Evidence map›Paper›PMID 16385456›Full record

ArticleAmerican journal of human genetics2006

Variants associated with common disease are not unusually differentiated in frequency across populations.

Kirk E Lohmueller, Matthew M Mauney, David Reich, John M Braverman

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in American journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

30 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  3. Article
  4. Leveraging genetic ancestry to study health disparities.American journal of physical anthropology · 2021
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  5. Review
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  15. Genetic variation and its role in malignancy.International journal of biomedical science : IJBS · 2011
    Article
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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

4 authors at 3 institutions in 1 country.

Kirk E LohmuellerDepartment of Biology, Georgetown University, Washington, DC 20057-1229, USA.
Matthew M Mauney
David Reich
John M Braverman
Georgetown University · USGeorgetown University Medical Center · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variants that contribute to risk of common disease may differ in frequency across populations more than random variants in the genome do, perhaps because they have been exposed to population-specific natural selection. To assess this hypothesis empirically, we analyzed data from two groups of single-nucleotide polymorphisms (SNPs) that have shown reproducible (n = 9) or reported (n = 39) associations with common diseases. We compared the frequency differentiation (between Europeans and Africans) of the disease-associated SNPs with that of random SNPs in the genome. These common-disease-associated SNPs are not significantly more differentiated across populations than random SNPs. Thus, for the data examined here, ethnicity will not be a good predictor of genotype at many common-disease-associated SNPs, just as it is rarely a good predictor of genotype at random SNPs in the genome.

Indexed as

Genetics, PopulationGenetic VariationSelection, GeneticBlack PeopleGene FrequencyGenetic Diseases, InbornHumansPolymorphism, Single NucleotideWhite People

Identifiers

PMID16385456
PMCPMC1380210
OpenAlexW1994199626

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.