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author Eldomery, Mohammad K.
Coban-Akdemir, Zeynep
Harel, Tamar
Rosenfeld, Jill A.
Gambin, Tomasz
Stray-Pedersen, Asbjørg
Küry, Sébastien
Mercier, Sandra
Lessel, Davor
Denecke, Jonas
Wiszniewski, Wojciech
Penney, Samantha
Liu, Pengfei
Bi, Weimin
Lalani, Seema R.
Schaaf, Christian P.
Wangler, Michael F.
Bacino, Carlos A.
Lewis, Richard Alan
Potocki, Lorraine
Graham, Brett H.
Belmont, John W.
Scaglia, Fernando
Orange, Jordan S.
Jhangiani, Shalini N.
Chiang, Theodore
Doddapaneni, Harsha
Hu, Jianhong
Muzny, Donna M.
Xia, Fan
Beaudet, Arthur L.
Boerwinkle, Eric
Eng, Christine M.
Plon, Sharon E.
Sutton, V. Reid
Gibbs, Richard A.
Posey, Jennifer E.
Yang, Yaping
Lupski, James R.
author_facet Eldomery, Mohammad K.
Coban-Akdemir, Zeynep
Harel, Tamar
Rosenfeld, Jill A.
Gambin, Tomasz
Stray-Pedersen, Asbjørg
Küry, Sébastien
Mercier, Sandra
Lessel, Davor
Denecke, Jonas
Wiszniewski, Wojciech
Penney, Samantha
Liu, Pengfei
Bi, Weimin
Lalani, Seema R.
Schaaf, Christian P.
Wangler, Michael F.
Bacino, Carlos A.
Lewis, Richard Alan
Potocki, Lorraine
Graham, Brett H.
Belmont, John W.
Scaglia, Fernando
Orange, Jordan S.
Jhangiani, Shalini N.
Chiang, Theodore
Doddapaneni, Harsha
Hu, Jianhong
Muzny, Donna M.
Xia, Fan
Beaudet, Arthur L.
Boerwinkle, Eric
Eng, Christine M.
Plon, Sharon E.
Sutton, V. Reid
Gibbs, Richard A.
Posey, Jennifer E.
Yang, Yaping
Lupski, James R.
author_sort Eldomery, Mohammad K.
collection PubMed
description 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.
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spelling pubmed-53618132017-03-24 Lessons learned from additional research analyses of unsolved clinical exome cases Eldomery, Mohammad K. Coban-Akdemir, Zeynep Harel, Tamar Rosenfeld, Jill A. Gambin, Tomasz Stray-Pedersen, Asbjørg Küry, Sébastien Mercier, Sandra Lessel, Davor Denecke, Jonas Wiszniewski, Wojciech Penney, Samantha Liu, Pengfei Bi, Weimin Lalani, Seema R. Schaaf, Christian P. Wangler, Michael F. Bacino, Carlos A. Lewis, Richard Alan Potocki, Lorraine Graham, Brett H. Belmont, John W. Scaglia, Fernando Orange, Jordan S. Jhangiani, Shalini N. Chiang, Theodore Doddapaneni, Harsha Hu, Jianhong Muzny, Donna M. Xia, Fan Beaudet, Arthur L. Boerwinkle, Eric Eng, Christine M. Plon, Sharon E. Sutton, V. Reid Gibbs, Richard A. Posey, Jennifer E. Yang, Yaping Lupski, James R. Genome Med Research 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. BioMed Central 2017-03-21 /pmc/articles/PMC5361813/ /pubmed/28327206 http://dx.doi.org/10.1186/s13073-017-0412-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Eldomery, Mohammad K.
Coban-Akdemir, Zeynep
Harel, Tamar
Rosenfeld, Jill A.
Gambin, Tomasz
Stray-Pedersen, Asbjørg
Küry, Sébastien
Mercier, Sandra
Lessel, Davor
Denecke, Jonas
Wiszniewski, Wojciech
Penney, Samantha
Liu, Pengfei
Bi, Weimin
Lalani, Seema R.
Schaaf, Christian P.
Wangler, Michael F.
Bacino, Carlos A.
Lewis, Richard Alan
Potocki, Lorraine
Graham, Brett H.
Belmont, John W.
Scaglia, Fernando
Orange, Jordan S.
Jhangiani, Shalini N.
Chiang, Theodore
Doddapaneni, Harsha
Hu, Jianhong
Muzny, Donna M.
Xia, Fan
Beaudet, Arthur L.
Boerwinkle, Eric
Eng, Christine M.
Plon, Sharon E.
Sutton, V. Reid
Gibbs, Richard A.
Posey, Jennifer E.
Yang, Yaping
Lupski, James R.
Lessons learned from additional research analyses of unsolved clinical exome cases
title Lessons learned from additional research analyses of unsolved clinical exome cases
title_full Lessons learned from additional research analyses of unsolved clinical exome cases
title_fullStr Lessons learned from additional research analyses of unsolved clinical exome cases
title_full_unstemmed Lessons learned from additional research analyses of unsolved clinical exome cases
title_short Lessons learned from additional research analyses of unsolved clinical exome cases
title_sort lessons learned from additional research analyses of unsolved clinical exome cases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361813/
https://www.ncbi.nlm.nih.gov/pubmed/28327206
http://dx.doi.org/10.1186/s13073-017-0412-6
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