TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer

Rainer Fagerholm, Sofia Khan, Marjanka K. Schmidt, Montserrat García-Closas, Päivi Heikkilä, Jani Saarela, Jonathan Beesley, Maral Jamshidi, Kristiina Aittomäki, Jianjun Liu, H. Raza Ali, Irene L. Andrulis, Matthias W. Beckmann, Sabine Behrens, Fiona M. Blows, Hermann Brenner, Jenny Chang-Claude, Fergus J. Couch, Kamila Czene, Peter A. FaschingJonine Figueroa, Giuseppe Floris, Gord Glendon, Qi Guo, Per Hll, Emily Hallberg, Ute Hamann, Bernd Holleczek, Maartje J. Hooning, John L. Hopper, Agnes Jager, Maria Kabisch, Renske Keeman, Veli Matti Kosma, Diether Lambrechts, Annika Lindblom, Arto Mannermaa, Sara Margolin, Elena Provenzano, Mitul Shah, Melissa C. Southey, Joe Dennis, Michael Lush, Kyriaki Michailidou, Qin Wang, Manjeet K. Bolla, Alison M. Dunning, Douglas F. Easton, Paul D.P. Pharoah, Georgia Chenevix-Trench, Carl Blomqvist, Heli Nevanlinna

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Fingerprint

Dive into the research topics of 'TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer'. Together they form a unique fingerprint.

Medicine & Life Sciences