Evidence map›Paper›PMID 25194159›Full record

ArticleGenetics2014

Autosomal admixture levels are informative about sex bias in admixed populations.

Amy Goldberg, Paul Verdu, Noah A Rosenberg

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  7. Human genetic admixture through the lens of population genomics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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  16. Ancient X chromosomes reveal contrasting sex bias in Neolithic and Bronze Age Eurasian migrations.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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

3 authors at 2 institutions in 2 countries.

Amy GoldbergDepartment of Biology, Stanford University, Stanford, California 94305-5020 agoldb@stanford.edu.
Paul VerduCentre National de la Recherche Scientifique-Muséum National d'Histoire Naturelle, Université Paris Diderot, Unité Mixte de Recherche 7206, Ecoanthropology and Ethnobiology, Paris, France 75005.
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, California 94305-5020.
Stanford University · USÉco-Anthropologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex-biased admixture has been observed in a wide variety of admixed populations. Genetic variation in sex chromosomes and functions of quantities computed from sex chromosomes and autosomes have often been examined to infer patterns of sex-biased admixture, typically using statistical approaches that do not mechanistically model the complexity of a sex-specific history of admixture. Here, expanding on a model of Verdu and Rosenberg (2011) that did not include sex specificity, we develop a model that mechanistically examines sex-specific admixture histories. Under the model, multiple source populations contribute to an admixed population, potentially with their male and female contributions varying over time. In an admixed population descended from two source groups, we derive the moments of the distribution of the autosomal admixture fraction from a specific source population as a function of sex-specific introgression parameters and time. Considering admixture processes that are constant in time, we demonstrate that surprisingly, although the mean autosomal admixture fraction from a specific source population does not reveal a sex bias in the admixture history, the variance of autosomal admixture is informative about sex bias. Specifically, the long-term variance decreases as the sex bias from a contributing source population increases. This result can be viewed as analogous to the reduction in effective population size for populations with an unequal number of breeding males and females. Our approach suggests that it may be possible to use the effect of sex-biased admixture on autosomal DNA to assist with methods for inference of the history of complex sex-biased admixture processes.

Indexed as

Gene PoolGenetics, PopulationSexismChromosomes, HumanFemaleHumansMaleModels, GeneticProbabilityadmixturedemographic inferencemodelpopulation historysex bias

Identifiers

PMID25194159
PMCPMC4224161
OpenAlexW2066420715

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.