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

Linden Disney-Hogg; Amit Sud; Philip J Law; Alex J Cornish; Ben Kinnersley; Quinn T Ostrom; Karim Labreche; Jeanette E Eckel-Passow; Georgina N Armstrong; Elizabeth B Claus; Dora Il'yasova; Joellen Schildkraut; Jill S Barnholtz-Sloan; Sara H Olson; Jonine L Bernstein; Rose K Lai; Anthony J Swerdlow; Matthias Simon; Per Hoffmann; Markus M Nöthen; Karl-Heinz Jöckel; Stephen Chanock; Preetha Rajaraman; Christoffer Johansen; Robert B Jenkins; Beatrice S Melin; Margaret R Wrensch; Marc Sanson; Melissa L Bondy; Richard S Houlston

doi:10.1038/s41416-018-0009-x

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

Linden Disney-Hogg, Amit Sud, Philip J Law, Alex J Cornish, Ben Kinnersley, Quinn T Ostrom, Karim Labreche, Jeanette E Eckel-Passow, Georgina N Armstrong, Elizabeth B Claus, Dora Il'yasova, Joellen Schildkraut, Jill S Barnholtz-Sloan, Sara H Olson, Jonine L Bernstein, Rose K Lai, Anthony J Swerdlow, Matthias Simon, Per Hoffmann, Markus M NöthenKarl-Heinz Jöckel, Stephen Chanock, Preetha Rajaraman, Christoffer Johansen, Robert B Jenkins, Beatrice S Melin, Margaret R Wrensch, Marc Sanson, Melissa L Bondy, Richard S Houlston

Department of Clinical Medicine

14 Citations (Scopus)

37 Downloads (Pure)

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.

Original language	English
Journal	British Journal of Cancer
Volume	118
Issue number	7
Pages (from-to)	1020-1027
Number of pages	8
ISSN	0007-0920
DOIs	https://doi.org/10.1038/s41416-018-0009-x
Publication status	Published - 2018

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Disney-Hogg, L., Sud, A., Law, P. J., Cornish, A. J., Kinnersley, B., Ostrom, Q. T., Labreche, K., Eckel-Passow, J. E., Armstrong, G. N., Claus, E. B., Il'yasova, D., Schildkraut, J., Barnholtz-Sloan, J. S., Olson, S. H., Bernstein, J. L., Lai, R. K., Swerdlow, A. J., Simon, M., Hoffmann, P., ... Houlston, R. S. (2018). Influence of obesity-related risk factors in the aetiology of glioma. British Journal of Cancer, 118(7), 1020-1027. https://doi.org/10.1038/s41416-018-0009-x

Disney-Hogg, L, Sud, A, Law, PJ, Cornish, AJ, Kinnersley, B, Ostrom, QT, Labreche, K, Eckel-Passow, JE, Armstrong, GN, Claus, EB, Il'yasova, D, Schildkraut, J, Barnholtz-Sloan, JS, Olson, SH, Bernstein, JL, Lai, RK, Swerdlow, AJ, Simon, M, Hoffmann, P, Nöthen, MM, Jöckel, K-H, Chanock, S, Rajaraman, P, Johansen, C, Jenkins, RB, Melin, BS, Wrensch, MR, Sanson, M, Bondy, ML & Houlston, RS 2018, 'Influence of obesity-related risk factors in the aetiology of glioma', British Journal of Cancer, vol. 118, no. 7, pp. 1020-1027. https://doi.org/10.1038/s41416-018-0009-x

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title = "Influence of obesity-related risk factors in the aetiology of glioma",

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.",

author = "Linden Disney-Hogg and Amit Sud and Law, {Philip J} and Cornish, {Alex J} and Ben Kinnersley and Ostrom, {Quinn T} and Karim Labreche and Eckel-Passow, {Jeanette E} and Armstrong, {Georgina N} and Claus, {Elizabeth B} and Dora Il'yasova and Joellen Schildkraut and Barnholtz-Sloan, {Jill S} and Olson, {Sara H} and Bernstein, {Jonine L} and Lai, {Rose K} and Swerdlow, {Anthony J} and Matthias Simon and Per Hoffmann and N{\"o}then, {Markus M} and Karl-Heinz J{\"o}ckel and Stephen Chanock and Preetha Rajaraman and Christoffer Johansen and Jenkins, {Robert B} and Melin, {Beatrice S} and Wrensch, {Margaret R} and Marc Sanson and Bondy, {Melissa L} and Houlston, {Richard S}",

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T1 - Influence of obesity-related risk factors in the aetiology of glioma

AU - Disney-Hogg, Linden

AU - Sud, Amit

AU - Law, Philip J

AU - Cornish, Alex J

AU - Kinnersley, Ben

AU - Ostrom, Quinn T

AU - Labreche, Karim

AU - Eckel-Passow, Jeanette E

AU - Armstrong, Georgina N

AU - Claus, Elizabeth B

AU - Il'yasova, Dora

AU - Schildkraut, Joellen

AU - Barnholtz-Sloan, Jill S

AU - Olson, Sara H

AU - Bernstein, Jonine L

AU - Lai, Rose K

AU - Swerdlow, Anthony J

AU - Simon, Matthias

AU - Hoffmann, Per

AU - Nöthen, Markus M

AU - Jöckel, Karl-Heinz

AU - Chanock, Stephen

AU - Rajaraman, Preetha

AU - Johansen, Christoffer

AU - Jenkins, Robert B

AU - Melin, Beatrice S

AU - Wrensch, Margaret R

AU - Sanson, Marc

AU - Bondy, Melissa L

AU - Houlston, Richard S

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1038/s41416-018-0009-x

DO - 10.1038/s41416-018-0009-x

M3 - Journal article

C2 - 29531326

SN - 0007-0920

VL - 118

SP - 1020

EP - 1027

JO - The British journal of cancer. Supplement

JF - The British journal of cancer. Supplement

IS - 7

ER -

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

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