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A comprehensive iterative approach is highly effective in diagnosing individuals who are exome negative

  • Vandana Shashi
  • , Kelly Schoch
  • , Rebecca Spillmann
  • , Heidi Cope
  • , Queenie K.G. Tan
  • , Nicole Walley
  • , Loren Pena
  • , Allyn McConkie-Rosell
  • , Yong Hui Jiang
  • , Nicholas Stong
  • , Anna C. Need
  • , David B. Goldstein
  • , David R. Adams
  • , Mercedes E. Alejandro
  • , Patrick Allard
  • , Euan A. Ashley
  • , Mahshid S. Azamian
  • , Carlos A. Bacino
  • , Ashok Balasubramanyam
  • , Hayk Barseghyan
  • Gabriel F. Batzli, Alan H. Beggs, Babak Behnam, Hugo J. Bellen, Jonathan A. Bernstein, Anna Bican, David P. Bick, Camille L. Birch, Devon Bonner, Braden E. Boone, Bret L. Bostwick, Lauren C. Briere, Donna M. Brown, Matthew Brush, Elizabeth A. Burke, Lindsay C. Burrage, Manish J. Butte, Shan Chen, Gary D. Clark, Terra R. Coakley, Joy D. Cogan, Cynthia M. Cooper, Heidi Cope, William J. Craigen, Precilla D’Souza, Mariska Davids, Jean M. Davidson, Jyoti G. Dayal, Esteban C. Dell’Angelica, Mahim Jain
  • Duke University
  • Columbia University
  • Imperial College London

Research output: Contribution to journal › Article › peer-review

71 Scopus citations

Abstract

Purpose: Sixty to seventy-five percent of individuals with rare and undiagnosed phenotypes remain undiagnosed after exome sequencing (ES). With standard ES reanalysis resolving 10–15% of the ES negatives, further approaches are necessary to maximize diagnoses in these individuals. Methods: In 38 ES negative patients an individualized genomic–phenotypic approach was employed utilizing (1) phenotyping; (2) reanalyses of FASTQ files, with innovative bioinformatics; (3) targeted molecular testing; (4) genome sequencing (GS); and (5) conferring of clinical diagnoses when pathognomonic clinical findings occurred. Results: Certain and highly likely diagnoses were made in 18/38 (47%) individuals, including identifying two new developmental disorders. The majority of diagnoses (>70%) were due to our bioinformatics, phenotyping, and targeted testing identifying variants that were undetected or not prioritized on prior ES. GS diagnosed 3/18 individuals with structural variants not amenable to ES. Additionally, tentative diagnoses were made in 3 (8%), and in 5 individuals (13%) candidate genes were identified. Overall, diagnoses/potential leads were identified in 26/38 (68%). Conclusions: Our comprehensive approach to ES negatives maximizes the ES and clinical data for both diagnoses and candidate gene identification, without GS in the majority. This iterative approach is cost-effective and is pertinent to the current conundrum of ES negatives.

Original languageEnglish
Pages (from-to)161-172
Number of pages12
JournalGenetics in Medicine
Volume21
Issue number1
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Exome sequencing
  • Genome sequencing
  • Phenotyping
  • Rare diseases
  • Undiagnosed diseases

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