Evidence map›Paper›PMID 29402980›Full record

ArticleScientific reports2018

Mendelian randomisation study of the relationship between vitamin D and risk of glioma.

Hannah Takahashi, Alex J Cornish, Amit Sud, Philip J Law, Ben Kinnersley, Quinn T Ostrom, Karim Labreche, Jeanette E Eckel-Passow, Georgina N Armstrong, Elizabeth B Claus and 21 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 5 pooled it
2.7field-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

17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  16. Use of MendelianFrontiers in genetics · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 16 institutions in 7 countries.

Hannah TakahashiDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Alex J CornishDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-3966-3501
Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-6133-0164
Philip J LawDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0001-9663-4611
Ben KinnersleyDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0003-1783-6296
Quinn T OstromCase Comprehensive Cancer Center, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Karim LabrecheDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-3164-9406
Jeanette E Eckel-PassowDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Georgina N ArmstrongDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA.
Elizabeth B ClausSchool of Public Health, Yale University, New Haven, Connecticut, USA.
Dora Il'yasovaDepartment of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0003-4290-6794
Joellen SchildkrautDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA.
Jill S Barnholtz-SloanCase Comprehensive Cancer Center, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.ORCID http://orcid.org/0000-0001-6190-9304
Sara H OlsonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jonine L BernsteinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Rose K LaiDepartments of Neurology and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Minouk J SchoemakerDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Matthias SimonDepartment of Neurosurgery, University of Bonn Medical Center, Sigmund-Freud-Str. 25, 53105, Bonn, Germany.
Per HoffmannHuman Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland.
Markus M NöthenDepartment of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Stephen ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Preetha RajaramanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Christoffer JohansenInstitute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-4384-206X
Robert B JenkinsDepartment of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA.
Beatrice S MelinDepartment of Radiation Sciences, Umeå University, Umeå, Sweden.
Margaret R WrenschDepartment of Neurological Surgery, School of Medicine, University of California, San Francisco, California, USA.
Marc SansonSorbonne Universités UPMC Univ Paris 06, INSERM CNRS, U1127, UMR 7225, ICM, F-75013, Paris, France.
Melissa L BondyDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA.
Clare TurnbullDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. richard.houlston@icr.ac.uk.
Institute of Cancer Research · GBUniversity of Bonn · DEBaylor College of Medicine · USCase Western Reserve University · USMayo Clinic · USMemorial Sloan Kettering Cancer Center · USNational Cancer Institute · USBrigham and Women's Hospital · USCentre National de la Recherche Scientifique · FRDuke Medical Center · USGeorgia State University · USUmeå University · SEUniversity of California, San Francisco · USUniversity of Copenhagen · DKUniversity of Duisburg-Essen · DEUniversity of Southern California · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMAR01CA052689 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K., WRENSCH, MARGARET R. · 1991 to 2015
$20.5M
International Case Control Study of Malignant GliomaR01CA139020 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L. · 2010 to 2015
$16.0M
Immune epigenetic biomarkers of survival in glioma epidemiologyR01CA207360 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2017 to 2021
$3.8M
Medical Research Council G0700491NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA052689NCI NIH HHS R01 CA139020NCI NIH HHS R01 CA207360Wellcome Trust
6 · The paper itself

Abstract

To examine for a causal relationship between vitamin D and glioma risk we performed an analysis of genetic variants associated with serum 25-hydroxyvitamin D (25(OH)D) levels using Mendelian randomisation (MR), an approach unaffected by biases from confounding. Two-sample MR was undertaken using genome-wide association study data. Single nucleotide polymorphisms (SNPs) associated with 25(OH)D levels were used as instrumental variables (IVs). We calculated MR estimates for the odds ratio (OR) for 25(OH)D levels with glioma using SNP-glioma estimates from 12,488 cases and 18,169 controls, using inverse-variance weighted (IVW) and maximum likelihood estimation (MLE) methods. A non-significant association between 25(OH)D levels and glioma risk was shown using both the IVW (OR = 1.21, 95% confidence interval [CI] = 0.90-1.62, P = 0.201) and MLE (OR = 1.20, 95% CI = 0.98-1.48, P = 0.083) methods. In an exploratory analysis of tumour subtype, an inverse relationship between 25(OH)D levels and glioblastoma (GBM) risk was identified using the MLE method (OR = 0.62, 95% CI = 0.43-0.89, P = 0.010), but not the IVW method (OR = 0.62, 95% CI = 0.37-1.04, P = 0.070). No statistically significant association was shown between 25(OH)D levels and non-GBM glioma. Our results do not provide evidence for a causal relationship between 25(OH)D levels and all forms of glioma risk. More evidence is required to explore the relationship between 25(OH)D levels and risk of GBM.

Indexed as

Genetic Predisposition to DiseaseBrain NeoplasmsGenetic VariationGliomaHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideVitamin DVitamin D

Identifiers

PMID29402980
PMCPMC5799201
OpenAlexW2794051840

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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.