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Lessons learned from additional research analyses of unsolved clinical exome cases

Authors :
Theodore Chiang
Carlos A. Bacino
Fernando Scaglia
Yaping Yang
Weimin Bi
Richard A. Gibbs
Christian P. Schaaf
Sharon E. Plon
Eric Boerwinkle
Jonas Denecke
Asbjørg Stray-Pedersen
Lorraine Potocki
Christine M. Eng
Sébastien Küry
Wojciech Wiszniewski
Fan Xia
Tomasz Gambin
Shalini N. Jhangiani
Samantha Penney
Seema R. Lalani
Mohammad K. Eldomery
Donna M. Muzny
James R. Lupski
Tamar Harel
Brett H. Graham
Pengfei Liu
Sandra Mercier
Davor Lessel
Richard Alan Lewis
Harsha Doddapaneni
Michael F. Wangler
Jordan S. Orange
Jill A. Rosenfeld
Jianhong Hu
John W. Belmont
Arthur L. Beaudet
Jennifer E. Posey
V. Reid Sutton
Zeynep H. Coban-Akdemir
Source :
Genome Medicine
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

Background Given the rarity of most single-gene Mendelian disorders, concerted efforts of data exchange between clinical and scientific communities are critical to optimize molecular diagnosis and novel disease gene discovery. Methods We designed and implemented protocols for the study of cases for which a plausible molecular diagnosis was not achieved in a clinical genomics diagnostic laboratory (i.e. unsolved clinical exomes). Such cases were recruited to a research laboratory for further analyses, in order to potentially: (1) accelerate novel disease gene discovery; (2) increase the molecular diagnostic yield of whole exome sequencing (WES); and (3) gain insight into the genetic mechanisms of disease. Pilot project data included 74 families, consisting mostly of parent–offspring trios. Analyses performed on a research basis employed both WES from additional family members and complementary bioinformatics approaches and protocols. Results Analysis of all possible modes of Mendelian inheritance, focusing on both single nucleotide variants (SNV) and copy number variant (CNV) alleles, yielded a likely contributory variant in 36% (27/74) of cases. If one includes candidate genes with variants identified within a single family, a potential contributory variant was identified in a total of ~51% (38/74) of cases enrolled in this pilot study. The molecular diagnosis was achieved in 30/63 trios (47.6%). Besides this, the analysis workflow yielded evidence for pathogenic variants in disease-associated genes in 4/6 singleton cases (66.6%), 1/1 multiplex family involving three affected siblings, and 3/4 (75%) quartet families. Both the analytical pipeline and the collaborative efforts between the diagnostic and research laboratories provided insights that allowed recent disease gene discoveries (PURA, TANGO2, EMC1, GNB5, ATAD3A, and MIPEP) and increased the number of novel genes, defined in this study as genes identified in more than one family (DHX30 and EBF3). Conclusion An efficient genomics pipeline in which clinical sequencing in a diagnostic laboratory is followed by the detailed reanalysis of unsolved cases in a research environment, supplemented with WES data from additional family members, and subject to adjuvant bioinformatics analyses including relaxed variant filtering parameters in informatics pipelines, can enhance the molecular diagnostic yield and provide mechanistic insights into Mendelian disorders. Implementing these approaches requires collaborative clinical molecular diagnostic and research efforts. Electronic supplementary material The online version of this article (doi:10.1186/s13073-017-0412-6) contains supplementary material, which is available to authorized users.

Details

ISSN :
1756994X
Volume :
9
Database :
OpenAIRE
Journal :
Genome Medicine
Accession number :
edsair.doi.dedup.....76bc643ba906b899385e61a31ebded4d