Evidence map›Paper›PMID 19038041›Full record

ArticleBMC genetics2008

Intergenic DNA sequences from the human X chromosome reveal high rates of global gene flow.

Murray P Cox, August E Woerner, Jeffrey D Wall, Michael F Hammer

Abstract read
In one paragraph

Article in BMC genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Murray P CoxARL Division of Biotechnology, University of Arizona, AZ 85721, USA. mpcox@u.arizona.edu
August E Woerner
Jeffrey D Wall
Michael F Hammer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite intensive efforts devoted to collecting human polymorphism data, little is known about the role of gene flow in the ancestry of human populations. This is partly because most analyses have applied one of two simple models of population structure, the island model or the splitting model, which make unrealistic biological assumptions.

resultsHere, we analyze 98-kb of DNA sequence from 20 independently evolving intergenic regions on the X chromosome in a sample of 90 humans from six globally diverse populations. We employ an isolation-with-migration (IM) model, which assumes that populations split and subsequently exchange migrants, to independently estimate effective population sizes and migration rates. While the maximum effective size of modern humans is estimated at approximately 10,000, individual populations vary substantially in size, with African populations tending to be larger (2,300-9,000) than non-African populations (300-3,300). We estimate mean rates of bidirectional gene flow at 4.8 x 10(-4)/generation. Bidirectional migration rates are approximately 5-fold higher among non-African populations (1.5 x 10(-3)) than among African populations (2.7 x 10(-4)). Interestingly, because effective sizes and migration rates are inversely related in African and non-African populations, population migration rates are similar within Africa and Eurasia (e.g., global mean Nm = 2.4).

conclusionWe conclude that gene flow has played an important role in structuring global human populations and that migration rates should be incorporated as critical parameters in models of human demography.

Indexed as

Base SequenceChromosomes, Human, XComputer SimulationDNA, IntergenicEmigration and ImmigrationGene FlowGenetics, PopulationGeographyHumansModels, GeneticPopulation DensityReproducibility of ResultsTime FactorsDNA, Intergenic

Identifiers

PMID19038041
PMCPMC2620354

What OpenQuestion holds

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LicenceCC BY
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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.