Evidence map›Paper›PMID 14975130›Full record

ArticleBMC genetics2003

Bivariate linkage analysis of cholesterol and triglyceride levels in the Framingham Heart Study.

Xuyang Zhang, Kai Wang, Framingham Heart Study

Abstract read
In one paragraph

Article in BMC genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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.

Xuyang ZhangDepartment of Biostatistics, Division of Statistical Genetics, The University of Iowa, Iowa City, Iowa, USA. xuyang-zhang@uiowa.edu
Kai Wang
Framingham Heart Study

Funding

NIDCD NIH HHS P0-DC-02748PHS HHS R01-52841
6 · The paper itself

Abstract

We performed a bivariate analysis on cholesterol and triglyceride levels on data from the Framingham Heart Study using a new score statistic developed for the detection of potential pleiotropic, or cluster, genes. Univariate score statistics were also computed for each trait. At a significance level 0.001, linkage signals were found at markers GATA48B01 on chromosome 1, GATA21C12 on chromosome 8, and ATA55A11 on chromosome 16 using the bivariate analysis. At the same significance level, linkage signals were found at markers 036yb8 on chromosome 3 and GATA3F02 on chromosome 12 using the univariate analysis. A strong linkage signal was also found at marker GATA112F07 by both the bivariate analysis and the univariate analysis, a marker for which evidence for linkage had been reported previously in a related study.

Indexed as

Age FactorsCardiovascular DiseasesCholesterolChromosome MappingChromosomes, Human, Pair 1Chromosomes, Human, Pair 12Chromosomes, Human, Pair 16Chromosomes, Human, Pair 3Chromosomes, Human, Pair 8Cohort StudiesConfidence IntervalsGenetic LinkageGenetic MarkersHumansMatched-Pair AnalysisMultigene FamilyCholesterolGenetic MarkersTriglycerides

Identifiers

PMID14975130
PMCPMC1866500

What OpenQuestion holds

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LicenceCC BY
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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.