Evidence map›Paper›PMID 36498868›Full record

ArticleInternational journal of molecular sciences2022

Genetic Variants Associated with Long-Terminal Repeats Can Diagnostically Classify

Jackson M J Oultram, Joseph L Pegler, Greg M Symons, Timothy A Bowser, Andrew L Eamens, Christopher P L Grof, Darren J Korbie

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 1 country.

Jackson M J OultramCentre for Plant Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0003-0734-9574
Joseph L PeglerCentre for Plant Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0001-7353-3850
Greg M SymonsExtractas Bioscience, 160 Birralee Road, Westbury, TAS 7303, Australia.
Timothy A BowserImpact Science Consulting, 24 Leighton Bay Drive, Metung, VIC 3904, Australia.ORCID 0000-0002-2126-8538
Andrew L EamensSchool of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia.ORCID 0000-0002-6327-3618
Christopher P L GrofCentre for Plant Science, School of Environmental and Life Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia.
Darren J KorbieCentre for Personalised Nanomedicine, Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0001-5033-914X
University of Newcastle Australia · AUThe University of Queensland · AUUniversity of the Sunshine Coast · AU

Funding

CannaPacific Pty Ltd., Australia G2000855
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CannabisHallucinogensCannabinoid Receptor AgonistsGenetic VariationPhylogenyPolymorphism, Single NucleotideSequence Analysis, DNATerminal Repeat SequencesCannabinoid Receptor AgonistsHallucinogensCannabis sativa (Cannabis)genetic diversitygenetic resolutionlong terminal repeat (LTR) retroelementspopulation structurereduced representation shotgun sequencingsingle nucleotide polymorphism (SNP)

Identifiers

PMID36498868
PMCPMC9735643
OpenAlexW4309715099

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.