Evidence map›Paper›PMID 23334005›Full record

ArticleAmerican journal of epidemiology2013

Confounding and heterogeneity in genetic association studies with admixed populations.

Jinghua Liu, Juan Pablo Lewinger, Frank D Gilliland, W James Gauderman, David V Conti

Abstract readComparative Study
In one paragraph

Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023
    Review
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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

5 authors.

Jinghua LiuDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Juan Pablo Lewinger
Frank D Gilliland
W James Gauderman
David V Conti

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
Urban Air Pollution and Children's Respiratory HealthP01ES011627 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AVOL, EDWARD · 2002 to 2011
$30.2M
Transdisciplinary Studies of Genetic Variation in Colorectal CancerU19CA148107 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GRUBER, STEPHEN B · 2010 to 2014
$11.1M
A Genome-wide Association Study of Childhood Respiratory OutcomesR01HL087680 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES · 2007 to 2009
$4.1M
HIERARCHICAL MODELING OF INTERACTIONS IN GENOME-WIDE AND PATHWAY-BASED STUDIESR01ES016813 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CONTI, DAVID V · 2009 to 2010
$1.1M
NCI NIH HHS U19 CA148107NHLBI NIH HHS R01 HL087680NHLBI NIH HHS R01HL087680NIEHS NIH HHS P01 ES011627NIEHS NIH HHS P01ES011627NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30ES007048NIEHS NIH HHS R01 ES016813NIEHS NIH HHS R01ES016813
6 · The paper itself

Abstract

Association studies among admixed populations pose many challenges including confounding of genetic effects due to population substructure and heterogeneity due to different patterns of linkage disequilibrium (LD). We use simulations to investigate controlling for confounding by indicators of global ancestry and the impact of including a covariate for local ancestry. In addition, we investigate the use of an interaction term between a single-nucleotide polymorphism (SNP) and local ancestry to capture heterogeneity in SNP effects. Although adjustment for global ancestry can control for confounding, additional adjustment for local ancestry may increase power when the induced admixture LD is in the opposite direction as the LD in the ancestral population. However, if the induced LD is in the same direction, there is the potential for reduced power because of overadjustment. Furthermore, the inclusion of a SNP by local ancestry interaction term can increase power when there is substantial differential LD between ancestry populations. We examine these approaches in genome-wide data using the University of Southern California's Children's Health Study investigating asthma risk. The analysis highlights rs10519951 (P = 8.5 × 10(-7)), a SNP lacking any evidence of association from a conventional analysis (P = 0.5).

Indexed as

Confounding Factors, EpidemiologicGenetic HeterogeneityGenome-Wide Association StudyPolymorphism, Single NucleotideAllelesAsthmaCaliforniaCase-Control StudiesChildComputer SimulationGenetic Predisposition to DiseaseGenome, HumanGenotypeHispanic or LatinoHumansLinear Models

Identifiers

PMID23334005
PMCPMC3626055

What OpenQuestion holds

Textmetadata
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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.