Show simple item record

dc.contributor.authorSaunders, CNen_US
dc.contributor.authorCornish, AJen_US
dc.contributor.authorKinnersley, Ben_US
dc.contributor.authorLaw, PJen_US
dc.contributor.authorClaus, EBen_US
dc.contributor.authorIl'yasova, Den_US
dc.contributor.authorSchildkraut, Jen_US
dc.contributor.authorBarnholtz-Sloan, JSen_US
dc.contributor.authorOlson, SHen_US
dc.contributor.authorBernstein, JLen_US
dc.contributor.authorLai, RKen_US
dc.contributor.authorChanock, Sen_US
dc.contributor.authorRajaraman, Pen_US
dc.contributor.authorJohansen, Cen_US
dc.contributor.authorJenkins, RBen_US
dc.contributor.authorMelin, BSen_US
dc.contributor.authorWrensch, MRen_US
dc.contributor.authorSanson, Men_US
dc.contributor.authorBondy, MLen_US
dc.contributor.authorHoulston, RSen_US
dc.identifier.citationNeuro-oncology, 2020, 22 (2), pp. 207 - 215en_US
dc.description.abstract<h4>Background</h4>The etiological basis of glioma is poorly understood. We have used genetic markers in a Mendelian randomization (MR) framework to examine if lifestyle, cardiometabolic, and inflammatory factors influence the risk of glioma. This methodology reduces bias from confounding and is not affected by reverse causation.<h4>Methods</h4>We identified genetic instruments for 37 potentially modifiable risk factors and evaluated their association with glioma risk using data from a genome-wide association study of 12 488 glioma patients and 18 169 controls. We used the estimated odds ratio of glioma associated with each of the genetically defined traits to infer evidence for a causal relationship with the following exposures:Lifestyle and dietary factors-height, plasma insulin-like growth factor 1, blood carnitine, blood methionine, blood selenium, blood zinc, circulating adiponectin, circulating carotenoids, iron status, serum calcium, vitamins (A1, B12, B6, E, and 25-hydroxyvitamin D), fatty acid levels (monounsaturated, omega-3, and omega-6) and circulating fetuin-A;Cardiometabolic factors-birth weight, high density lipoprotein cholesterol, low density lipoprotein cholesterol, total cholesterol, total triglycerides, basal metabolic rate, body fat percentage, body mass index, fasting glucose, fasting proinsulin, glycated hemoglobin levels, diastolic and systolic blood pressure, waist circumference, waist-to-hip ratio; andInflammatory factors- C-reactive protein, plasma interleukin-6 receptor subunit alpha and serum immunoglobulin E.<h4>Results</h4>After correction for the testing of multiple potential risk factors and excluding associations driven by one single nucleotide polymorphism, no significant association with glioma risk was observed (ie, PCorrected > 0.05).<h4>Conclusions</h4>This study did not provide evidence supporting any of the 37 factors examined as having a significant influence on glioma risk.en_US
dc.format.extent207 - 215en_US
dc.titleLack of association between modifiable exposures and glioma risk: a Mendelian randomization analysis.en_US
dc.typeJournal Article
rioxxterms.typeJournal Article/Reviewen_US
pubs.notesNo embargoen_US
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.embargo.termsNo embargoen_US
icr.researchteamCancer Genomicsen_US
dc.contributor.icrauthorSaunders, Charlesen_US
dc.contributor.icrauthorLaw, Philipen_US
dc.contributor.icrauthorKinnersley, Benjaminen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record
Except where otherwise noted, this item's license is described as