Association of body mass index with colorectal cancer risk by genome-wide variants
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Association of body mass index with colorectal cancer risk by genome-wide variants. / Campbell, Peter T; Lin, Yi; Bien, Stephanie A; Figueiredo, Jane C; Harrison, Tabitha A; Guinter, Mark J; Berndt, Sonja I; Brenner, Hermann; Chan, Andrew T; Chang-Claude, Jenny; Gallinger, Steven J; Gapstur, Susan M; Giles, Graham G; Giovannucci, Edward; Gruber, Stephen B; Gunter, Marc; Hoffmeister, Michael; Jacobs, Eric J; Jenkins, Mark A; Marchand, Loic Le; Li, Li; McLaughlin, John R; Murphy, Neil; Milne, Roger L; Newcomb, Polly A; Newton, Christina; Ogino, Shuji; Potter, John D; Rennert, Gad; Rennert, Hedy S; Robinson, Jennifer; Sakoda, Lori C; Slattery, Martha L; Song, Yiqing; White, Emily; Woods, Michael O; Casey, Graham; Hsu, Li.
In: JNCI-J NATL CANCER I, Vol. 113, No. 1, 04.01.2021, p. 38-47.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Association of body mass index with colorectal cancer risk by genome-wide variants
AU - Campbell, Peter T
AU - Lin, Yi
AU - Bien, Stephanie A
AU - Figueiredo, Jane C
AU - Harrison, Tabitha A
AU - Guinter, Mark J
AU - Berndt, Sonja I
AU - Brenner, Hermann
AU - Chan, Andrew T
AU - Chang-Claude, Jenny
AU - Gallinger, Steven J
AU - Gapstur, Susan M
AU - Giles, Graham G
AU - Giovannucci, Edward
AU - Gruber, Stephen B
AU - Gunter, Marc
AU - Hoffmeister, Michael
AU - Jacobs, Eric J
AU - Jenkins, Mark A
AU - Marchand, Loic Le
AU - Li, Li
AU - McLaughlin, John R
AU - Murphy, Neil
AU - Milne, Roger L
AU - Newcomb, Polly A
AU - Newton, Christina
AU - Ogino, Shuji
AU - Potter, John D
AU - Rennert, Gad
AU - Rennert, Hedy S
AU - Robinson, Jennifer
AU - Sakoda, Lori C
AU - Slattery, Martha L
AU - Song, Yiqing
AU - White, Emily
AU - Woods, Michael O
AU - Casey, Graham
AU - Hsu, Li
N1 - © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.
PY - 2021/1/4
Y1 - 2021/1/4
N2 - BACKGROUND: Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk.METHODS: 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.RESULTS: 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.CONCLUSION: 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.
AB - BACKGROUND: Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk.METHODS: 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.RESULTS: 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.CONCLUSION: 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.
U2 - 10.1093/jnci/djaa058
DO - 10.1093/jnci/djaa058
M3 - SCORING: Journal article
C2 - 32324875
VL - 113
SP - 38
EP - 47
JO - JNCI-J NATL CANCER I
JF - JNCI-J NATL CANCER I
SN - 0027-8874
IS - 1
ER -