Research Article

CAVaLRi: An Algorithm for Rapid Identification of Diagnostic Germline Variation

Table 1

Demographic distribution of reported cases.

Clinical ES trainingClinical ES testDDD

45819712832
Diagnostic variant count (%)
 0315 (68.8)137 (69.5)9217 (71.8)
 1141 (30.8)54 (27.4)3551 (27.7)
 22 (0.4)6 (3.1)63 (0.5)
 31 (<0.1)
Diagnostic = true (%)143 (31.2)60 (30.5)3615 (28.2)
Trio status (%)
 Singleton31 (6.8)18 (9.1)3297 (25.7)
 Duo108 (23.6)27 (13.7)82 (0.6)
 Trio319 (69.6)152 (77.2)9453 (73.7)
Years from sign out (mean (SD))4.52 (1.05)4.41 (1.02)
Sign-out age (mean (SD))7.66 (7.00)6.63 (6.15)
Clinical notes = available (%)400 (87.3)186 (94.4)
Sex = M (%)257 (56.1)111 (56.3)7843 (61.1)
Race (%)
 Asian15 (3.3)8 (4.1)
 Black or African American28 (6.1)15 (7.6)
 Multiple races21 (4.6)8 (4.1)
 Unknown33 (7.2)13 (6.6)
 White361 (78.8)153 (77.6)
Ethnicity (%)
 Hispanic or Latino16 (3.5)10 (5.1)
 Not Hispanic or Latino420 (91.7)181 (91.9)
 Unknown22 (4.8)8 (4.0)

The clinical ES training and test partitions were stratified by diagnostic variant presence and race. DDD demographic distribution is also provided where applicable, and not all demographic data were provided in the EGAS00001000775 download.