Evidence map›Paper›PMID 29496747›Full record

ArticleGenetics2018

Variant Linkage Analysis Using

David I Schlipalius, Andrew G Tuck, Rajeswaran Jagadeesan, Tam Nguyen, Ramandeep Kaur, Sabtharishi Subramanian, Roberto Barrero, Manoj Nayak, Paul R Ebert

Abstract read
In one paragraph

Article in Genetics, 2018. 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
–field-weighted citation impact
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.

  1. Lipid Metabolism as a Target Site in Pest Control.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Genome ofGenes · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors.

David I SchlipaliusSchool of Biological Sciences, The University of Queensland, St. Lucia, Queensland 4072, Australia.ORCID 0000-0002-8102-7031
Andrew G TuckSchool of Biological Sciences, The University of Queensland, St. Lucia, Queensland 4072, Australia.
Rajeswaran JagadeesanQueensland Department of Agriculture and Fisheries, Queensland Government, Dutton Park, Queensland 4012, Australia.ORCID 0000-0002-9890-5953
Tam NguyenSchool of Biological Sciences, The University of Queensland, St. Lucia, Queensland 4072, Australia.
Ramandeep KaurQueensland Department of Agriculture and Fisheries, Queensland Government, Dutton Park, Queensland 4012, Australia.
Sabtharishi SubramanianDivison of Entomology, Indian Agricultural Research Institute, New Delhi 110 012, India.
Roberto BarreroPlant Biosecurity Cooperative Research Centre, Canberra, Australian Capital Territory 2617, Australia.ORCID 0000-0002-7735-665X
Manoj NayakQueensland Department of Agriculture and Fisheries, Queensland Government, Dutton Park, Queensland 4012, Australia.
Paul R EbertSchool of Biological Sciences, The University of Queensland, St. Lucia, Queensland 4072, Australia p.ebert@uq.edu.au.ORCID 0000-0002-4435-0737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing methods enable identification of the genetic basis of traits in species that have no prior genomic information available. The combination of next-generation sequencing, variant analysis, and linkage is a powerful way of identifying candidate genes for a trait of interest. Here, we used a comparative transcriptomics [RNA sequencing (RNAseq)] and genetic linkage analysis approach to identify the

Indexed as

Genetic LinkageHigh-Throughput Nucleotide SequencingTranscriptomeAnimalsGene Expression ProfilingGenes, InsectInsectaInsecticide ResistanceInsecticidesPhenotypePhosphinesPolymorphism, Single NucleotideInsecticidesphosphinePhosphinesinsecticide resistancelinkagepesticidetranscriptome

Identifiers

PMID29496747
PMCPMC5937174

What OpenQuestion holds

Textmetadata
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.