Citations 3
Molecular and Structural Traits of Insulin Receptor Substrate 1/LC3 Nuclear Structures and Their Role in Autophagy Control and Tumor Cell Survival
Lassak, Adam, Dean, Mathew, Wilk, Anna , Marrero, Luis , Trillo-Tinoco, Jimena , Boulares, A. Hamid , Valle, Luis Del , Reiss, Krzysztof , Wyczechowska, Dorota Danuta , Sarkaria, Jann N. , Peruzzi, Francesca , Ochoa, Augusto C.
Molecular and Cellular Biology | February 27, 2018 | Volume: 38 | Issue: 10 | Pages: No page available
SNP interaction pattern identifier (SIPI): an intensive search for SNP–SNP interaction patterns
Lin, Hui‐Yi , Chen, Dung‐Tsa, Huang, Po-Yu, Liu, Yung-Hsin, Zabaleta, Jovanny , Mercante, Donald E., Fang, Zhide , Sellers, Thomas A. , Pow‐Sang, Julio M. , Cheng, Chia‐Ho, Eeles, Rosalind A. , Easton, Doug , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Grönberg, Henrik , Haiman, Christopher A. , Schleutker, Johanna , Nordestgaard, Børge G. , Travis, Ruth C. , Hamdy, Freddie C. , Pashayan, Nora , Stanford, Janet L. , Blot, William J. , Thibodeau, Stephen N. , Maier, Christiane, Kibel, Adam S. , Brenner, Hermann , Kaneva, Radka , Batra, Jyotsna , Teixeira, Manuel R. , Pandha, Hardev, Lu, Yong‐Jie , Ochoa, Augusto C. , Kote‐Jarai, Zsofia , Giles, Graham G. , Wiklund, Fredrik E. , Khaw, Kay‐Tee , Cybulski, Cezary , Cannon‐Albright, Lisa , Park, Jong Y. , Teixeira, Manuel R , Eeles, Rosalind A , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Lin, Hui-Yi , Brenner, Hermann , Batra, Jyotsna , Zabaleta, Jovanny
Bioinformatics | November 29, 2016 | Volume: 33 | Issue: 6 | Pages: 822-833
Abstract Motivation Testing SNP–SNP interactions is considered as a key for overcoming bottlenecks of genetic association studies. However, related statistical methods for testing SNP–SNP interactions are underdeveloped. Results We propose the SNP Interaction Pattern Identifier (SIPI), which tests 45 biologically meaningful interaction patterns for a binary outcome. SIPI takes non-hierarchical models, inheritance modes and mode coding direction into consideration. The simulation results show that SIPI has higher power than MDR (Multifactor Dimensionality Reduction), AA_Full, Geno_Full (full interaction model with additive or genotypic mode) and SNPassoc in detecting interactions. Applying SIPI to the prostate cancer PRACTICAL consortium data with approximately 21 000 patients, the four SNP pairs in EGFR-EGFR, EGFR-MMP16 and EGFR-CSF1 were found to be associated with prostate cancer aggressiveness with the exact or similar pattern in the discovery and validation sets. A similar match for external validation of SNP–SNP interaction studies is suggested. We demonstrated that SIPI not only searches for more meaningful interaction patterns but can also overcome the unstable nature of interaction patterns. Availability and Implementation The SIPI software is freely available at http://publichealth.lsuhsc.edu/LinSoftware/. Supplementary information Supplementary data are available at Bioinformatics online.
Innovations and Challenges in Renal Cell Carcinoma: Summary Statement from the Second Cambridge Conference
Figlin, Robert A. , George, Daniel J. , Kaelin, William G. , Kwon, Eugene D., Libermann, Towia A. , Pantuck, Allan J., Rosen, Mark, Sosman, Jeffrey A. , Sukhatme, Vikas P. , Vieweg, Johannes, Wood, Christopher G. , Atkins, Michael B. , Ernstoff, Marc S. , Flaherty, Keith T. , Linehan, William Marston , McDermott, David F. , Ochoa, Augusto C. , Rini, Brian I. , King, Laura
Clinical Cancer Research | January 25, 2007 | Volume: 13 | Issue: 2 | Pages: 667s-670s
Abstract Innovations and Challenges in Renal Cancer, chaired by Michael B. Atkins, was held April 28 to 29, 2006 in Cambridge, Massachusetts. The conference brought together leading experts in the fields of cancer research, medical oncology, urology, immunology, radiology, and immunotherapy, with the goal of advancing the field of renal cancer treatment by critiquing new data from ongoing clinical trials and stimulating communication among those involved in basic and clinical research. The conference proceedings published in this educational supplement to Clinical Cancer Research are intended to provide timely information and recommendations on important aspects of renal cancer genetics and biology and advances in prognostic classification and treatment.