Evidence map›Paper›PMID 34262593›Full record

ArticleFrontiers in genetics2021

RNA-Seq Data for Reliable SNP Detection and Genotype Calling: Interest for Coding Variant Characterization and

Frédéric Jehl, Fabien Degalez, Maria Bernard, Frédéric Lecerf, Laetitia Lagoutte, Colette Désert, Manon Coulée, Olivier Bouchez, Sophie Leroux, Behnam Abasht and 13 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 82 citations in OpenAlex.

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  19. Genotype prediction of 336,463 samples from public expression data.bioRxiv : the preprint server for biology · 2024
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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

23 authors at 5 institutions in 3 countries.

Frédéric JehlINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Fabien DegalezINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Maria BernardINRAE, SIGENAE, Genotoul Bioinfo MIAT, Castanet-Tolosan, France.
Frédéric LecerfINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Laetitia LagoutteINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Colette DésertINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Manon CouléeINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Olivier BouchezINRAE, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, France.
Sophie LerouxINRAE, INPT, ENVT, Université de Toulouse, GenPhySE UMR 1388, Castanet-Tolosan, France.
Behnam AbashtDepartment of Animal and Food Sciences, University of Delaware, Newark, DE, United States.
Michèle Tixier-BoichardINRAE, AgroParisTech, Université Paris-Saclay, GABI UMR 1313, Jouy-en-Josas, France.
Bertrand Bed'homINRAE, AgroParisTech, Université Paris-Saclay, GABI UMR 1313, Jouy-en-Josas, France.
Thierry BurlotNOVOGEN, Maugueérand, Le Foeil, France.
David GourichonINRAE, PEAT UE, Nouzilly, France.
Philippe BardouINRAE, SIGENAE, Genotoul Bioinfo MIAT, Castanet-Tolosan, France.
Hervé AcloqueINRAE, AgroParisTech, Université Paris-Saclay, GABI UMR 1313, Jouy-en-Josas, France.
Sylvain FoissacINRAE, INPT, ENVT, Université de Toulouse, GenPhySE UMR 1388, Castanet-Tolosan, France.
Sarah DjebaliINRAE, INPT, ENVT, Université de Toulouse, GenPhySE UMR 1388, Castanet-Tolosan, France.
Elisabetta GiuffraINRAE, AgroParisTech, Université Paris-Saclay, GABI UMR 1313, Jouy-en-Josas, France.
Tatiana ZerjalINRAE, AgroParisTech, Université Paris-Saclay, GABI UMR 1313, Jouy-en-Josas, France.
Frédérique PitelINRAE, INPT, ENVT, Université de Toulouse, GenPhySE UMR 1388, Castanet-Tolosan, France.
Christophe KloppINRAE, SIGENAE, Genotoul Bioinfo MIAT, Castanet-Tolosan, France.
Sandrine LagarrigueINRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France.
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRAgroParisTech · FRÉcole Nationale Vétérinaire de Toulouse · FRNovogene Bioinformatics Institute · CNUniversity of Delaware · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to their common usages to study gene expression, RNA-seq data accumulated over the last 10 years are a yet-unexploited resource of SNPs in numerous individuals from different populations. SNP detection by RNA-seq is particularly interesting for livestock species since whole genome sequencing is expensive and exome sequencing tools are unavailable. These SNPs detected in expressed regions can be used to characterize variants affecting protein functions, and to study

Indexed as

allele-specific expressionchickengenotype callinglivestockRNA-seqSNP annotationSNP calling

Identifiers

PMID34262593
PMCPMC8273700
OpenAlexW3174479026

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.