Evidence map›Paper›PMID 25474351›Full record

ArticlePLoS genetics2014

Detection of pleiotropy through a Phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) study.

Molly A Hall, Anurag Verma, Kristin D Brown-Gentry, Robert Goodloe, Jonathan Boston, Sarah Wilson, Bob McClellan, Cara Sutcliffe, Holly H Dilks, Nila B Gillani and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  14. Observational
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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

17 authors at 3 institutions in 1 country.

Molly A HallCenter for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Anurag VermaCenter for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Kristin D Brown-GentryCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Robert GoodloeCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Jonathan BostonCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Sarah WilsonCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Bob McClellanCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Cara SutcliffeCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Holly H DilksCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America.
Nila B GillaniCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Hailing JinCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Ping MayoCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Melissa AllenCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Nathalie Schnetz-BoutaudCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
Dana C CrawfordCenter for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America.
Marylyn D RitchieCenter for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Sarah A PendergrassCenter for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Center for Human Genetics · USPennsylvania State University · USVanderbilt University · US

Funding

Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01HG004798NHLBI NIH HHS N01 HV048195NHLBI NIH HHS N01-HV-48195
6 · The paper itself

Abstract

We performed a Phenome-wide association study (PheWAS) utilizing diverse genotypic and phenotypic data existing across multiple populations in the National Health and Nutrition Examination Surveys (NHANES), conducted by the Centers for Disease Control and Prevention (CDC), and accessed by the Epidemiological Architecture for Genes Linked to Environment (EAGLE) study. We calculated comprehensive tests of association in Genetic NHANES using 80 SNPs and 1,008 phenotypes (grouped into 184 phenotype classes), stratified by race-ethnicity. Genetic NHANES includes three surveys (NHANES III, 1999-2000, and 2001-2002) and three race-ethnicities: non-Hispanic whites (n = 6,634), non-Hispanic blacks (n = 3,458), and Mexican Americans (n = 3,950). We identified 69 PheWAS associations replicating across surveys for the same SNP, phenotype-class, direction of effect, and race-ethnicity at p<0.01, allele frequency >0.01, and sample size >200. Of these 69 PheWAS associations, 39 replicated previously reported SNP-phenotype associations, 9 were related to previously reported associations, and 21 were novel associations. Fourteen results had the same direction of effect across more than one race-ethnicity: one result was novel, 11 replicated previously reported associations, and two were related to previously reported results. Thirteen SNPs showed evidence of pleiotropy. We further explored results with gene-based biological networks, contrasting the direction of effect for pleiotropic associations across phenotypes. One PheWAS result was ABCG2 missense SNP rs2231142, associated with uric acid levels in both non-Hispanic whites and Mexican Americans, protoporphyrin levels in non-Hispanic whites and Mexican Americans, and blood pressure levels in Mexican Americans. Another example was SNP rs1800588 near LIPC, significantly associated with the novel phenotypes of folate levels (Mexican Americans), vitamin E levels (non-Hispanic whites) and triglyceride levels (non-Hispanic whites), and replication for cholesterol levels. The results of this PheWAS show the utility of this approach for exposing more of the complex genetic architecture underlying multiple traits, through generating novel hypotheses for future research.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyPhenotypeAdultEnvironmentEpidemiologic Research DesignEthnicityFemaleGene FrequencyHumansMaleMiddle AgedNutrition SurveysPolymorphism, Single NucleotideQuantitative Trait, HeritableUnited States

Identifiers

PMID25474351
PMCPMC4256091
OpenAlexW1974858693

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.