Logo image
Genome sequencing increases diagnostic yield in clinically diagnosed Alagille syndrome patients with previously negative test results
Journal article   Open access   Peer reviewed

Genome sequencing increases diagnostic yield in clinically diagnosed Alagille syndrome patients with previously negative test results

Ramakrishnan Rajagopalan, Melissa A Gilbert, Deborah A McEldrew, James A Nassur, Kathleen M Loomes, David A Piccoli, Ian D Krantz, Laura K Conlin, Nancy B Spinner and Janell L Mensinger
Genetics in medicine, v 23(2), pp 323-330
Feb 2021
PMID: 33077891
url
http://www.gimjournal.org/article/S1098360021025491/pdfView
Published, Version of Record (VoR) Open
url
https://doi.org/10.1038/s41436-020-00989-8View
Published, Version of Record (VoR) Open

Abstract

Alagille Syndrome - diagnosis Alagille Syndrome - genetics Base Sequence Chromosome Mapping Genetic Testing Humans Jagged-1 Protein - genetics
Detection of all major classes of genomic variants in a single test would decrease cost and increase the efficiency of genomic diagnostics. Genome sequencing (GS) has the potential to provide this level of comprehensive detection. We sought to demonstrate the utility of GS in the molecular diagnosis of 18 patients with clinically defined Alagille syndrome (ALGS), who had a negative or inconclusive result by standard-of-care testing. We performed GS on 16 pathogenic variant-negative probands and two probands with inconclusive results (of 406 ALGS probands) and analyzed the data for sequence, copy-number, and structural variants in JAG1 and NOTCH2. GS identified four novel pathogenic alterations including a copy-neutral inversion, a partial deletion, and a promoter variant in JAG1, and a partial NOTCH2 deletion, for an additional diagnostic yield of 0.9%. Furthermore, GS resolved two complex rearrangements, resulting in identification of a pathogenic variant in 97.5% (n = 396/406) of patients after GS. GS provided an increased diagnostic yield for individuals with clinically defined ALGS who had prior negative or incomplete genetic testing by other methods. Our results show that GS can detect all major classes of variants and has potential to become a single first-tier diagnostic test for Mendelian disorders.

Metrics

3 Record Views
23 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Genetics & Heredity
Logo image