Lessons learned from additional research analyses of unsolved clinical exome cases

dc.contributor.authorEldomery, Mohammad K.
dc.contributor.authorCoban-Akdemir, Zeynep
dc.contributor.authorHarel, Tamar
dc.contributor.authorRosenfeld, Jill A.
dc.contributor.authorGambin, Tomasz
dc.contributor.authorStray-Pedersen, Asbjørg
dc.contributor.authorKüry, Sébastien
dc.contributor.authorMercier, Sandra
dc.contributor.authorLessel, Davor
dc.contributor.authorDenecke, Jonas
dc.contributor.authorWiszniewski, Wojciech
dc.contributor.authorPenney, Samantha
dc.contributor.authorLiu, Pengfei
dc.contributor.authorBi, Weimin
dc.contributor.authorLalani, Seema R.
dc.contributor.authorSchaaf, Christian P.
dc.contributor.authorWangler, Michael F.
dc.contributor.authorBacino, Carlos A.
dc.contributor.authorLewis, Richard Alan
dc.contributor.authorPotocki, Lorraine
dc.contributor.authorGraham, Brett H.
dc.contributor.authorBelmont, John W.
dc.contributor.authorScaglia, Fernando
dc.contributor.authorOrange, Jordan S.
dc.contributor.authorJhangiani, Shalini N.
dc.contributor.authorChiang, Theodore
dc.contributor.authorDoddapaneni, Harsha
dc.contributor.authorHu, Jianhong
dc.contributor.authorMuzny, Donna M.
dc.contributor.authorXia, Fan
dc.contributor.authorBeaudet, Arthur L.
dc.contributor.authorBoerwinkle, Eric
dc.contributor.authorEng, Christine M.
dc.contributor.authorPlon, Sharon E.
dc.contributor.authorSutton, V. Reid
dc.contributor.authorGibbs, Richard A.
dc.contributor.authorPosey, Jennifer E.
dc.contributor.authorYang, Yaping
dc.contributor.authorLupski, James R.
dc.contributor.departmentDepartment of Pathology and Laboratory Medicine, IU School of Medicineen_US
dc.date.accessioned2017-07-31T18:52:51Z
dc.date.available2017-07-31T18:52:51Z
dc.date.issued2017-03-21
dc.description.abstractBACKGROUND: 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.en_US
dc.identifier.citationEldomery, M. K., Coban-Akdemir, Z., Harel, T., Rosenfeld, J. A., Gambin, T., Stray-Pedersen, A., … Lupski, J. R. (2017). Lessons learned from additional research analyses of unsolved clinical exome cases. Genome Medicine, 9, 26. http://doi.org/10.1186/s13073-017-0412-6en_US
dc.identifier.urihttps://hdl.handle.net/1805/13676
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionof10.1186/s13073-017-0412-6en_US
dc.relation.journalGenome Medicineen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.sourcePMCen_US
dc.subjectSingle-gene Mendelian disordersen_US
dc.subjectData exchangeen_US
dc.subjectMolecular diagnosisen_US
dc.subjectNovel disease gene discoveryen_US
dc.titleLessons learned from additional research analyses of unsolved clinical exome casesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
13073_2017_Article_412.pdf
Size:
1.15 MB
Format:
Adobe Portable Document Format
Description:
Research
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.88 KB
Format:
Item-specific license agreed upon to submission
Description: