BACKGROUND AND AIMS: Epidemiological studies have investigated the association between STXBP4/COX11 rs6504950 (G>A) polymorphism and breast cancer susceptibility. However, the results are still controversial. Hence, we conducted a meta-analysis of the STXBP4/COX11 polymorphism and risk of breast cancer to obtain the most reliable estimate of the association. METHODS: PubMed, Embase and Web of Science databases were searched. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were extracted and pooled to assess the strength of the association between STXBP4/COX11 rs6504950 (G>A) polymorphism with breast cancer risk. RESULTS: A total of four eligible studies including 17,960 cases and 22,713 controls based on the search criteria were involved in this meta-analysis. The distributions of genotypes in the controls were all in agreement with Hardy-Weinberg equilibrium. We observed that STXBP4/COX11 rs6504950 polymorphism was significantly correlated with breast cancer risk when all studies were pooled into the meta-analysis (the allele contrast model: OR = 0.93, 95% CI = 0.87-0.99; the heterozygote codominant model: OR = 0.87, 95% CI = 0.83-0.90; the dominant model OR = 0.92, 95% CI = 0.88-0.96). CONCLUSION: This meta-analysis indicated that the rs6504950 AA/AG genotypes are associated with a significantly decreased risk of breast carcinogenesis.
BACKGROUND AND AIMS: Epidemiological studies have investigated the association between STXBP4/COX11rs6504950 (G>A) polymorphism and breast cancer susceptibility. However, the results are still controversial. Hence, we conducted a meta-analysis of the STXBP4/COX11 polymorphism and risk of breast cancer to obtain the most reliable estimate of the association. METHODS: PubMed, Embase and Web of Science databases were searched. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were extracted and pooled to assess the strength of the association between STXBP4/COX11rs6504950 (G>A) polymorphism with breast cancer risk. RESULTS: A total of four eligible studies including 17,960 cases and 22,713 controls based on the search criteria were involved in this meta-analysis. The distributions of genotypes in the controls were all in agreement with Hardy-Weinberg equilibrium. We observed that STXBP4/COX11rs6504950 polymorphism was significantly correlated with breast cancer risk when all studies were pooled into the meta-analysis (the allele contrast model: OR = 0.93, 95% CI = 0.87-0.99; the heterozygote codominant model: OR = 0.87, 95% CI = 0.83-0.90; the dominant model OR = 0.92, 95% CI = 0.88-0.96). CONCLUSION: This meta-analysis indicated that the rs6504950 AA/AG genotypes are associated with a significantly decreased risk of breast carcinogenesis.
Authors: Lucas A Salas; Mariona Bustamante; Juan R Gonzalez; Esther Gracia-Lavedan; Victor Moreno; Manolis Kogevinas; Cristina M Villanueva Journal: Epigenetics Date: 2015 Impact factor: 4.528
Authors: Hatef Darabi; Jonathan Beesley; Arnaud Droit; Siddhartha Kar; Silje Nord; Mahdi Moradi Marjaneh; Penny Soucy; Kyriaki Michailidou; Maya Ghoussaini; Hanna Fues Wahl; Manjeet K Bolla; Qin Wang; Joe Dennis; M Rosario Alonso; Irene L Andrulis; Hoda Anton-Culver; Volker Arndt; Matthias W Beckmann; Javier Benitez; Natalia V Bogdanova; Stig E Bojesen; Hiltrud Brauch; Hermann Brenner; Annegien Broeks; Thomas Brüning; Barbara Burwinkel; Jenny Chang-Claude; Ji-Yeob Choi; Don M Conroy; Fergus J Couch; Angela Cox; Simon S Cross; Kamila Czene; Peter Devilee; Thilo Dörk; Douglas F Easton; Peter A Fasching; Jonine Figueroa; Olivia Fletcher; Henrik Flyger; Eva Galle; Montserrat García-Closas; Graham G Giles; Mark S Goldberg; Anna González-Neira; Pascal Guénel; Christopher A Haiman; Emily Hallberg; Ute Hamann; Mikael Hartman; Antoinette Hollestelle; John L Hopper; Hidemi Ito; Anna Jakubowska; Nichola Johnson; Daehee Kang; Sofia Khan; Veli-Matti Kosma; Mieke Kriege; Vessela Kristensen; Diether Lambrechts; Loic Le Marchand; Soo Chin Lee; Annika Lindblom; Artitaya Lophatananon; Jan Lubinski; Arto Mannermaa; Siranoush Manoukian; Sara Margolin; Keitaro Matsuo; Rebecca Mayes; James McKay; Alfons Meindl; Roger L Milne; Kenneth Muir; Susan L Neuhausen; Heli Nevanlinna; Curtis Olswold; Nick Orr; Paolo Peterlongo; Guillermo Pita; Katri Pylkäs; Anja Rudolph; Suleeporn Sangrajrang; Elinor J Sawyer; Marjanka K Schmidt; Rita K Schmutzler; Caroline Seynaeve; Mitul Shah; Chen-Yang Shen; Xiao-Ou Shu; Melissa C Southey; Daniel O Stram; Harald Surowy; Anthony Swerdlow; Soo H Teo; Daniel C Tessier; Ian Tomlinson; Diana Torres; Thérèse Truong; Celine M Vachon; Daniel Vincent; Robert Winqvist; Anna H Wu; Pei-Ei Wu; Cheng Har Yip; Wei Zheng; Paul D P Pharoah; Per Hall; Stacey L Edwards; Jacques Simard; Juliet D French; Georgia Chenevix-Trench; Alison M Dunning Journal: Sci Rep Date: 2016-09-07 Impact factor: 4.379