Re-analysis of whole-exome sequencing data uncovers novel diagnostic variants and improves molecular diagnostic yields for sudden death and idiopathic diseases.


Journal

Genome medicine
ISSN: 1756-994X
Titre abrégé: Genome Med
Pays: England
ID NLM: 101475844

Informations de publication

Date de publication:
17 12 2019
Historique:
received: 05 09 2019
accepted: 03 12 2019
entrez: 19 12 2019
pubmed: 19 12 2019
medline: 15 5 2020
Statut: epublish

Résumé

Whole-exome sequencing (WES) has become an efficient diagnostic test for patients with likely monogenic conditions such as rare idiopathic diseases or sudden unexplained death. Yet, many cases remain undiagnosed. Here, we report the added diagnostic yield achieved for 101 WES cases re-analyzed 1 to 7 years after initial analysis. Of the 101 WES cases, 51 were rare idiopathic disease cases and 50 were postmortem "molecular autopsy" cases of early sudden unexplained death. Variants considered for reporting were prioritized and classified into three groups: (1) diagnostic variants, pathogenic and likely pathogenic variants in genes known to cause the phenotype of interest; (2) possibly diagnostic variants, possibly pathogenic variants in genes known to cause the phenotype of interest or pathogenic variants in genes possibly causing the phenotype of interest; and (3) variants of uncertain diagnostic significance, potentially deleterious variants in genes possibly causing the phenotype of interest. Initial analysis revealed diagnostic variants in 13 rare disease cases (25.4%) and 5 sudden death cases (10%). Re-analysis resulted in the identification of additional diagnostic variants in 3 rare disease cases (5.9%) and 1 sudden unexplained death case (2%), which increased our molecular diagnostic yield to 31.4% and 12%, respectively. The basis of new findings ranged from improvement in variant classification tools, updated genetic databases, and updated clinical phenotypes. Our findings highlight the potential for re-analysis to reveal diagnostic variants in cases that remain undiagnosed after initial WES.

Sections du résumé

BACKGROUND
Whole-exome sequencing (WES) has become an efficient diagnostic test for patients with likely monogenic conditions such as rare idiopathic diseases or sudden unexplained death. Yet, many cases remain undiagnosed. Here, we report the added diagnostic yield achieved for 101 WES cases re-analyzed 1 to 7 years after initial analysis.
METHODS
Of the 101 WES cases, 51 were rare idiopathic disease cases and 50 were postmortem "molecular autopsy" cases of early sudden unexplained death. Variants considered for reporting were prioritized and classified into three groups: (1) diagnostic variants, pathogenic and likely pathogenic variants in genes known to cause the phenotype of interest; (2) possibly diagnostic variants, possibly pathogenic variants in genes known to cause the phenotype of interest or pathogenic variants in genes possibly causing the phenotype of interest; and (3) variants of uncertain diagnostic significance, potentially deleterious variants in genes possibly causing the phenotype of interest.
RESULTS
Initial analysis revealed diagnostic variants in 13 rare disease cases (25.4%) and 5 sudden death cases (10%). Re-analysis resulted in the identification of additional diagnostic variants in 3 rare disease cases (5.9%) and 1 sudden unexplained death case (2%), which increased our molecular diagnostic yield to 31.4% and 12%, respectively.
CONCLUSIONS
The basis of new findings ranged from improvement in variant classification tools, updated genetic databases, and updated clinical phenotypes. Our findings highlight the potential for re-analysis to reveal diagnostic variants in cases that remain undiagnosed after initial WES.

Identifiants

pubmed: 31847883
doi: 10.1186/s13073-019-0702-2
pii: 10.1186/s13073-019-0702-2
pmc: PMC6916453
doi:

Substances chimiques

Myosin Light Chains 0
UBE3B protein, human EC 2.3.2.26
Ubiquitin-Protein Ligases EC 2.3.2.27
CANT1 protein, human EC 3.1.3.-
Nucleotidases EC 3.1.3.-
Adenosine Deaminase EC 3.5.4.4

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

83

Subventions

Organisme : NIH-NCATS Clinical and Translational Science Award
ID : 5 UL1 TR001114
Pays : International
Organisme : National Center for Data to Health
ID : U24TR002306
Pays : International
Organisme : NCRR NIH HHS
ID : UL1 RR025774
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG006476
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM114833
Pays : United States

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Auteurs

Elias L Salfati (EL)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA.

Emily G Spencer (EG)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA.

Sarah E Topol (SE)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA.

Evan D Muse (ED)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA.
Division of Cardiology, Scripps Clinic, La Jolla, CA, USA.

Manuel Rueda (M)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA.

Jonathan R Lucas (JR)

Los Angeles County Department of Medical Examiner-Coroner, Los Angeles, CA, USA.

Glenn N Wagner (GN)

San Diego County Medical Examiner's Office, San Diego, CA, USA.

Steven Campman (S)

San Diego County Medical Examiner's Office, San Diego, CA, USA.

Eric J Topol (EJ)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA.
Division of Cardiology, Scripps Clinic, La Jolla, CA, USA.

Ali Torkamani (A)

Scripps Research Translational Institute at Scripps Research, La Jolla, CA, USA. atorkama@scripps.edu.

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