Evidence map›Paper›PMID 36894999›Full record

ArticleHuman genomics2023

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

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 and 4 more

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 20 institutions in 1 country.

Daniel López-LópezComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Gema RoldánComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Jose L Fernández-RuedaComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Gerrit BostelmannComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Rosario CarmonaComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Virginia AquinoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Javier Perez-FloridoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Francisco OrtuñoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Guillermo PitaHuman Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain.
Rocío Núñez-TorresHuman Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain.
Anna González-NeiraHuman Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain.
CSVS Crowdsourcing Group
María Peña-ChiletComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
Joaquin DopazoComputational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain. joaquin.dopazo@juntadeandalucia.es.
Fundación Progreso y Salud · ESInstituto de Salud Carlos III · ESUniversidad Publica de Navarra · ESVall d'Hebron Institut de Recerca · ESHospital Universitario Fundación Jiménez Díaz · ESInstituto Cajal · ESSant Joan de Déu Research Foundation · ESSpanish National Cancer Research Centre · ESUniversidad de Zaragoza · ESBioCruces Health research Institute · ESConsejo Superior de Investigaciones Científicas · ESFundación Pública Galega de Medicina Xenómica · ESInstitut d'Investigació Biomédica de Bellvitge · ESMadrid Health Service · ESResearch Institute Hospital 12 de Octubre · ESUniversitat Autònoma de Barcelona · ESCentro de Investigacion Principe Felipe · ESHospital Clínic de Barcelona · ESHospital Universitario Virgen de la Arrixaca · ESHospital Universitario Virgen del Rocío · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite 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.

resultsHere, 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/ .

conclusionSPACNACS 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.

Indexed as

CrowdsourcingDNA Copy Number VariationsDatabases, FactualGenomicsPhenotype

Identifiers

PMID36894999
PMCPMC9997023
OpenAlexW4323666526

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.