Evidence map›Paper›PMID 30107060›Full record

ArticleMolecular ecology2018

How to estimate kinship.

Jérôme Goudet, Tomas Kay, Bruce S Weir

Abstract read
In one paragraph

Article in Molecular ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Review
  2. Bony fish genomes: Status and gaps.Journal of fish biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Adaptive Potential ofEvolutionary applications · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. On ARGs, pedigrees, and genetic relatedness matrices.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

4 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

3 authors.

Jérôme GoudetDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-5318-7601
Tomas KayDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Bruce S WeirDepartment of Biostatistics, University of Washington, Seattle, Washington.

Funding

Theoretical Population Genetics SupplementR01GM075091 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2006 to 2020
$4.7M
NIGMS NIH HHS R01 GM075091
6 · The paper itself

Abstract

The concept of kinship permeates many domains of fundamental and applied biology ranging from social evolution to conservation science to quantitative and human genetics. Until recently, pedigrees were the gold standard to infer kinship, but the advent of next-generation sequencing and the availability of dense genetic markers in many species make it a good time to (re)evaluate the usefulness of genetic markers in this context. Using three published data sets where both pedigrees and markers are available, we evaluate two common and a new genetic estimator of kinship. We show discrepancies between pedigree values and marker estimates of kinship and explore via simulations the possible reasons for these. We find these discrepancies are attributable to two main sources: pedigree errors and heterogeneity in the origin of founders. We also show that our new marker-based kinship estimator has very good statistical properties and behaviour and is particularly well suited for situations where the source population is of small size, as will often be the case in conservation biology, and where high levels of kinship are expected, as is typical in social evolution studies.

Indexed as

PedigreeGenetic MarkersGenetics, PopulationHumansModels, GeneticGenetic Markersanimal mating/breeding systemsbehavior/social evolutionconservation geneticsquantitative geneticswildlife management

Identifiers

PMID30107060
PMCPMC6220858

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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.