Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response

. 2023 Mar 06 ; 32 (3) : 315-328.

Jazyk angličtina Země Spojené státy americké Médium print

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid36576985

Grantová podpora
U01 HG004446 NHGRI NIH HHS - United States
K05 CA154337 NCI NIH HHS - United States
U01 CA164930 NCI NIH HHS - United States
U01 CA167551 NCI NIH HHS - United States
R01 CA042182 NCI NIH HHS - United States
HHSN268201100003I NHLBI NIH HHS - United States
P01 CA196569 NCI NIH HHS - United States
001 World Health Organization - International
R01 CA059045 NCI NIH HHS - United States
HHSN268201100001I NHLBI NIH HHS - United States
R01 CA197350 NCI NIH HHS - United States
R01 CA076366 NCI NIH HHS - United States
R35 CA197735 NCI NIH HHS - United States
P30 ES007048 NIEHS NIH HHS - United States
U01 HG004438 NHGRI NIH HHS - United States
U10 CA037429 NCI NIH HHS - United States
U01 CA182883 NCI NIH HHS - United States
R01 CA072520 NCI NIH HHS - United States
P01 CA087969 NCI NIH HHS - United States
R01 CA248857 NCI NIH HHS - United States
P30 CA015704 NCI NIH HHS - United States
HHSN268201100004I NHLBI NIH HHS - United States
P30 CA006973 NCI NIH HHS - United States
P01 CA055075 NCI NIH HHS - United States
S10 OD028685 NIH HHS - United States
R01 CA151993 NCI NIH HHS - United States
HHSN268201100046C NHLBI NIH HHS - United States
P30 DK034987 NIDDK NIH HHS - United States
U01 CA167552 NCI NIH HHS - United States
R01 CA048998 NCI NIH HHS - United States
U01 CA137088 NCI NIH HHS - United States
HHSN268201100003C WHI NIH HHS - United States
Z01 CP010200 Intramural NIH HHS - United States
U24 CA074794 NCI NIH HHS - United States
R01 CA066635 NCI NIH HHS - United States
R21 CA191312 NCI NIH HHS - United States
HHSN268201200008C NHLBI NIH HHS - United States
R01 CA137178 NCI NIH HHS - United States
U01 CA074794 NCI NIH HHS - United States
P30 CA014089 NCI NIH HHS - United States
R01 CA081488 NCI NIH HHS - United States
HHSN271201100004C NIA NIH HHS - United States
R01 CA201407 NCI NIH HHS - United States
R01 CA063464 NCI NIH HHS - United States
P01 CA033619 NCI NIH HHS - United States
U01 CA086308 NCI NIH HHS - United States
UM1 CA186107 NCI NIH HHS - United States
HHSN268201100002C WHI NIH HHS - United States
R03 CA153323 NCI NIH HHS - United States
R01 CA060987 NCI NIH HHS - United States
T32 ES013678 NIEHS NIH HHS - United States
R01 CA136726 NCI NIH HHS - United States
14136 Cancer Research UK - United Kingdom
UM1 CA167552 NCI NIH HHS - United States
K05 CA152715 NCI NIH HHS - United States
U01 CA122839 NCI NIH HHS - United States
HHSN268201100002I NHLBI NIH HHS - United States
U01 CA084968 NCI NIH HHS - United States
KL2 TR000421 NCATS NIH HHS - United States
U01 CA074783 NCI NIH HHS - United States
R35 CA253185 NCI NIH HHS - United States
UM1 CA182883 NCI NIH HHS - United States
HHSN268201200008I NHLBI NIH HHS - United States
P30 CA071789 NCI NIH HHS - United States
R37 CA054281 NCI NIH HHS - United States
HHSN268201100001C WHI NIH HHS - United States
HHSN268201100004C WHI NIH HHS - United States
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HHSN268201700006C NHLBI NIH HHS - United States
U19 CA148107 NCI NIH HHS - United States
U01 AG018033 NIA NIH HHS - United States

BACKGROUND: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. METHODS: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. RESULTS: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33). CONCLUSIONS: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response. IMPACT: These findings can guide potential prevention treatments.

Behavioral and Epidemiology Research Group American Cancer Society Atlanta Georgia

Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia

Biomedical Informatics Program Dept of Biomedical Data Sciences Stanford University Stanford California

Broad Institute of MIT and Harvard Cambridge Massachusetts

Cancer Epidemiology Division Cancer Council Victoria Melbourne Victoria Australia

Center for Gastrointestinal Biology and Disease University of North Carolina Chapel Hill North Carolina

Center for Public Health Genomics Department of Public Health Sciences University of Virginia Charlottesville Virginia

Centre for Epidemiology and Biostatistics Melbourne School of Population and Global Health The University of Melbourne Melbourne Victoria Australia

Clinical and Translational Epidemiology Unit Massachusetts General Hospital and Harvard Medical School Boston Massachusetts

Colorectal Cancer Group ONCOBELL Program Bellvitge Biomedical Research Institute L'Hospitalet de Llobregat Barcelona Spain

Consortium for Biomedical Research in Epidemiology and Public Health Madrid Spain

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 Epidemiology and Biostatistics School of Public Health Imperial College London London United Kingdom

Department of Epidemiology Harvard T H Chan School of Public Health Boston Massachusetts

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 Family Medicine University of Virginia Charlottesville Virginia

Department of General Surgery University of Virginia School of Medicine Charlottesville Virginia

Department of Genetics and Genome Sciences Case Western Reserve University Cleveland Ohio

Department of Genetics Department of Computer Science 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 Medical Oncology and Therapeutics Research City of Hope National Medical Center Duarte California

Department of Medicine and Epidemiology University of Pittsburgh Medical Center Pittsburgh Pennsylvania

Department of Medicine Samuel Oschin Comprehensive Cancer Institute Cedars Sinai Medical Center Los Angeles California

Department of Molecular Biology of Cancer Institute of Experimental Medicine of the Czech Academy of Sciences Prague and Biomedical Center Medical Faculty Pilsen Czech Republic

Department of Nutritional Sciences University of Michigan School of Public Health Ann Arbor Michigan

Department of Oncologic Pathology Dana Farber Cancer Institute Boston Massachusetts

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

Digestive Diseases and Microbiota Group Girona Biomedical Research Institute Salt Girona Spain

Division of Biostatistics Department of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles California

Division of Cancer Epidemiology and Genetics NCI NIH Bethesda Maryland

Division of Cancer Epidemiology German Cancer Research Center Heidelberg Germany

Division of Clinical Epidemiology and Aging Research German Cancer Research Center Heidelberg Germany

Division of Gastroenterology Massachusetts General Hospital and Harvard Medical School Boston Massachusetts

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

Genomic Medicine Institute Cleveland Clinic Cleveland Ohio

German Cancer Consortium Heidelberg Germany

Huntsman Cancer Institute 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

Leeds Institute of Cancer and Pathology University of Leeds Leeds United Kingdom

Lunenfeld Tanenbaum Research Institute Mount Sinai Hospital University of Toronto Toronto Ontario Canada

Memorial University of Newfoundland Discipline of Genetics St John's Canada

Nutrition and Metabolism Branch International Agency for Research on Cancer Lyon France

Oncology Data Analytics Program Catalan Institute of Oncology L'Hospitalet de Llobregat Barcelona Spain

Population and Cancer Prevention Program Case Comprehensive Cancer Center Cleveland Ohio

Program in MPE Molecular Pathological Epidemiology Department of Pathology Brigham and Women's Hospital Harvard Medical School Boston Massachusetts

Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle Washington

School of Public Health Capital Medical University Beijing P R China

School of Public Health University of Washington Seattle Washington

Service de Génétique Médicale Centre Hospitalier Universitaire Nantes Nantes France

Slone Epidemiology Center at Boston University Boston Massachusetts

SWOG Statistical Center Fred Hutchinson Cancer Research Center Seattle Washington

University of Hawaii Cancer Center Honolulu Hawaii

Wallenberg Centre for Molecular Medicine Umeå University Umeå Sweden

Zobrazit více v PubMed

Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2018;68:394–424. PubMed

Huyghe JR, Bien SA, Harrison TA, Kang HM, Abecasis GR, Nickerson DA, et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet. 2019;51:76–87. PubMed PMC

Huyghe JR, Harrison TA, Bien SA, Hampel H, Figueiredo JC, Schmit SL, et al. Genetic architectures of proximal and distal colorectal cancer are partly distinct. Gut. 2021;0:1–10. PubMed PMC

Law PJ, Timofeeva M, Fernandez-Rozadilla C, Broderick P, Studd J, Fernandez-Tajes J, et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat Commun. 2019;10:2154. PubMed PMC

Lu Y, Kweon SS, Tanikawa C, Jia WH, Xiang YB, Cai Q, et al. Large-Scale Genome-Wide Association Study of East Asians Identifies Loci Associated With Risk for Colorectal Cancer. Gastroenterology [Internet]. Elsevier, Inc; 2019;156:1455–66. Available from: 10.1053/j.gastro.2018.11.066 PubMed DOI PMC

Lu Y, Kweon S, Cai Q, Tanikawa C, Shu X, Jia W, et al. Identification of Novel Loci and New Risk Variant in Known Loci for Colorectal Cancer Risk in East Asians. Cancer Epidemiol Biomarkers Prev. 2020;29:477–86. PubMed PMC

Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, et al. Environmental and heritable factors in the causation of cancer - Analyses of Cohorts of Twins from Sweden, Denmark, and Finland. N Engl J Med. 2000;343:78–85. PubMed

Génin E Missing heritability of complex diseases: case solved? Hum Genet [Internet]. Springer Berlin Heidelberg; 2020;139:103–13. Available from: 10.1007/s00439-019-02034-4 PubMed DOI

Islami F, Bandi P, Sahar L, Ma J, Drope J, Jemal A. Cancer deaths attributable to cigarette smoking in 152 U.S. metropolitan or micropolitan statistical areas , 2013 – 2017. Cancer Causes Control [Internet]. Springer International Publishing; 2021;32:311–6. Available from: 10.1007/s10552-020-01385-y PubMed DOI

Kim H, Wang K, Song M, Giovannucci EL. A comparison of methods in estimating population attributable risk for colorectal cancer in the United States. Int J Cancer. 2021;148:2947–53. PubMed PMC

Wang S, Yuan Z, Wang Y, Zhao X, Gao W, Li H, et al. Modifiable lifestyle factors have a larger contribution to colorectal neoplasms than family history. BMC Cancer [Internet]. BioMed Central; 2022;22:1051. Available from: 10.1186/s12885-022-10141-1 PubMed DOI PMC

Secretan B, Straif K, Baan R, Grosse Y, Ghissassi F El, Bouvard V, et al. A review of human carcinogens — Part E: tobacco, areca nut, alcohol, coal smoke, and salted fish. Lancet Oncol [Internet]. 2009;10:1033–4. Available from: 10.1016/S1470-2045(09)70326-2 PubMed DOI

Murphy N, Ward HA, Jenab M, Rothwell JA, Carbonnel F, Kvaskoff M, et al. Heterogeneity of Colorectal Cancer Risk Factors by Anatomical Subsite in 10 European Countries: A Multinational Cohort Study. Clin Gastroenterol Hepatol [Internet]. Elsevier, Inc; 2019;17:1323–1331.e6. Available from: 10.1016/j.cgh.2018.07.030 PubMed DOI PMC

Botteri E, Borroni E, Sloan EK, Bagnardi V, Bosetti C, Peveri G, et al. Smoking and Colorectal Cancer Risk, Overall and by Molecular Subtypes: A Meta-Analysis. Am J Gastroenterol. 2020;115:1940–9. PubMed

Liang PS, Chen T, Giovannucci E. Cigarette smoking and colorectal cancer incidence and mortality: Systematic review and meta-analysis. Int J Cancer. 2009;124:2406–15. PubMed

Dimou N, Yarmolinsky J, Bouras E, Tsilidis KK, Martin RM, Lewis SJ, et al. Causal effects of lifetime smoking on breast and colorectal cancer risk: Mendelian randomization study. Cancer Epidemiol Biomarkers Prev. 2021;30:953–64. PubMed PMC

Burgess S, Labrecque JA. Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates. Eur J Epidemiol [Internet]. Springer Netherlands; 2018;33:947–52. Available from: 10.1007/s10654-018-0424-6 PubMed DOI PMC

Li Y, Xiao X, Han Y, Gorlova O, Qian D, Leighl N, et al. Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population. Carcinogenesis. 2018;39:336–46. PubMed PMC

Kundu P, Mocci E, Wheeler W, Amundadottir LT, Li D, Jacobs EJ, et al. Genome-wide interaction scan identifies gene by smoking interaction at 2q21.3 for pancreatic cancer risk. Cancer Res. 2020;

Figueroa JD, Han SS, Baris D, Jacobs EJ, Kogevinas M, Schwenn M, et al. Genome-wide interaction study of smoking and bladder cancer risk. Carcinogenesis. 2014;35:1737–44. PubMed PMC

Jiao S, Peters U, Berndt S, Brenner H, Butterbach K, Caan BJ, et al. Estimating the heritability of colorectal cancer. Hum Mol Genet. 2014;23:3898–905. PubMed PMC

Gong J, Hutter CM, Newcomb PA, Ulrich CM, Bien A, Campbell PT, et al. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer. PLoS Genet. 2016;12:e1006296. PubMed PMC

Smith PG, Day NE. The Design of Case-Control Studies: The Influence of Confounding and Interaction Effects. Int J Epidemiol. 1984;13:356–365. PubMed

Gauderman WJ, Mukherjee B, Aschard H, Hsu L, Lewinger JP, Patel CJ, et al. Special Article Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. Am J Epidemiol. 2017;186:762–70. PubMed PMC

Jeon J, Du M, Schoen RE, Hoffmeister M, Newcomb PA, Berndt SI, et al. Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors. Gastroenterology. 2018;154:2152–64. PubMed PMC

Wang X, Connell KO, Jeon J, Song M, Hunter D, Hoffmeister M, et al. Combined effect of modifiable and non-modifiable risk factors for colorectal cancer risk in a pooled analysis of 11 based studies. BMJ Open Gastroentorology. 2019;6:e000339. PubMed PMC

Peters U, Jiao S, Schumacher FR, Hutter CM, Aragaki AK, Baron JA, et al. Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis. Gastroenterology. 2013;144:799–807. PubMed PMC

McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood AR, Teumer A, et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet. 2016;48:1279–83. PubMed PMC

Das S, Forer L, Schönherr S, Sidore C, Locke AE, Kwong A, et al. Next-generation genotype imputation service and methods. Nat Genet. 2016;48:1284–7. PubMed PMC

Gauderman WJ, Kim A, Conti DV, Morrison J, Thomas DC, Vora H, et al. A Unified Model for the Analysis of Gene-Environment Interaction. Am Lournal Epidemiol. 2019;188:760–7. PubMed PMC

Kraft P, Yen Y, Stram O, Morrison J, Gauderman WJ. Exploiting Gene-Environment Interaction to Detect Genetic Associations. Hum Hered. 2007;63:111–9. PubMed

Murcray CE, Lewinger JP, Gauderman WJ. Gene-Environment Interaction in Genome-Wide Association Studies. Am J Epidemiol. 2009;169:219–26. PubMed PMC

Dai JY, Kooperberg C, Leblanc M, Prentice RL. Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction. Biometrika. 2012;99:929–44. PubMed PMC

Gauderman WJ, Zhang P, Morrison JL, Lewinger JP. Finding Novel Genes by Testing G×E Interactions in a Genome-Wide Association Study. Genet Epidemiol. 2013;37:603–613,. 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. 2007;81:607–14. PubMed PMC

Kawaguchi ES, Kim AE, Lewinger JP, Gauderman WJ. Improved two-step testing of genome-wide gene-environment interactions. bioRxiv [Internet]. 2022; Available from: https://www.biorxiv.org/content/10.1101/2022.06.14.496154v2 PubMed DOI PMC

Vander Weele TJ, Ko YA, Mukherjee B. Environmental confounding in gene-environment interaction studies. Am J Epidemiol. 2013;178:144–52. PubMed PMC

Carreras-Torres R, Johansson M, Haycock PC, Relton CL, Davey Smith G, Brennan P, et al. Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank. BMJ. 2018;361:k1767. PubMed PMC

Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics. 2010;26:2336–7. PubMed PMC

Cohen AJ, Saiakhova A, Corradin O, Luppino JM, Lovrenert K, Bartels CF, et al. Hotspots of aberrant enhancer activity punctuate the colorectal cancer epigenome. Nat Commun. Nature Publishing Group; 2017;8:14400. PubMed PMC

The GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science (80- ). 2020;369:1318–1330. PubMed PMC

Díez-Obrero V, Dampier CH, Moratalla-Navarro F, Devall M, Plummer SJ, Díez-Villanueva A, et al. Genetic Effects on Transcriptome Profiles in Colon Epithelium Provide Functional Insights for Genetic Risk Loci. Cell Mol Gastroenterol Hepatol [Internet]. Elsevier Inc; 2021;12:181–97. Available from: 10.1016/j.jcmgh.2021.02.003 PubMed DOI PMC

Gamazon ER, Wheeler HE, Shah KP, Mozaffari SV, Aquino-michaels K, Carroll RJ, et al. A gene-based association method for mapping traits using reference transcriptome data. Nat Genet. 2015;47. PubMed PMC

Chang G, Xu S, Dhir R, Chandran U, Keefe DSO, Greenberg NM, et al. Hypoexpression and Epigenetic Regulation of Candidate Tumor Suppressor Gene CADM-2 in Human Prostate Cancer. Clin Cancer Res. 2010;16:5390–402. PubMed PMC

Chen YB, Gao L, Zhang JD, Guo J, You PH, Tang LY, et al. Weighted Gene Coexpression Network Analysis to Construct Competitive Endogenous RNA Network in Chromogenic Renal Cell Carcinoma. Biomed Res Int. 2021;2021. PubMed PMC

Cody NAL, Shen Z, Ripeau J, Provencher DM, Chevrette M, Tonin PN. Characterization of the 3p12.3-pcen Region Associated With Tumor Suppression in a Novel Ovarian Cancer Cell Line Model Genetically Modified by Chromosome 3 Fragment Transfer. Mol Carcinog. 2009;48:1077–92. PubMed

Lake SL, Coupland SE, Taktak AFG, Damato BE. Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma. Anat Pathol. 2010;51:4884–91. PubMed

Li D, Zhang Y, Zhang H, Zhan C, Li X, Ba T, et al. CADM2, as a new target of miR-10b, promotes tumor metastasis through FAK/AKT pathway in hepatocellular carcinoma. J Exp Clin Cancer Res. 2018;37:1–11. PubMed PMC

Liu N, Yang C, Bai W, Wang Z, Wang X, Johnson M, et al. CADM2 inhibits human glioma proliferation, migration and invasion. Oncol Rep. 2019;41:2273–80. PubMed

Roy D, Sin S, Damania B, Dittmer DP. Tumor suppressor genes FHIT and WWOX are deleted in primary effusion lymphoma (PEL) cell lines. Blood. 2011;118:32–9. PubMed PMC

Sanchez-Roige S, Fontanillas P, Elson SL, Gray JC, De Wit H, MacKillop J, et al. Genome-wide association studies of impulsive personality traits (BIS-11 and UPPS-P) and drug experimentation in up to 22,861 adult research participants identify loci in the CACNA1I and CADM2 genes. J Neurosci. 2019;39:2562–72. PubMed PMC

Arends RM, Pasman JA, Verweij KJH, Derks EM, Gordon SD, Hickie I, et al. Associations between the CADM2 gene, substance use, risky sexual behavior, and self-control: A phenome-wide association study. Addict Biol. 2021;26:1–13. PubMed PMC

Strawbridge RJ, Ward J, Cullen B, Tunbridge EM, Hartz S, Bierut L, et al. Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort. Transl Psychiatry. Springer US; 2018;8:1–11. PubMed PMC

Gros P, Milder FJ, Janssen BJC. Complement driven by conformational changes. Nat Rev Immunol. 2008;8:48–58. PubMed

Carroll MV, Sim RB. Complement in health and disease. Adv Drug Deliv Rev [Internet]. Elsevier B.V.; 2011;63:965–75. Available from: 10.1016/j.addr.2011.06.005 PubMed DOI

Juyal G, Negi S, Sood A, Gupta A, Prasad P, Senapati S, et al. Genome-wide association scan in north Indians reveals three novel HLA-independent risk loci for ulcerative colitis. Gut. 2015;64:571–9. PubMed

Gupta A, Juyal G, Sood A, Midha V, Yamazaki K, Vila AV, et al. A cross-ethnic survey of CFB and SLC44A4 , Indian ulcerative colitis GWAS hits , underscores their potential role in disease susceptibility. Eur J Hum Genet [Internet]. Nature Publishing Group; 2017;25:111–22. Available from: 10.1038/ejhg.2016.131 PubMed DOI PMC

Shi D, Zhong Z, Wang M, Cai L, Fu D, Peng Y, et al. Identification of susceptibility locus shared by IgA nephropathy and inflammatory bowel disease in a Chinese Han population. J Hum Genet. 2020;65:241–9. PubMed

Ron D, Walter P. Signal integration in the endoplasmic reticulum unfolded protein response. Nat Rev Mol Cell Biol. 2007;8:519–29. PubMed

Suhre K, Arnold M, Bhagwat AM, Cotton RJ, Engelke R, Raffler J, et al. Connecting genetic risk to disease end points through the human blood plasma proteome. Nat Commun. 2017;8:14357. PubMed PMC

Rivera NV, Ronninger M, Shchetynsky K, Franke A, Nöthen MM, Ller-Quernheim JM, et al. High-Density Genetic Mapping Identifies New Susceptibility Variants in Sarcoidosis Phenotypes and Shows Genomic-driven Phenotypic Differences. Am J Respir Crit Care Med. 2016;193:1008–22. PubMed PMC

Kim W, Prokopenko D, Sakornsakolpat P, Hobbs BD, Lutz SM, Hokanson JE, et al. Genome-Wide Gene-by-Smoking Interaction Study of Chronic Obstructive. Am J Epidemiol. 2020;190:875–85. PubMed PMC

Wu F, Shirahata A, Sakuraba K, Kitamura Y, Goto T, Saito M, et al. Down-regulation of EGFL8: A Novel Biomarker for Advanced Gastric Cancer. Anticancer Res. 2011;31:3377–80. PubMed

Shi S, Ma T, Xi Y. A Pan-Cancer Study of Epidermal Growth Factor-Like Domains 6/7/8 as Therapeutic Targets in Cancer. Front Genet. 2020;11:598743. PubMed PMC

Savin Z, Kivity S, Yonath H, Yehuda S. Smoking and the intestinal microbiome. Arch Microbiol [Internet]. Springer Berlin Heidelberg; 2018;200:677–84. Available from: 10.1007/s00203-018-1506-2 PubMed DOI

Huang C, Shi G. Smoking and microbiome in oral, airway, gut and some systemic diseases. J Transl Med [Internet]. BioMed Central; 2019;17:1–15. Available from: 10.1186/s12967-019-1971-7 PubMed DOI PMC

Wong SH, Yu J. Gut microbiota in colorectal cancer: mechanisms of action and clinical applications. Nat Rev Gastroenterol Hepatol [Internet]. Springer US; 2019;16:690–704. Available from: 10.1038/s41575-019-0209-8 PubMed DOI

Huybrechts I, Zouiouich S, Loobuyck A, Vandenbulcke Z, Vogtmann E, Pisanu S, et al. The Human Microbiome in Relation to Cancer Risk: A Systematic Review of Epidemiologic Studies. Cancer Epidemiol Biomarkers Prev. 2020;29:1856–69. PubMed PMC

Hamada T, Nowak JA, Masugi Y, Drew DA, Song M, Cao Y, et al. Smoking and risk of colorectal cancer sub-classified by tumor-infiltrating T cells. J Natl Cancer Inst. 2019;111:42–51. PubMed PMC

Ugai T, Väyrynen JP, Haruki K, Akimoto N, Lau MC, Zhong R, et al. Smoking and Incidence of Colorectal Cancer Subclassified by Tumor-Associated Macrophage Infiltrates. JNCI J Natl Cancer Inst. 2021;00:1–10. PubMed PMC

Wang T, Lv X, Jiang S, Han S, Wang Y. Expression of ADAM29 and FAM135B in the pathological evolution from normal esophageal epithelium to esophageal cancer: Their differences and clinical significance. Oncol Lett. 2020;19:1727–34. PubMed PMC

Wojcik GL, Graff M, Nishimura KK, Tao R, Haessler J, Gignoux CR, et al. Genetic analyses of diverse populations improves discovery for complex traits. Nature [Internet]. Springer US; 2019;570:514–8. Available from: 10.1038/s41586-019-1310-4 PubMed DOI PMC

Hou K, Ding Y, Xu Z, Wu Y, Bhattacharya A, Mester R, et al. Causal effects on complex traits are similar across segments of different continental ancestries within admixed individuals. MedRxiv. 2022; PubMed PMC

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