Association of Body Mass Index With Colorectal Cancer Risk by Genome-Wide Variants
Author(s) -
Peter T. Campbell,
Yi Lin,
Stephanie A. Bien,
Jane C. Figueiredo,
Tabitha A. Harrison,
Mark A. Guinter,
Sonja I. Berndt,
Hermann Brenner,
Andrew T. Chan,
Jenny ChangClaude,
Steven Gallinger,
Susan M. Gapstur,
Graham G. Giles,
Edward L. Giovannucci,
Stephen B. Gruber,
Marc J. Gunter,
Michael Hoffmeister,
Eric J. Jacobs,
Mark A. Jenkins,
Loı̈c Le Marchand,
Li Li,
Esther M. John,
Neil Murphy,
Roger L. Milne,
Polly A. Newcomb,
Christina C. Newton,
Shuji Ogino,
John D. Potter,
Gad Rennert,
Hedy S. Rennert,
Jennifer G. Robinson,
Lori C. Sakoda,
Martha L. Slattery,
Yiqing Song,
Emily White,
Michael O. Woods,
Graham Casey,
Li Hsu,
Ulrike Peters
Publication year - 2020
Publication title -
jnci journal of the national cancer institute
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.797
H-Index - 356
eISSN - 1460-2105
pISSN - 0027-8874
DOI - 10.1093/jnci/djaa058
Subject(s) - colorectal cancer , body mass index , medicine , odds ratio , confidence interval , logistic regression , cancer , oncology , statistical significance , case control study
Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom