Teijido Hermida, Óscar
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Teijido Hermida
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Óscar
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Ciencias de la Salud
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Publication Open Access Genetic polymorphisms of CYP2C19 in Ecuadorian population: an interethnic approach(Elsevier, 2024) Alonso Llorente, Alba; Salgado Garrido, Josefa; Teijido Hermida, Óscar; González Andrade, Fabricio; Valiente Martín, Alberto; Fanlo Villacampa, Ana; Vicente Romero, Jorge; Ciencias de la Salud; Osasun ZientziakIntroduction: CYP2C19 is a highly polymorphic gene responsible for metabolizing commonly used drugs. CYP2C192,3 (loss of activity alleles) and 17 (increased activity allele) are the principal alleles included in clinical guidelines, however their prevalence varies among different ethnicities. Ecuadorian population is formed by Mestizos, Afrodescendants and Native Americans and frequency of CYP2C19 alleles could be different among them. The objective of this study was to establish the frequency of these variants in the different populations of Ecuador and to compare them with other populations. Materials and methods: DNA from 105 Afrodescendants, 75 Native Americans of the Kichwa ethnicity, and 33 Mestizos Ecuadorians was analyzed by nested-PCR to identify CYP2C1917 carriers. CYP2C192 allele was analyzed in DNA from 78 Afrodescendants, 29 Native Americans of the Kichwa, and 16 Mestizos by TaqMan Allelic Discrimination Assay. CYP2C193 was analyzed in 33 Afrodescendants by nested-PCR. Results: The global frequencies of the alternate alleles were 14.22% (CYP2C192) and 2.10% (CYP2C1917). No differences (p > 0.05) were observed among the subgroups. No CYP2C193 carrier was identified. CYP2C192 frequencies in Ecuador were similar to the ones reported in Europe, Africa and Middle East countries and to some American populations. Low CYP2C1917 frequencies, like the ones in our population, were also observed in East and South Asia and in Native American groups. Discussion: Absence of differences in the ethnic groups in Ecuador for CYP2C192 and 17 could be due to either a bias in sample selection (ethnic group was assed by self-identification) or to a high interethnic admixture in the Ecuadorian population that would had diluted genetic differences. In addition, CYP2C192, *3, and *17 alleles frequencies in our study suggest that Ecuadorians ancestry is mostly of Native American origin.Publication Open Access Characterization of the common genetic variation in the spanish population of Navarre(MDPI, 2024) Maíllo Ruiz de Infante, Alberto; Huergo, Estefanía; Apellániz Ruiz, María Valvanera; Urrutia Lafuente, Edurne; Miranda, María; Salgado Garrido, Josefa; Pasalodos Sánchez, Sara; Delgado-Mora, Luna; Teijido Hermida, Óscar; Goicoechea, Ibai; Carmona, Rosario; Pérez-Florido, Javier; Aquino, Virginia; López-López, Daniel; Peña-Chilet, María; Beltrán, Sergi; Dopazo, Joaquín; Lasa Uzcudun, Íñigo; Beloqui, Juan José; NAGEN-Scheme; Alonso Sánchez, Ángel Miguel; Gómez-Cabrero, David; Ciencias de la Salud; Osasun ZientziakLarge-scale genomic studies have significantly increased our knowledge of genetic variability across populations. Regional genetic profiling is essential for distinguishing common benign variants from disease-causing ones. To this end, we conducted a comprehensive characterization of exonic variants in the population of Navarre (Spain), utilizing whole genome sequencing data from 358 unrelated individuals of Spanish origin. Our analysis revealed 61,410 biallelic single nucleotide variants (SNV) within the Navarrese cohort, with 35% classified as common (MAF > 1%). By comparing allele frequency data from 1000 Genome Project (excluding the Iberian cohort of Spain, IBS), Genome Aggregation Database, and a Spanish cohort (including IBS individuals and data from Medical Genome Project), we identified 1069 SNVs common in Navarre but rare (MAF ≤ 1%) in all other populations. We further corroborated this observation with a second regional cohort of 239 unrelated exomes, which confirmed 676 of the 1069 SNVs as common in Navarre. In conclusion, this study highlights the importance of population-specific characterization of genetic variation to improve allele frequency filtering in sequencing data analysis to identify disease-causing variants.