| Literature DB >> 29389922 |
Kristin McDonald Gibson1, Addie Nesbitt1, Kajia Cao1, Zhenming Yu1, Elizabeth Denenberg1, Elizabeth DeChene1, Qiaoning Guan1, Elizabeth Bhoj1, Xiangdong Zhou2, Bo Zhang2, Chao Wu1, Holly Dubbs3, Alisha Wilkens1, Livija Medne4, Emma Bedoukian4, Peter S White5, Jeffrey Pennington5, Minjie Luo1,6, Laura Conlin1,6, Dimitri Monos1,6, Mahdi Sarmady1, Eric Marsh3,7, Elaine Zackai3,8, Nancy Spinner1,6, Ian Krantz4,8, Matt Deardorff4,8, Avni Santani1,6.
Abstract
PurposeThe objective of this study was to assess the ability of our laboratory's exome-sequencing test to detect known and novel sequence variants and identify the critical factors influencing the interpretation of a clinical exome test.MethodsWe developed a two-tiered validation strategy: (i) a method-based approach that assessed the ability of our exome test to detect known variants using a reference HapMap sample, and (ii) an interpretation-based approach that assessed our relative ability to identify and interpret disease-causing variants, by analyzing and comparing the results of 19 randomly selected patients previously tested by external laboratories.ResultsWe demonstrate that this approach is reproducible with >99% analytical sensitivity and specificity for single-nucleotide variants and indels <10 bp. Our findings were concordant with the reference laboratories in 84% of cases. A new molecular diagnosis was applied to three cases, including discovery of two novel candidate genes.ConclusionWe provide an assessment of critical areas that influence interpretation of an exome test, including comprehensive phenotype capture, assessment of clinical overlap, availability of parental data, and the addressing of limitations in database updates. These results can be used to inform improvements in phenotype-driven interpretation of medical exomes in clinical and research settings.Entities:
Mesh:
Year: 2017 PMID: 29389922 DOI: 10.1038/gim.2017.153
Source DB: PubMed Journal: Genet Med ISSN: 1098-3600 Impact factor: 8.822