Evidence map›Paper›PMID 18493019›Full record

ArticleGenome research2008

A novel DNA sequence database for analyzing human demographic history.

Jeffrey D Wall, Murray P Cox, Fernando L Mendez, August Woerner, Tesa Severson, Michael F Hammer

Abstract read
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
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  7. Response to HohenloheScience advances · 2017
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  11. Review
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  15. Deep whole-genome sequencing of 100 southeast Asian Malays.American journal of human genetics · 2013
    Article
  16. Great ape genomics.ILAR journal · 2013
    Review
  17. Article
  18. Article
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  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

6 authors.

Jeffrey D WallInstitute for Human Genetics and Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94143, USA.
Murray P Cox
Fernando L Mendez
August Woerner
Tesa Severson
Michael F Hammer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there are now extensive databases of human genomic sequences from both private and public efforts to catalog human nucleotide variation, there are very few large-scale surveys designed for the purpose of analyzing human population history. Demographic inference from patterns of SNP variation in current large public databases is complicated by ascertainment biases associated with SNP discovery and the ways that populations and regions of the genome are sampled. Here, we present results from a resequencing survey of 40 independent intergenic regions on the autosomes and X chromosome comprising ~210 kb from each of 90 humans from six geographically diverse populations (i.e., a total of ~18.9 Mb). Unlike other public DNA sequence databases, we include multiple indigenous populations that serve as important reservoirs of human genetic diversity, such as the San of Namibia, the Biaka of the Central African Republic, and Melanesians from Papua New Guinea. In fact, only 20% of the SNPs that we find are contained in the HapMap database. We identify several key differences in patterns of variability in our database compared with other large public databases, including higher levels of nucleotide diversity within populations, greater levels of differentiation between populations, and significant differences in the frequency spectrum. Because variants at loci included in this database are less likely to be subject to ascertainment biases or linked to sites under selection, these data will be more useful for accurately reconstructing past changes in size and structure of human populations.

Indexed as

Databases, Nucleic AcidDemographyGenetic VariationDNAHaplotypesHumansNucleotidesPolymorphism, Single NucleotideRecombination, GeneticSequence Analysis, DNADNANucleotides

Identifiers

PMID18493019
PMCPMC2493425

What OpenQuestion holds

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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.