Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders

Abstract Background A subset of developmental disorders (DD) is characterized by disease-specific genome-wide methylation changes. These episignatures inform on the underlying pathogenic mechanisms and can be used to assess the pathogenicity of genomic variants as well as confirm clinical diagnoses....

Full description

Saved in:
Bibliographic Details
Main Authors: Mathilde Geysens, Benjamin Huremagic, Erika Souche, Jeroen Breckpot, Koenraad Devriendt, Hilde Peeters, Griet Van Buggenhout, Hilde Van Esch, Kris Van Den Bogaert, Joris Robert Vermeesch
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Genome Medicine
Subjects:
Online Access:https://doi.org/10.1186/s13073-024-01419-z
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841544454902644736
author Mathilde Geysens
Benjamin Huremagic
Erika Souche
Jeroen Breckpot
Koenraad Devriendt
Hilde Peeters
Griet Van Buggenhout
Hilde Van Esch
Kris Van Den Bogaert
Joris Robert Vermeesch
author_facet Mathilde Geysens
Benjamin Huremagic
Erika Souche
Jeroen Breckpot
Koenraad Devriendt
Hilde Peeters
Griet Van Buggenhout
Hilde Van Esch
Kris Van Den Bogaert
Joris Robert Vermeesch
author_sort Mathilde Geysens
collection DOAJ
description Abstract Background A subset of developmental disorders (DD) is characterized by disease-specific genome-wide methylation changes. These episignatures inform on the underlying pathogenic mechanisms and can be used to assess the pathogenicity of genomic variants as well as confirm clinical diagnoses. Currently, the detection of these episignature requires the use of indirect methylation profiling methodologies. We hypothesized that long-read whole genome sequencing would not only enable the detection of single nucleotide variants and structural variants but also episignatures. Methods Genome-wide nanopore sequencing was performed in 40 controls and 20 patients with confirmed or suspected episignature-associated DD, representing 13 distinct diseases. Following genomic variant and methylome calling, hierarchical clustering and dimensional reduction were used to determine the compatibility with microarray-based episignatures. Subsequently, we developed a support vector machine (SVM) for the detection of each DD. Results Nanopore sequencing-based methylome patterns were concordant with microarray-based episignatures. Our SVM-based classifier identified the episignatures in 17/19 patients with a (likely) pathogenic variant and none of the controls. The remaining patients in which no episignature was identified were also classified as controls by a commercial microarray assay. In addition, we identified all underlying pathogenic single nucleotide and structural variants and showed haplotype-aware skewed X-inactivation evaluation directs clinical interpretation. Conclusion This proof-of-concept study demonstrates nanopore sequencing enables episignature detection. In addition, concurrent haplotyped genomic and epigenomic analyses leverage simultaneous detection of single nucleotide/structural variants, X-inactivation, and imprinting, consolidating a multi-step sequential process into a single diagnostic assay.
format Article
id doaj-art-a9bb5a3f0e4546f5ae9f8e7ee491ff6c
institution Kabale University
issn 1756-994X
language English
publishDate 2025-01-01
publisher BMC
record_format Article
series Genome Medicine
spelling doaj-art-a9bb5a3f0e4546f5ae9f8e7ee491ff6c2025-01-12T12:34:01ZengBMCGenome Medicine1756-994X2025-01-0117111310.1186/s13073-024-01419-zClinical evaluation of long-read sequencing-based episignature detection in developmental disordersMathilde Geysens0Benjamin Huremagic1Erika Souche2Jeroen Breckpot3Koenraad Devriendt4Hilde Peeters5Griet Van Buggenhout6Hilde Van Esch7Kris Van Den Bogaert8Joris Robert Vermeesch9Laboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU LeuvenLaboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU LeuvenLaboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU LeuvenDepartment of Human Genetics, Centre for Human Genetics, University Hospitals LeuvenDepartment of Human Genetics, Centre for Human Genetics, University Hospitals LeuvenDepartment of Human Genetics, Centre for Human Genetics, University Hospitals LeuvenDepartment of Human Genetics, Centre for Human Genetics, University Hospitals LeuvenDepartment of Human Genetics, Centre for Human Genetics, University Hospitals LeuvenLaboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU LeuvenLaboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU LeuvenAbstract Background A subset of developmental disorders (DD) is characterized by disease-specific genome-wide methylation changes. These episignatures inform on the underlying pathogenic mechanisms and can be used to assess the pathogenicity of genomic variants as well as confirm clinical diagnoses. Currently, the detection of these episignature requires the use of indirect methylation profiling methodologies. We hypothesized that long-read whole genome sequencing would not only enable the detection of single nucleotide variants and structural variants but also episignatures. Methods Genome-wide nanopore sequencing was performed in 40 controls and 20 patients with confirmed or suspected episignature-associated DD, representing 13 distinct diseases. Following genomic variant and methylome calling, hierarchical clustering and dimensional reduction were used to determine the compatibility with microarray-based episignatures. Subsequently, we developed a support vector machine (SVM) for the detection of each DD. Results Nanopore sequencing-based methylome patterns were concordant with microarray-based episignatures. Our SVM-based classifier identified the episignatures in 17/19 patients with a (likely) pathogenic variant and none of the controls. The remaining patients in which no episignature was identified were also classified as controls by a commercial microarray assay. In addition, we identified all underlying pathogenic single nucleotide and structural variants and showed haplotype-aware skewed X-inactivation evaluation directs clinical interpretation. Conclusion This proof-of-concept study demonstrates nanopore sequencing enables episignature detection. In addition, concurrent haplotyped genomic and epigenomic analyses leverage simultaneous detection of single nucleotide/structural variants, X-inactivation, and imprinting, consolidating a multi-step sequential process into a single diagnostic assay.https://doi.org/10.1186/s13073-024-01419-zLong-read sequencingDevelopmental disordersMethylationMethylomeEpisignaturesNanopore sequencing
spellingShingle Mathilde Geysens
Benjamin Huremagic
Erika Souche
Jeroen Breckpot
Koenraad Devriendt
Hilde Peeters
Griet Van Buggenhout
Hilde Van Esch
Kris Van Den Bogaert
Joris Robert Vermeesch
Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders
Genome Medicine
Long-read sequencing
Developmental disorders
Methylation
Methylome
Episignatures
Nanopore sequencing
title Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders
title_full Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders
title_fullStr Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders
title_full_unstemmed Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders
title_short Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders
title_sort clinical evaluation of long read sequencing based episignature detection in developmental disorders
topic Long-read sequencing
Developmental disorders
Methylation
Methylome
Episignatures
Nanopore sequencing
url https://doi.org/10.1186/s13073-024-01419-z
work_keys_str_mv AT mathildegeysens clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT benjaminhuremagic clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT erikasouche clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT jeroenbreckpot clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT koenraaddevriendt clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT hildepeeters clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT grietvanbuggenhout clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT hildevanesch clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT krisvandenbogaert clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders
AT jorisrobertvermeesch clinicalevaluationoflongreadsequencingbasedepisignaturedetectionindevelopmentaldisorders