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Evidence for SMAD3 as a modifier of breast cancer risk in BRCA2 mutation carriers

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Title: Evidence for SMAD3 as a modifier of breast cancer risk in BRCA2 mutation carriers
Authors: Walker, Logan C
Fredericksen, Zachary S
Wang, Xianshu
Tarrell, Robert
Pankratz, Vernon S
Lindor, Noralane M
Beesley, Jonathan
Healey, Sue
Chen, Xiaoqing
kConFab, The
Stoppa-Lyonnet, Dominique
Tirapo, Carole
Giraud, Sophie
Mazoyer, Sylvie
Muller, Daniele
Fricker, Jean-Pierre
Delnatte, Capucine
GEMO Study Collaborators, The
Schmutzler, Rita K
Wappenschmidt, Barbara
Engel, Christoph
Schonbuchner, Ines
Deissler, Helmut
Meindl, Alfons
Hogervorst, Frans B
Verheus, Martijn
Hooning, Maartje J
van den Ouweland, Ans MW
Nelen, Marcel R
Ausems, Margreet GEM
Aalfs, Cora M
van Asperen, Christi J
Devilee, Peter
Gerrits, Monique M
Waisfisz, Quinten
Hebon, The
Szabo, Csilla I
ModSQuaD, The
Easton, Douglas F
Peock, Susan
Cook, Margaret
Oliver, Clare T
Frost, Debra
Harrington, Patricia
Lalloo, Fiona
Eeles, Ros
Izatt, Louise
Chu, Carol
Davidson, Rosemarie
Eccles, Diana
Ong, Kai-Ren
Cook, Jackie
Embrace, The
Rebbeck, Tim
Nathanson, Katherine L
Domchek, Susan M
Singer, Christian F
Gschwantler-Kaulich, Daphne
Dressler, Anne-Catharina
Pfeiler, Georg
Godwin, Andrew K
Heikkinen, Tuomas
Nevanlinna, Heli
Agnarsson, Bjarni A
Caligo, Maria Adelaide
Olsson, Hakan
Kristoffersson, Ulf
Liljegren, Annelie
Arver, Brita
Karlsson, Per
Melin, Beatrice
Swe-brca, The
Sinilnikova, Olga M
McGuffog, Lesley
Antoniou, Antonis C
Chenevix-Trench, Georgia
Spurdle, Amanda B
Couch, Fergus J
Issue Date: 29-Nov-2010
Publication type: article, peer reviewed scientific
Organization: Department of Oncology, Sahlgrenska University Hospital, Göteborg
Citation: Breast Cancer Research. 2010 Nov 29;12(6):R102
Abstract: Abstract Introduction Current attempts to identify genetic modifiers of BRCA1 and BRCA2 associated risk have focused on a candidate gene approach, based on knowledge of gene functions, or the development of large genome-wide association studies. In this study, we evaluated 24 SNPs tagged to 14 candidate genes derived through a novel approach that analysed gene expression differences to prioritise candidate modifier genes for association studies. Methods We successfully genotyped 24 SNPs in a coh... more
Description: © 2010 Walker et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Articles / Artiklar Institutionen för kliniska vetenskaper



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