Evidence map›Paper›PMID 26556563›Full record

ArticleJournal of hypertension2016

Genetic association of left ventricular mass assessed by M-mode and two-dimensional echocardiography.

Ruteja A Barve, C Charles Gu, Wei Yang, Jian Chu, Victor G Dávila-Román, Lisa de las Fuentes

Abstract read
In one paragraph

Article in Journal of hypertension, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 6 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

6 authors at 2 institutions in 1 country.

Ruteja A BarveaDivision of Biostatistics bDepartment of Genetics cCardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
C Charles Gu
Wei Yang
Jian Chu
Victor G Dávila-Román
Lisa de las Fuentes
Cancer Research And Biostatistics · USWashington University in St. Louis · US

Funding

Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
GENETIC DETERMINANTS OF THE LVH PHENOTYPER01HL071782 · NHLBI · WASHINGTON UNIVERSITY · PI DAVILA-ROMAN, VICTOR G., GU, C CHARLES · 2003 to 2010
$4.7M
Pre-doctoral Research Training in Human Genetic EpidemiologyT32HL083822 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2008 to 2012
$1.2M
VARIABLE SELECTION IN GENETIC EPIDEMIOLOGICAL STUDIES OF CARDIOVASCULAR DISEASESR01HL091028 · NHLBI · WASHINGTON UNIVERSITY · PI GU, C CHARLES · 2008 to 2010
$913k
MYOCARDIAL FA METABOLISM GENE-GENE INTERACTIONS IN HYPERTENSIVE HEART DISEASER21HL094668 · NHLBI · WASHINGTON UNIVERSITY · PI DE LAS FUENTES, LISA · 2009 to 2010
$418k
ULTRASOUND SYSTEM FOR CARDIOVASCULAR PHENOTYPE STUDIES IN HUMANSS10RR024532 · NCRR · WASHINGTON UNIVERSITY · PI DAVILA-ROMAN, VICTOR G. · 2009 to 2009
$237k
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NCRR NIH HHS KL2 RR024994NCRR NIH HHS KL2RR024994NCRR NIH HHS S10 RR024532NCRR NIH HHS S10RR024532NCRR NIH HHS UL1 RR024992NCRR NIH HHS UL1RR024992NHLBI NIH HHS L30 HL074749NHLBI NIH HHS R01 HL071782NHLBI NIH HHS R01HL071782NHLBI NIH HHS R01 HL091028NHLBI NIH HHS R01HL091028NHLBI NIH HHS R21 HL094668NHLBI NIH HHS R21HL094668NHLBI NIH HHS T32 HL083822NHLBI NIH HHS T32HL083822
6 · The paper itself

Abstract

backgroundLeft ventricular mass offers prognostic information for assessing cardiovascular disease risk. M-mode and two-dimensional (2D) echocardiographically-derived left ventricular mass values have shown high accuracy and reproducibility; however, no studies to date have compared left ventricular mass genetic association findings on the basis of both the methods. The aim of this study was to compare associations of single-nucleotide polymorphisms (SNPs) from genome-wide association study analyses of left ventricular mass using both methods in the same cohort. METHODS AND

resultsLeft ventricular mass was determined using 2D and M-mode echocardiography in 711 patients (390 women); SNP genotype data were obtained using the Genome-wide Human SNP Array 6.0. Genome-wide association study analyses were performed to obtain panels of SNPs associated with left ventricular mass and left ventricular mass index. The unindexed left ventricular mass showed excellent agreement [M-mode: 170 ± 47 vs. 2D: 178 ± 56 g; intraclass correlation coefficient 0.929 (95% confidence interval 0.932, 0.909)]. The presence of left ventricular hypertrophy based on M-mode and 2D-derived left ventricular mass index values showed moderate agreement (kappa = 0.49). Eleven SNPs showed suggestive association with at least two of the four left ventricular mass traits, with one SNP in CDH13 common to all four derived traits.

conclusionM-mode and 2D echocardiography left ventricular mass measurements in the same cohort identified suggestive genetic associations, both shared and unshared, suggesting common left ventricular mass biology underlying the two measures of left ventricular mass. The combined use of M-mode and 2D echo is a novel approach that may increase the yield of genetic association with left ventricular mass.

Indexed as

AdultCadherinsChromosome MappingEchocardiographyFemaleGenome-Wide Association StudyGenotypeHeart VentriclesHumansHypertrophy, Left VentricularMaleMiddle AgedOrgan SizePolymorphism, Single NucleotideCadherinsH-cadherin

Identifiers

PMID26556563
PMCPMC5410384
OpenAlexW2135116383

What OpenQuestion holds

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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.