1. Development of an Evidence-Based Algorithm in WES-Based Diagnostics

Development of an Evidence-Based Algorithm in WES-Based Diagnostics

Dr. Peter Bauer, MD 1 Maximilian E. R. Weiss 1 Omid Paknia, PhD 1 Martin Werber 1 Aida M. Bertoli-Avella, MD 1 Zafer Yüksel, MD 1 Krishna Kumar Kandaswamy, PhD 1 Malgorzata Bochinska 1 Gabriela-Elena Oprea, PhD 1 Shivendra Kishore, PhD 1 Volkmar Weckesser, Dr 1 Ellen Karges, Ms 1 Prof. Arndt Rolfs, MD 1, 2
1 CENTOGENE AG 2 University of Rostock
April 11, 2018

These findings were presented at the American College of Medical Genetics and Genomics (ACMG ) annual meeting 2017.

Sensitivity of whole exome sequencing (WES) is not well-defined. We applied very low thresholds in WES-associated variant calling to also enable investigation of candidate variants that are commonly neglected. As Sanger sequencing revealed ~5% of these to be true positives (Figure 1), we considered numerous variant-specific features (Tables 1 and 2) for the development of a robust predictor for true and false positives. Iterative rounds of receiver operating characteristic (ROC) curve generation identified features and corresponding thresholds with high predictive value (Figure 2). In a corresponding workflow for our data, 91.3% of variants can be pre-classified with 100% specificity and 99.8% sensitivity, while the remaining 8.7% of variants require confirmatory Sanger sequencing (Figure 3).