Association of body mass index with colorectal cancer risk by genome-wide variants
Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk.We tested multiplicative statistical interactions between BMI (per 5 kg/m2) and approximately 2.7 million single nucleotide polymorphisms with colorectal cancer risk among 14 059...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2021
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| In: |
Journal of the National Cancer Institute
Year: 2020, Volume: 113, Issue: 1, Pages: 38-47 |
| ISSN: | 1460-2105 |
| DOI: | 10.1093/jnci/djaa058 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/jnci/djaa058 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/jnci/article/113/1/38/5824300 |
| Author Notes: | Peter T. Campbell, PhD, Yi Lin, MS, Stephanie A. Bien, PhD, Jane C. Figueiredo, PhD, Tabitha A. Harrison, MPH, Mark A. Guinter, Sonja I. Berndt, PharmD, PhD, Hermann Brenner, Andrew T. Chan, MD, Jenny Chang-Claude, PhD, Steven J. Gallinger, MD, Susan M. Gapstur, PhD, Graham G. Giles, PhD, Edward Giovannucci, MD, PhD, Stephen B. Gruber, MD, PhD, Marc Gunter, PhD, Michael Hoffmeister, PhD, Eric J. Jacobs, PhD, Mark A. Jenkins, PhD, Loic Le Marchand, MD, PhD, Li Li, MD, PhD, John R McLaughlin, PhD, Neil Murphy, PhD, Roger L. Milne, PhD, Polly A. Newcomb, PhD, Christina Newton, MSPH, Shuji Ogino, MD, PhD, John D. Potter, MD, PhD, Gad Rennert, MD, PhD, Hedy S. Rennert, MD, PhD, Jennifer Robinson, PhD, Lori C. Sakoda, PhD, Martha L. Slattery, PhD, Yiqing Song, PhD, Emily White, PhD, Michael O. Woods, PhD, Graham Casey, PhD, Li Hsu, PhD, Ulrike Peters, PhD |
| Summary: | Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk.We tested multiplicative statistical interactions between BMI (per 5 kg/m2) and approximately 2.7 million single nucleotide polymorphisms with colorectal cancer risk among 14 059 colorectal cancer case (53.2% women) and 14 416 control (53.8% women) participants. All analyses were stratified by sex a priori. Statistical methods included 2-step (ie, Cocktail method) and single-step (ie, case-control logistic regression and a joint 2-degree of freedom test) procedures. All statistical tests were two-sided.Each 5 kg/m2 increase in BMI was associated with higher risks of colorectal cancer, less so for women (odds ratio [OR] = 1.14, 95% confidence intervals [CI] = 1.11 to 1.18; P = 9.75 × 10-17) than for men (OR = 1.26, 95% CI = 1.20 to 1.32; P = 2.13 × 10-24). The 2-step Cocktail method identified an interaction for women, but not men, between BMI and a SMAD7 intronic variant at 18q21.1 (rs4939827; Pobserved = .0009; Pthreshold = .005). A joint 2-degree of freedom test was consistent with this finding for women (joint P = 2.43 × 10-10). Each 5 kg/m2 increase in BMI was more strongly associated with colorectal cancer risk for women with the rs4939827-CC genotype (OR = 1.24, 95% CI = 1.16 to 1.32; P = 2.60 × 10-10) than for women with the CT (OR = 1.14, 95% CI = 1.09 to 1.19; P = 1.04 × 10-8) or TT (OR = 1.07, 95% CI = 1.01 to 1.14; P = .02) genotypes.These results provide novel insights on a potential mechanism through which a SMAD7 variant, previously identified as a susceptibility locus for colorectal cancer, and BMI may influence colorectal cancer risk for women. |
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| Item Description: | First published online September 3, 2020 Gesehen am 05.03.2021 |
| Physical Description: | Online Resource |
| ISSN: | 1460-2105 |
| DOI: | 10.1093/jnci/djaa058 |