Table 2. Participant Characteristics.
Characteristic | Participants, No (%) | ||
---|---|---|---|
European ancestry, (n = 33 594) | African ancestry, (n = 3801) | Latinx ancestry, (n = 2196) | |
Age, mean (SD), ya | 66.1 (17.7) | 59.6 (16.5) | 59.9 (19.4) |
Breast cancer diagnosis | 3960 (11.8) | 274 (7.2) | 147 (6.7) |
Age at breast cancer diagnosis, mean (SD), yb | 60.7 (13.0) | 58.8 (12.5) | 60.1 (13.0) |
Estrogen receptor status, No. (% of cases) | |||
Positive | 1052 (26.6) | 20 (7.3) | 22 (15.0) |
Negative | 241 (6.1) | 15 (5.5) | 4 (2.7) |
Missing | 2667 (67.3) | 239 (87.2) | 121 (82.3) |
eMERGE network site | |||
Columbia University Medical Center | 202 (0.6) | 73 (1.9) | 158 (7.2) |
Geisinger | 1330 (4) | 4 (0.1) | 8 (0.4) |
Partners Healthcare | 13 392 (39.9) | 927 (24.4) | 1093 (49.8) |
Kaiser Permanente Washington Health Research Institute/University of Washington | 1646 (4.9) | 65 (1.7) | 55 (2.5) |
Mayo Clinic | 3547 (10.6) | 10 (0.3) | 22 (1) |
Marshfield Clinic Research Foundation | 2815 (8.4) | 8 (0.4) | |
Mount Sinaic | 220 (0.7) | 2515 (66.2) | 742 (33.8) |
Northwestern University | 1878 (5.6) | 207 (5.4) | 23 (1) |
Vanderbilt University | 8564 (25.5) | 0 | 87 (4) |
Abbreviation: eMERGE, Electronic Medical Records and Genomics.
Age was calculated at the time of electronic phenotyping algorithm deployment.
Age at breast cancer diagnosis was defined as the age at the first breast cancer International Classification of Diseases–related code.
Mount Sinai only executed the phenotype algorithm for case-control definition; no estrogen receptor status data were extracted for this site.