Evidence map›Paper›PMID 38790214›Full record

ArticleGenes2024

Characterization of the Common Genetic Variation in the Spanish Population of Navarre.

Alberto Maillo, Estefania Huergo, María Apellániz-Ruiz, Edurne Urrutia-Lafuente, María Miranda, Josefa Salgado, Sara Pasalodos-Sanchez, Luna Delgado-Mora, Óscar Teijido, Ibai Goicoechea and 12 more

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Alberto MailloTranslational Bioinformatics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.ORCID 0000-0002-3835-9794
Estefania HuergoTranslational Bioinformatics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
María Apellániz-RuizGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.ORCID 0000-0002-2137-1439
Edurne Urrutia-LafuenteTranslational Bioinformatics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
María MirandaGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
Josefa SalgadoGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
Sara Pasalodos-SanchezGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
Luna Delgado-MoraGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
Óscar TeijidoGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
Ibai GoicoecheaDepartment of Personalized Medicine, NASERTIC, Government of Navarra, 31011 Pamplona, Spain.
Rosario CarmonaComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0002-4235-2886
Javier Perez-FloridoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0002-0223-9889
Virginia AquinoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0002-2329-8159
Daniel Lopez-LopezComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0001-7672-7335
María Peña-ChiletComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.
Sergi BeltranCentro Nacional de Analisis Genomico (CNAG-CRG), Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain.
Joaquín DopazoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain.ORCID 0000-0003-3318-120X
Iñigo LasaLaboratory of Microbial Pathogenesis, Navarrabiomed, 31008 Pamplona, Spain.ORCID 0000-0002-6625-9221
Juan José BeloquiGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.ORCID 0000-0003-1290-4050
Nagen-Scheme
Ángel AlonsoGenomics Medicine Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.
David Gomez-CabreroTranslational Bioinformatics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain.ORCID 0000-0003-4186-3788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Gene FrequencyPolymorphism, Single NucleotideCohort StudiesExomeFemaleGenetics, PopulationGenetic VariationGenome, HumanHumansMaleSpainWhole Genome Sequencinggenetic variabilitypersonalized medicinepopulation frequenciessingle nucleotide variant SNVwhole exome sequencing WESwhole genome sequencing WGS

Identifiers

PMID38790214
PMCPMC11121068

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.