Evidence map›Paper›PMID 38644388›Full record

ArticleScientific reports2024

Genetic insights into agronomic and morphological traits of drug-type cannabis revealed by genome-wide association studies.

Maxime de Ronne, Éliana Lapierre, Davoud Torkamaneh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.1field-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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Genetic Advances inPlants (Basel, Switzerland) · 2026
    Review
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Exploring Aroma and Flavor Diversity inMolecules (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Article
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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

3 authors at 1 institution in 1 country.

Maxime de RonneDépartement de Phytologie, Université Laval, Quebec City, Québec, Canada.
Éliana LapierreDépartement de Phytologie, Université Laval, Quebec City, Québec, Canada.
Davoud TorkamanehDépartement de Phytologie, Université Laval, Quebec City, Québec, Canada. davoud.torkamaneh.1@ulaval.ca.
Université Laval · CA

Funding

Fuga Group Inc. and NSERC Alliance #ALLRP 568653 - 21
6 · The paper itself

Abstract

Cannabis sativa L., previously concealed by prohibition, is now a versatile and promising plant, thanks to recent legalization, opening doors for medical research and industry growth. However, years of prohibition have left the Cannabis research community lagging behind in understanding Cannabis genetics and trait inheritance compared to other major crops. To address this gap, we conducted a comprehensive genome-wide association study (GWAS) of nine key agronomic and morphological traits, using a panel of 176 drug-type Cannabis accessions from the Canadian legal market. Utilizing high-density genotyping-by-sequencing (HD-GBS), we successfully generated dense genotyping data in Cannabis, resulting in a catalog of 800 K genetic variants, of which 282 K common variants were retained for GWAS analysis. Through GWAS analysis, we identified 18 markers significantly associated with agronomic and morphological traits. Several identified markers exert a substantial phenotypic impact, guided us to putative candidate genes that reside in high linkage-disequilibrium (LD) with the markers. These findings lay a solid foundation for an innovative cannabis research, leveraging genetic markers to inform breeding programs aimed at meeting diverse needs in the industry.

Indexed as

CannabisGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideGenetic MarkersGenome, PlantGenotypeLinkage DisequilibriumQuantitative Trait LociGenetic MarkersAgronomic and morphological traitsCannabis sativaDrug-type cannabisGenome-wide association studiesHigh-density genotyping-by-sequencingSexual traits

Identifiers

PMID38644388
PMCPMC11033274
OpenAlexW4395007032

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.