dc.contributor.author | Disney-Hogg, L | |
dc.contributor.author | Sud, A | |
dc.contributor.author | Law, PJ | |
dc.contributor.author | Cornish, AJ | |
dc.contributor.author | Kinnersley, B | |
dc.contributor.author | Ostrom, QT | |
dc.contributor.author | Labreche, K | |
dc.contributor.author | Eckel-Passow, JE | |
dc.contributor.author | Armstrong, GN | |
dc.contributor.author | Claus, EB | |
dc.contributor.author | Il'yasova, D | |
dc.contributor.author | Schildkraut, J | |
dc.contributor.author | Barnholtz-Sloan, JS | |
dc.contributor.author | Olson, SH | |
dc.contributor.author | Bernstein, JL | |
dc.contributor.author | Lai, RK | |
dc.contributor.author | Swerdlow, AJ | |
dc.contributor.author | Simon, M | |
dc.contributor.author | Hoffmann, P | |
dc.contributor.author | Nöthen, MM | |
dc.contributor.author | Jöckel, K-H | |
dc.contributor.author | Chanock, S | |
dc.contributor.author | Rajaraman, P | |
dc.contributor.author | Johansen, C | |
dc.contributor.author | Jenkins, RB | |
dc.contributor.author | Melin, BS | |
dc.contributor.author | Wrensch, MR | |
dc.contributor.author | Sanson, M | |
dc.contributor.author | Bondy, ML | |
dc.contributor.author | Houlston, RS | |
dc.date.accessioned | 2018-03-16T09:42:43Z | |
dc.date.issued | 2018-04-01 | |
dc.identifier.citation | British journal of cancer, 2018, 118 (7), pp. 1020 - 1027 | |
dc.identifier.issn | 0007-0920 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/1594 | |
dc.identifier.eissn | 1532-1827 | |
dc.identifier.doi | 10.1038/s41416-018-0009-x | |
dc.description.abstract | BACKGROUND: Obesity and related factors have been implicated as possible aetiological factors for the development of glioma in epidemiological observation studies. We used genetic markers in a Mendelian randomisation framework to examine whether obesity-related traits influence glioma risk. This methodology reduces bias from confounding and is not affected by reverse causation. METHODS: Genetic instruments were identified for 10 key obesity-related risk factors, and their association with glioma risk was evaluated using data from a genome-wide association study of 12,488 glioma patients and 18,169 controls. The estimated odds ratio of glioma associated with each of the genetically defined obesity-related traits was used to infer evidence for a causal relationship. RESULTS: No convincing association with glioma risk was seen for genetic instruments for body mass index, waist-to-hip ratio, lipids, type-2 diabetes, hyperglycaemia or insulin resistance. Similarly, we found no evidence to support a relationship between obesity-related traits with subtypes of glioma-glioblastoma (GBM) or non-GBM tumours. CONCLUSIONS: This study provides no evidence to implicate obesity-related factors as causes of glioma. | |
dc.format | Print-Electronic | |
dc.format.extent | 1020 - 1027 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | SPRINGERNATURE | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Glioma | |
dc.subject | Diabetes Mellitus, Type 2 | |
dc.subject | Insulin Resistance | |
dc.subject | Obesity | |
dc.subject | Genetic Predisposition to Disease | |
dc.subject | Body Mass Index | |
dc.subject | Waist-Hip Ratio | |
dc.subject | Risk Factors | |
dc.subject | Case-Control Studies | |
dc.subject | Polymorphism, Single Nucleotide | |
dc.subject | Adult | |
dc.subject | Middle Aged | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Lipid Metabolism | |
dc.subject | Genome-Wide Association Study | |
dc.subject | Genetic Linkage | |
dc.title | Influence of obesity-related risk factors in the aetiology of glioma. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2018-01-08 | |
rioxxterms.versionofrecord | 10.1038/s41416-018-0009-x | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2018-04 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | British journal of cancer | |
pubs.issue | 7 | |
pubs.notes | No embargo | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Breast Cancer Research | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Genetics and Epidemiology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics | |
pubs.publication-status | Published | |
pubs.volume | 118 | |
pubs.embargo.terms | No embargo | |
icr.researchteam | Aetiological Epidemiology | |
icr.researchteam | Cancer Genomics | |
dc.contributor.icrauthor | Sud, Amit | |
dc.contributor.icrauthor | Law, Philip | |
dc.contributor.icrauthor | Cornish, Alexander | |
dc.contributor.icrauthor | Kinnersley, Benjamin | |
dc.contributor.icrauthor | Swerdlow, Anthony | |
dc.contributor.icrauthor | Houlston, Richard | |