Evidence map›Paper›PMID 26089876›Full record

ArticleInternational journal of endocrinology2015

The Chromosome 9p21 CVD- and T2D-Associated Regions in a Norwegian Population (The HUNT2 Survey).

Øyvind Helgeland, Jens K Hertel, Anders Molven, Helge Ræder, Carl G P Platou, Kristian Midthjell, Kristian Hveem, Ottar Nygård, Pål R Njølstad, Stefan Johansson

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In one paragraph

Article in International journal of endocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 11 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

10 authors at 2 institutions in 1 country.

Øyvind HelgelandKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Department of Pediatrics, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0002-5612-2985
Jens K HertelKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Department of Pediatrics, Haukeland University Hospital, 5021 Bergen, Norway ; Morbid Obesity Center, Vestfold Hospital Trust, 3116 Tønsberg, Norway ; Department of Heart Disease, Haukeland University Hospital, 5021 Bergen, Norway.
Anders MolvenKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, 5021 Bergen, Norway ; Department of Pathology, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0003-1847-3079
Helge RæderKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Department of Pediatrics, Haukeland University Hospital, 5021 Bergen, Norway.
Carl G P PlatouHUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, 7600 Levanger, Norway ; Department of Internal Medicine, Levanger Hospital, Nord-Trøndelag Health Trust, 7600 Levanger, Norway.
Kristian MidthjellHUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, 7600 Levanger, Norway.
Kristian HveemHUNT Research Centre, Department of Public Health and General Practice, Norwegian University of Science and Technology, 7600 Levanger, Norway.ORCID 0000-0001-8157-9744
Ottar NygårdKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Department of Heart Disease, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0002-4885-1010
Pål R NjølstadKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Department of Pediatrics, Haukeland University Hospital, 5021 Bergen, Norway.
Stefan JohanssonKG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway ; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5021 Bergen, Norway.ORCID 0000-0002-2298-7008
Haukeland University Hospital · NONorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Two adjacent regions upstream CDKN2B on chromosome 9p21 have been associated with type 2 diabetes (T2D) and progression of cardiovascular disease (CVD). The precise location and number of risk variants have not been completely delineated and a possible synergistic relationship between the adjacent regions is not fully addressed. By a population based cross-sectional case-control design, we genotyped 18 SNPs upstream of CDKN2B tagging 138 kb in and around two LD-blocks associated with CVD and T2D and investigated associations with T2D, angina pectoris (AP), myocardial infarction (MI), coronary heart disease (CHD; AP or AMI), and stroke using 5,564 subjects from HUNT2. Results. Single point and haplotype analysis showed evidence for only one common T2D risk haplotype (rs10757282∣rs10811661: OR = 1.19, P = 2.0 × 10(-3)) in the region. We confirmed the strong association between SNPs in the 60 kb CVD region with AP, MI, and CHD (P < 0.01). Conditioning on the lead SNPs in the region, we observed two suggestive independent single SNP association signals for MI, rs2065501  (P = 0.03) and rs3217986  (P = 0.04). Conclusions. We confirmed the association of known variants within the 9p21 interval with T2D and CHD. Our results further suggest that additional CHD susceptibility variants exist in this region.

Identifiers

PMID26089876
PMCPMC4451520
OpenAlexW1563346418

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.