Evidence map›Paper›PMID 12502794›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Sequence variations in the public human genome data reflect a bottlenecked population history.

Gabor Marth, Greg Schuler, Raymond Yeh, Ruth Davenport, Richa Agarwala, Deanna Church, Sarah Wheelan, Jonathan Baker, Ming Ward, Michael Kholodov and 10 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Implications of population structure and ancestry on asthma genetic studies.Current opinion in allergy and clinical immunology · 2014
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Cattle demographic history modelled from autosomal sequence variation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Statistical evaluation of alternative models of human evolution.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  17. Article
  18. Article
  19. Interrogating multiple aspects of variation in a full resequencing data set to infer human population size changes.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
  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

20 authors.

Gabor MarthNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA. marth@ncbi.nlm.nih.gov
Greg Schuler
Raymond Yeh
Ruth Davenport
Richa Agarwala
Deanna Church
Sarah Wheelan
Jonathan Baker
Ming Ward
Michael Kholodov
Lon Phan
Eva Czabarka
Janos Murvai
David Cutler
Stephen Wooding
Alan Rogers
Aravinda Chakravarti
Henry C Harpending
Pui-Yan Kwok
Stephen T Sherry

Funding

TECHNOLOGIES FOR DIALLELIC MARKER DISCOVERY AND TESTINGR01HG001720 · NHGRI · WASHINGTON UNIVERSITY · PI KWOK, PUI-YAN · 1997 to 2007
$9.6M
NCBI Production Resource DevelopmentZ01LM000160 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OSTELL, JAMES M · 2002 to 2006
–
NHGRI NIH HHS HG01720NHGRI NIH HHS R01 HG001720
6 · The paper itself

Abstract

Single-nucleotide polymorphisms (SNPs) constitute the great majority of variations in the human genome, and as heritable variable landmarks they are useful markers for disease mapping and resolving population structure. Redundant coverage in overlaps of large-insert genomic clones, sequenced as part of the Human Genome Project, comprises a quarter of the genome, and it is representative in terms of base compositional and functional sequence features. We mined these regions to produce 500,000 high-confidence SNP candidates as a uniform resource for describing nucleotide diversity and its regional variation within the genome. Distributions of marker density observed at different overlap length scales under a model of recombination and population size change show that the history of the population represented by the public genome sequence is one of collapse followed by a recent phase of mild size recovery. The inferred times of collapse and recovery are Upper Paleolithic, in agreement with archaeological evidence of the initial modern human colonization of Europe.

Indexed as

Databases, Nucleic AcidGenetic VariationGenome, HumanGene FrequencyGenetic MarkersGenetics, PopulationHumansModels, GeneticRecombination, GeneticReproducibility of ResultsSequence Analysis, DNATime FactorsGenetic Markers

Identifiers

PMID12502794
PMCPMC140982

What OpenQuestion holds

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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.