Evidence map›Paper›PMID 29487138›Full record

ArticleGenetics2018

Accounting for Errors in Low Coverage High-Throughput Sequencing Data When Constructing Genetic Maps Using Biparental Outcrossed Populations.

Timothy P Bilton, Matthew R Schofield, Michael A Black, David Chagné, Phillip L Wilcox, Ken G Dodds

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Frontiers in plant science · 2025
    Article
  5. Article
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  8. Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Using probabilistic genotypes in linkage analysis of polyploids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  15. Genotyping Strategies Using ddRAD Sequencing in Farmed Arctic Charr (Animals : an open access journal from MDPI · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Timothy P BiltonDepartment of Mathematics and Statistics, University of Otago, Dunedin 9054, New Zealand tbilton@maths.otago.ac.nz.ORCID 0000-0001-5945-3766
Matthew R SchofieldDepartment of Mathematics and Statistics, University of Otago, Dunedin 9054, New Zealand.ORCID 0000-0003-1481-2766
Michael A BlackDepartment of Biochemistry, University of Otago, Dunedin 9054, New Zealand.ORCID 0000-0003-1174-6054
David ChagnéDepartment of Biochemistry, University of Otago, Dunedin 9054, New Zealand.ORCID 0000-0003-4018-0694
Phillip L WilcoxDepartment of Mathematics and Statistics, University of Otago, Dunedin 9054, New Zealand.
Ken G DoddsInvermay Agricultural Centre, AgResearch, Mosgiel 9053, New Zealand.ORCID 0000-0002-9347-6379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing is an efficient method that allows for substantially more markers than previous technologies, providing opportunities for building high-density genetic linkage maps, which facilitate the development of nonmodel species' genomic assemblies and the investigation of their genes. However, constructing genetic maps using data generated via high-throughput sequencing technology (

Indexed as

Chromosome MappingCrosses, GeneticGenetic LinkageGenetics, PopulationHigh-Throughput Nucleotide SequencingAlgorithmsAllelesComputational BiologyComputer SimulationGenotyping TechniquesMarkov ChainsModels, GeneticPolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNASoftwaregenetic linkage mapsgenotyping-by-sequencinghidden Markov modelmap inflationsequencing errors

Identifiers

PMID29487138
PMCPMC5937187

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.