Evidence map›Paper›PMID 25189868›Full record

ArticleAmerican journal of hypertension2015

Gene-smoking interactions identify several novel blood pressure loci in the Framingham Heart Study.

Yun J Sung, Lisa de las Fuentes, Karen L Schwander, Jeannette Simino, Dabeeru C Rao

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hypertension, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  10. Genetics of Hypertension: From Monogenic Analysis to GETomics.Journal of cardiovascular development and disease · 2024
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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 at 1 institution in 1 country.

Yun J SungDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri; yunju@wubios.wustl.edu.
Lisa de las FuentesDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri; Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.
Karen L SchwanderDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri;
Jeannette SiminoDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri;
Dabeeru C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri; Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.
Washington University in St. Louis · US

Funding

GENE-ENVIRONMENT INTERACTIONS IN THE LONGITUDINAL FRAMINGHAM HEART STUDYR01HL107552 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2011 to 2013
$1.0M
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL107552
6 · The paper itself

Abstract

backgroundCardiovascular diseases are among the most significant health problems in the United States. Blood pressure (BP) variability has a genetic component, and most of the genetic variance remains to be identified. One promising strategy for gene discovery is genome-wide analysis of interactions between single nucleotide polymorphisms (SNPs) and environmental factors related to cardiovascular diseases.

methodsWe investigated SNP-smoking interaction effects on BP in genome-wide data in 6,889 participants from the Framingham Heart Study. We performed the standard 1 degree of freedom (df) test of the interaction effect and the joint 2 df test of main and interaction effects. Three smoking measures were used: cigarettes per day (CPD), pack years of smoking, and smoking status.

resultsWe identified 7 significant and 21 suggestive BP loci. Identified through the joint 2 df test, significant SBP loci include: rs12149862 (P = 3.65×10(-9)) in CYB5B, rs2268365 (P = 4.85×10(-8)) in LRP2, rs133980 (P = 1.71×10(-8) with CPD and P = 1.07×10(-8) with pack-years) near MN1, and rs12634933 (P = 4.05×10(-8)) in MECOM. Through 1 df interaction analysis, 1 suggestive SBP locus at SNP rs8010717 near NRXN3 was identified using all 3 smoking measures (P = 3.27×10(-7) with CPD, P = 1.03×10(-7) with pack-years, and P = 1.19×10(-7) with smoking status).

conclusionsSeveral of these BP loci are biologically plausible, providing physiological connection to BP regulation. Our study demonstrates that SNP-smoking interactions can enhance gene discovery and provide insight into novel pathways and mechanisms regulating BP.

Indexed as

AdultBlood PressureFemaleGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesSmokingblood pressuregene–environment interactiongenome-wide association studyhypertensionsingle nucleotide polymorphismssmoking.

Identifiers

PMID25189868
PMCPMC4402348
OpenAlexW2141750570

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.