Evidence map›Paper›PMID 33020596›Full record

ArticleBritish journal of cancer2021

Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study.

Charlie N Saunders, Alex J Cornish, Ben Kinnersley, Philip J Law, Richard S Houlston, Collaborators

Abstract read
In one paragraph

Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Charlie N SaundersDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK. Charlie.Saunders@icr.ac.uk.ORCID http://orcid.org/0000-0001-7221-1358
Alex J CornishDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Ben KinnersleyDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Philip J LawDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Collaborators

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
UNDERSTANDING THE INTERACTIONS BETWEEN GERMLINE AND SOMATIC ALTERATIONS in the PATHOGENESIS OF GLIOMASR01CA230712 · NCI · MAYO CLINIC ROCHESTER · PI JENKINS, ROBERT B. · 2018 to 2022
$3.3M
Cancer Research UK 25514Cancer Research UK C1298/A8362NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA230712
6 · The paper itself

Abstract

backgroundThe aetiology of glioma is poorly understood. Summary data from genome-wide association studies (GWAS) can be used in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to search for glioma risk factors.

methodsWe performed an MR-PheWAS analysing 316 phenotypes, proxied by 8387 genetic variants, and summary genetic data from a GWAS of 12,488 glioma cases and 18,169 controls. Causal effects were estimated under a random-effects inverse-variance-weighted (IVW-RE) model, with robust adjusted profile score (MR-RAPS), weighted median and mode-based estimates computed to assess the robustness of findings. Odds ratios per one standard deviation increase in each phenotype were calculated for all glioma, glioblastoma (GBM) and non-GBM tumours.

resultsNo significant associations (P < 1.58 × 10

conclusionsOur study provides further insight into the aetiological basis of glioma for which published data have been mixed.

Indexed as

Genome-Wide Association StudyBrain NeoplasmsGenetic VariationGliomaHumansMendelian Randomization AnalysisRisk Factors

Identifiers

PMID33020596
PMCPMC7852872

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.