| Literature DB >> 20142253 |
Catherine M Phelan1, Ya-Yu Tsai, Ellen L Goode, Robert A Vierkant, Brooke L Fridley, Jonathan Beesley, Xiao Qing Chen, Penelope M Webb, Stephen Chanock, Daniel W Cramer, Kirsten Moysich, Robert P Edwards, Jenny Chang-Claude, Montserrat Garcia-Closas, Hannah Yang, Shan Wang-Gohrke, Rebecca Hein, Adele C Green, Jolanta Lissowska, Michael E Carney, Galina Lurie, Lynne R Wilkens, Roberta B Ness, Celeste Leigh Pearce, Anna H Wu, David J Van Den Berg, Daniel O Stram, Kathryn L Terry, David C Whiteman, Alice S Whittemore, Richard A DiCioccio, Valerie McGuire, Jennifer A Doherty, Mary Anne Rossing, Hoda Anton-Culver, Argyrios Ziogas, Claus Hogdall, Estrid Hogdall, Susanne Krüger Kjaer, Jan Blaakaer, Lydia Quaye, Susan J Ramus, Ian Jacobs, Honglin Song, Paul D P Pharoah, Edwin S Iversen, Jeffrey R Marks, Malcolm C Pike, Simon A Gayther, Julie M Cunningham, Marc T Goodman, Joellen M Schildkraut, Georgia Chenevix-Trench, Andrew Berchuck, Thomas A Sellers.
Abstract
Aberrant glycosylation is a well-described hallmark of cancer. In a previous ovarian cancer case control study that examined polymorphisms in 26 glycosylation-associated genes, we found strong statistical evidence (P = 0.00017) that women who inherited two copies of a single-nucleotide polymorphism in the UDP-N-acetylgalactosamine:polypeptide N-acetylgalactosaminyltransferase, GALNT1, had decreased ovarian cancer risk. The current study attempted to replicate this observation. The GALNT1 single-nucleotide polymorphism rs17647532 was genotyped in 6,965 cases and 8,377 controls from 14 studies forming the Ovarian Cancer Association Consortium. The fixed effects estimate per rs17647532 allele was null (odds ratio, 0.99; 95% confidence interval, 0.92-1.07). When a recessive model was fit, the results were unchanged. Test for heterogeneity of the odds ratios revealed consistency across the 14 replication sites but significant differences compared with the original study population (P = 0.03). This study underscores the need for replication of putative findings in genetic association studies.Entities:
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Year: 2010 PMID： 20142253 PMCID： PMC2880167 DOI： 10.1158/1055-9965.EPI-09-0861
Source DB: PubMed Journal: Cancer Epidemiol Biomarkers Prev ISSN： 1055-9965 Impact factor: 4.254