Evidence map›Paper›PMID 24922540›Full record

ArticlePLoS genetics2014

Genetic determinants of long-term changes in blood lipid concentrations: 10-year follow-up of the GLACIER study.

Tibor V Varga, Emily Sonestedt, Dmitry Shungin, Robert W Koivula, Göran Hallmans, Stefan A Escher, Inês Barroso, Peter Nilsson, Olle Melander, Marju Orho-Melander and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

12 authors at 3 institutions in 3 countries.

Tibor V VargaDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden.
Emily SonestedtDepartment of Clinical Sciences, Diabetes and Cardiovascular Disease - Genetic Epidemiology, Skåne University Hospital, Malmö, Sweden.
Dmitry ShunginDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden; Department of Odontology, Umeå University, Umeå, Sweden; Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden.
Robert W KoivulaDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden.
Göran HallmansDepartment of Biobank Research, Umeå University, Umeå, Sweden.
Stefan A EscherDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden.
Inês BarrosoNIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom; University of Cambridge, Metabolic Research Laboratories Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
Peter NilssonDepartment of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Olle MelanderDepartment of Clinical Sciences, Hypertension and Cardiovascular Diseases, Skåne University Hospital, Malmö, Sweden.
Marju Orho-MelanderDepartment of Clinical Sciences, Diabetes and Cardiovascular Disease - Genetic Epidemiology, Skåne University Hospital, Malmö, Sweden.
Frida RenströmDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden; Department of Biobank Research, Umeå University, Umeå, Sweden.
Paul W FranksDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden; Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden; Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Skåne University Hospital · SEUmeå University · SEWellcome Sanger Institute · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Recent genome-wide meta-analyses identified 157 loci associated with cross-sectional lipid traits. Here we tested whether these loci associate (singly and in trait-specific genetic risk scores [GRS]) with longitudinal changes in total cholesterol (TC) and triglyceride (TG) levels in a population-based prospective cohort from Northern Sweden (the GLACIER Study). We sought replication in a southern Swedish cohort (the MDC Study; N = 2,943). GLACIER Study participants (N = 6,064) were genotyped with the MetaboChip array. Up to 3,495 participants had 10-yr follow-up data available in the GLACIER Study. The TC- and TG-specific GRSs were strongly associated with change in lipid levels (β = 0.02 mmol/l per effect allele per decade follow-up, P = 2.0 × 10(-11) for TC; β = 0.02 mmol/l per effect allele per decade follow-up, P = 5.0 × 10(-5) for TG). In individual SNP analysis, one TC locus, apolipoprotein E (APOE) rs4420638 (β = 0.12 mmol/l per effect allele per decade follow-up, P = 2.0 × 10(-5)), and two TG loci, tribbles pseudokinase 1 (TRIB1) rs2954029 (β = 0.09 mmol/l per effect allele per decade follow-up, P = 5.1 × 10(-4)) and apolipoprotein A-I (APOA1) rs6589564 (β = 0.31 mmol/l per effect allele per decade follow-up, P = 1.4 × 10(-8)), remained significantly associated with longitudinal changes for the respective traits after correction for multiple testing. An additional 12 loci were nominally associated with TC or TG changes. In replication analyses, the APOE rs4420638, TRIB1 rs2954029, and APOA1 rs6589564 associations were confirmed (P ≤ 0.001). In summary, trait-specific GRSs are robustly associated with 10-yr changes in lipid levels and three individual SNPs were strongly associated with 10-yr changes in lipid levels.

Indexed as

AgedApolipoprotein A-IApolipoproteins ECholesterolCohort StudiesCross-Sectional StudiesFemaleGenome-Wide Association StudyGenotypeHumansIntracellular Signaling Peptides and ProteinsLife StyleLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotideAPOA1 protein, humanApolipoprotein A-IApolipoproteins ECholesterolIntracellular Signaling Peptides and ProteinsProtein Serine-Threonine KinasesTRIB1 protein, humanTriglycerides

Identifiers

PMID24922540
PMCPMC4055682
OpenAlexW2125031063

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.