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A crowdsourcing database for the copy-number variation of the Spanish population

Authors :
Daniel López-López
Gema Roldán
Jose L. Fernández-Rueda
Gerrit Bostelmann
Rosario Carmona
Virginia Aquino
Javier Perez-Florido
Francisco Ortuño
Guillermo Pita
Rocío Núñez-Torres
Anna González-Neira
CSVS Crowdsourcing Group
María Peña-Chilet
Joaquin Dopazo
Source :
Human Genomics, Vol 17, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Despite being a very common type of genetic variation, the distribution of copy-number variations (CNVs) in the population is still poorly understood. The knowledge of the genetic variability, especially at the level of the local population, is a critical factor for distinguishing pathogenic from non-pathogenic variation in the discovery of new disease variants. Results Here, we present the SPAnish Copy Number Alterations Collaborative Server (SPACNACS), which currently contains copy number variation profiles obtained from more than 400 genomes and exomes of unrelated Spanish individuals. By means of a collaborative crowdsourcing effort whole genome and whole exome sequencing data, produced by local genomic projects and for other purposes, is continuously collected. Once checked both, the Spanish ancestry and the lack of kinship with other individuals in the SPACNACS, the CNVs are inferred for these sequences and they are used to populate the database. A web interface allows querying the database with different filters that include ICD10 upper categories. This allows discarding samples from the disease under study and obtaining pseudo-control CNV profiles from the local population. We also show here additional studies on the local impact of CNVs in some phenotypes and on pharmacogenomic variants. SPACNACS can be accessed at: http://csvs.clinbioinfosspa.es/spacnacs/ . Conclusion SPACNACS facilitates disease gene discovery by providing detailed information of the local variability of the population and exemplifies how to reuse genomic data produced for other purposes to build a local reference database.

Subjects

Subjects :
Medicine
Genetics
QH426-470

Details

Language :
English
ISSN :
14797364
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Human Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.72d4e6bd5da43d993998c9c0b48c716
Document Type :
article
Full Text :
https://doi.org/10.1186/s40246-023-00466-8