Affiliation: Duke University Medical Center
- Population-Calibrated Gene Characterization: Estimating Age at Onset Distributions Associated With Cancer GenesEdwin S Iversen
Edwin S Iversen, Jr is Research Assistant Professor, Department of Biostatistics and Bioinformatics and Institute of Statistics and Decision Sciences, Duke University, Durham, NC 27708 E mail Sining Chen is Postdoctoral Fellow, Oncology Biostatistics, Johns Hopkins University, Baltimore, MD 21205 E mail
J Am Stat Assoc 100:399-409. 2005..The Bayesian analysis that we use incorporates a modified segregation model and prior data on penetrance derived from the literature. Markov chain Monte Carlo methods are used for inference...
- Functional annotation signatures of disease susceptibility loci improve SNP association analysisEdwin S Iversen
Department of Statistical Science, Duke University, Box 90251, 27708 0251 Durham, NC, USA
BMC Genomics 15:398. 2014..Here, we demonstrate how these data can be systematically integrated into an association study's analysis plan...
- A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1Edwin S Iversen
Department of Statistical Science, Duke University, Durham, North Carolina 27708, USA
Cancer Epidemiol Biomarkers Prev 20:1078-88. 2011..In cases such as the breast and ovarian cancer syndrome in which prophylactic options can be severe and life changing, having information on the disease relevance of the VUS that a patient harbors can be critical...
- Trinucleotide repeat polymorphisms in the androgen receptor gene and risk of ovarian cancerJoellen M Schildkraut
Department of Community and Family Medicine, Duke University Medical Center, Box 2949, Durham, NC 27710, USA
Cancer Epidemiol Biomarkers Prev 16:473-80. 2007..Two trinucleotide repeat polymorphisms have been described in exon 1 of the androgen receptor (AR) gene that may affect its function. Previous studies of ovarian cancer and AR repeat polymorphisms have been inconsistent...
- Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarraysAndrew Berchuck
Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC 27710, USA
Am J Obstet Gynecol 190:910-25. 2004..The purpose of this study was to define gene expression patterns that are associated with the optimal versus suboptimal debulking of advanced-stage serous ovarian cancers...
- Gene expression phenotypes of atherosclerosisDavid Seo
Division of Cardiology, Department of Medicine, Duke University, Durham, NC, USA
Arterioscler Thromb Vasc Biol 24:1922-7. 2004..To that end, our group has developed a nonbiased approach congruent with the multigenic concept of complex diseases by identifying gene expression patterns highly associated with disease states in human target tissues...
- Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancersAndrew Berchuck
Department of Obstetrics and Gynecology Division of Gynecologic Oncology, Institute of Statistics and Decision Sciences, Center for Applied Genomics and Technology, Duke University Medical Center, Durham, North Carolina, USA
Clin Cancer Res 11:3686-96. 2005..The objective of this study was to define gene expression patterns associated with favorable survival...
- Gene expression profiling and genetic markers in glioblastoma survivalJeremy N Rich
Department of Medicine, W M Keck Center for Neuro Oncogenomics, Institute of Statistics and Decision Sciences, Duke University Medical Center, Durham, North Carolina 27710, USA
Cancer Res 65:4051-8. 2005....
- Association between DNA damage response and repair genes and risk of invasive serous ovarian cancerJoellen M Schildkraut
Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
PLoS ONE 5:e10061. 2010....
- Evaluation of established breast cancer risk factors as modifiers of BRCA1 or BRCA2: a multi-center case-only analysisPatricia G Moorman
Cancer Prevention Detection and Control Research Program, Department of Community and Family Medicine, Duke University Medical Center, Durham, NC 27705, USA
Breast Cancer Res Treat 124:441-51. 2010..However, our results should be interpreted cautiously given the overall inconsistency in the epidemiologic literature on modifiers of BRCA1 and BRCA2...
- A prospective study of weight gain after premenopausal hysterectomyPatricia G Moorman
Department of Community and Family Medicine, Box 2949, Duke University Medical Center, 2424 Ervin Road, Suite 602, Durham, NC 27705, USA
J Womens Health (Larchmt) 18:699-708. 2009..The purpose of this analysis was to assess weight gain in premenopausal women in the first year after hysterectomy compared with a control group of women with intact uteri and ovaries...
- Microarray analysis of early stage serous ovarian cancers shows profiles predictive of favorable outcomeAndrew Berchuck
Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, North Carolina 27710, USA
Clin Cancer Res 15:2448-55. 2009..In the present study, we report on gene expression of early-stage cancers and validate our prognostic model for advanced-stage cancers...
- Hormonal risk factors for ovarian cancer in premenopausal and postmenopausal womenPatricia G Moorman
Department of Community and Family Medicine, Cancer Prevention, Detection and Control Research Program, Duke University Medical Center, Durham, NC 27705, USA
Am J Epidemiol 167:1059-69. 2008..Findings suggest that associations between ovarian cancer and reproductive characteristics vary by menopausal status. Additional research is needed to further elucidate risk factors for postmenopausal disease...
- Single nucleotide polymorphisms in the TP53 region and susceptibility to invasive epithelial ovarian cancerJoellen M Schildkraut
Comprehensive Cancer Center, Department of Community and Family Medicine, Duke University Medical Center, and Department of Statistical Science, Duke University, Durham, North Carolina, USA
Cancer Res 69:2349-57. 2009..This large study provides statistical evidence for a small increase in risk of ovarian cancer associated with common variants in the TP53 region...
- Gene expression predictors of breast cancer outcomesErich Huang
Koo Foundation Sun Yat Sen Cancer Centre, Taipei, Taiwan
Lancet 361:1590-6. 2003..We aimed to predict nodal metastatic states and relapse for breast cancer patients...
- Association of single nucleotide polymorphisms in glycosylation genes with risk of epithelial ovarian cancerThomas A Sellers
Division of Cancer Prevention and Control, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
Cancer Epidemiol Biomarkers Prev 17:397-404. 2008..10 frequency; odds ratio, 0.07; P = 0.01) compared with the most common haplotype (0.39 frequency). These results suggest that genetic polymorphisms in the glycoslyation process may be novel risk factors for ovarian cancer...
- Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomesJennifer Pittman
Institute of Statistics and Decision Sciences, Institute for Genome Sciences and Policy, Duke University, Durham, NC 27708, USA
Proc Natl Acad Sci U S A 101:8431-6. 2004..This framework will extend to incorporate any form of data, including emerging forms of genomic data, and provides a platform for development of models for personalized prognosis...
- Validity of models for predicting BRCA1 and BRCA2 mutationsGiovanni Parmigiani
The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland 21205 2011, USA
Ann Intern Med 147:441-50. 2007..At least 7 models for estimating the probabilities of having a mutation are used widely in clinical and scientific activities; however, the merits and limitations of these models are not fully understood...
- Tagging single nucleotide polymorphisms in cell cycle control genes and susceptibility to invasive epithelial ovarian cancerSimon A Gayther
Translational Research Laboratories, University College London, London, United Kingdom
Cancer Res 67:3027-35. 2007..This study highlights the need for multicenter collaborations for genetic association studies...
- Characterization of BRCA1 and BRCA2 mutations in a large United States sampleSining Chen
Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
J Clin Oncol 24:863-71. 2006..Existing studies have focused on Ashkenazi Jews (AJ) or on families from outside the United States. In this article, we consider the US population using the largest US-based cohort to date of both AJ and non-AJ families...
- BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genesDonald A Berry
Department of Biostatistics, University of Texas M D Anderson Cancer Center, Houston, TX 77030 4009, USA
J Clin Oncol 20:2701-12. 2002....
- Bayesian Modeling and Optimal Design for Studies of Gene-Environment AssociationEdwin Iversen; Fiscal Year: 2009..End of Abstract) ..