Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity
Autozygosity is associated with an increased risk of genetic rare disease, thus being a relevant factor for clinical genetic studies. More than 2400 exome sequencing data sets were analyzed and screened for autozygosity on the basis of detection of >1 Mbp runs of homozygosity (ROHs). A model was...
| Autores: | , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Recursos: | Instituto de Salud Carlos III (ISCIII) |
| Repositorio: | Repisalud |
| Idioma: | inglés |
| OAI Identifier: | oai:repisalud.isciii.es:20.500.12105/15568 |
| Acesso em linha: | http://hdl.handle.net/20.500.12105/15568 |
| Access Level: | acceso abierto |
| Palavra-chave: | Homozygote Consanguinity Exome Genome, Human Humans Models, Genetic Molecular Diagnostic Techniques Pedigree Polymorphism, Single Nucleotide Rare Diseases Exome Sequencing |
| id |
ES_11d77a2cd3be545b4fb54929d36ae1a1 |
|---|---|
| oai_identifier_str |
oai:repisalud.isciii.es:20.500.12105/15568 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of HomozygosityMatalonga, LeslieLaurie, StevenPapakonstantinou, AnastasiosPiscia, DavideMereu, ElisabettaBullich, GemmaThompson, RachelHorvath, RitaPérez-Jurado, Luis AlbertoRiess, OlafGut, Ivovan Ommen, Gert-JanLochmüller, HannsBeltran, SergiRD–Connect Genome-Phenome Analysis PlatformURD-Cat Data ContributorsPosada De la Paz, ManuelHomozygoteConsanguinityExomeGenome, HumanHumansModels, GeneticMolecular Diagnostic TechniquesPedigreePolymorphism, Single NucleotideRare DiseasesExome SequencingAutozygosity is associated with an increased risk of genetic rare disease, thus being a relevant factor for clinical genetic studies. More than 2400 exome sequencing data sets were analyzed and screened for autozygosity on the basis of detection of >1 Mbp runs of homozygosity (ROHs). A model was built to predict if an individual is likely to be a consanguineous offspring (accuracy, 98%), and probability of consanguinity ranges were established according to the total ROH size. Application of the model resulted in the reclassification of the consanguinity status of 12% of the patients. The analysis of a subset of 79 consanguineous cases with the Rare Disease (RD)-Connect Genome-Phenome Analysis Platform, combining variant filtering and homozygosity mapping, enabled a 50% reduction in the number of candidate variants and the identification of homozygous pathogenic variants in 41 patients, with an overall diagnostic yield of 52%. The newly defined consanguinity ranges provide, for the first time, specific ROH thresholds to estimate inbreeding within a pedigree on disparate exome sequencing data, enabling confirmation or (re)classification of consanguineous status, hence increasing the efficiency of molecular diagnosis and reporting on secondary consanguinity findings, as recommended by American College of Medical Genetics and Genomics guidelines.ElsevierUnión Europea. Comisión Europea. H2020Instituto de Salud Carlos IIIUnión Europea. Comisión Europea. 7 Programa MarcoGovernment of Catalonia (España)Canadian Institutes of Health ResearchUnión Europea. Comisión Europea. European Research Council (ERC)Medical Research Council (Reino Unido)Wellcome TrustMinisterio de Economía, Industria y Competitividad (España)European Molecular Biology LaboratoryMinisterio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España)Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)Wellcome Investigator20232023-03-0320202020-09-0120202020-09-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.12105/15568reponame:Repisaludinstname:Instituto de Salud Carlos III (ISCIII)InglésengEuropean Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 305444European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 779257European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 825575European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 313010European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 305121European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 309548open accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repisalud.isciii.es:20.500.12105/155682026-06-12T12:43:37Z |
| dc.title.none.fl_str_mv |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| title |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| spellingShingle |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity Matalonga, Leslie Homozygote Consanguinity Exome Genome, Human Humans Models, Genetic Molecular Diagnostic Techniques Pedigree Polymorphism, Single Nucleotide Rare Diseases Exome Sequencing |
| title_short |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| title_full |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| title_fullStr |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| title_full_unstemmed |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| title_sort |
Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity |
| dc.creator.none.fl_str_mv |
Matalonga, Leslie Laurie, Steven Papakonstantinou, Anastasios Piscia, Davide Mereu, Elisabetta Bullich, Gemma Thompson, Rachel Horvath, Rita Pérez-Jurado, Luis Alberto Riess, Olaf Gut, Ivo van Ommen, Gert-Jan Lochmüller, Hanns Beltran, Sergi RD–Connect Genome-Phenome Analysis Platform URD-Cat Data Contributors Posada De la Paz, Manuel |
| author |
Matalonga, Leslie |
| author_facet |
Matalonga, Leslie Laurie, Steven Papakonstantinou, Anastasios Piscia, Davide Mereu, Elisabetta Bullich, Gemma Thompson, Rachel Horvath, Rita Pérez-Jurado, Luis Alberto Riess, Olaf Gut, Ivo van Ommen, Gert-Jan Lochmüller, Hanns Beltran, Sergi RD–Connect Genome-Phenome Analysis Platform URD-Cat Data Contributors Posada De la Paz, Manuel |
| author_role |
author |
| author2 |
Laurie, Steven Papakonstantinou, Anastasios Piscia, Davide Mereu, Elisabetta Bullich, Gemma Thompson, Rachel Horvath, Rita Pérez-Jurado, Luis Alberto Riess, Olaf Gut, Ivo van Ommen, Gert-Jan Lochmüller, Hanns Beltran, Sergi RD–Connect Genome-Phenome Analysis Platform URD-Cat Data Contributors Posada De la Paz, Manuel |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Unión Europea. Comisión Europea. H2020 Instituto de Salud Carlos III Unión Europea. Comisión Europea. 7 Programa Marco Government of Catalonia (España) Canadian Institutes of Health Research Unión Europea. Comisión Europea. European Research Council (ERC) Medical Research Council (Reino Unido) Wellcome Trust Ministerio de Economía, Industria y Competitividad (España) European Molecular Biology Laboratory Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España) Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) Wellcome Investigator |
| dc.subject.none.fl_str_mv |
Homozygote Consanguinity Exome Genome, Human Humans Models, Genetic Molecular Diagnostic Techniques Pedigree Polymorphism, Single Nucleotide Rare Diseases Exome Sequencing |
| topic |
Homozygote Consanguinity Exome Genome, Human Humans Models, Genetic Molecular Diagnostic Techniques Pedigree Polymorphism, Single Nucleotide Rare Diseases Exome Sequencing |
| description |
Autozygosity is associated with an increased risk of genetic rare disease, thus being a relevant factor for clinical genetic studies. More than 2400 exome sequencing data sets were analyzed and screened for autozygosity on the basis of detection of >1 Mbp runs of homozygosity (ROHs). A model was built to predict if an individual is likely to be a consanguineous offspring (accuracy, 98%), and probability of consanguinity ranges were established according to the total ROH size. Application of the model resulted in the reclassification of the consanguinity status of 12% of the patients. The analysis of a subset of 79 consanguineous cases with the Rare Disease (RD)-Connect Genome-Phenome Analysis Platform, combining variant filtering and homozygosity mapping, enabled a 50% reduction in the number of candidate variants and the identification of homozygous pathogenic variants in 41 patients, with an overall diagnostic yield of 52%. The newly defined consanguinity ranges provide, for the first time, specific ROH thresholds to estimate inbreeding within a pedigree on disparate exome sequencing data, enabling confirmation or (re)classification of consanguineous status, hence increasing the efficiency of molecular diagnosis and reporting on secondary consanguinity findings, as recommended by American College of Medical Genetics and Genomics guidelines. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2020-09-01 2020 2020-09-01 2023 2023-03-03 |
| dc.type.none.fl_str_mv |
research article http://purl.org/coar/resource_type/c_2df8fbb1 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12105/15568 |
| url |
http://hdl.handle.net/20.500.12105/15568 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 305444 European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 779257 European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 825575 European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 313010 European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 305121 European Commission http://dx.doi.org/10.13039/501100000780 Seventh Framework Programme 309548 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:Repisalud instname:Instituto de Salud Carlos III (ISCIII) |
| instname_str |
Instituto de Salud Carlos III (ISCIII) |
| reponame_str |
Repisalud |
| collection |
Repisalud |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869403586417393664 |
| score |
15,812429 |