TY - JOUR
T1 - Lessons learned from additional research analyses of unsolved clinical exome cases
AU - Eldomery, Mohammad K.
AU - Coban-Akdemir, Zeynep
AU - Harel, Tamar
AU - Rosenfeld, Jill A.
AU - Gambin, Tomasz
AU - Stray-Pedersen, Asbjørg
AU - Küry, Sébastien
AU - Mercier, Sandra
AU - Lessel, Davor
AU - Denecke, Jonas
AU - Wiszniewski, Wojciech
AU - Penney, Samantha
AU - Liu, Pengfei
AU - Bi, Weimin
AU - Lalani, Seema R.
AU - Schaaf, Christian P.
AU - Wangler, Michael F.
AU - Bacino, Carlos A.
AU - Lewis, Richard Alan
AU - Potocki, Lorraine
AU - Graham, Brett H.
AU - Belmont, John W.
AU - Scaglia, Fernando
AU - Orange, Jordan S.
AU - Jhangiani, Shalini N.
AU - Chiang, Theodore
AU - Doddapaneni, Harsha
AU - Hu, Jianhong
AU - Muzny, Donna M.
AU - Xia, Fan
AU - Beaudet, Arthur L.
AU - Boerwinkle, Eric
AU - Eng, Christine M.
AU - Plon, Sharon E.
AU - Sutton, V. Reid
AU - Gibbs, Richard A.
AU - Posey, Jennifer E.
AU - Yang, Yaping
AU - Lupski, James R.
N1 - Funding Information:
This work was funded in part by the US National Human Genome Research Institute (NHGRI)/National Heart Lung and Blood Institute (NHLBI) grant number UM1HG006542 to the Baylor-Hopkins Center for Mendelian Genomics (BHCMG). TH and JEP are supported by the NIH T32 GM07526 Medical Genetics Research Fellowship Program. JEP is supported by a Chao Physician-Scientist Award through the Ting Tsung and Wei Fong Chao Foundation. WW was supported by Career Development Award K23NS078056 from the US National Institute of Neurological Disease and Stroke (NINDS). The Western France consortium HUGODIMS, was supported by a grant from the French Ministry of Health and from the Health Regional Agency from Poitou-Charentes (HUGODIMS, 2013, RC14_0107). RAL is supported in part by the Genetics Resource Association of Texas (GReAT), Houston, Texas.
Publisher Copyright:
© 2017 The Author(s).
PY - 2017/3/21
Y1 - 2017/3/21
N2 - 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.
AB - 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.
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U2 - 10.1186/s13073-017-0412-6
DO - 10.1186/s13073-017-0412-6
M3 - Article
C2 - 28327206
AN - SCOPUS:85016107847
SN - 1756-994X
VL - 9
JO - Genome Medicine
JF - Genome Medicine
IS - 1
M1 - 26
ER -