Evidence map›Paper›PMID 28537571›Full record

ArticleHeredity2017

Comparison of different genetic distances to test isolation by distance between populations.

M Séré, S Thévenon, A M G Belem, T De Meeûs

Abstract read
In one paragraph

Article in Heredity, 2017. 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
  2. Parameter Evolvability in Gene Expression Models Drives Phenotypic Adaptation.ALIFE : proceedings of the artificial life conference. International Conference on Artificial Life · 2025
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  11. Review
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  16. The Y chromosome and its use in forensic DNA analysis.Emerging topics in life sciences · 2021
    Article
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  19. 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

4 authors.

M SéréCIRDES, UMR IRD/CIRAD 177, Centre International de Recherche-Développement sur l'Elevage en zone Subhumide (CIRDES), Bobo-Dioulasso 01, Burkina-Faso.
S ThévenonCIRAD, UMR INTERTRYP, Montpellier, France.
A M G BelemUniversité Polytechnique de Bobo-Dioulasso, Bobo-Dioulasso 01, Burkina-Faso.
T De MeeûsCIRAD, UMR INTERTRYP, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying isolation by distance can provide useful demographic information. To analyze isolation by distance from molecular data, one can use some kind of genetic distance or coalescent simulations. Molecular markers can often display technical caveats, such as PCR-based amplification failures (null alleles, allelic dropouts). These problems can alter population parameter inferences that can be extracted from molecular data. In this simulation study, we analyze the behavior of different genetic distances in Island (null hypothesis) and stepping stone models displaying varying neighborhood sizes. Impact of null alleles of increasing frequency is also studied. In stepping stone models without null alleles, the best statistic to detect isolation by distance in most situations is the chord distance D

Indexed as

Genetic VariationModels, GeneticAllelesAnimalsComputer SimulationGenetic MarkersGenetics, PopulationMicrosatellite RepeatsGenetic Markers

Identifiers

PMID28537571
PMCPMC5564375

What OpenQuestion holds

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Registered trials

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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.