Exome variant analysis in 40 mexican pulmonary arterial hypertension patients

dc.audience.educationlevelInvestigadores/Researchers
dc.audience.educationlevelMaestros/Teachers
dc.audience.educationlevelEstudiantes/Students
dc.audience.educationlevelOtros/Other
dc.contributor.advisorTreviño Alvarado, Víctor Manuel
dc.contributor.authorSánchez Pichardo, Brenda Eloisa
dc.contributor.catalogeremimmayorquin, emipsanchez
dc.contributor.committeememberTamez Peña, José Gerardo
dc.contributor.committeememberMartínez Ledesma, Juan Emmanuel
dc.contributor.committeememberSánchez Díaz, Carlos Jerjes
dc.contributor.committeememberBalderas Martínez, Yalbi Itzel
dc.contributor.committeememberGarcía Rivas, Gerardo de Jesús
dc.contributor.departmentSchool of Engineering and Sciences
dc.contributor.institutionCampus Estado de México
dc.date.accepted2025-12-24
dc.date.accessioned2025-12-12T01:31:27Z
dc.date.embargoenddate2026-12-11
dc.date.issued2025-12
dc.descriptionhttps://orcid.org/0000-0002-7472-9844
dc.description.abstractPulmonary arterial hypertension (PAH) is a rare and detrimental disease with a strong genetic component, yet most studies have focused on European or Asian populations. Consequently, little is known about the genetic landscape of PAH in Mexico or whether certain variants have been underrepresented due to ancestry bias in other datasets. This work integrates a set of bioinformatic tools to identify and interpret genetic variants from Whole Exome Sequencing (WES) data of 40 Mexican patients diagnosed with the disease. All patients were recruited by Dr. Carlos Jerjes Díaz Sánchez, the primary clinical col- laborator and data provider for this study. The workflow covered all major steps of data processing, including quality control, read mapping, variant calling, and annotation. These procedures were automated through a custom pipeline implemented in Nextflow, ensuring reproducibility. Subsequently, the analytical phase integrated domain-specific knowledge to interpret variant relevance. First, we systematically examined variants present in 21 PAH-related genes. Second, we explored additional variants based three computational methods: ClinVar annotations, Gene Ontology (GO) terms, and computational predictions. This approach enabled a comprehensive assessment of potential pathogenic variants. Among the 21 PAH-related genes, BMPR2 showed the strongest evidence of pathogenicity, with two variants classified as pathogenic and one of uncertain significance, represent- ing 8% of unrelated individuals. Variants of uncertain significance were also found in eight other PAH-related genes (NOTCH3, EDN1, KCNA5, NOS2, SMAD9, TBX4, and TOPBP1), distributed across 10 of the 39 patients. Additional variants with strong but partially conflicting evidence were identified in HPGDS, TLR4, HSPB9, and other genes. These findings reinforce the central role of BMPR2 in PAH while highlighting po- tential modulatory roles of additional genes involved in inflammation and stress response pathways. Notably, not a single variant was assigned to more than four patients, suggesting that most variants were recently acquired in the family or that those individuals are the first in their families.
dc.description.degreeMaster of Science in Computer Sciences
dc.format.mediumTexto
dc.identificator249999||3201||320501||2409
dc.identifier.cvu1310514
dc.identifier.orcidhttps://orcid.org/0009-0006-2127-0300
dc.identifier.urihttps://hdl.handle.net/11285/705645
dc.language.isoeng
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.relationInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.relationCONAHCYT
dc.relation.isFormatOfpublishedVersion
dc.rightsopenAccess
dc.rights.embargoreasonPor política las tesis de Ciencias Exactas y Ciencias de la Salud estarán en embargo por 1 año
dc.rights.urihttp://creativecommons.org/about/cc0/
dc.subject.classificationBIOLOGÍA Y QUÍMICA::CIENCIAS DE LA VIDA::OTRAS ESPECIALIDADES DE LA BIOLOGÍA::OTRAS
dc.subject.classificationMEDICINA Y CIENCIAS DE LA SALUD::CIENCIAS MÉDICAS::CIENCIAS CLÍNICAS
dc.subject.classificationMEDICINA Y CIENCIAS DE LA SALUD::CIENCIAS MÉDICAS::MEDICINA INTERNA::CARDIOLOGÍA
dc.subject.classificationBIOLOGÍA Y QUÍMICA::CIENCIAS DE LA VIDA::GENÉTICA
dc.subject.keywordPulmonary Arterial Hypertension
dc.subject.keywordWhole Exome Sequencing (WES)
dc.subject.keywordBioinformatics
dc.subject.keywordData Analysis
dc.subject.keywordGenomics
dc.subject.lcshScience
dc.subject.lcshMedicine
dc.titleExome variant analysis in 40 mexican pulmonary arterial hypertension patients
dc.typeTesis de maestría

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