Evidence map›Paper›PMID 16251464›Full record

ArticleGenome research2005

Large-scale recombination rate patterns are conserved among human populations.

David Serre, Robert Nadon, Thomas J Hudson

Abstract readComparative Study
In one paragraph

Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  9. High-density interspecific genetic maps of kiwifruit and the identification of sex-specific markers.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
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  14. Hunter-gatherer genomic diversity suggests a southern African origin for modern humans.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  15. Article
  16. Article
  17. Article
  18. Contrasting methods of quantifying fine structure of human recombination.Annual review of genomics and human genetics · 2010
    Review
  19. Review
  20. Article
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.

David SerreMcGill University and Genome Quebec Innovation Center, Montreal, Quebec H3A 1A4, Canada. david.serre@mail.mcgill.ca
Robert Nadon
Thomas J Hudson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In humans, most recombination events occur in a small fraction of the genome. These hotspots of recombination show considerable variation in intensity and/or location across species and, potentially, across human populations. On a larger scale, the patterns of recombination rates have been mostly investigated in individuals of European ancestry, and it remains unknown whether the results obtained can be directly applied to other human populations. Here, we investigate this question using genome-wide polymorphism data. We show that population recombination rates recapitulate a large part of the genetic map information, regardless of the population considered. We also show that the ratio of the population recombination rate estimate of two populations is overall constant along the chromosomes. These two observations support the hypothesis that large-scale recombination patterns are conserved across human populations. Local deviations from the overall pattern of conservation of the recombination rates can be used to select candidate regions with large polymorphic inversions or under local selection.

Indexed as

Genetics, PopulationPolymorphism, GeneticAsianBlack or African AmericanChromosomes, HumanGenome, HumanGenomicsHumansRecombination, GeneticWhite People

Identifiers

PMID16251464
PMCPMC1310642

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.