TY - JOUR
T1 - Characterization of the Common Genetic Variation in the Spanish Population of Navarre
AU - Maillo, Alberto
AU - Huergo, Estefania
AU - Apellániz-Ruiz, María
AU - Urrutia-Lafuente, Edurne
AU - Miranda, María
AU - Salgado, Josefa
AU - Pasalodos-Sanchez, Sara
AU - Delgado-Mora, Luna
AU - Teijido, Óscar
AU - Goicoechea, Ibai
AU - Carmona, Rosario
AU - Perez-Florido, Javier
AU - Aquino, Virginia
AU - Lopez-Lopez, Daniel
AU - Peña-Chilet, María
AU - Beltran, Sergi
AU - Dopazo, Joaquín
AU - Lasa, Iñigo
AU - Beloqui, Juan José
AU - Alonso, Ángel
AU - Gomez-Cabrero, David
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/5
Y1 - 2024/5
N2 - Large-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.
AB - Large-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.
KW - genetic variability
KW - personalized medicine
KW - population frequencies
KW - single nucleotide variant SNV
KW - whole exome sequencing WES
KW - whole genome sequencing WGS
UR - http://www.scopus.com/inward/record.url?scp=85194219512&partnerID=8YFLogxK
U2 - 10.3390/genes15050585
DO - 10.3390/genes15050585
M3 - Article
C2 - 38790214
AN - SCOPUS:85194219512
SN - 2073-4425
VL - 15
JO - Genes
JF - Genes
IS - 5
M1 - 585
ER -