GenesGenetic & Genomic MedicinePeer-reviewed journal article
Characterization of the common genetic variation in the Spanish population of Navarre
Alberto MailloiD, Estefania Huergo, María Apellániz-RuiziD, Edurne Urrutia LafuenteiD, María Miranda, Josefa SalgadoiD, Sara Pasalodos-Sánchez, Luna Delgado-MoraiD, Óscar TeijidoiD, Ibai GoicoecheaiD, Rosario CarmonaiD, Javier Pérez-FloridoiD, Virginia AquinoiD, Daniel López-LópeziD, María Peña-ChiletiD, Sergi BeltrániD, Joaquı́n DopazoiD, Íñigo LasaiD, Juan José BeloquiiD, NAGEN-scheme, Ángel AlonsoiD, David Gómez-CabreroiD
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Abstract
PurposeLarge-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). MethodsGenome sequencing data from 358 unrelated individuals of Spanish origin from the Navarrese population were used. ResultsOur analysis revealed 61,410 biallelic exonic 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 1,069 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 1,069 SNVs as common in Navarre. ConclusionThis 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.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- approach: statistical model
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