Evidence map›Paper›PMID 18196181›Full record

ArticlePloS one2008

Correction of population stratification in large multi-ethnic association studies.

David Serre, Alexandre Montpetit, Guillaume Paré, James C Engert, Salim Yusuf, Bernard Keavney, Thomas J Hudson, Sonia Anand

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 6 pooled it
4.4field-weighted citation impact, top 5% 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, 6 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  4. E-cadherin gene methylation in lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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  16. Exploring unknowns in cardiology.Nature reviews. Cardiology · 2014
    Review
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  20. Generalizability and epidemiologic characterization of eleven colorectal cancer GWAS hits in multiple populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    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

8 authors at 4 institutions in 1 country.

David SerreGenome Quebec Innovation Centre, McGill University, Montreal, Quebec, Canada.
Alexandre Montpetit
Guillaume Paré
James C Engert
Salim Yusuf
Bernard Keavney
Thomas J Hudson
Sonia Anand
McGill University and Génome Québec Innovation Centre · CAMcGill University · CAMcMaster University · CAOntario Institute for Cancer Research · CA

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe vast majority of genetic risk factors for complex diseases have, taken individually, a small effect on the end phenotype. Population-based association studies therefore need very large sample sizes to detect significant differences between affected and non-affected individuals. Including thousands of affected individuals in a study requires recruitment in numerous centers, possibly from different geographic regions. Unfortunately such a recruitment strategy is likely to complicate the study design and to generate concerns regarding population stratification. METHODOLOGY/PRINCIPAL

findingsWe analyzed 9,751 individuals representing three main ethnic groups - Europeans, Arabs and South Asians - that had been enrolled from 154 centers involving 52 countries for a global case/control study of acute myocardial infarction. All individuals were genotyped at 103 candidate genes using 1,536 SNPs selected with a tagging strategy that captures most of the genetic diversity in different populations. We show that relying solely on self-reported ethnicity is not sufficient to exclude population stratification and we present additional methods to identify and correct for stratification. CONCLUSIONS/SIGNIFICANCE: Our results highlight the importance of carefully addressing population stratification and of carefully "cleaning" the sample prior to analyses to obtain stronger signals of association and to avoid spurious results.

Indexed as

EthnicityGenetics, PopulationApolipoproteins BGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideRisk FactorsApolipoproteins B

Identifiers

PMID18196181
PMCPMC2198793
OpenAlexW2023474682

What OpenQuestion holds

Textmetadata
LicenceCC0
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.