Ontology highlight
ABSTRACT:
SUBMITTER: Ramus SJ
PROVIDER: S-EPMC4643629 | biostudies-literature | 2015 Nov
REPOSITORIES: biostudies-literature
Ramus Susan J SJ Song Honglin H Dicks Ed E Tyrer Jonathan P JP Rosenthal Adam N AN Intermaggio Maria P MP Fraser Lindsay L Gentry-Maharaj Aleksandra A Hayward Jane J Philpott Susan S Anderson Christopher C Edlund Christopher K CK Conti David D Harrington Patricia P Barrowdale Daniel D Bowtell David D DD Alsop Kathryn K Mitchell Gillian G Cicek Mine S MS Cunningham Julie M JM Fridley Brooke L BL Alsop Jennifer J Jimenez-Linan Mercedes M Poblete Samantha S Lele Shashi S Sucheston-Campbell Lara L Moysich Kirsten B KB Sieh Weiva W McGuire Valerie V Lester Jenny J Bogdanova Natalia N Dürst Matthias M Hillemanns Peter P Odunsi Kunle K Whittemore Alice S AS Karlan Beth Y BY Dörk Thilo T Goode Ellen L EL Menon Usha U Jacobs Ian J IJ Antoniou Antonis C AC Pharoah Paul D P PD Gayther Simon A SA
Journal of the National Cancer Institute 20150827 11
<h4>Background</h4>Epithelial ovarian cancer (EOC) is the most lethal gynecological malignancy, responsible for 13 000 deaths per year in the United States. Risk prediction based on identifying germline mutations in ovarian cancer susceptibility genes could have a clinically significant impact on reducing disease mortality.<h4>Methods</h4>Next generation sequencing was used to identify germline mutations in the coding regions of four candidate susceptibility genes-BRIP1, BARD1, PALB2 and NBN-in ...[more]