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Influence of obesity-related risk factors in the aetiology of glioma

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 met...

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Detalles Bibliográficos
Autores principales: Disney-Hogg, Linden, Sud, Amit, Law, Philip J., Cornish, Alex J., Kinnersley, Ben, Ostrom, Quinn T., Labreche, Karim, Eckel-Passow, Jeanette E., Armstrong, Georgina N., Claus, Elizabeth B., Il’yasova, Dora, Schildkraut, Joellen, Barnholtz-Sloan, Jill S., Olson, Sara H., Bernstein, Jonine L., Lai, Rose K., Swerdlow, Anthony J., Simon, Matthias, Hoffmann, Per, Nöthen, Markus M., Jöckel, Karl-Heinz, Chanock, Stephen, Rajaraman, Preetha, Johansen, Christoffer, Jenkins, Robert B., Melin, Beatrice S., Wrensch, Margaret R., Sanson, Marc, Bondy, Melissa L., Houlston, Richard S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931112/
https://www.ncbi.nlm.nih.gov/pubmed/29531326
http://dx.doi.org/10.1038/s41416-018-0009-x
Descripción
Sumario: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.