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. 2017 Dec 11;12(12):e0189317. doi: 10.1371/journal.pone.0189317

Table 2. Demographic factors of the GERA study population used in genome-wide association analyses of rotator cuff injury.

GERA—ALL Casesa Controls Overall
Subjects [N (%)] 8357 (8.1%) 94622 (91.9%) 102979
Sexb [N (%)]      
Female 4166 (7.0%) 55505 (93.0%) 59671
Male 4188 (9.7%) 39054 (90.3%) 43242
Undetermined 3 (4.5%) 63 (95.5%) 66
Racec [N (%)]      
European 6993 (8.4%) 76271 (91.6%) 83264
Latin American 669 (7.8%) 7891 (92.2%) 8560
East Asian 394 (5.2%) 7124 (94.8%) 7518
African American 269 (8.5%) 2892 (91.5%) 3161
South Asian 32 (6.7%) 444 (93.3%) 476
Aged 66.9 62.4 62.7
(66.7–67.0) (62.3–62.5) (62.6–62.8)

a Cases with rotator cuff injury as defined by individuals with 1 or more qualifying ICD-9 or CPT-4 code in their electronic health records (EHR). For details see Methods and Table 2.

b Sex/gender as determined by an individuals genetic data, reported as the number and percentage of total cases, controls, or overall for each respective group. For details see Methods and dbGaP (Study Accession: phs000674.v1.p1).

c Race/ethnic groups as determined by principle component analysis (PCA) on individuals genetic data from the GERA cohort. Reported as the number and percentage of total cases, controls, or overall for each respective group. For details see Methods and dbGaP (Study Accession: phs000674.v1.p1).

d Age at subject enrollment in the GERA cohort, reported as mean age with 95% confidence interval.