Ontology highlight
ABSTRACT:
SUBMITTER: Pearce CL
PROVIDER: S-EPMC2634713 | biostudies-literature | 2009 Jan
REPOSITORIES: biostudies-literature
Pearce C L CL Near A M AM Van Den Berg D J DJ Ramus S J SJ Gentry-Maharaj A A Menon U U Gayther S A SA Anderson A R AR Edlund C K CK Wu A H AH Chen X X Beesley J J Webb P M PM Holt S K SK Chen C C Doherty J A JA Rossing M A MA Whittemore A S AS McGuire V V DiCioccio R A RA Goodman M T MT Lurie G G Carney M E ME Wilkens L R LR Ness R B RB Moysich K B KB Edwards R R Jennison E E Kjaer S K SK Hogdall E E Hogdall C K CK Goode E L EL Sellers T A TA Vierkant R A RA Cunningham J M JM Schildkraut J M JM Berchuck A A Moorman P G PG Iversen E S ES Cramer D W DW Terry K L KL Vitonis A F AF Titus-Ernstoff L L Song H H Pharoah P D P PD Spurdle A B AB Anton-Culver H H Ziogas A A Brewster W W Galitovskiy V V Chenevix-Trench G G
British journal of cancer 20090106 2
The search for genetic variants associated with ovarian cancer risk has focused on pathways including sex steroid hormones, DNA repair, and cell cycle control. The Ovarian Cancer Association Consortium (OCAC) identified 10 single-nucleotide polymorphisms (SNPs) in genes in these pathways, which had been genotyped by Consortium members and a pooled analysis of these data was conducted. Three of the 10 SNPs showed evidence of an association with ovarian cancer at P< or =0.10 in a log-additive mode ...[more]