Abstract
Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1–28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models. Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose–response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype ¼ 1.11; 95% confidence interval (CI), 1.06–1.17; OR for AA genotype ¼ 1.22; 95% CI, 1.14–1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif. Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region. Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920.
Original language | English (US) |
---|---|
Pages (from-to) | 1077-1089 |
Number of pages | 13 |
Journal | Cancer Epidemiology Biomarkers and Prevention |
Volume | 31 |
Issue number | 5 |
DOIs | |
State | Published - May 2022 |
ASJC Scopus subject areas
- Epidemiology
- Oncology
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In: Cancer Epidemiology Biomarkers and Prevention, Vol. 31, No. 5, 05.2022, p. 1077-1089.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Beyond GWAS of Colorectal Cancer
T2 - Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region
AU - Jordahl, Kristina M.
AU - Shcherbina, Anna
AU - Kim, Andre E.
AU - Su, Yu Ru
AU - Lin, Yi
AU - Wang, Jun
AU - Qu, Conghui
AU - Albanes, Demetrius
AU - Arndt, Volker
AU - Baurley, James W.
AU - Berndt, Sonja I.
AU - Bien, Stephanie A.
AU - Bishop, D. Timothy
AU - Bouras, Emmanouil
AU - Brenner, Hermann
AU - Buchanan, Daniel D.
AU - Budiarto, Arif
AU - Campbell, Peter T.
AU - Carreras-Torres, Robert
AU - Casey, Graham
AU - Cenggoro, Tjeng Wawan
AU - Chan, Andrew T.
AU - Conti, David V.
AU - Dampier, Christopher H.
AU - Devall, Matthew A.
AU - Díez-Obrero, Virginia
AU - Dimou, Niki
AU - Drew, David A.
AU - Figueiredo, Jane C.
AU - Gallinger, Steven
AU - Giles, Graham G.
AU - Gruber, Stephen B.
AU - Gsur, Andrea
AU - Gunter, Marc J.
AU - Hampel, Heather
AU - Harlid, Sophia
AU - Harrison, Tabitha A.
AU - Hidaka, Akihisa
AU - Hoffmeister, Michael
AU - Huyghe, Jeroen R.
AU - Jenkins, Mark A.
AU - Joshi, Amit D.
AU - Keku, Temitope O.
AU - Larsson, Susanna C.
AU - Le Marchand, Loic
AU - Lewinger, Juan Pablo
AU - Li, Li
AU - Mahesworo, Bharuno
AU - Moreno, Victor
AU - Morrison, John L.
AU - Murphy, Neil
AU - Nan, Hongmei
AU - Nassir, Rami
AU - Newcomb, Polly A.
AU - Obon-Santacana, Mireia
AU - Ogino, Shuji
AU - Ose, Jennifer
AU - Pai, Rish K.
AU - Palmer, Julie R.
AU - Papadimitriou, Nikos
AU - Pardamean, Bens
AU - Peoples, Anita R.
AU - Pharoah, Paul D.P.
AU - Platz, Elizabeth A.
AU - Potter, John D.
AU - Prentice, Ross L.
AU - Rennert, Gad
AU - Ruiz-Narvaez, Edward
AU - Sakoda, Lori C.
AU - Scacheri, Peter C.
AU - Schmit, Stephanie L.
AU - Schoen, Robert E.
AU - Slattery, Martha L.
AU - Stern, Mariana C.
AU - Tangen, Catherine M.
AU - Thibodeau, Stephen N.
AU - Thomas, Duncan C.
AU - Tian, Yu
AU - Tsilidis, Konstantinos K.
AU - Ulrich, Cornelia M.
AU - van Duijnhoven, Franzel J.B.
AU - Van Guelpen, Bethany
AU - Visvanathan, Kala
AU - Vodicka, Pavel
AU - White, Emily
AU - Wolk, Alicja
AU - Woods, Michael O.
AU - Wu, Anna H.
AU - Zemlianskaia, Natalia
AU - Chang-Claude, Jenny
AU - Gauderman, W. James
AU - Hsu, Li
AU - Kundaje, Anshul
AU - Peters, Ulrike
N1 - Funding Information: during the conduct of the study. V. Moreno reports grants from Agency for Management of University and Research Grants (AGAUR) of the Catalan Government and Instituto de Salud Carlos III during the conduct of the study. S. Ogino reports grants from NIH during the conduct of the study. R.K. Pai reports personal fees from Alimentiv Inc, PathAI, Allergan, AbbVie, and Eli Lilly outside the submitted work. J.R. Palmer reports grants from NIH during the conduct of the study. P.D.P. Pharoah reports grants from Cancer Research UK during the conduct of the study. E.A. Platz reports grants from NCI and AICR during the conduct of the study as well as personal fees from American Association for Cancer Research outside the submitted work. R.L. Prentice reports grants from NHLBI/NIH during the conduct of the study. L.C. Sakoda reports grants from NCI during the conduct of the study as well as grants from NCI and personal fees from NIH outside the submitted work. P.C. Scacheri reports grants and personal fees from Kronos Bio outside the submitted work. S.L. Schmit reports grants from NIEHS during the conduct of the study. R.E. Schoen reports grants from Freenome, Immunovia, and Exact outside the submitted work. M.L. Slattery reports grants from NCI during the conduct of the study. M.C. Stern reports grants from University of Southern California during the conduct of the study. C.M. Ulrich reports, as cancer center director, having oversight over research fundedbyseveralpharmaceutical companies, but has not receiveddirect funding. B.Van Guelpen reports grants from Swedish Research Council, through Biobank Sweden, during the conduct of the study. A. Wolk reports grants from The Swedish Cancer Foundation and The Swedish Research Council/SIMPLER during the conduct of the study. A. Kundaje reports personal fees from Ilumina Inc. and Open Targets (GSK) outside the submitted work. No disclosures were reported by the other authors. Funding Information: Genotyping services were provided by the Center for Inherited Disease Research (CIDR). Cancer data were provided by the Maryland Cancer Registry, Center for Cancer Prevention and Control, Maryland Department of Health. This research has been conducted using the UK Biobank Resource under Application Number 8614. We would also like to acknowledge data from VITAL, WHI. We thank all participants and cooperating clinicians, and everyone who provided excellent technical assistance from the following organizations, registries, and consortia: Colon CFR; Seattle CCFR; Hormones and Colon Cancer study (CORE Studies); CLUE II; CPS-II; Czech Republic CCS; DACHS; EPIC; Harvard cohorts (HPFS, NHS); Channing Division of Network Medicine; Department of Medicine, Brigham and Women’s Hospital and Harvard T.H. Chan School of Public Health; Kentucky Cancer Registry; LCCS: We acknowledge the contributions of Jennifer Barrett, Robin Waxman, Gillian Smith and Emma Northwood in conducting this study; PLCO Cancer Screening Trial; District of Columbia Cancer Registry, Georgia Cancer Registry, Hawaii Cancer Registry, Minnesota Cancer Surveillance System, Missouri Cancer Registry, Nevada Central Cancer Registry, Pennsylvania Cancer Registry, Texas Cancer Registry, Virginia Cancer Registry, and Wisconsin Cancer Reporting System. All are supported in part by funds from the Center for Disease Control and Prevention, National Program for Central Registries, local states or by the National Cancer Institute, Surveillance, Epidemiology, and End Results program; SELECT; WHI. GECCO: National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services (U01 CA137088, R01 CA059045, U01 CA164930, R01201407). The Editor-in-Chief of Cancer Epidemiology, Biomarkers & Prevention is an author on this article. In keeping with AACR editorial policy, a senior member of the Cancer Epidemiology, Biomarkers & Prevention editorial team managed the consideration process for this submission and independently rendered the final decision concerning acceptability. Funding Information: K.M. Jordahl reports grants from NCI (T32-CA094880) during the conduct of the study. A. Shcherbina reports other support from Insitro, Inc and personal fees from Bristol-Myers Squibb, Inc outside the submitted work. Y.-R. Su reports grants from NIH during the conduct of the study. S.A. Bien is an employee of and holds stock in Adaptive Biotechnologies. G. Casey reports grants from NIH during the conduct of the study. A.T. Chan reports personal fees from Bayer Pharma AG and Boehringer Ingelheim and grants and personal fees from Pfizer Inc. outside the submitted work. C.H. Dampier reports grants from NIH during the conduct of the study. D.A. Drew reports grants from NIH during the conduct of the study. G.G. Giles reports grants from National Health and Medical Research Council (Australia) during the conduct of the study. S.B. Gruber reports other support from Brogent International LLC outside the submitted work. H. Hampel reports other support from Myriad Genetics, Inc during the conduct of the study as well as other support from Invitae, Genome Medical, Promega, and GI OnDEMAND outside the submitted work. M.A. Jenkins reports grants from NIH and National Health and Medical Research Council, Australia during the conduct of the study. L. Le Marchand reports grants from NCI Publisher Copyright: ©2022 American Association for Cancer Research
PY - 2022/5
Y1 - 2022/5
N2 - Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1–28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models. Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose–response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype ¼ 1.11; 95% confidence interval (CI), 1.06–1.17; OR for AA genotype ¼ 1.22; 95% CI, 1.14–1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif. Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region. Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920.
AB - Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1–28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models. Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose–response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype ¼ 1.11; 95% confidence interval (CI), 1.06–1.17; OR for AA genotype ¼ 1.22; 95% CI, 1.14–1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif. Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region. Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920.
UR - http://www.scopus.com/inward/record.url?scp=85129781310&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129781310&partnerID=8YFLogxK
U2 - 10.1158/1055-9965.EPI-21-1003
DO - 10.1158/1055-9965.EPI-21-1003
M3 - Article
C2 - 35438744
AN - SCOPUS:85129781310
SN - 1055-9965
VL - 31
SP - 1077
EP - 1089
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 5
ER -