Body mass index and breast cancer survival: a Mendelian randomization analysis
Research output: Contribution to journal › Journal article › Research › peer-review
- Body mass index and breast cancer survival: a Mendelian randomization analysis
Final published version, 312 KB, PDF document
Qi Guo, Stephen Burgess, Constance Turman, Manjeet K Bolla, Qin Wang, Michael Lush, Jean Abraham, Kristiina Aittomäki, Irene L Andrulis, Carmel Apicella, Volker Arndt, Myrto Barrdahl, Javier Benitez, Christine D Berg, Carl Blomqvist, Stig E Bojesen, Bernardo Bonanni, Judith S Brand, Hermann Brenner, Annegien Broeks & 114 others
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 36 210 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 cancer-specific survival for estrogen receptor (ER)-positive cases [hazard ratio (HR) = 1.11, per one-unit increment of GRS, 95% confidence interval (CI) 1.01-1.22, P = 0.03). We observed no association for ER-negative cases (HR = 1.00, per one-unit increment of GRS, 95% CI 0.89-1.13, P = 0.95).
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.
|Journal||International Journal of Epidemiology|
|Publication status||Published - 2017|
Number of downloads are based on statistics from Google Scholar and www.ku.dk