Genome sequencing as a generic diagnostic strategy for rare disease

Author:

Schobers GabyORCID,Derks RonnyORCID,den Ouden AmberORCID,Swinkels Hilde,van Reeuwijk JeroenORCID,Bosgoed Ermanno,Lugtenberg DorienORCID,Sun Su Ming,Corominas Galbany JordiORCID,Weiss MarjanORCID,Blok Marinus J.ORCID,Olde Keizer Richelle A.C.M.ORCID,Hofste Tom,Hellebrekers DebbyORCID,de Leeuw NicoleORCID,Stegmann AlexanderORCID,Kamsteeg Erik-JanORCID,Paulussen Aimee D.C.ORCID,Ligtenberg Marjolijn J.L.ORCID,Bradley Xiangqun Zheng,Peden John,Gutierrez Alejandra,Pullen Adam,Payne Tom,Gilissen ChristianORCID,van den Wijngaard Arthur,Brunner Han G.ORCID,Nelen MarcelORCID,Yntema Helger G.ORCID,Vissers Lisenka E.L.M.ORCID

Abstract

AbstractBackgroundTo diagnose the full spectrum of hereditary and congenital diseases, genetic laboratories use many different workflows, ranging from karyotyping to exome sequencing. A single generic high-throughput workflow would greatly increase efficiency. We assessed whether genome sequencing (GS) can replace these existing workflows aimed at germline genetic diagnosis for rare disease.MethodsWe performed GS (NovaSeq6000; 37x mean coverage) on 1,000 cases with 1,271 known clinically relevant variants, identified across different workflows, representative of our tertiary diagnostic centers. Variants were categorized into small variants (single nucleotide variants and indels <50 bp), large variants (copy number variants and short tandem repeats) and other variants (structural variants and aneuploidies). Variant calling format files were queried per variant, from which workflow-specific true positive rates (TPRs) for detection were determined. A TPR of ≥98% was considered the lower threshold for transition to GS. A GS-first scenario was generated for our laboratory, using diagnostic efficacy and predicted false negative as primary outcome measures. As input, we modeled the diagnostic path for all 24,570 individuals referred in 2022, combining the clinical referral, the transition of the underlying workflow(s) to GS, and the variant type(s) to be detected.ResultsOverall, 95% (1,206/1,271) of variants were detected. Detection rates differed per variant category: small variants in 96% (826/860), large variants in 93% (341/366), and other variants in 87% (39/45). TPRs varied between workflows (79-100%), with 7/10 being replaceable by GS. Models for our laboratory indicate that a GS-first strategy would be feasible for 84.9% of clinical referrals (750/883), translating to 71% of all individuals (17,444/24,570) receiving GS as their primary test. An estimated false negative rate of 0.3% could be expected.ConclusionGS can capture clinically relevant germline variants in a ‘GS-first strategy’ for the majority of clinical indications in a genetics diagnostic lab.

Publisher

Cold Spring Harbor Laboratory

Reference47 articles.

1. Rare single gene disorders: estimating baseline prevalence and outcomes worldwide;Journal of Community Genetics,2018

2. Genome-Wide Sequencing for Unexplained Developmental Disabilities or Multiple Congenital Anomalies: A Health Technology Assessment;Ont Health Technol Assess Ser,2020

3. Molecular genetic testing and the future of clinical genomics

4. Qualitative assessment of FMR1 (CGG)n triplet repeat status in normal, intermediate, premutation, full mutation, and mosaic carriers in both sexes: Implications for fragile X syndrome carrier and newborn screening

5. Prenatal genetic diagnosis of omphalocele by karyotyping, chromosomal microarray analysis and exome sequencing;Ann Med,2021

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