Evidence map›Paper›PMID 25968961›Full record

ArticleMolecular biology and evolution2015

Relaxed Observance of Traditional Marriage Rules Allows Social Connectivity without Loss of Genetic Diversity.

Elsa G Guillot, Martin L Hazelton, Tatiana M Karafet, J Stephen Lansing, Herawati Sudoyo, Murray P Cox

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  2. Article
  3. Kinship structures create persistent channels for language transmission.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Elsa G GuillotStatistics and Bioinformatics Group, Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand.
Martin L HazeltonStatistics and Bioinformatics Group, Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand.
Tatiana M KarafetARL Division of Biotechnology, University of Arizona.
J Stephen LansingComplexity Institute, Nanyang Technological University, Singapore.
Herawati SudoyoEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Murray P CoxStatistics and Bioinformatics Group, Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand m.p.cox@massey.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marriage rules, the community prescriptions that dictate who an individual can or cannot marry, are extremely diverse and universally present in traditional societies. A major focus of research in the early decades of modern anthropology, marriage rules impose social and economic forces that help structure societies and forge connections between them. However, in those early anthropological studies, the biological benefits or disadvantages of marriage rules could not be determined. We revisit this question by applying a novel simulation framework and genome-wide data to explore the effects of Asymmetric Prescriptive Alliance, an elaborate set of marriage rules that has been a focus of research for many anthropologists. Simulations show that strict adherence to these marriage rules reduces genetic diversity on the autosomes, X chromosome and mitochondrial DNA, but relaxed compliance produces genetic diversity similar to random mating. Genome-wide data from the Indonesian community of Rindi, one of the early study populations for Asymmetric Prescriptive Alliance, are more consistent with relaxed compliance than strict adherence. We therefore suggest that, in practice, marriage rules are treated with sufficient flexibility to allow social connectivity without significant degradation of biological diversity.

Indexed as

Genetic VariationMarriageCultureFemaleHumansMaleModels, GeneticApproximate Bayesian ComputationAsymmetric Prescriptive Alliancegenetic diversityIndonesiamating systems

Identifiers

PMID25968961
PMCPMC4540962

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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.