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....
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
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 |