Evidence map›Paper›PMID 27864399›Full record

ArticleInternational journal of epidemiology2017

Novel genetic loci associated with long-term deterioration in blood lipid concentrations and coronary artery disease in European adults.

Tibor V Varga, Azra Kurbasic, Mattias Aine, Pontus Eriksson, Ashfaq Ali, George Hindy, Stefan Gustafsson, Jian'an Luan, Dmitry Shungin, Yan Chen and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. A polymorphism in theNagoya journal of medical science · 2026
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  12. Association of theInternational journal of clinical and experimental pathology · 2018
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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

24 authors at 8 institutions in 4 countries.

Tibor V VargaGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Azra KurbasicGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Mattias AineDivision of Oncology and Pathology, Skåne University Hospital, Lund University, Lund, Sweden.
Pontus ErikssonDivision of Oncology and Pathology, Skåne University Hospital, Lund University, Lund, Sweden.
Ashfaq AliGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
George HindyDiabetes and Cardiovascular Disease - Genetic Epidemiology, Skåne University Hospital, Malmö, Sweden.
Stefan GustafssonMolecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Jian'an LuanMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
Dmitry ShunginGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Yan ChenGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Christina-Alexandra SchulzDiabetes and Cardiovascular Disease - Genetic Epidemiology, Skåne University Hospital, Malmö, Sweden.
Peter M NilssonDepartment of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Göran HallmansDepartment of Biobank Research, Umeå University, Umeå, Sweden.
Inês BarrosoWellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Panos DeloukasWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, London, UK.
Claudia LangenbergMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
Robert A ScottMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
Nicholas J WarehamMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Erik IngelssonMolecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Olle MelanderDepartment of Clinical Sciences, Hypertension and Cardiovascular Diseases, Skåne University Hospital, Malmö, Sweden.
Marju Orho-MelanderDiabetes and Cardiovascular Disease - Genetic Epidemiology, Skåne University Hospital, Malmö, Sweden.
Frida RenströmGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Paul W FranksGenetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Skåne University Hospital · SELund University · SEUniversity of Cambridge · GBUmeå University · SEUppsala University · SEKing Abdulaziz University · SAScience for Life Laboratory · SEWellcome Sanger Institute · GB

Funding

British Heart Foundation RG/14/5/30893European Research Council 335395Medical Research Council G0701863Medical Research Council MC_U106179471Medical Research Council MC_UU_12015/1Wellcome TrustWellcome Trust WT064890Wellcome Trust WT090532Wellcome Trust WT098017
6 · The paper itself

Abstract

Background: Cross-sectional genome-wide association studies have identified hundreds of loci associated with blood lipids and related cardiovascular traits, but few genetic association studies have focused on long-term changes in blood lipids. Methods: Participants from the GLACIER Study (Nmax = 3492) were genotyped with the MetaboChip array, from which 29 387 SNPs (single nucleotide polymorphisms; replication, fine-mapping regions and wildcard SNPs for lipid traits) were extracted for association tests with 10-year change in total cholesterol (ΔTC) and triglycerides (ΔTG). Four additional prospective cohort studies (MDC, PIVUS, ULSAM, MRC Ely; Nmax = 8263 participants) were used for replication. We conducted an in silico look-up for association with coronary artery disease (CAD) in the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis (CARDIoGRAMplusC4D) Consortium (N ∼ 190 000) and functional annotation for the top ranking variants. Results: In total, 956 variants were associated (P < 0.01) with either ΔTC or ΔTG in GLACIER. In GLACIER, chr19:50121999 at APOE was associated with ΔTG and multiple SNPs in the APOA1/A4/C3/A5 region at genome-wide significance (P < 5 × 10-8), whereas variants in four loci, DOCK7, BRE, SYNE1 and KCNIP1, reached study-wide significance (P < 1.7 × 10-6). The rs7412 variant at APOE was associated with ΔTC in GLACIER (P < 1.7 × 10-6). In pooled analyses of all cohorts, 139 SNPs at six and five loci were associated with ΔTC and for ΔTG, respectively (P < 10-3). Of these, a variant at CAPN3 (P = 1.2 × 10-4), multiple variants at HPR (Pmin = 1.5 × 10-6) and a variant at SIX5 (P = 1.9 × 10-4) showed evidence for association with CAD. Conclusions: We identified seven novel genomic regions associated with long-term changes in blood lipids, of which three also raise CAD risk.

Indexed as

Genetic LociAdultAgedCoronary Artery DiseaseCross-Sectional StudiesFemaleGenome-Wide Association StudyGenotypeHumansLipidsMaleMeta-Analysis as TopicMiddle AgedPolymorphism, Single NucleotideProspective StudiesSwedenLipidsgenetic epidemiologylongitudinal analysismorbidityProspective cohort studysingle nucleotide polymorphismtotal cholesteroltriglycerides

Identifiers

PMID27864399
PMCPMC5837581
OpenAlexW2555993305

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.