Open Access. Powered by Scholars. Published by Universities.®
- Keyword
Articles 1 - 3 of 3
Full-Text Articles in Medical Genetics
Lung Cancer In Ever- And Never-Smokers: Findings From Multi-Population Gwas Studies, Yafang Li, Xiangjun Xiao, Jianrong Li, Younghun Han, Chao Cheng, Gail F. Fernandes, Shannon E. Slewitzke, Susan M. Rosenberg, Meng Zhu, Jinyoung Byun, Yohan Bossé, James D. Mckay, Demetrios Albanes, Stephan Lam, Adonina Tardon, Chu Chen, Stig E. Bojesen, Maria T. Landi, Mattias Johansson, Angela Risch, Heike Bickeböller, H-Erich Wichmann, David C. Christiani, Gad Rennert, Susanne M. Arnold, Gary E. Goodman, John K. Field, Diptasri Mandal, Et Al
Lung Cancer In Ever- And Never-Smokers: Findings From Multi-Population Gwas Studies, Yafang Li, Xiangjun Xiao, Jianrong Li, Younghun Han, Chao Cheng, Gail F. Fernandes, Shannon E. Slewitzke, Susan M. Rosenberg, Meng Zhu, Jinyoung Byun, Yohan Bossé, James D. Mckay, Demetrios Albanes, Stephan Lam, Adonina Tardon, Chu Chen, Stig E. Bojesen, Maria T. Landi, Mattias Johansson, Angela Risch, Heike Bickeböller, H-Erich Wichmann, David C. Christiani, Gad Rennert, Susanne M. Arnold, Gary E. Goodman, John K. Field, Diptasri Mandal, Et Al
School of Graduate Studies Faculty Publications
BACKGROUND: Clinical, molecular, and genetic epidemiology studies displayed remarkable differences between ever- and never-smoking lung cancer. METHODS: We conducted a stratified multi-population (European, East Asian, and African descent) association study on 44,823 ever-smokers and 20,074 never-smokers to identify novel variants that were missed in the non-stratified analysis. Functional analysis including eQTL colocalization and DNA damage assays, and annotation studies were conducted to evaluate the functional roles of the variants. We further evaluated the impact of smoking quantity on lung cancer risk for the variants associated with ever-smoking lung cancer. RESULTS: Five novel independent loci, GABRA4, inter-genic region 12q24.33, LRRC4C, LINC01088, …
31-Gene Expression Profile Testing In Cutaneous Melanoma And Survival Outcomes In A Population-Based Analysis: A Seer Collaboration, Christine N. Bailey, Brian J. Martin, Valentina I. Petkov, Nicola C. Schussler, Jennifer L. Stevens, Suzanne Bentler, Rosemary D. Cress, Jennifer A. Doherty, Eric B. Durbin, Scarlett L. Gomez, Lou Gonsalves, Brenda Y. Hernandez, Lihua Liu, Bozena M. Morawski, Maria J. Schymura, Stephen M. Schwartz, Kevin C. Ward, Charles Wiggins, Xiao-Cheng Wu, Matthew S. Goldberg, Jennifer J. Siegel, Robert W. Cook, Kyle R. Covington, Sarah J. Kurley
31-Gene Expression Profile Testing In Cutaneous Melanoma And Survival Outcomes In A Population-Based Analysis: A Seer Collaboration, Christine N. Bailey, Brian J. Martin, Valentina I. Petkov, Nicola C. Schussler, Jennifer L. Stevens, Suzanne Bentler, Rosemary D. Cress, Jennifer A. Doherty, Eric B. Durbin, Scarlett L. Gomez, Lou Gonsalves, Brenda Y. Hernandez, Lihua Liu, Bozena M. Morawski, Maria J. Schymura, Stephen M. Schwartz, Kevin C. Ward, Charles Wiggins, Xiao-Cheng Wu, Matthew S. Goldberg, Jennifer J. Siegel, Robert W. Cook, Kyle R. Covington, Sarah J. Kurley
School of Public Health Faculty Publications
PURPOSE: The DecisionDx-Melanoma 31-gene expression profile (31-GEP) test is validated to classify cutaneous malignant melanoma (CM) patient risk of recurrence, metastasis, or death as low (class 1A), intermediate (class 1B/2A), or high (class 2B). This study aimed to examine the effect of 31-GEP testing on survival outcomes and confirm the prognostic ability of the 31-GEP at the population level. METHODS: Patients with stage I-III CM with a clinical 31-GEP result between 2016 and 2018 were linked to data from 17 SEER registries (n = 4,687) following registries' operation procedures for linkages. Melanoma-specific survival (MSS) and overall survival (OS) differences by …
Intratumoral Translocation Positive Heterogeneity In Pediatric Alveolar Rhabdomyosarcoma Tumors Correlates To Patient Survival Prognosis, Katrina Gleditsch, Jorge Peñas, Danielle Mercer, Ayesha Umrigar, James Briscoe, Matthew Stark, Fern Tsien, Andrew D. Hollenbach
Intratumoral Translocation Positive Heterogeneity In Pediatric Alveolar Rhabdomyosarcoma Tumors Correlates To Patient Survival Prognosis, Katrina Gleditsch, Jorge Peñas, Danielle Mercer, Ayesha Umrigar, James Briscoe, Matthew Stark, Fern Tsien, Andrew D. Hollenbach
School of Medicine Faculty Publications
Alveolar rhabdomyosarcoma (ARMS) is characterized by one of three translocation states: t(2;13) (q35;q14) producing PAX3-FOXO1, t(1;13) (p36;q14) producing PAX7-FOXO1, or translocation-negative. Tumors with t(2;13) are associated with greater disease severity and mortality than t(1;13) positive or translocation negative patients. Consistent with this fact, previous work concluded that a molecular analysis of RMS translocation status is essential for the accurate determination of prognosis and diagnosis. However, despite this knowledge, most diagnoses rely on histology and in some cases utilize fluorescence in situ hybridization (FISH) probes unable to differentiate between translocation products. Along these same lines, diagnostic RT-PCR analysis, which can differentiate …