Evidence map›Paper›PMID 25063733›Full record

ArticleAmerican journal of hypertension2015

Single nucleotide polymorphism-single nucleotide polymorphism interactions among inflammation genes in the genetic architecture of blood pressure in the Framingham Heart Study.

Jacob J Basson, Lisa de las Fuentes, 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Jacob J BassonDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA; jjbasson@wustl.edu.
Lisa de las FuentesDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA; Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, USA.
Dabeeru C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA;
Washington University in St. Louis · US

Funding

Post-Doctoral Research Training in Genetic EpidemiologyT32HL091823 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2008 to 2017
$2.1M
NHLBI NIH HHS T32 HL091823
6 · The paper itself

Abstract

backgroundHypertension is a major global health burden, but, although systolic and diastolic blood pressure (BP) each have estimated heritability of at least 30%, <3% of their variance has been attributed to particular genetic variants. Few studies have shown interactions between pairs of single nucleotide polymorphisms (SNPs) to be associated with BP. Although many studies use a Bonferroni correction for multiple testing to control type I error, thereby potentially reducing power, false discovery rate (FDR) approaches are also used in genome-wide studies. Renal ion balance genes have been associated with BP regulation, but, although inflammation has been studied in connection with BP, few studies have reported associations between inflammation genes and BP.

methodsWe analyzed SNP-SNP interactions among 31 SNPs from genes involved in renal ion balance and 30 SNPs from genes involved in inflammation using data from the Framingham Heart Study.

resultsNo evidence of association was found for interactions among renal ion balance SNPs for either systolic or diastolic BP. A group of 3 interactions involving 6 inflammation genes (IKBKB-NFKBIA, IKBKE-CHUK, and ADIPOR2-RETN) showed evidence of association with diastolic BP with an FDR of 4.2%; no single interaction reached experiment-wide significance.

conclusionsThis study identified promising and biologically plausible candidates for interactions between inflammation genes that may be associated with DBP. Analysis using the FDR may allow detection of signals in the presence of modest noise (false positives) that a stringent approach based on Bonferroni-corrected P value thresholds may miss.

Indexed as

AdultBlood PressureCohort StudiesEpistasis, GeneticFemaleHumansHypertensionI-kappa B KinaseI-kappa B ProteinsInflammationMaleMiddle AgedNF-KappaB Inhibitor alphaPolymorphism, Single NucleotideReceptors, AdiponectinResistinADIPOR2 protein, humanCHUK protein, humanI-kappa B KinaseI-kappa B ProteinsIKBKB protein, humanIKBKE protein, humanNF-KappaB Inhibitor alphaNFKBIA protein, humanReceptors, AdiponectinResistinRETN protein, humanblood pressurefalse discovery ratehypertensioninflammationinteractionNFκBsingle nucleotide polymorphism.

Identifiers

PMID25063733
PMCPMC4400411
OpenAlexW2314427021

What OpenQuestion holds

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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.