Evidence map›Paper›PMID 16933997›Full record

ArticlePLoS genetics2006

Matrilineal fertility inheritance detected in hunter-gatherer populations using the imbalance of gene genealogies.

Michael G B Blum, Evelyne Heyer, Olivier François, Fréderic Austerlitz

Abstract readEvaluation Study
In one paragraph

Article in PLoS genetics, 2006. 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. Tree balance in phylogenetic models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Effects of the population pedigree on genetic signatures of historical demographic events.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  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

4 authors.

Michael G B BlumLaboratoire TIMC-TIMB, Faculté de Médecine, Grenoble, France. michael.blum@imag.fr
Evelyne Heyer
Olivier François
Fréderic Austerlitz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fertility inheritance, a phenomenon in which an individual's number of offspring is positively correlated with his or her number of siblings, is a cultural process that can have a strong impact on genetic diversity. Until now, fertility inheritance has been detected primarily using genealogical databases. In this study, we develop a new method to infer fertility inheritance from genetic data in human populations. The method is based on the reconstruction of the gene genealogy of a sample of sequences from a given population and on the computation of the degree of imbalance in this genealogy. We show indeed that this level of imbalance increases with the level of fertility inheritance, and that other phenomena such as hidden population structure are unlikely to generate a signal of imbalance in the genealogy that would be confounded with fertility inheritance. By applying our method to mtDNA samples from 37 human populations, we show that matrilineal fertility inheritance is more frequent in hunter-gatherer populations than in food-producer populations. One possible explanation for this result is that in hunter-gatherer populations, individuals belonging to large kin networks may benefit from stronger social support and may be more likely to have a large number of offspring.

Indexed as

Allelic ImbalanceInheritance PatternsPedigreeAnimalsComputer SimulationDatabases, GeneticFertilityGenetics, PopulationHumansMiceModels, GeneticPopulation GrowthReproducibility of ResultsResearch DesignTime Factors

Identifiers

PMID16933997
PMCPMC1526766

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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.