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Body mass index and breast cancer survival: A Mendelian randomisation analysis

Body mass index and breast cancer survival: A Mendelian randomisation analysis
Body mass index and breast cancer survival: A Mendelian randomisation analysis
Background: There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a Mendelian randomization analysis to investigate a possible causal role of BMI in survival from breast cancer.

Methods: We used individual-level data from six large breast cancer case-cohorts including a total of 36210 individuals (2475 events) of European ancestry. We created a BMI genetic risk score (GRS) based on genotypes at 94 known BMI-associated genetic variants. Association between the BMI genetic score and breast cancer survival was analysed by Cox regression for each study separately. Study-specific hazard ratios were pooled using fixed-effect meta-analysis.

Results: BMI genetic score was found to be associated with reduced breast cancerspecific survival for estrogen receptor (ER)-positive cases [hazard ratio (HR)¼1.11, per one-unit increment of GRS, 95% confidence interval (CI) 1.01–1.22, P¼0.03). We observed no association for ER-negative cases (HR¼1.00, per one-unit increment of GRS, 95% CI 0.89–1.13, P¼0.95).

Conclusions: Our findings suggest a causal effect of increased BMI on reduced breast cancer survival for ER-positive breast cancer. There is no evidence of a causal effect of higher BMI on survival for ER-negative breast cancer cases.
0300-5771
1814–1822
Eccles, Diana
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
Guo, Qi
ee70eebf-fcc6-46e6-9ce0-1b4462c964c4
Burgess, Stephen
3ee737c1-d92c-4b2f-8279-c500f3116c92
Turman, Constance
b2d7efdf-6d0e-471c-bb5c-e733bcd11b93
et al.
Eccles, Diana
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
Guo, Qi
ee70eebf-fcc6-46e6-9ce0-1b4462c964c4
Burgess, Stephen
3ee737c1-d92c-4b2f-8279-c500f3116c92
Turman, Constance
b2d7efdf-6d0e-471c-bb5c-e733bcd11b93

Guo, Qi, Burgess, Stephen and Turman, Constance , et al. (2017) Body mass index and breast cancer survival: A Mendelian randomisation analysis. International Journal of Epidemiology, 46 (6), 1814–1822. (doi:10.1093/ije/dyx131).

Record type: Article

Abstract

Background: There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a Mendelian randomization analysis to investigate a possible causal role of BMI in survival from breast cancer.

Methods: We used individual-level data from six large breast cancer case-cohorts including a total of 36210 individuals (2475 events) of European ancestry. We created a BMI genetic risk score (GRS) based on genotypes at 94 known BMI-associated genetic variants. Association between the BMI genetic score and breast cancer survival was analysed by Cox regression for each study separately. Study-specific hazard ratios were pooled using fixed-effect meta-analysis.

Results: BMI genetic score was found to be associated with reduced breast cancerspecific survival for estrogen receptor (ER)-positive cases [hazard ratio (HR)¼1.11, per one-unit increment of GRS, 95% confidence interval (CI) 1.01–1.22, P¼0.03). We observed no association for ER-negative cases (HR¼1.00, per one-unit increment of GRS, 95% CI 0.89–1.13, P¼0.95).

Conclusions: Our findings suggest a causal effect of increased BMI on reduced breast cancer survival for ER-positive breast cancer. There is no evidence of a causal effect of higher BMI on survival for ER-negative breast cancer cases.

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Submitted date: 5 September 2017
Accepted/In Press date: 5 September 2017
e-pub ahead of print date: 9 October 2017
Published date: 1 December 2017

Identifiers

Local EPrints ID: 413992
URI: http://eprints.soton.ac.uk/id/eprint/413992
ISSN: 0300-5771
PURE UUID: c9f2244d-66e0-470a-9128-0ce27d0d59f3
ORCID for Diana Eccles: ORCID iD orcid.org/0000-0002-9935-3169

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Date deposited: 12 Sep 2017 16:31
Last modified: 16 Mar 2024 05:43

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Contributors

Author: Diana Eccles ORCID iD
Author: Qi Guo
Author: Stephen Burgess
Author: Constance Turman
Corporate Author: et al.

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