BACKGROUND: Two recent genome-wide association studies (GWAS) of pancreatic ductal adenocarcinoma (PDAC), conducted, respectively, in a Japanese and in a Chinese population, identified eight novel loci affecting PDAC risk. METHODS: We attempted to replicate the novel loci in a series of PDACs and healthy controls of European ancestry in the context of the newly formed PANcreatic Disease ReseArch (PANDoRA) consortium. We genotyped seven single-nucleotide polymorphisms (SNP): rs12413624, rs1547374, rs372883, rs5768709, rs6464375, rs708224, rs9502893 (one SNP identified in the Chinese GWAS is not polymorphic in Caucasians) in 1,299 PDAC cases and 2,884 controls. We also attempted stratified analysis considering the different stages of the disease and addressed the possible involvement of the selected SNPs on the survival of patients. RESULTS: None of the SNPs were significantly associated with PDAC risk if considering the overall population of the consortium. When stratifying for country of origin, we found that in the Polish subgroup, the G allele of rs372883 was statistically significantly associated with increased risk [OR, 6.40; 95% confidence interval (CI), 2.28-17.91]. However, the sample size of the subgroups was rather small; therefore, this result can be due to chance. None of the SNPs was associated with disease progression or survival. CONCLUSIONS: None of the SNPs associated with PDAC risk in two Asian populations were convincingly associated with PDAC risk in individuals of European descent. IMPACT: This study illustrates the importance of evaluation of PDAC risk markers across ethnic groups.
BACKGROUND: Two recent genome-wide association studies (GWAS) of pancreatic ductal adenocarcinoma (PDAC), conducted, respectively, in a Japanese and in a Chinese population, identified eight novel loci affecting PDAC risk. METHODS: We attempted to replicate the novel loci in a series of PDACs and healthy controls of European ancestry in the context of the newly formed PANcreatic Disease ReseArch (PANDoRA) consortium. We genotyped seven single-nucleotide polymorphisms (SNP): rs12413624, rs1547374, rs372883, rs5768709, rs6464375, rs708224, rs9502893 (one SNP identified in the Chinese GWAS is not polymorphic in Caucasians) in 1,299 PDAC cases and 2,884 controls. We also attempted stratified analysis considering the different stages of the disease and addressed the possible involvement of the selected SNPs on the survival of patients. RESULTS: None of the SNPs were significantly associated with PDAC risk if considering the overall population of the consortium. When stratifying for country of origin, we found that in the Polish subgroup, the G allele of rs372883 was statistically significantly associated with increased risk [OR, 6.40; 95% confidence interval (CI), 2.28-17.91]. However, the sample size of the subgroups was rather small; therefore, this result can be due to chance. None of the SNPs was associated with disease progression or survival. CONCLUSIONS: None of the SNPs associated with PDAC risk in two Asian populations were convincingly associated with PDAC risk in individuals of European descent. IMPACT: This study illustrates the importance of evaluation of PDAC risk markers across ethnic groups.
Authors: Anatoliy I Yashin; Ilya Zhbannikov; Liubov Arbeeva; Konstantin G Arbeev; Deqing Wu; Igor Akushevich; Arseniy Yashkin; Mikhail Kovtun; Alexander M Kulminski; Eric Stallard; Irina Kulminskaya; Svetlana Ukraintseva Journal: Front Genet Date: 2016-11-08 Impact factor: 4.599
Authors: Alison P Klein; Brian M Wolpin; Harvey A Risch; Rachael Z Stolzenberg-Solomon; Evelina Mocci; Mingfeng Zhang; Federico Canzian; Erica J Childs; Jason W Hoskins; Ashley Jermusyk; Jun Zhong; Fei Chen; Demetrius Albanes; Gabriella Andreotti; Alan A Arslan; Ana Babic; William R Bamlet; Laura Beane-Freeman; Sonja I Berndt; Amanda Blackford; Michael Borges; Ayelet Borgida; Paige M Bracci; Lauren Brais; Paul Brennan; Hermann Brenner; Bas Bueno-de-Mesquita; Julie Buring; Daniele Campa; Gabriele Capurso; Giulia Martina Cavestro; Kari G Chaffee; Charles C Chung; Sean Cleary; Michelle Cotterchio; Frederike Dijk; Eric J Duell; Lenka Foretova; Charles Fuchs; Niccola Funel; Steven Gallinger; J Michael M Gaziano; Maria Gazouli; Graham G Giles; Edward Giovannucci; Michael Goggins; Gary E Goodman; Phyllis J Goodman; Thilo Hackert; Christopher Haiman; Patricia Hartge; Manal Hasan; Peter Hegyi; Kathy J Helzlsouer; Joseph Herman; Ivana Holcatova; Elizabeth A Holly; Robert Hoover; Rayjean J Hung; Eric J Jacobs; Krzysztof Jamroziak; Vladimir Janout; Rudolf Kaaks; Kay-Tee Khaw; Eric A Klein; Manolis Kogevinas; Charles Kooperberg; Matthew H Kulke; Juozas Kupcinskas; Robert J Kurtz; Daniel Laheru; Stefano Landi; Rita T Lawlor; I-Min Lee; Loic LeMarchand; Lingeng Lu; Núria Malats; Andrea Mambrini; Satu Mannisto; Roger L Milne; Beatrice Mohelníková-Duchoňová; Rachel E Neale; John P Neoptolemos; Ann L Oberg; Sara H Olson; Irene Orlow; Claudio Pasquali; Alpa V Patel; Ulrike Peters; Raffaele Pezzilli; Miquel Porta; Francisco X Real; Nathaniel Rothman; Ghislaine Scelo; Howard D Sesso; Gianluca Severi; Xiao-Ou Shu; Debra Silverman; Jill P Smith; Pavel Soucek; Malin Sund; Renata Talar-Wojnarowska; Francesca Tavano; Mark D Thornquist; Geoffrey S Tobias; Stephen K Van Den Eeden; Yogesh Vashist; Kala Visvanathan; Pavel Vodicka; Jean Wactawski-Wende; Zhaoming Wang; Nicolas Wentzensen; Emily White; Herbert Yu; Kai Yu; Anne Zeleniuch-Jacquotte; Wei Zheng; Peter Kraft; Donghui Li; Stephen Chanock; Ofure Obazee; Gloria M Petersen; Laufey T Amundadottir Journal: Nat Commun Date: 2018-02-08 Impact factor: 14.919
Authors: David Bogumil; David V Conti; Xin Sheng; Lucy Xia; Xiao-Ou Shu; Stephen J Pandol; William J Blot; Wei Zheng; Loïc Le Marchand; Christopher A Haiman; Veronica Wendy Setiawan Journal: Cancer Epidemiol Biomarkers Prev Date: 2020-09-21 Impact factor: 4.254