Evidence map›Paper›PMID 25271088›Full record

ArticleEuropean journal of human genetics : EJHG2015

Gene by stress genome-wide interaction analysis and path analysis identify EBF1 as a cardiovascular and metabolic risk gene.

Abanish Singh, Michael A Babyak, Daniel K Nolan, Beverly H Brummett, Rong Jiang, Ilene C Siegler, William E Kraus, Svati H Shah, Redford B Williams, Elizabeth R Hauser

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  7. Heliyon · 2024
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  10. Genetic contributions to risk of adverse pregnancy outcomes.Current cardiovascular risk reports · 2023
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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

10 authors at 3 institutions in 1 country.

Abanish Singh1] Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC, USA [2] Center for Human Genetics, Duke University Medical Center, Durham, NC, USA [3] Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Michael A Babyak1] Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC, USA [2] Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Daniel K NolanCenter for Human Genetics, Duke University Medical Center, Durham, NC, USA.
Beverly H Brummett1] Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC, USA [2] Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Rong Jiang1] Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC, USA [2] Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Ilene C Siegler1] Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC, USA [2] Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
William E Kraus1] Department of Medicine, Duke University Medical Center, Durham, NC, USA [2] Duke Center for Living, Duke University Medical Center, Durham, NC, USA.
Svati H Shah1] Center for Human Genetics, Duke University Medical Center, Durham, NC, USA [2] Department of Medicine, Duke University Medical Center, Durham, NC, USA.
Redford B Williams1] Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC, USA [2] Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
Elizabeth R Hauser1] Center for Human Genetics, Duke University Medical Center, Durham, NC, USA [2] Department of Medicine, Duke University Medical Center, Durham, NC, USA [3] Durham Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, Durham, NC, USA.
Duke Medical Center · USCenter for Human Genetics · USDuke University Hospital · US

Funding

The Genetics Of Biobehavioral Risk Factors For CVDP01HL036587 · NHLBI · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 1986 to 2020
$35.9M
GENECARD-Gene Identification in Early-Onset CADR01HL073389 · NHLBI · DUKE UNIVERSITY · PI HAUSER, ELIZABETH R · 2003 to 2007
$3.5M
Metabolomic Quantitative Trait Locus (mQTL) Genetic Mapping in Human CVDR01HL095987 · NHLBI · DUKE UNIVERSITY · PI SHAH, SVATI H. · 2009 to 2013
$3.4M
NHLBI NIH HHS HL036587NHLBI NIH HHS HL073389-01NHLBI NIH HHS HL095987NHLBI NIH HHS P01 HL036587NHLBI NIH HHS R01 HL073389NHLBI NIH HHS R01 HL095987
6 · The paper itself

Abstract

We performed gene-environment interaction genome-wide association analysis (G × E GWAS) to identify SNPs whose effects on metabolic traits are modified by chronic psychosocial stress in the Multi-Ethnic Study of Atherosclerosis (MESA). In Whites, the G × E GWAS for hip circumference identified five SNPs within the Early B-cell Factor 1 (EBF1) gene, all of which were in strong linkage disequilibrium. The gene-by-stress interaction (SNP × STRESS) term P-values were genome-wide significant (Ps = 7.14E-09 to 2.33E-08, uncorrected; Ps = 1.99E-07 to 5.18E-07, corrected for genomic control). The SNP-only (without interaction) model P-values (Ps = 0.011-0.022) were not significant at the conventional genome-wide significance level. Further analysis of related phenotypes identified gene-by-stress interaction effects for waist circumference, body mass index (BMI), fasting glucose, type II diabetes status, and common carotid intimal-medial thickness (CCIMT), supporting a proposed model of gene-by-stress interaction that connects cardiovascular disease (CVD) risk factor endophenotypes such as central obesity and increased blood glucose or diabetes to CVD itself. Structural equation path analysis suggested that the path from chronic psychosocial stress to CCIMT via hip circumference and fasting glucose was larger (estimate = 0.26, P = 0.033, 95% CI = 0.02-0.49) in the EBF1 rs4704963 CT/CC genotypes group than the same path in the TT group (estimate = 0.004, P = 0.34, 95% CI = -0.004-0.012). We replicated the association of the EBF1 SNPs and hip circumference in the Framingham Offspring Cohort (gene-by-stress term P-values = 0.007-0.012) as well as identified similar path relationships. This observed and replicated interaction between psychosocial stress and variation in the EBF1 gene may provide a biological hypothesis for the complex relationship between psychosocial stress, central obesity, diabetes, and cardiovascular disease.

Indexed as

Gene-Environment InteractionPolymorphism, Single NucleotideAtherosclerosisEndophenotypesGenome-Wide Association StudyHumansMetabolic SyndromeObesitySocioeconomic FactorsTrans-ActivatorsEBF1 protein, humanTrans-Activators

Identifiers

PMID25271088
PMCPMC4795045
OpenAlexW2092992313

What OpenQuestion holds

Textmetadata
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Registered trials

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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.