Evidence map›Paper›PMID 23457232›Full record

ArticleGenetics2013

Identifying loci under selection against gene flow in isolation-with-migration models.

Vitor C Sousa, Miguel Carneiro, Nuno Ferrand, Jody Hey

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 63 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Vitor C SousaDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, USA. vitor.sousa@iee.unibe.ch
Miguel Carneiro
Nuno Ferrand
Jody Hey
Rutgers, The State University of New Jersey · USUniversidade do Porto · PT

Funding

The Population Genetics of DivergenceR01GM078204 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI HEY, EMANUEL · 2007 to 2016
$1.7M
NIGMS NIH HHS GM078204NIGMS NIH HHS R01 GM078204
6 · The paper itself

Abstract

When divergence occurs in the presence of gene flow, there can arise an interesting dynamic in which selection against gene flow, at sites associated with population-specific adaptations or genetic incompatibilities, can cause net gene flow to vary across the genome. Loci linked to sites under selection may experience reduced gene flow and may experience genetic bottlenecks by the action of nearby selective sweeps. Data from histories such as these may be poorly fitted by conventional neutral model approaches to demographic inference, which treat all loci as equally subject to forces of genetic drift and gene flow. To allow for demographic inference in the face of such histories, as well as the identification of loci affected by selection, we developed an isolation-with-migration model that explicitly provides for variation among genomic regions in migration rates and/or rates of genetic drift. The method allows for loci to fall into any of multiple groups, each characterized by a different set of parameters, thus relaxing the assumption that all loci share the same demography. By grouping loci, the method can be applied to data with multiple loci and still have tractable dimensionality and statistical power. We studied the performance of the method using simulated data, and we applied the method to study the divergence of two subspecies of European rabbits (Oryctolagus cuniculus).

Indexed as

Animal MigrationGene FlowModels, GeneticSelection, GeneticAnimalsDemographyGenetic LociLikelihood FunctionsRabbitsTime Factors

Identifiers

PMID23457232
PMCPMC3632470
OpenAlexW2136275018

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.