Evidence map›Paper›PMID 19641374›Full record

ArticleExperimental & molecular medicine2009

Analysis of genetic and non-genetic factors that affect the QTc interval in a Mongolian population: the GENDISCAN study.

Sun-Wha Im, Mi Kyeong Lee, Hee Jeong Lee, Se-Il Oh, Hyung-Lae Kim, Joohon Sung, Sung-Il Cho, Jeong-Sun Seo, Jong-Il Kim

Erratum issuedOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Experimental & molecular medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. QT prolongation in the STREAM Stage 1 Trial.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    Trial
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Sun-Wha ImDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 110-799, Korea.
Mi Kyeong Lee
Hee Jeong Lee
Se-Il Oh
Hyung-Lae Kim
Joohon Sung
Sung-Il Cho
Jeong-Sun Seo
Jong-Il Kim
Seoul National University · KREwha Womans University · KR

Funding

X-LINKED EXTENSION OF THE REVISED HASEMAN-ELSTON ALGORITHM FOR LINKAGE ANALYSISP41RR003655 · NCRR · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ELSTON, ROBERT C. · 1987 to 2011
$11.5M
NCRR NIH HHS P41 RR003655NCRR NIH HHS RR03655
6 · The paper itself

Abstract

The QTc interval is a complex quantitative trait and a strong prognostic indicator of cardiovascular mortality in general, healthy people. The aim of this study was to identify non-genetic factors and quantitative trait loci that govern the QTc interval in an isolated Mongolian population. We used multiple regression analysis to determine the relationship between the QTc interval and non-genetic factors including height, blood pressure, and the plasma lipid level. Whole genome linkage analyses were performed to reveal quantitative trait loci for the QTc interval with 349 microsatellite markers from 1,080 Mongolian subjects. Among many factors previously known for association with the QTc interval, age, sex, heart rate, QRS duration of electrocardiogram and systolic blood pressure were also found to have influence on the QTc interval. A genetic effect for the QTc interval was identified based on familial correlation with a heritability value of 0.31. In a whole genome linkage analysis, we identified the four potential linkage regions 7q31-34, 5q21, 4q28, and 2q36.

Indexed as

ElectrocardiographyGenome-Wide Association StudyAdolescentAdultAgedAged, 80 and overAge FactorsBlood PressureBody HeightCardiovascular DiseasesChildChild, PreschoolChromosomes, HumanFemaleHeart RateHumans

Identifiers

PMID19641374
PMCPMC2788738
OpenAlexW2127019361

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.