Evidence map›Paper›PMID 18211883›Full record

ArticleProceedings. Biological sciences2008

Robustness of linkage maps in natural populations: a simulation study.

Jon Slate

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Variation in recombination frequency and distribution across eukaryotes: patterns and processes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Wild pedigrees: the way forward.Proceedings. Biological sciences · 2008
    Review
  13. 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

1 author.

Jon SlateDepartment of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK. j.slate@sheffield.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a number of long-term individual-based studies of vertebrate populations, the genealogical relationships between individuals have been established with molecular markers. As a result, it is possible to construct genetic linkage maps of these study populations by examining the co-segregation of markers through the pedigree. There are now four free-living vertebrate study populations for whom linkage maps have been built. In this study, simulation was used to investigate whether these linkage maps are likely to be accurate. In all four populations, the probability of assigning markers to the correct chromosome is high and framework maps are generally inferred correctly. However, genotyping error can result in incorrect maps being built with very strong statistical support over the correct order. Future applications of linkage maps of natural populations are discussed.

Indexed as

Computer SimulationGenetic LinkageModels, GeneticAnimalsChromosome MappingChromosomesGenetic MarkersGenotypeMicrosatellite RepeatsPolymorphism, Single NucleotideVertebratesGenetic Markers

Identifiers

PMID18211883
PMCPMC2596837

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.