Aaron M Wenger1, Harendra Guturu1, Jonathan A Bernstein1, Gill Bejerano1,2,3. 1. Department of Pediatrics, Stanford University, Stanford, California, USA. 2. Department of Computer Science, Stanford University, Stanford, California, USA. 3. Department of Developmental Biology, Stanford University, Stanford, California, USA.
Abstract
PURPOSE: Clinical exome sequencing is nondiagnostic for about 75% of patients evaluated for a possible Mendelian disorder. We examined the ability of systematic reevaluation of exome data to establish additional diagnoses. METHODS: The exome and phenotypic data of 40 individuals with previously nondiagnostic clinical exomes were reanalyzed with current software and literature. RESULTS: A definitive diagnosis was identified for 4 of 40 participants (10%). In these cases the causative variant is de novo and in a relevant autosomal-dominant disease gene. The literature to tie the causative genes to the participants' phenotypes was weak, nonexistent, or not readily located at the time of the initial clinical exome reports. At the time of diagnosis by reanalysis, the supporting literature was 1 to 3 years old. CONCLUSION: Approximately 250 gene-disease and 9,200 variant-disease associations are reported annually. This increase in information necessitates regular reevaluation of nondiagnostic exomes. To be practical, systematic reanalysis requires further automation and more up-to-date variant databases. To maximize the diagnostic yield of exome sequencing, providers should periodically request reanalysis of nondiagnostic exomes. Accordingly, policies regarding reanalysis should be weighed in combination with factors such as cost and turnaround time when selecting a clinical exome laboratory.Genet Med 19 2, 209-214.
PURPOSE: Clinical exome sequencing is nondiagnostic for about 75% of patients evaluated for a possible Mendelian disorder. We examined the ability of systematic reevaluation of exome data to establish additional diagnoses. METHODS: The exome and phenotypic data of 40 individuals with previously nondiagnostic clinical exomes were reanalyzed with current software and literature. RESULTS: A definitive diagnosis was identified for 4 of 40 participants (10%). In these cases the causative variant is de novo and in a relevant autosomal-dominant disease gene. The literature to tie the causative genes to the participants' phenotypes was weak, nonexistent, or not readily located at the time of the initial clinical exome reports. At the time of diagnosis by reanalysis, the supporting literature was 1 to 3 years old. CONCLUSION: Approximately 250 gene-disease and 9,200 variant-disease associations are reported annually. This increase in information necessitates regular reevaluation of nondiagnostic exomes. To be practical, systematic reanalysis requires further automation and more up-to-date variant databases. To maximize the diagnostic yield of exome sequencing, providers should periodically request reanalysis of nondiagnostic exomes. Accordingly, policies regarding reanalysis should be weighed in combination with factors such as cost and turnaround time when selecting a clinical exome laboratory.Genet Med 19 2, 209-214.
Authors: William A Baumgartner; K Bretonnel Cohen; Lynne M Fox; George Acquaah-Mensah; Lawrence Hunter Journal: Bioinformatics Date: 2007-07-01 Impact factor: 6.937
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Authors: Seema M Jamal; Joon-Ho Yu; Jessica X Chong; Karin M Dent; Jessie H Conta; Holly K Tabor; Michael J Bamshad Journal: Am J Med Genet A Date: 2013-05 Impact factor: 2.802
Authors: Ivan Iossifov; Brian J O'Roak; Stephan J Sanders; Michael Ronemus; Niklas Krumm; Dan Levy; Holly A Stessman; Kali T Witherspoon; Laura Vives; Karynne E Patterson; Joshua D Smith; Bryan Paeper; Deborah A Nickerson; Jeanselle Dea; Shan Dong; Luis E Gonzalez; Jeffrey D Mandell; Shrikant M Mane; Michael T Murtha; Catherine A Sullivan; Michael F Walker; Zainulabedin Waqar; Liping Wei; A Jeremy Willsey; Boris Yamrom; Yoon-ha Lee; Ewa Grabowska; Ertugrul Dalkic; Zihua Wang; Steven Marks; Peter Andrews; Anthony Leotta; Jude Kendall; Inessa Hakker; Julie Rosenbaum; Beicong Ma; Linda Rodgers; Jennifer Troge; Giuseppe Narzisi; Seungtai Yoon; Michael C Schatz; Kenny Ye; W Richard McCombie; Jay Shendure; Evan E Eichler; Matthew W State; Michael Wigler Journal: Nature Date: 2014-10-29 Impact factor: 69.504
Authors: Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis Journal: Nature Date: 2015-10-01 Impact factor: 49.962
Authors: Andrew Yates; Wasiu Akanni; M Ridwan Amode; Daniel Barrell; Konstantinos Billis; Denise Carvalho-Silva; Carla Cummins; Peter Clapham; Stephen Fitzgerald; Laurent Gil; Carlos García Girón; Leo Gordon; Thibaut Hourlier; Sarah E Hunt; Sophie H Janacek; Nathan Johnson; Thomas Juettemann; Stephen Keenan; Ilias Lavidas; Fergal J Martin; Thomas Maurel; William McLaren; Daniel N Murphy; Rishi Nag; Michael Nuhn; Anne Parker; Mateus Patricio; Miguel Pignatelli; Matthew Rahtz; Harpreet Singh Riat; Daniel Sheppard; Kieron Taylor; Anja Thormann; Alessandro Vullo; Steven P Wilder; Amonida Zadissa; Ewan Birney; Jennifer Harrow; Matthieu Muffato; Emily Perry; Magali Ruffier; Giulietta Spudich; Stephen J Trevanion; Fiona Cunningham; Bronwen L Aken; Daniel R Zerbino; Paul Flicek Journal: Nucleic Acids Res Date: 2015-12-19 Impact factor: 16.971
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