Evidence map›Paper›PMID 20361044›Full record

ArticlePLoS genetics2010

Human population differentiation is strongly correlated with local recombination rate.

Alon Keinan, David Reich

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 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

2 authors at 2 institutions in 1 country.

Alon KeinanDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America. ak735@cornell.edu
David Reich
Harvard University · USMassachusetts Institute of Technology · US

Funding

Population structure in whole-genome disease scansU01HG004168 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2006 to 2008
$991k
NHGRI NIH HHS U01 HG004168
6 · The paper itself

Abstract

Allele frequency differences across populations can provide valuable information both for studying population structure and for identifying loci that have been targets of natural selection. Here, we examine the relationship between recombination rate and population differentiation in humans by analyzing two uniformly-ascertained, whole-genome data sets. We find that population differentiation as assessed by inter-continental F(ST) shows negative correlation with recombination rate, with F(ST) reduced by 10% in the tenth of the genome with the highest recombination rate compared with the tenth of the genome with the lowest recombination rate (P<<10(-12)). This pattern cannot be explained by the mutagenic properties of recombination and instead must reflect the impact of selection in the last 100,000 years since human continental populations split. The correlation between recombination rate and F(ST) has a qualitatively different relationship for F(ST) between African and non-African populations and for F(ST) between European and East Asian populations, suggesting varying levels or types of selection in different epochs of human history.

Indexed as

Genetics, PopulationRecombination, GeneticGene FrequencyHumansPolymorphism, Single NucleotideRacial Groups

Identifiers

PMID20361044
PMCPMC2845648
OpenAlexW1982349920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.