Evidence map›Paper›PMID 25940791›Full record

ArticleGenetic epidemiology2015

Influence of Smoking Status and Intensity on Discovery of Blood Pressure Loci Through Gene-Smoking Interactions.

Jacob Basson, Yun Ju Sung, Lisa de las Fuentes, Karen Schwander, L Adrienne Cupples, D C Rao

Abstract read
In one paragraph

Article in Genetic epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Genetics of Hypertension: From Monogenic Analysis to GETomics.Journal of cardiovascular development and disease · 2024
    Review
  5. Review
  6. Review
  7. Article
  8. Article
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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

6 authors.

Jacob Basson *Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.
Yun Ju Sung *Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.
Lisa de las FuentesDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.
Karen SchwanderDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.
L Adrienne CupplesThe Framingham Heart Study, Framingham, MA, 01702, USA.
D C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.

Funding

A Multi-Ethnic Study of Gene-Lifestyle Interactions in Cardiovascular TraitsR01HL118305 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2014 to 2017
$8.3M
Post-Doctoral Research Training in Genetic EpidemiologyT32HL091823 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2008 to 2017
$2.1M
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
STATISTICAL METHODS FOR GENOMIC DISSECTION OF CARDIOVASCULAR DISEASESK25HL121091 · NHLBI · WASHINGTON UNIVERSITY · PI SUNG, YUNJU · 2014 to 2018
$760k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS K25 HL121091NHLBI NIH HHS K25HL121091NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL107552NHLBI NIH HHS R01 HL118305NHLBI NIH HHS T32 HL091823
6 · The paper itself

Abstract

backgroundGenetic variation accounts for approximately 30% of blood pressure (BP) variability but most of that variability has not been attributed to specific variants. Interactions between genes and BP-associated factors may explain some "missing heritability." Cigarette smoking increases BP after short-term exposure and decreases BP with longer exposure. Gene-smoking interactions have discovered novel BP loci, but the contribution of smoking status and intensity to gene discovery is unknown.

methodsWe analyzed gene-smoking intensity interactions for association with systolic BP (SBP) in three subgroups from the Framingham Heart Study: current smokers only (N = 1,057), current and former smokers ("ever smokers," N = 3,374), and all subjects (N = 6,710). We used three smoking intensity variables defined at cutoffs of 10, 15, and 20 cigarettes per day (CPD). We evaluated the 1 degree-of-freedom (df) interaction and 2df joint test using generalized estimating equations.

resultsAnalysis of current smokers using a CPD cutoff of 10 produced two loci associated with SBP. The rs9399633 minor allele was associated with increased SBP (5 mmHg) in heavy smokers (CPD > 10) but decreased SBP (7 mmHg) in light smokers (CPD ≤ 10). The rs11717948 minor allele was associated with decreased SBP (8 mmHg) in light smokers but decreased SBP (2 mmHg) in heavy smokers. Across all nine analyses, 19 additional loci reached P < 1 × 10(-6). DISCUSSION: Analysis of current smokers may have the highest power to detect gene-smoking interactions, despite the reduced sample size. Associations of loci near SASH1 and KLHL6/KLHL24 with SBP may be modulated by tobacco smoking.

Indexed as

AdultAgedAllelesBlood PressureCarrier ProteinsFemaleGenetic LociGenetic VariationGenotypeHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideRepressor ProteinsSmokingCarrier ProteinsKLHL24 protein, humanKLHL6 protein, humanRepressor ProteinsSASH1 protein, humanTumor Suppressor Proteinsblood pressurecardiovascular geneticsgene interactionssmoking

Identifiers

PMID25940791
PMCPMC4543586

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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.