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Title: Polymorphism in the GALNT1 gene and epithelial ovarian cancer in non-Hispanic white women: the Ovarian Cancer Association Consortium.
Authors: Phelan CM,  Tsai YY,  Goode EL,  Vierkant RA,  Fridley BL,  Beesley J,  Chen XQ,  Webb PM,  Chanock S,  Cramer DW,  Moysich K,  Edwards RP,  Chang-Claude J,  Garcia-Closas M,  Yang H,  Wang-Gohrke S,  Hein R,  Green AC,  Lissowska J,  Carney ME,  Lurie G,  Wilkens LR,  Ness RB,  Pearce CL,  Wu AH,  Van Den Berg DJ,  Stram DO,  Terry KL,  Whiteman DC,  Whittemore AS,  DiCioccio RA,  McGuire V,  Doherty JA,  Rossing MA,  Anton-Culver H,  Ziogas A,  Hogdall C,  Hogdall E,  Krüger Kjaer S,  Blaakaer J,  Quaye L,  Ramus SJ,  Jacobs I,  Song H,  Pharoah PD,  Iversen ES,  Marks JR,  Pike MC,  Gayther SA,  Cunningham JM,  Goodman MT,  Schildkraut JM,  Chenevix-Trench G,  Berchuck A,  Sellers TA,  Ovarian Cancer Association Consortium, Australian Cancer Study (Ovarian Cancer),  Australian Ovarian Cancer Study Group
Journal: Cancer Epidemiol Biomarkers Prev
Date: 2010 Feb
Branches: HREB, OD
PubMed ID: 20142253
PMC ID: PMC2880167
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.