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Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Authors
 Stephanie L Schmit  ;  Christopher K Edlund  ;  Fredrick R Schumacher  ;  Jian Gong  ;  Tabitha A Harrison  ;  Jeroen R Huyghe  ;  Chenxu Qu  ;  Marilena Melas  ;  David J Van Den Berg  ;  Hansong Wang  ;  Stephanie Tring  ;  Sarah J Plummer  ;  Demetrius Albanes  ;  M Henar Alonso  ;  Christopher I Amos  ;  Kristen Anton  ;  Aaron K Aragaki  ;  Volker Arndt  ;  Elizabeth L Barry  ;  Sonja I Berndt  ;  Stéphane Bezieau  ;  Stephanie Bien  ;  Amanda Bloomer  ;  Juergen Boehm  ;  Marie-Christine Boutron-Ruault  ;  Hermann Brenner  ;  Stefanie Brezina  ;  Daniel D Buchanan  ;  Katja Butterbach  ;  Bette J Caan  ;  Peter T Campbell  ;  Christopher S Carlson  ;  Jose E Castelao  ;  Andrew T Chan  ;  Jenny Chang-Claude  ;  Stephen J Chanock  ;  Iona Cheng  ;  Ya-Wen Cheng  ;  Lee Soo Chin  ;  James M Church  ;  Timothy Church  ;  Gerhard A Coetzee  ;  Michelle Cotterchio  ;  Marcia Cruz Correa  ;  Keith R Curtis  ;  David Duggan  ;  Douglas F Easton  ;  Dallas English  ;  Edith J M Feskens  ;  Rocky Fischer  ;  Liesel M FitzGerald  ;  Barbara K Fortini  ;  Lars G Fritsche  ;  Charles S Fuchs  ;  Manuela Gago-Dominguez  ;  Manish Gala  ;  Steven J Gallinger  ;  W James Gauderman  ;  Graham G Giles  ;  Edward L Giovannucci  ;  Stephanie M Gogarten  ;  Clicerio Gonzalez-Villalpando  ;  Elena M Gonzalez-Villalpando  ;  William M Grady  ;  Joel K Greenson  ;  Andrea Gsur  ;  Marc Gunter  ;  Christopher A Haiman  ;  Jochen Hampe  ;  Sophia Harlid  ;  John F Harju  ;  Richard B Hayes  ;  Philipp Hofer  ;  Michael Hoffmeister  ;  John L Hopper  ;  Shu-Chen Huang  ;  Jose Maria Huerta  ;  Thomas J Hudson  ;  David J Hunter  ;  Gregory E Idos  ;  Motoki Iwasaki  ;  Rebecca D Jackson  ;  Eric J Jacobs  ;  Sun Ha Jee  ;  Mark A Jenkins  ;  Wei-Hua Jia  ;  Shuo Jiao  ;  Amit D Joshi  ;  Laurence N Kolonel  ;  Suminori Kono  ;  Charles Kooperberg  ;  Vittorio Krogh  ;  Tilman Kuehn  ;  Sébastien Küry  ;  Andrea LaCroix  ;  Cecelia A Laurie  ;  Flavio Lejbkowicz  ;  Mathieu Lemire  ;  Heinz-Josef Lenz  ;  David Levine  ;  Christopher I Li  ;  Li Li  ;  Wolfgang Lieb  ;  Yi Lin  ;  Noralane M Lindor  ;  Yun-Ru Liu  ;  Fotios Loupakis  ;  Yingchang Lu  ;  Frank Luh  ;  Jing Ma  ;  Christoph Mancao  ;  Frank J Manion  ;  Sanford D Markowitz  ;  Vicente Martin  ;  Koichi Matsuda  ;  Keitaro Matsuo  ;  Kevin J McDonnell  ;  Caroline E McNeil  ;  Roger Milne  ;  Antonio J Molina  ;  Bhramar Mukherjee  ;  Neil Murphy  ;  Polly A Newcomb  ;  Kenneth Offit  ;  Hanane Omichessan  ;  Domenico Palli  ;  Jesus P Paredes Cotoré  ;  Julyann Pérez-Mayoral  ;  Paul D Pharoah  ;  John D Potter  ;  Conghui Qu  ;  Leon Raskin  ;  Gad Rennert  ;  Hedy S Rennert  ;  Bridget M Riggs  ;  Clemens Schafmayer  ;  Robert E Schoen  ;  Thomas A Sellers  ;  Daniela Seminara  ;  Gianluca Severi  ;  Wei Shi  ;  David Shibata  ;  Xiao-Ou Shu  ;  Erin M Siegel  ;  Martha L Slattery  ;  Melissa Southey  ;  Zsofia K Stadler  ;  Mariana C Stern  ;  Sebastian Stintzing  ;  Darin Taverna  ;  Stephen N Thibodeau  ;  Duncan C Thomas  ;  Antonia Trichopoulou  ;  Shoichiro Tsugane  ;  Cornelia M Ulrich  ;  Franzel J B van Duijnhoven  ;  Bethany van Guelpan  ;  Joseph Vijai  ;  Jarmo Virtamo  ;  Stephanie J Weinstein  ;  Emily White  ;  Aung Ko Win  ;  Alicja Wolk  ;  Michael Woods  ;  Anna H Wu  ;  Kana Wu  ;  Yong-Bing Xiang  ;  Yun Yen  ;  Brent W Zanke  ;  Yi-Xin Zeng  ;  Ben Zhang  ;  Niha Zubair  ;  Sun-Seog Kweon  ;  Jane C Figueiredo  ;  Wei Zheng  ;  Loic Le Marchand  ;  Annika Lindblom  ;  Victor Moreno  ;  Ulrike Peters  ;  Graham Casey  ;  Li Hsu  ;  David V Conti  ;  Stephen B Gruber 
Citation
 JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, Vol.111(2) : 146-157, 2019-02 
Journal Title
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
ISSN
 0027-8874 
Issue Date
2019-02
MeSH
Case-Control Studies ; Colorectal Neoplasms / epidemiology* ; Colorectal Neoplasms / genetics* ; Ethnicity / genetics* ; Ethnicity / statistics & numerical data ; Follow-Up Studies ; Genetic Loci* ; Genetic Predisposition to Disease* ; Genome-Wide Association Study* ; Genotype ; Humans ; Polymorphism, Single Nucleotide* ; Prognosis ; United States / epidemiology
Abstract
Background Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5x10(-8)) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. Methods We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5x10(-8)) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. Results The discovery GWAS identified 11 variants associated with CRC at P < 5x10(-8), of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. Conclusions This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.
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DOI
10.1093/jnci/djy099
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Jee, Sun Ha(지선하) ORCID logo https://orcid.org/0000-0001-9519-3068
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/189163
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