Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, P.H.S.
Grantová podpora
R01 CA059045
NCI NIH HHS - United States
P30 ES010126
NIEHS NIH HHS - United States
U01 CA182883
NCI NIH HHS - United States
U01 CA137088
NCI NIH HHS - United States
U01 CA164930
NCI NIH HHS - United States
U01 CA206110
NCI NIH HHS - United States
R01 CA201407
NCI NIH HHS - United States
P01 CA196569
NCI NIH HHS - United States
001
World Health Organization - International
UG1 CA189974
NCI NIH HHS - United States
19167
Cancer Research UK - United Kingdom
R01 CA206279
NCI NIH HHS - United States
PubMed
35438744
PubMed Central
PMC9081195
DOI
10.1158/1055-9965.epi-21-1003
PII: 694506
Knihovny.cz E-zdroje
- MeSH
- celogenomová asociační studie * MeSH
- jednonukleotidový polymorfismus MeSH
- kolorektální nádory * etiologie genetika MeSH
- lidé MeSH
- pití alkoholu škodlivé účinky epidemiologie genetika MeSH
- respirační komplex IV genetika MeSH
- rizikové faktory MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, U.S. Gov't, P.H.S. MeSH
- Názvy látek
- COX15 protein, human MeSH Prohlížeč
- respirační komplex IV MeSH
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 = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 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.
Behavioral and Epidemiology Research Group American Cancer Society Atlanta Georgia
Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia
BioRealm LLC Walnut California
Broad Institute of Harvard and MIT Cambridge Massachusetts
Broad Institute of MIT and Harvard Cambridge Massachusetts
Cancer Epidemiology Division Cancer Council Victoria Melbourne Victoria Australia
Center for Public Health Genomics University of Virginia Charlottesville Virginia
CIBER Epidemiología y Salud Pública Madrid Spain
Clalit National Cancer Control Center Haifa Israel
Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia
Consortium for Biomedical Research in Epidemiology and Public Health Madrid Spain
Department of Biostatistics University of Washington Seattle Washington
Department of Clinical Sciences Faculty of Medicine University of Barcelona Barcelona Spain
Department of Community Medicine and Epidemiology Lady Davis Carmel Medical Center Haifa Israel
Department of Computer Science Stanford University Stanford California
Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore Maryland
Department of Epidemiology Richard M Fairbanks School of Public Health Indianapolis Indiana
Department of Epidemiology School of Public Health University of Washington Seattle Washington
Department of Family Medicine University of Virginia Charlottesville Virginia
Department of Genetics and Genome Sciences Case Western Reserve University Cleveland Ohio
Department of Genetics Stanford University Stanford California
Department of Hygiene and Epidemiology University of Ioannina School of Medicine Ioannina Greece
Department of Internal Medicine University of Utah Salt Lake City Utah
Department of Laboratory Medicine and Pathology Mayo Clinic Arizona Scottsdale Arizona
Department of Nutritional Sciences University of Michigan School of Public Health Ann Arbor Michigan
Department of Pathology School of Medicine Umm Al Qura'a University Saudi Arabia
Department of Population Health Sciences University of Utah Salt Lake City Utah
Department of Public Health and Primary Care University of Cambridge Cambridge United Kingdom
Department of Radiation Sciences Oncology Unit Umeå University Umeå Sweden
Division of Cancer Epidemiology German Cancer Research Center Heidelberg Germany
Division of Human Nutrition and Health Wageningen University and Research Wageningen the Netherlands
Division of Preventive Oncology German Cancer Research Center Heidelberg Germany
Division of Research Kaiser Permanente Northern California Oakland California
Faculty of Medicine and Biomedical Center in Pilsen Charles University Pilsen Czech Republic
Genetic Medicine and Family Cancer Clinic The Royal Melbourne Hospital Parkville Victoria Australia
Genomic Medicine Institute Cleveland Clinic Cleveland Ohio
German Cancer Consortium Heidelberg Germany
Harvard Medical School Boston Massachusetts
Huntsman Cancer Institute Salt Lake City Utah
Huntsman Cancer Institute University of Utah Salt Lake City Utah
Institute of Cancer Research Department of Medicine 1 Medical University Vienna Vienna Austria
Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden
IU Melvin and Bren Simon Cancer Center Indiana University Indianapolis Indiana
Leeds Institute of Cancer and Pathology University of Leeds Leeds United Kingdom
Memorial University of Newfoundland Discipline of Genetics St John's Canada
ONCOBEL Program Bellvitge Biomedical Research Institute L'Hospitalet de Llobregat Barcelona Spain
Population and Cancer Prevention Program Case Comprehensive Cancer Center Cleveland Ohio
Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle Washington
Ruth and Bruce Rappaport Faculty of Medicine Technion Israel Institute of Technology Haifa Israel
School of Public Health Capital Medical University Beijing China
Section of Nutrition and Metabolism International Agency for Research on Cancer Lyon France
Slone Epidemiology Center at Boston University Boston Massachusetts
SWOG Statistical Center Fred Hutchinson Cancer Research Center Seattle Washington
University Medical Centre Hamburg Eppendorf University Cancer Centre Hamburg Hamburg Germany
University of Hawaii Cancer Center Honolulu Hawaii
Wallenberg Centre for Molecular Medicine Umeå University Umeå Sweden
Zobrazit více v PubMed
McNabb S et al. Meta-analysis of 16 studies of the association of alcohol with colorectal cancer. Int. J. Cancer 146, 861–873 (2020). PubMed PMC
Rossi M, Anwar MJ, Usman A, Keshavarzian A & Bishehsari F Colorectal Cancer and Alcohol Consumption—Populations to Molecules. Cancers vol. 10 38 (2018). PubMed PMC
Pai JK et al. Moderate alcohol consumption and lower levels of inflammatory markers in US men and women. Atherosclerosis 186, 113–120 (2006). PubMed
Klarich DS et al. Effects of moderate alcohol consumption on gene expression related to colonic inflammation and antioxidant enzymes in rats. Alcohol 61, 25–31 (2017). PubMed PMC
Gunji T et al. Modest alcohol consumption has an inverse association with liver fat content. Hepatogastroenterology 59, 2552–2556 (2012). PubMed
Alatalo PI et al. Effect of moderate alcohol consumption on liver enzymes increases with increasing body mass index. Am. J. Clin. Nutr 88, 1097–1103 (2008). PubMed
Schubert SA, Morreau H, de Miranda NFCC & van Wezel T The missing heritability of familial colorectal cancer. Mutagenesis 35, 221–231 (2020). PubMed PMC
Morozova TV, Mackay TFC & Anholt RRH Genetics and genomics of alcohol sensitivity. Molecular Genetics and Genomics vol. 289 253–269 (2014). PubMed PMC
van Ijzendoorn MH et al. Gene-by-environment experiments: a new approach to finding the missing heritability. Nature reviews. Genetics vol. 12 881; author reply 881 (2011). PubMed
Dumitrescu RG Alcohol-Induced Epigenetic Changes in Cancer. Methods Mol. Biol 1856, 157–172 (2018). PubMed
Huyghe JR et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat. Genet 51, 76–87 (2019). PubMed PMC
Schmit SL et al. Novel Common Genetic Susceptibility Loci for Colorectal Cancer. JNCI: Journal of the National Cancer Institute 111, 146–157 (2018). PubMed PMC
Schumacher FR et al. Genome-wide association study of colorectal cancer identifies six new susceptibility loci. Nat. Commun 6, 7138 (2015). PubMed PMC
Hutter CM et al. Characterization of gene-environment interactions for colorectal cancer susceptibility loci. Cancer Res. 72, 2036–2044 (2012). PubMed PMC
Beuth J & Moss RW Complementary Oncology: Adjunctive Methods in the Treatment of Cancer. (Thieme, 2011).
Das S et al. Next-generation genotype imputation service and methods. Nat. Genet 48, 1284–1287 (2016). PubMed PMC
Hartung J & Knapp G A refined method for the meta-analysis of controlled clinical trials with binary outcome. Stat. Med 20, 3875–3889 (2001). PubMed
Cochran WG The Combination of Estimates from Different Experiments. Biometrics vol. 10 101 (1954).
Schwarzer G, Carpenter JR & Rücker G Meta-Analysis with R. (Springer, 2015).
Morrison J GxEScanR: Run GWAS/GWEIS Scans Using Binary Dosage Files. (2020).
Zheng J, Li Y, Abecasis GR & Scheet P A comparison of approaches to account for uncertainty in analysis of imputed genotypes. Genet. Epidemiol 35, 102–110 (2011). PubMed PMC
Murcray CE, Lewinger JP & Gauderman WJ Gene-Environment Interaction in Genome-Wide Association Studies. Am. J. Epidemiol 169, 219–226 (2009). PubMed PMC
Gauderman WJ et al. A Unified Model for the Analysis of Gene-Environment Interaction. Am. J. Epidemiol 188, 760–767 (2019). PubMed PMC
Kooperberg C & LeBlanc M Increasing the power of identifying gene × gene interactions in genome-wide association studies. Genet. Epidemiol 32, 255–263 (2008). PubMed PMC
Ionita-Laza I, McQueen MB, Laird NM & Lange C Genomewide Weighted Hypothesis Testing in Family-Based Association Studies, with an Application to a 100K Scan. Am. J. Hum. Genet 81, 607–614 (2007). PubMed PMC
Gao X, Starmer J & Martin ER A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms. Genet. Epidemiol 32, 361–369 (2008). PubMed
Pruim RJ et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics 26, 2336–2337 (2010). PubMed PMC
Díez-Obrero V et al. Genetic Effects on Transcriptome Profiles in Colon Epithelium Provide Functional Insights for Genetic Risk Loci. Cell Mol Gastroenterol Hepatol 12, 181–197 (2021). PubMed PMC
Devall M et al. Ethanol exposure drives colon location specific cell composition changes in a normal colon crypt 3D organoid model. Scientific Reports vol. 11 (2021). PubMed PMC
Taliun D et al. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature 590, 290–299 (2021). PubMed PMC
Cohen AJ et al. Hotspots of aberrant enhancer activity punctuate the colorectal cancer epigenome. Nat. Commun 8, 1–13 (2017). PubMed PMC
Lee J et al. ENCODE-DCC/atac-seq-pipeline: v1.9.1 (2020) doi:10.5281/zenodo.4204092. DOI
Lee J, Seth Strattan J, annashcherbina, Kagda M & Maurizio PL ENCODE-DCC/chip-seq-pipeline2: v1.6.1 (2020) doi:10.5281/zenodo.4204129. DOI
Li Q, Brown JB, Huang H & Bickel PJ Measuring reproducibility of high-throughput experiments. The Annals of Applied Statistics vol. 5 (2011).
Lopez-Delisle L et al. pyGenomeTracks: reproducible plots for multivariate genomic data sets. Bioinformatics (2020) doi:10.1093/bioinformatics/btaa692. PubMed DOI PMC
Quinlan AR BEDTools: The Swiss-Army Tool for Genome Feature Analysis. Current Protocols in Bioinformatics vol. 47 (2014). PubMed PMC
Lee D LS-GKM: a new gkm-SVM for large-scale datasets. Bioinformatics 32, 2196–2198 (2016). PubMed PMC
Chang CC et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience vol. 4 (2015). PubMed PMC
Katsnelson A 1000 Genomes Project reveals human variation. Nature (2010) doi:10.1038/news.2010.567. DOI
Shrikumar A, Prakash E & Kundaje A Gkmexplain: Fast and Accurate Interpretation of Nonlinear Gapped k-mer SVMs Using Integrated Gradients. doi:10.1101/457606. PubMed DOI PMC
Gupta S, Stamatoyannopoulos JA, Bailey TL & Noble W Quantifying similarity between motifs. Genome Biology vol. 8 R24 (2007). PubMed PMC
Ernst J & Kellis M Chromatin-state discovery and genome annotation with ChromHMM. Nat. Protoc. 12, 2478–2492 (2017). PubMed PMC
Roadmap Epigenomics Consortium et al. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015). PubMed PMC
Kang X et al. Zinc supplementation reverses alcohol-induced steatosis in mice through reactivating hepatocyte nuclear factor-4alpha and peroxisome proliferator-activated receptor-alpha. Hepatology 50, 1241–1250 (2009). PubMed PMC
Komaki Y, Komaki F, Micic D, Ido A & Sakuraba A Risk of colorectal cancer in chronic liver diseases: a systematic review and meta-analysis. Gastrointest. Endosc 86, 93–104.e5 (2017). PubMed
Stoffel M & Duncan SA The maturity-onset diabetes of the young (MODY1) transcription factor HNF4alpha regulates expression of genes required for glucose transport and metabolism. Proc. Natl. Acad. Sci. U. S. A 94, 13209–13214 (1997). PubMed PMC
Chellappa K, Robertson GR & Sladek FM HNF4α: a new biomarker in colon cancer? Biomark. Med 6, 297 (2012). PubMed PMC
Schmiedel BJ et al. Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression. Cell vol. 175 1701–1715.e16 (2018). PubMed PMC
Gong J et al. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer. PLoS Genet. 12, e1006296 (2016). PubMed PMC
Li M-X, Yeung JMY, Cherny SS & Sham PC Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets. Hum. Genet 131, 747–756 (2012). PubMed PMC
Dixit A et al. Perturb-seq: Dissecting molecular circuits with scalable single cell RNA profiling of pooled genetic screens. Cell 167, 1853 (2016). PubMed PMC
Schraivogel D et al. Targeted Perturb-seq enables genome-scale genetic screens in single cells. Nat. Methods 17, 629–635 (2020). PubMed PMC