Evidence map›Paper›PMID 35176773›Full record

ArticleNucleic acids research2022

GCAT|Panel, a comprehensive structural variant haplotype map of the Iberian population from high-coverage whole-genome sequencing.

Jordi Valls-Margarit, Iván Galván-Femenía, Daniel Matías-Sánchez, Natalia Blay, Montserrat Puiggròs, Anna Carreras, Cecilia Salvoro, Beatriz Cortés, Ramon Amela, Xavier Farre and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

21 authors at 8 institutions in 3 countries.

Jordi Valls-MargaritLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.ORCID 0000-0002-0766-0349
Iván Galván-FemeníaGenomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona 08916, Spain.ORCID 0000-0002-6124-3730
Daniel Matías-SánchezLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.ORCID 0000-0003-4760-6512
Natalia BlayGenomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona 08916, Spain.
Montserrat PuiggròsLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.
Anna CarrerasGenomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona 08916, Spain.
Cecilia SalvoroLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.
Beatriz CortésGenomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona 08916, Spain.
Ramon AmelaLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.
Xavier FarreGenomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona 08916, Spain.
Jon Lerga-JasoInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona 08193, Spain.
Marta PuigInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona 08193, Spain.ORCID 0000-0002-4439-6372
Jose Francisco Sánchez-HerreroHigh Content Genomics and Bioinformatics Unit, Institute for Health Science Research Germans Trias i Pujol (IGTP), 08916 Badalona, Spain.
Victor MorenoCatalan Institute of Oncology, Hospitalet del Llobregat, 08908, Spain.ORCID 0000-0002-2818-5487
Manuel PeruchoSanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA 92037, USA.
Lauro SumoyHigh Content Genomics and Bioinformatics Unit, Institute for Health Science Research Germans Trias i Pujol (IGTP), 08916 Badalona, Spain.
Lluís ArmengolQuantitative Genomic Medicine Laboratories (qGenomics), Esplugues del Llobregat, 08950, Spain.
Olivier DelaneauDepartment of Computational Biology, University of Lausanne, Génopode, 1015 Lausanne, Switzerland.
Mario CáceresInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona 08193, Spain.
Rafael de CidGenomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona 08916, Spain.ORCID 0000-0003-3579-6777
David TorrentsLife Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.ORCID 0000-0002-6086-9037
Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESBarcelona Supercomputing Center · ESInstitució Catalana de Recerca i Estudis Avançats · ESUniversitat Autònoma de Barcelona · ESInstitut d'Investigació Biomédica de Bellvitge · ESQuantitative Genomics Medicine Laboratories (qGenomics)Sanford Burnham Prebys Medical Discovery Institute · USSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combined analysis of haplotype panels with phenotype clinical cohorts is a common approach to explore the genetic architecture of human diseases. However, genetic studies are mainly based on single nucleotide variants (SNVs) and small insertions and deletions (indels). Here, we contribute to fill this gap by generating a dense haplotype map focused on the identification, characterization, and phasing of structural variants (SVs). By integrating multiple variant identification methods and Logistic Regression Models (LRMs), we present a catalogue of 35 431 441 variants, including 89 178 SVs (≥50 bp), 30 325 064 SNVs and 5 017 199 indels, across 785 Illumina high coverage (30x) whole-genomes from the Iberian GCAT Cohort, containing a median of 3.52M SNVs, 606 336 indels and 6393 SVs per individual. The haplotype panel is able to impute up to 14 360 728 SNVs/indels and 23 179 SVs, showing a 2.7-fold increase for SVs compared with available genetic variation panels. The value of this panel for SVs analysis is shown through an imputed rare Alu element located in a new locus associated with Mononeuritis of lower limb, a rare neuromuscular disease. This study represents the first deep characterization of genetic variation within the Iberian population and the first operational haplotype panel to systematically include the SVs into genome-wide genetic studies.

Indexed as

Genome, HumanHaplotypesINDEL MutationAcyltransferasesEuropeHigh-Throughput Nucleotide SequencingHumansLipasePolymorphism, Single NucleotideWhole Genome SequencingAcyltransferasesLipase

Identifiers

PMID35176773
PMCPMC8934637
OpenAlexW4210909381

What OpenQuestion holds

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LicenceCC BY-NC
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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.