{"id":4060,"date":"2023-03-09T16:24:36","date_gmt":"2023-03-09T09:24:36","guid":{"rendered":"https:\/\/research.binus.ac.id\/bdsrc\/?p=4060"},"modified":"2023-03-09T16:25:21","modified_gmt":"2023-03-09T09:25:21","slug":"beyond-gwas-of-colorectal-cancer-evidence-of-interaction-with-alcohol-consumption-and-putative-causal-variant-for-the-10q24-2-region","status":"publish","type":"post","link":"https:\/\/research.binus.ac.id\/bdsrc\/2023\/03\/09\/beyond-gwas-of-colorectal-cancer-evidence-of-interaction-with-alcohol-consumption-and-putative-causal-variant-for-the-10q24-2-region\/","title":{"rendered":"Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region"},"content":{"rendered":"<p style=\"text-align: justify\">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 (\u22641 g\/day) and heavy drinkers (&gt;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 &gt; 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.<\/p>\n<p style=\"text-align: justify\">Cancer Epidemiology Biomarkers &amp; Prevention<\/p>\n<p style=\"text-align: justify\"><strong>Kristina M Jordahl, Anna Shcherbina, Andre E Kim, Yu-Ru Su, Yi Lin, Jun Wang, Conghui Qu, Demetrius Albanes, Volker Arndt, James W Baurley, Sonja I Berndt, Stephanie Bien (Rosse), D Timothy Bishop, Emmanouil Bouras, Hermann Brenner, Daniel D Buchanan, Arif Budiarto, Peter T Campbell, Robert Carreras-Torres, Graham Casey, Tjeng Wawan Cenggoro, Andrew T Chan, David V Conti, Christopher H Dampier, Matthew A Devall, Virginia D\u00edez-Obrero, Niki Dimou, David A Drew, Jane C Figueiredo, Steven Gallinger, Graham G Giles, Stephen B Gruber, Andrea Gsur, Marc J Gunter, Heather Hampel, Sophia Harlid, Tabitha A Harrison, Akihisa Hidaka, Michael Hoffmeister, Jeroen Huyghe, Mark Jenkins, Amit D Joshi, Temitope O Keku, Susanna C Larsson, Loic Le Marchand, Juan Pablo Lewinger, Li Li, Bharuno Mahesworo, Victor Moreno, John L Morrison, Neil Murphy, Hongmei Nan, Rami Nassir, Polly A Newcomb, Mireia Ob\u00f3n-Santacana, Shuji Ogino, Jennifer Ose, Rish K Pai, Julie R Palmer, Nikos Papadimitriou, Bens Pardamean, Anita Peoples, Paul D P Pharoah, Elizabeth A Platz, John D Potter, Ross L Prentice, Gad Rennert, Edward Ruiz-Narv\u00e1ez, Lori C Sakoda, Peter Scacheri, Stephanie L Schmit, Robert E Schoen, Martha Slattery, Mariana C. Stern, Catherine M Tangen, Stephen N Thibodeau, Duncan C Thomas, Yu Tian, Kostas Tsilidis, Cornelia M Ulrich, Franzel J B van Duijnhoven, Bethany Van Guelpen, Kala Visvanathan, Pavel Vodicka, Emily White, Alicja Wolk, Michael O Woods, Anna H Wu, Natalia Zemlianskaia, Jenny Chang-Claude, W James Gauderman, Li Hsu, Anshul Kundaje, Ulrike Peters<\/strong><\/p>\n<p style=\"text-align: justify\"><a href=\"https:\/\/www.researchgate.net\/publication\/360073600_Beyond_GWAS_of_Colorectal_Cancer_Evidence_of_Interaction_with_Alcohol_Consumption_and_Putative_Causal_Variant_for_the_10q242_Region\">Read Full Paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":4061,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-4060","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/4060","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/comments?post=4060"}],"version-history":[{"count":2,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/4060\/revisions"}],"predecessor-version":[{"id":4063,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/posts\/4060\/revisions\/4063"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media\/4061"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/media?parent=4060"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/categories?post=4060"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/bdsrc\/wp-json\/wp\/v2\/tags?post=4060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}