Abbreviation: IQR, interquartile range.

  • aP values obtained by fitting univariable regression models for type of ancestry on each characteristic.