Evidence map›Paper›PMID 19018513›Full record

ArticleDiabetologia2009

The association of common genetic variants in the APOA5, LPL and GCK genes with longitudinal changes in metabolic and cardiovascular traits.

R J Webster, N M Warrington, M N Weedon, A T Hattersley, P A McCaskie, J P Beilby, L J Palmer, T M Frayling

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Article in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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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

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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

R J WebsterCentre for Genetic Epidemiology and Biostatistics, University of Western Australia, B Block, Queen Elizabeth II Medical Centre, Nedlands, WA 6009, Australia. bwebster@meddent.uwa.edu.au
N M Warrington
M N Weedon
A T Hattersley
P A McCaskie
J P Beilby
L J Palmer
T M Frayling

Funding

Medical Research Council G0500070
6 · The paper itself

Abstract

aims/hypothesisCommon genetic variants influence plasma triacylglycerol, HDL-cholesterol (HDL-C) and glucose levels in cross-sectional studies. However, the longitudinal effects of these established variants have not been studied. Our aim was to examine the longitudinal associations of four such variants in the apolipoprotein A-V (APOA5), lipoprotein lipase (LPL), and glucokinase (GCK) genes with fasting glucose or lipid levels.

methodsThe individuals analysed were participants in the Busselton Health Survey (n = 4,554). Cross-sectional analyses of family data used the total association test. Longitudinal association analyses of unrelated participant data (n = 2,864) used linear mixed-effects models.

resultsThe findings of cross-sectional association analyses replicated those of previous studies. We observed associations of the G and C alleles at the APOA5 single nucleotide polymorphisms (SNPs) rs662799 and rs3135506 with raised triacylglycerol levels (p = 0.0003 and p < 0.0001, respectively), the 447X allele at the LPL SNP rs328 with reduced triacylglycerol levels (p = 0.0004) and raised HDL-C levels (p = 0.0004), and the A allele of the GCK SNP rs1799884 with raised fasting glucose level (p = 0.015). Longitudinal association analyses showed that most of these associations did not change in the same individuals over an average follow-up time of 17.4 years, though there was some evidence that the association of the 447X allele of rs328 with raised HDL-C level significantly increased with age (p = 0.01), and that the association of the C allele of rs3135506 with raised triacylglycerol level significantly increased over time (p = 0.0007). CONCLUSIONS/

interpretationThe current study suggests that the effects of established gene variants on lipid and glucose traits do not tend to alter with age during adulthood or over time.

Indexed as

Genetic VariationPolymorphism, Single NucleotideAdolescentAdultApolipoprotein A-VApolipoproteins AAustraliaBlood GlucoseDNAGlucokinaseHealth SurveysHumansLipidsLipoprotein LipaseLongitudinal StudiesMiddle AgedAPOA5 protein, humanApolipoprotein A-VApolipoproteins ABlood GlucoseDNAGlucokinaseLipidsLipoprotein LipaseTriglycerides

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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.