Clinical ChemistryGeneticsPeer-reviewed journal article
Development and validation of an expanded carrier screen that optimizes sensitivity via full-exon sequencing and panel-wide copy-number-variant identification
Gregory J. Hogan, Valentina S. Vysotskaia, Stefanie Seisenberger, Peter V. Grauman, Kyle A. BeauchampiD, Kevin R. Haas, Sun Hae HongiD, David Jennions, Diana Jeon, Shera Kash, H. Henry LaiiD, Laura M. MelroyiD, Mark R. Theilmann, Clement S. Chu, Saurav GuhaiD, Kevin Iori, Jared Maguire, Kenny K. WongiD, Eric A. EvansiD, Imran S. HaqueiD, Rebecca Mar‐Heyming, Hyunseok Peter KangiD, Dale MuzzeyiD
- Citations
- 71
- FWCI
- 5.67
- Field percentile
- top 3%
Abstract
PurposeBy identifying pathogenic variants across hundreds of genes, expanded carrier screening (ECS) enables prospective parents to assess risk of transmitting an autosomal recessive or X-linked condition. Detection of at-risk couples depends on the number of conditions tested, the diseases respective prevalences, and the screens sensitivity for identifying disease-causing variants. Here we present an analytical validation of a 235-gene sequencing-based ECS with full coverage across coding regions, targeted assessment of pathogenic noncoding variants, panel-wide copy-number-variant (CNV) calling, and customized assays for technically challenging genes.\n\nMethodsNext-generation sequencing, a customized bioinformatics pipeline, and expert manual call review were used to identify single-nucleotide variants, short insertions and deletions, and CNVs for all genes except FMR1 and those whose low disease incidence or high technical complexity precludes novel variant identification or interpretation. Variant calls were compared to reference and orthogonal data.\n\nResultsValidation of our ECS data demonstrated >99% analytical sensitivity and >99% specificity. A preliminary assessment of 15,177 patient samples reveals the substantial impact on fetal disease-risk detection attributable to novel CNV calling (13.9% of risk) and technically challenging conditions (15.5% of risk), such as congenital adrenal hyperplasia.\n\nConclusionValidated, high-fidelity identification of different variant types--especially in diseases with complicated molecular genetics--maximizes at-risk couple detection.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- approach: statistical model
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