Evidence map›Paper›PMID 37510343›Full record

ReviewGenes2023

Benjamin Karikari, Marc-André Lemay, François Belzile

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Breeding jassid-resistant okra (Frontiers in plant science · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. A high-throughput pipeline for phenotyping, object detection and quantification of leaf trichomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  13. Pato: prediction of probiotic bacteria using metabolic features.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  14. Article
  15. SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data.Animals : an open access journal from MDPI · 2024
    Article
  16. Article
  17. PanKmer: k-mer-based and reference-free pangenome analysis.Bioinformatics (Oxford, England) · 2023
    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

3 authors at 1 institution in 2 countries.

Benjamin KarikariDépartement de Phytologie, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0001-5398-2560
Marc-André LemayDépartement de Phytologie, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0003-2484-8447
François BelzileDépartement de Phytologie, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0001-6893-4529
Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have allowed the discovery of marker-trait associations in crops over recent decades. However, their power is hampered by a number of limitations, with the key one among them being an overreliance on single-nucleotide polymorphisms (SNPs) as molecular markers. Indeed, SNPs represent only one type of genetic variation and are usually derived from alignment to a single genome assembly that may be poorly representative of the population under study. To overcome this,

Indexed as

GenomeGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single Nucleotidecandidate genesmolecular signaturesingle-nucleotide polymorphismstructural variation

Identifiers

PMID37510343
PMCPMC10379394
OpenAlexW4384341012

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.