Evidence map›Paper›PMID 12817591›Full record

ArticleAmerican journal of human genetics2003

Control of confounding of genetic associations in stratified populations.

Clive J Hoggart, Eteban J Parra, Mark D Shriver, Carolina Bonilla, Rick A Kittles, David G Clayton, Paul M McKeigue

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
263citing papers in PubMed, 4 pooled it
–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

263 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Genetic variation associated with preterm birth in African-American women.American journal of obstetrics and gynecology · 2016
    Trial
  8. Trial
  9. Trial
  10. Article
  11. Genetic predictors for bacterial vaginosis in women living with and at risk for HIV infection.American journal of reproductive immunology (New York, N.Y. : 1989) · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

203 more citing papers are in PubMed but not listed here.

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

7 authors.

Clive J HoggartEpidemiology Unit, London School of Hygiene and Tropical Medicine, Umited Kingdom. clive.hoggart@lshtm.ac.uk
Eteban J Parra
Mark D Shriver
Carolina Bonilla
Rick A Kittles
David G Clayton
Paul M McKeigue

Funding

CONSTRUCTION AND APPLICATION OF A US ADMIXTURE MAPR01HG002154 · NHGRI · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI SHRIVER, MARK D · 1999 to 2006
$1.7M
IDENTIFYING NIDDM GENES USING ADMIXED POPULATIONSR01DK053958 · NIDDK · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI SHRIVER, MARK D · 1998 to 2001
$366k
GENES UNDERLYING ETHNIC DIFFERENCES IN DISEASE RISKR01MH060343 · NIMH · U OF L LONDON SCH/HYGIENE &TROPICAL MED · PI MCKEIGUE, PAUL M · 2000 to 2002
$350k
NHGRI NIH HHS HG-02154NHGRI NIH HHS R01 HG002154NIDDK NIH HHS DK53958NIDDK NIH HHS R01 DK053958NIMH NIH HHS MH60343Wellcome Trust
6 · The paper itself

Abstract

To control for hidden population stratification in genetic-association studies, statistical methods that use marker genotype data to infer population structure have been proposed as a possible alternative to family-based designs. In principle, it is possible to infer population structure from associations between marker loci and from associations of markers with the trait, even when no information about the demographic background of the population is available. In a model in which the total population is formed by admixture between two or more subpopulations, confounding can be estimated and controlled. Current implementations of this approach have limitations, the most serious of which is that they do not allow for uncertainty in estimations of individual admixture proportions or for lack of identifiability of subpopulations in the model. We describe methods that overcome these limitations by a combination of Bayesian and classical approaches, and we demonstrate the methods by using data from three admixed populations--African American, African Caribbean, and Hispanic American--in which there is extreme confounding of trait-genotype associations because the trait under study (skin pigmentation) varies with admixture proportions. In these data sets, as many as one-third of marker loci show crude associations with the trait. Control for confounding by population stratification eliminates these associations, except at loci that are linked to candidate genes for the trait. With only 32 markers informative for ancestry, the efficiency of the analysis is 70%. These methods can deal with both confounding and selection bias in genetic-association studies, making family-based designs unnecessary.

Indexed as

Confounding Factors, EpidemiologicGenetics, PopulationModels, GeneticBayes TheoremBlack or African AmericanBlack PeopleCase-Control StudiesFemaleGenetic MarkersGenotypeHumansMaleMarkov ChainsMonte Carlo MethodPolymorphism, GeneticQuantitative Trait, HeritableGenetic Markers

Identifiers

PMID12817591
PMCPMC1180309

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.