Literature DB >> 33132082

Detection of Copy Number Variants by Short Multiply Aggregated Sequence Homologies.

Vaidehi Jobanputra1, Peter Andrews2, Vanessa Felice3, Avinash Abhyankar3, Lukasz Kozon3, Dino Robinson3, Ferrah London3, Inessa Hakker2, Kazimierz Wrzeszczynski3, Michael Ronemus4.   

Abstract

Chromosomal microarray testing is indicated for patients with diagnoses including unexplained developmental delay or intellectual disability, autism spectrum disorders, and multiple congenital anomalies. The short multiply aggregated sequence homologies (SMASH) genomic assay is a novel next-generation sequencing technology that performs copy number analysis at resolution similar to high-coverage whole genome sequencing but requires far less capacity. We benchmarked the performance of SMASH on a panel of genomic DNAs containing known copy number variants (CNVs). SMASH was able to detect pathogenic copy number variants of ≥10 kb in 77 of 77 samples. No pathogenic events were seen in 32 of 32 controls, indicating 100% sensitivity and specificity for detecting pathogenic CNVs >10 kb. Repeatability (interassay precision) and reproducibility (intra-assay precision) were assessed with 13 samples and showed perfect concordance. We also established that SMASH had a limit of detection of 20% for detection of large mosaic CNVs. Finally, we analyzed seven blinded specimens by SMASH analysis and successfully identified all pathogenic events. These results establish the efficacy of the SMASH genomic assay as a clinical test for the detection of pathogenic copy number variants at a resolution comparable to chromosomal microarray analysis.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 33132082      PMCID: PMC7722526          DOI: 10.1016/j.jmoldx.2020.09.009

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  25 in total

1.  Reducing system noise in copy number data using principal components of self-self hybridizations.

Authors:  Yoon-ha Lee; Michael Ronemus; Jude Kendall; B Lakshmi; Anthony Leotta; Dan Levy; Diane Esposito; Vladimir Grubor; Kenny Ye; Michael Wigler; Boris Yamrom
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-29       Impact factor: 11.205

2.  Microarray analysis for constitutional cytogenetic abnormalities.

Authors:  Lisa G Shaffer; Arthur L Beaudet; Arthur R Brothman; Betsy Hirsch; Brynn Levy; Christa Lese Martin; James T Mascarello; Kathleen W Rao
Journal:  Genet Med       Date:  2007-09       Impact factor: 8.822

3.  Application of ROMA (representational oligonucleotide microarray analysis) to patients with cytogenetic rearrangements.

Authors:  Vaidehi Jobanputra; Jonathan Sebat; Jennifer Troge; Wendy Chung; Kwame Anyane-Yeboa; Michael Wigler; Dorothy Warburton
Journal:  Genet Med       Date:  2005-02       Impact factor: 8.822

Review 4.  Chromosomal Microarrays: Understanding Genetics of Neurodevelopmental Disorders and Congenital Anomalies.

Authors:  Jill A Rosenfeld; Ankita Patel
Journal:  J Pediatr Genet       Date:  2016-05-30

Review 5.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

6.  Assuring the quality of next-generation sequencing in clinical laboratory practice.

Authors:  Amy S Gargis; Lisa Kalman; Meredith W Berry; David P Bick; David P Dimmock; Tina Hambuch; Fei Lu; Elaine Lyon; Karl V Voelkerding; Barbara A Zehnbauer; Richa Agarwala; Sarah F Bennett; Bin Chen; Ephrem L H Chin; John G Compton; Soma Das; Daniel H Farkas; Matthew J Ferber; Birgit H Funke; Manohar R Furtado; Lilia M Ganova-Raeva; Ute Geigenmüller; Sandra J Gunselman; Madhuri R Hegde; Philip L F Johnson; Andrew Kasarskis; Shashikant Kulkarni; Thomas Lenk; C S Jonathan Liu; Megan Manion; Teri A Manolio; Elaine R Mardis; Jason D Merker; Mangalathu S Rajeevan; Martin G Reese; Heidi L Rehm; Birgitte B Simen; Joanne M Yeakley; Justin M Zook; Ira M Lubin
Journal:  Nat Biotechnol       Date:  2012-11       Impact factor: 54.908

7.  The contribution of de novo and rare inherited copy number changes to congenital heart disease in an unselected sample of children with conotruncal defects or hypoplastic left heart disease.

Authors:  Dorothy Warburton; Michael Ronemus; Jennie Kline; Vaidehi Jobanputra; Ismee Williams; Kwame Anyane-Yeboa; Wendy Chung; Lan Yu; Nancy Wong; Danielle Awad; Chih-Yu Yu; Anthony Leotta; Jude Kendall; Boris Yamrom; Yoon-Ha Lee; Michael Wigler; Dan Levy
Journal:  Hum Genet       Date:  2013-08-25       Impact factor: 4.132

8.  Patterns of homozygosity in patients with uniparental disomy: detection rate and suggested reporting thresholds for SNP microarrays.

Authors:  Nicole Hoppman; Kandelaria Rumilla; Emily Lauer; Hutton Kearney; Erik Thorland
Journal:  Genet Med       Date:  2018-03-22       Impact factor: 8.822

9.  Factors influencing success of clinical genome sequencing across a broad spectrum of disorders.

Authors:  Jenny C Taylor; Hilary C Martin; Stefano Lise; John Broxholme; Jean-Baptiste Cazier; Andy Rimmer; Alexander Kanapin; Gerton Lunter; Simon Fiddy; Chris Allan; A Radu Aricescu; Moustafa Attar; Christian Babbs; Jennifer Becq; David Beeson; Celeste Bento; Patricia Bignell; Edward Blair; Veronica J Buckle; Katherine Bull; Ondrej Cais; Holger Cario; Helen Chapel; Richard R Copley; Richard Cornall; Jude Craft; Karin Dahan; Emma E Davenport; Calliope Dendrou; Olivier Devuyst; Aimée L Fenwick; Jonathan Flint; Lars Fugger; Rodney D Gilbert; Anne Goriely; Angie Green; Ingo H Greger; Russell Grocock; Anja V Gruszczyk; Robert Hastings; Edouard Hatton; Doug Higgs; Adrian Hill; Chris Holmes; Malcolm Howard; Linda Hughes; Peter Humburg; David Johnson; Fredrik Karpe; Zoya Kingsbury; Usha Kini; Julian C Knight; Jonathan Krohn; Sarah Lamble; Craig Langman; Lorne Lonie; Joshua Luck; Davis McCarthy; Simon J McGowan; Mary Frances McMullin; Kerry A Miller; Lisa Murray; Andrea H Németh; M Andrew Nesbit; David Nutt; Elizabeth Ormondroyd; Annette Bang Oturai; Alistair Pagnamenta; Smita Y Patel; Melanie Percy; Nayia Petousi; Paolo Piazza; Sian E Piret; Guadalupe Polanco-Echeverry; Niko Popitsch; Fiona Powrie; Chris Pugh; Lynn Quek; Peter A Robbins; Kathryn Robson; Alexandra Russo; Natasha Sahgal; Pauline A van Schouwenburg; Anna Schuh; Earl Silverman; Alison Simmons; Per Soelberg Sørensen; Elizabeth Sweeney; John Taylor; Rajesh V Thakker; Ian Tomlinson; Amy Trebes; Stephen Rf Twigg; Holm H Uhlig; Paresh Vyas; Tim Vyse; Steven A Wall; Hugh Watkins; Michael P Whyte; Lorna Witty; Ben Wright; Chris Yau; David Buck; Sean Humphray; Peter J Ratcliffe; John I Bell; Andrew Om Wilkie; David Bentley; Peter Donnelly; Gilean McVean
Journal:  Nat Genet       Date:  2015-05-18       Impact factor: 38.330

10.  Chromosomal microarray analysis in developmental delay and intellectual disability with comorbid conditions.

Authors:  Yanjie Fan; Yanming Wu; Lili Wang; Yu Wang; Zhuwen Gong; Wenjuan Qiu; Jingmin Wang; Huiwen Zhang; Xing Ji; Jun Ye; Lianshu Han; Xingming Jin; Yongnian Shen; Fei Li; Bing Xiao; Lili Liang; Xia Zhang; Xiaomin Liu; Xuefan Gu; Yongguo Yu
Journal:  BMC Med Genomics       Date:  2018-05-24       Impact factor: 3.063

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