Evidence map›Paper›PMID 17999361›Full record

ArticleAmerican journal of human genetics2007

The structure of common genetic variation in United States populations.

Stephen L Guthery, Benjamin A Salisbury, Manish S Pungliya, J Claiborne Stephens, Michael Bamshad

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.7field-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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  8. Observational
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  10. Transferability of genome-wide associated loci for asthma in African Americans.The Journal of asthma : official journal of the Association for the Care of Asthma · 2017
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors at 4 institutions in 1 country.

Stephen L GutheryDepartment of Pediatrics, University of Utah, Salt Lake City, UT, USA.
Benjamin A Salisbury
Manish S Pungliya
J Claiborne Stephens
Michael Bamshad
Biohaven Pharmaceuticals (United States) · USMotif BioSciences (United States) · USUniversity of Utah · USUniversity of Washington · US

Funding

Vascular stabilization as a broad theraprutic platform for biodefenseU54AI065357 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI SLAYDEN, RICHARD A · 2005 to 2013
$77.5M
Genetic basis of IBD susceptibility &steroid responseK23DK069513 · NIDDK · UNIVERSITY OF UTAH · PI GUTHERY, STEPHEN L · 2005 to 2008
$540k
NIAID NIH HHS AI065357NIAID NIH HHS U54 AI065357NIDDK NIH HHS DK069513NIDDK NIH HHS K23 DK069513
6 · The paper itself

Abstract

The common-variant/common-disease model predicts that most risk alleles underlying complex health-related traits are common and, therefore, old and found in multiple populations, rather than being rare or population specific. Accordingly, there is widespread interest in assessing the population structure of common alleles. However, such assessments have been confounded by analysis of data sets with bias toward ascertainment of common alleles (e.g., HapMap and Perlegen) or in which a relatively small number of genes and/or populations were sampled. The aim of this study was to examine the structure of common variation ascertained in major U.S. populations, by resequencing the exons and flanking regions of 3,873 genes in 154 chromosomes from European, Latino/Hispanic, Asian, and African Americans generated by the Genaissance Resequencing Project. The frequency distributions of private and common single-nucleotide polymorphisms (SNPs) were measured, and the extent to which common SNPs were shared across populations was analyzed using several different estimators of population structure. Most SNPs that were common in one population were present in multiple populations, but SNPs common in one population were frequently not common in other populations. Moreover, SNPs that were common in two or more populations often differed significantly in frequency from one population to another, particularly in comparisons of African Americans versus other U.S. populations. These findings indicate that, even if the bulk of alleles underlying complex health-related traits are common SNPs, geographic ancestry might well be an important predictor of whether a person carries a risk allele.

Indexed as

Genetics, PopulationGenetic VariationPolymorphism, Single Nucleotide3' Untranslated Regions5' Untranslated RegionsCell Line, TransformedDNAEthnicityGenetic Diseases, InbornGenotypeHerpesvirus 4, HumanHumansRisk FactorsUnited States3' Untranslated Regions5' Untranslated RegionsDNA

Identifiers

PMID17999361
PMCPMC2276358
OpenAlexW2142243300

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.