Evidence map›Paper›PMID 21143973›Full record

ArticleBMC medical genomics2010

Disease-associated alleles in genome-wide association studies are enriched for derived low frequency alleles relative to HapMap and neutral expectations.

Joseph Lachance

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 41 citations in OpenAlex.

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  15. Inferences of African evolutionary history from genomic data.Current opinion in genetics & development · 2016
    Review
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  18. Population Genomics of Human Adaptation.Annual review of ecology, evolution, and systematics · 2013
    Article
  19. SNP ascertainment bias in population genetic analyses: why it is important, and how to correct it.BioEssays : news and reviews in molecular, cellular and developmental biology · 2013
    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

1 author at 1 institution in 1 country.

Joseph LachanceGraduate Program in Genetics, Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5222, USA. lachance.joseph@gmail.com
University of Pennsylvania · US

Funding

GENETICST32GM007964 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI THOMSEN, GERALD H · 1985 to 2012
$2.7M
NIGMS NIH HHS 5 T32 GM007964-24
6 · The paper itself

Abstract

backgroundGenome-wide association studies give insight into the genetic basis of common diseases. An open question is whether the allele frequency distributions and ancestral vs. derived states of disease-associated alleles differ from the rest of the genome. Characteristics of disease-associated alleles can be used to increase the yield of future studies.

methodsThe set of all common disease-associated alleles found in genome-wide association studies prior to January 2010 was analyzed and compared with HapMap and theoretical null expectations. In addition, allele frequency distributions of different disease classes were assessed. Ages of HapMap and disease-associated alleles were also estimated.

resultsThe allele frequency distribution of HapMap alleles was qualitatively similar to neutral expectations. However, disease-associated alleles were more likely to be low frequency derived alleles relative to null expectations. 43.7% of disease-associated alleles were ancestral alleles. The mean frequency of disease-associated alleles was less than randomly chosen CEU HapMap alleles (0.394 vs. 0.610, after accounting for probability of detection). Similar patterns were observed for the subset of disease-associated alleles that have been verified in multiple studies. SNPs implicated in genome-wide association studies were enriched for young SNPs compared to randomly selected HapMap loci. Odds ratios of disease-associated alleles tended to be less than 1.5 and varied by frequency, confirming previous studies.

conclusionsAlleles associated with genetic disease differ from randomly selected HapMap alleles and neutral expectations. The evolutionary history of alleles (frequency and ancestral vs. derived state) influences whether they are implicated in genome-wide association studies.

Indexed as

Gene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyDiseaseGenome, HumanHumansOdds RatioPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID21143973
PMCPMC3017004
OpenAlexW2091390191

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.