Evidence map›Paper›PMID 24385847›Full record

ReviewGenetics and molecular biology2013

Mantel test in population genetics.

José Alexandre F Diniz-Filho, Thannya N Soares, Jacqueline S Lima, Ricardo Dobrovolski, Victor Lemes Landeiro, Mariana Pires de Campos Telles, Thiago F Rangel, Luis Mauricio Bini

Abstract readReview
In one paragraph

Review in Genetics and molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers.

0numbers the graph read from it
0cells of the map it votes in
165citing 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

165 citing papers in PubMed.

  1. Trial
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  10. Genetic Diversity and Gene Flow of the Ectomycorrhizal MushroomJournal of fungi (Basel, Switzerland) · 2026
    Article
  11. Article
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  18. Spatiotemporal genomic patterns ofForestry research · 2026
    Article
  19. Article
  20. Spatio-temporal patterns of tuberculosis revealed by routineThe Lancet regional health. Western Pacific · 2026
    Article

105 more citing papers are in PubMed but not listed here.

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

8 authors.

José Alexandre F Diniz-FilhoDepartamento de Ecologia, Universidade Federal de Goiás, Goiânia, GO, Brazil .
Thannya N SoaresDepartamento de Biologia Geral, Universidade Federal de Goiás, Goiânia, GO, Brazil .
Jacqueline S LimaPrograma de Pós-Graduação em Ecologia e Evolução, Universidade Federal de Goiás, Goiânia, GO, Brazil .
Ricardo DobrovolskiDepartamento de Zoologia, Universidade Federal da Bahia, Salvador, BA, Brazil .
Victor Lemes LandeiroDepartamento de Botânica e Ecologia, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil .
Mariana Pires de Campos TellesDepartamento de Biologia Geral, Universidade Federal de Goiás, Goiânia, GO, Brazil .
Thiago F RangelDepartamento de Ecologia, Universidade Federal de Goiás, Goiânia, GO, Brazil .
Luis Mauricio BiniDepartamento de Ecologia, Universidade Federal de Goiás, Goiânia, GO, Brazil .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comparison of genetic divergence or genetic distances, estimated by pairwise FST and related statistics, with geographical distances by Mantel test is one of the most popular approaches to evaluate spatial processes driving population structure. There have been, however, recent criticisms and discussions on the statistical performance of the Mantel test. Simultaneously, alternative frameworks for data analyses are being proposed. Here, we review the Mantel test and its variations, including Mantel correlograms and partial correlations and regressions. For illustrative purposes, we studied spatial genetic divergence among 25 populations of Dipteryx alata ("Baru"), a tree species endemic to the Cerrado, the Brazilian savannas, based on 8 microsatellite loci. We also applied alternative methods to analyze spatial patterns in this dataset, especially a multivariate generalization of Spatial Eigenfunction Analysis based on redundancy analysis. The different approaches resulted in similar estimates of the magnitude of spatial structure in the genetic data. Furthermore, the results were expected based on previous knowledge of the ecological and evolutionary processes underlying genetic variation in this species. Our review shows that a careful application and interpretation of Mantel tests, especially Mantel correlograms, can overcome some potential statistical problems and provide a simple and useful tool for multivariate analysis of spatial patterns of genetic divergence.

Indexed as

“Baru” treegenetic distancesgeographical geneticspartial correlationpartial regression

Identifiers

PMID24385847
PMCPMC3873175

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.