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

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 pathog...

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Autores principales: López-López, Daniel, Roldán, Gema, Fernández-Rueda, Jose L., Bostelmann, Gerrit, Carmona, Rosario, Aquino, Virginia, Perez-Florido, Javier, Ortuño, Francisco, Pita, Guillermo, Núñez-Torres, Rocío, González-Neira, Anna, Peña-Chilet, María, Dopazo, Joaquin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997023/
https://www.ncbi.nlm.nih.gov/pubmed/36894999
http://dx.doi.org/10.1186/s40246-023-00466-8
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author López-López, Daniel
Roldán, Gema
Fernández-Rueda, Jose L.
Bostelmann, Gerrit
Carmona, Rosario
Aquino, Virginia
Perez-Florido, Javier
Ortuño, Francisco
Pita, Guillermo
Núñez-Torres, Rocío
González-Neira, Anna
Peña-Chilet, María
Dopazo, Joaquin
author_facet López-López, Daniel
Roldán, Gema
Fernández-Rueda, Jose L.
Bostelmann, Gerrit
Carmona, Rosario
Aquino, Virginia
Perez-Florido, Javier
Ortuño, Francisco
Pita, Guillermo
Núñez-Torres, Rocío
González-Neira, Anna
Peña-Chilet, María
Dopazo, Joaquin
author_sort López-López, Daniel
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-023-00466-8.
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spelling pubmed-99970232023-03-10 A crowdsourcing database for the copy-number variation of the Spanish population López-López, Daniel Roldán, Gema Fernández-Rueda, Jose L. Bostelmann, Gerrit Carmona, Rosario Aquino, Virginia Perez-Florido, Javier Ortuño, Francisco Pita, Guillermo Núñez-Torres, Rocío González-Neira, Anna Peña-Chilet, María Dopazo, Joaquin Hum Genomics Database 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-023-00466-8. BioMed Central 2023-03-09 /pmc/articles/PMC9997023/ /pubmed/36894999 http://dx.doi.org/10.1186/s40246-023-00466-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Database
López-López, Daniel
Roldán, Gema
Fernández-Rueda, Jose L.
Bostelmann, Gerrit
Carmona, Rosario
Aquino, Virginia
Perez-Florido, Javier
Ortuño, Francisco
Pita, Guillermo
Núñez-Torres, Rocío
González-Neira, Anna
Peña-Chilet, María
Dopazo, Joaquin
A crowdsourcing database for the copy-number variation of the Spanish population
title A crowdsourcing database for the copy-number variation of the Spanish population
title_full A crowdsourcing database for the copy-number variation of the Spanish population
title_fullStr A crowdsourcing database for the copy-number variation of the Spanish population
title_full_unstemmed A crowdsourcing database for the copy-number variation of the Spanish population
title_short A crowdsourcing database for the copy-number variation of the Spanish population
title_sort crowdsourcing database for the copy-number variation of the spanish population
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997023/
https://www.ncbi.nlm.nih.gov/pubmed/36894999
http://dx.doi.org/10.1186/s40246-023-00466-8
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