Literature DB >> 27441994

Systematic reanalysis of clinical exome data yields additional diagnoses: implications for providers.

Aaron M Wenger1, Harendra Guturu1, Jonathan A Bernstein1, Gill Bejerano1,2,3.   

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.

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Year:  2016        PMID: 27441994     DOI: 10.1038/gim.2016.88

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  31 in total

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Journal:  Lancet       Date:  2012-09-27       Impact factor: 79.321

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Journal:  Nat Genet       Date:  2015-10-05       Impact factor: 38.330

10.  Clinical application of whole-exome sequencing across clinical indications.

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Journal:  Genet Med       Date:  2015-12-03       Impact factor: 8.822

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  101 in total

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3.  FHIR Lab Reports: using SMART on FHIR and CDS Hooks to increase the clinical utility of pharmacogenomic laboratory test results.

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4.  Systematic reanalysis of genomic data improves quality of variant interpretation.

Authors:  S M Hiatt; M D Amaral; K M Bowling; C R Finnila; M L Thompson; D E Gray; J M J Lawlor; J N Cochran; E M Bebin; K B Brothers; K M East; W V Kelley; N E Lamb; S E Levy; E J Lose; M B Neu; C A Rich; S Simmons; R M Myers; G S Barsh; G M Cooper
Journal:  Clin Genet       Date:  2018-05-10       Impact factor: 4.438

Review 5.  New technologies to uncover the molecular basis of disorders of sex development.

Authors:  Hayk Barseghyan; Emmanuèle C Délot; Eric Vilain
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6.  Increased diagnostic and new genes identification outcome using research reanalysis of singleton exome sequencing.

Authors:  Ange-Line Bruel; Sophie Nambot; Virginie Quéré; Antonio Vitobello; Julien Thevenon; Mirna Assoum; Sébastien Moutton; Nada Houcinat; Daphné Lehalle; Nolwenn Jean-Marçais; Martin Chevarin; Thibaud Jouan; Charlotte Poë; Patrick Callier; Emilie Tisserand; Christophe Philippe; Frédéric Tran Mau Them; Yannis Duffourd; Laurence Faivre; Christel Thauvin-Robinet
Journal:  Eur J Hum Genet       Date:  2019-06-23       Impact factor: 4.246

7.  A head-to-head evaluation of the diagnostic efficacy and costs of trio versus singleton exome sequencing analysis.

Authors:  Tiong Yang Tan; Sebastian Lunke; Belinda Chong; Dean Phelan; Miriam Fanjul-Fernandez; Justine E Marum; Vanessa Siva Kumar; Zornitza Stark; Alison Yeung; Natasha J Brown; Chloe Stutterd; Martin B Delatycki; Simon Sadedin; Melissa Martyn; Ilias Goranitis; Natalie Thorne; Clara L Gaff; Susan M White
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8.  Analyzing and Reanalyzing the Genome: Findings from the MedSeq Project.

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Journal:  Am J Hum Genet       Date:  2019-06-27       Impact factor: 11.025

9.  Unique bioinformatic approach and comprehensive reanalysis improve diagnostic yield of clinical exomes.

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Journal:  Eur J Hum Genet       Date:  2019-04-12       Impact factor: 4.246

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Authors:  Thomas Hays; Emily E Groopman; Ali G Gharavi
Journal:  Kidney Int       Date:  2020-04-24       Impact factor: 10.612

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