Evidence map›Paper›PMID 26205988›Full record

ArticleGenetics2015

The Spatial Mixing of Genomes in Secondary Contact Zones.

Alisa Sedghifar, Yaniv Brandvain, Peter Ralph, Graham Coop

Abstract readComparative Study
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  12. Signatures of hybridization and speciation in genomic patterns of ancestry.Evolution; international journal of organic evolution · 2018
    Article
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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

4 authors.

Alisa SedghifarDepartment of Evolution and Ecology and Center for Population Biology, University of California, Davis, California 95616 sedghifar@ucdavis.edu.
Yaniv BrandvainDepartment of Plant Biology, University of Minnesota, St. Paul, Minnesota 55108.
Peter RalphDepartment of Molecular and Computational Biology, University of Southern California, Los Angeles, California 90089.
Graham CoopDepartment of Evolution and Ecology and Center for Population Biology, University of California, Davis, California 95616.

Funding

Recombination rate variation and evolution in vertebratesR01GM083098 · NIGMS · UNIVERSITY OF CHICAGO · PI PRZEWORSKI, MOLLY F · 2007 to 2024
$4.6M
Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
NIGMS NIH HHS R01 GM083098NIGMS NIH HHS R01GM107374NIGMS NIH HHS R01 GM108779NIGMS NIH HHS R01GM83098
6 · The paper itself

Abstract

Recent genomic studies have highlighted the important role of admixture in shaping genome-wide patterns of diversity. Past admixture leaves a population genomic signature of linkage disequilibrium (LD), reflecting the mixing of parental chromosomes by segregation and recombination. These patterns of LD can be used to infer the timing of admixture, but the results of inference can depend strongly on the assumed demographic model. Here, we introduce a theoretical framework for modeling patterns of LD in a geographic contact zone where two differentiated populations have come into contact and are mixing by diffusive local migration. Assuming that this secondary contact is recent enough that genetic drift can be ignored, we derive expressions for the expected LD and admixture tract lengths across geographic space as a function of the age of the contact zone and the dispersal distance of individuals. We develop an approach to infer age of contact zones, using population genomic data from multiple spatially sampled populations by fitting our model to the decay of LD with recombination distance. To demonstrate an application of our model, we use our approach to explore the fit of a geographic contact zone model to three human genomic data sets from populations in Indonesia, Central Asia, and India and compare our results to inference under different demographic models. We obtain substantially different results from those of the commonly used model of panmictic admixture, highlighting the sensitivity of admixture timing results to the choice of demographic model.

Indexed as

Genome, HumanLinkage DisequilibriumAsia, CentralGenetic VariationHumansIndiaIndonesiaModels, GeneticPopulation Groupsadmixturecontact zoneslinkage disequilibrium

Identifiers

PMID26205988
PMCPMC4566267

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.