Edwin Iversen

Summary

Affiliation: Duke University Medical Center
Country: USA

Publications

  1. pmc Functional annotation signatures of disease susceptibility loci improve SNP association analysis
    Edwin S Iversen
    Department of Statistical Science, Duke University, Box 90251, 27708 0251 Durham, NC, USA
    BMC Genomics 15:398. 2014
  2. pmc A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1
    Edwin S Iversen
    Department of Statistical Science, Duke University, Durham, North Carolina 27708, USA
    Cancer Epidemiol Biomarkers Prev 20:1078-88. 2011
  3. ncbi request reprint Trinucleotide repeat polymorphisms in the androgen receptor gene and risk of ovarian cancer
    Joellen 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
  4. pmc A prospective study of weight gain after premenopausal hysterectomy
    Patricia 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
  5. pmc Microarray analysis of early stage serous ovarian cancers shows profiles predictive of favorable outcome
    Andrew 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
  6. pmc Single nucleotide polymorphisms in the TP53 region and susceptibility to invasive epithelial ovarian cancer
    Joellen 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
  7. pmc Hormonal risk factors for ovarian cancer in premenopausal and postmenopausal women
    Patricia 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
  8. pmc Evaluation of established breast cancer risk factors as modifiers of BRCA1 or BRCA2: a multi-center case-only analysis
    Patricia 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
  9. pmc Association between DNA damage response and repair genes and risk of invasive serous ovarian cancer
    Joellen M Schildkraut
    Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
    PLoS ONE 5:e10061. 2010
  10. ncbi request reprint Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays
    Andrew 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

Detail Information

Publications20

  1. pmc Functional annotation signatures of disease susceptibility loci improve SNP association analysis
    Edwin 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...
  2. pmc A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1
    Edwin 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...
  3. ncbi request reprint Trinucleotide repeat polymorphisms in the androgen receptor gene and risk of ovarian cancer
    Joellen 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...
  4. pmc A prospective study of weight gain after premenopausal hysterectomy
    Patricia 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...
  5. pmc Microarray analysis of early stage serous ovarian cancers shows profiles predictive of favorable outcome
    Andrew 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...
  6. pmc Single nucleotide polymorphisms in the TP53 region and susceptibility to invasive epithelial ovarian cancer
    Joellen 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...
  7. pmc Hormonal risk factors for ovarian cancer in premenopausal and postmenopausal women
    Patricia 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...
  8. pmc Evaluation of established breast cancer risk factors as modifiers of BRCA1 or BRCA2: a multi-center case-only analysis
    Patricia 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...
  9. pmc Association between DNA damage response and repair genes and risk of invasive serous ovarian cancer
    Joellen M Schildkraut
    Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
    PLoS ONE 5:e10061. 2010
    ....
  10. ncbi request reprint Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays
    Andrew 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...
  11. ncbi request reprint Gene expression profiling and genetic markers in glioblastoma survival
    Jeremy 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
    ....
  12. ncbi request reprint Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancers
    Andrew 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...
  13. ncbi request reprint Gene expression phenotypes of atherosclerosis
    David 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...
  14. ncbi request reprint Gene expression predictors of breast cancer outcomes
    Erich 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...
  15. pmc Association of single nucleotide polymorphisms in glycosylation genes with risk of epithelial ovarian cancer
    Thomas 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...
  16. pmc Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes
    Jennifer 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...
  17. pmc Validity of models for predicting BRCA1 and BRCA2 mutations
    Giovanni 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...
  18. ncbi request reprint Tagging single nucleotide polymorphisms in cell cycle control genes and susceptibility to invasive epithelial ovarian cancer
    Simon 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...
  19. pmc Characterization of BRCA1 and BRCA2 mutations in a large United States sample
    Sining 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...
  20. ncbi request reprint BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes
    Donald 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
    ....

Research Grants4