Sining Chen

Summary

Affiliation: Johns Hopkins Bloomberg School of Public Health
Country: USA

Publications

  1. 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
  2. pmc Prediction of germline mutations and cancer risk in the Lynch syndrome
    Sining Chen
    Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    JAMA 296:1479-87. 2006
  3. pmc Meta-analysis of BRCA1 and BRCA2 penetrance
    Sining Chen
    Departments of Environmental Health Sciences and Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
    J Clin Oncol 25:1329-33. 2007
  4. pmc Adaptive control of the false discovery rate in voxel-based morphometry
    Sining Chen
    Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
    Hum Brain Mapp 30:2304-11. 2009
  5. 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
  6. pmc Are brain volumes based on magnetic resonance imaging mediators of the associations of cumulative lead dose with cognitive function?
    Brian Caffo
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Am J Epidemiol 167:429-37. 2008
  7. pmc Accuracy of MSI testing in predicting germline mutations of MSH2 and MLH1: a case study in Bayesian meta-analysis of diagnostic tests without a gold standard
    Sining Chen
    Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21205, USA
    Biostatistics 6:450-64. 2005
  8. pmc PancPRO: risk assessment for individuals with a family history of pancreatic cancer
    Wenyi Wang
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
    J Clin Oncol 25:1417-22. 2007
  9. doi request reprint TRAB: testing whether mutation frequencies are above an unknown background
    Giovanni Parmigiani
    Johns Hopkins University, USA
    Stat Appl Genet Mol Biol 7:Article11. 2008
  10. pmc Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations
    Hannah Carter
    Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland 21218, USA
    Cancer Res 69:6660-7. 2009

Detail Information

Publications16

  1. 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...
  2. pmc Prediction of germline mutations and cancer risk in the Lynch syndrome
    Sining Chen
    Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    JAMA 296:1479-87. 2006
    ..Current clinical guidelines are effective but limited by applicability and cost...
  3. pmc Meta-analysis of BRCA1 and BRCA2 penetrance
    Sining Chen
    Departments of Environmental Health Sciences and Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
    J Clin Oncol 25:1329-33. 2007
    ..Such penetrance has been investigated by studies worldwide. The reported estimates vary. To facilitate clinical management and counseling of the at-risk population, we address this issue through a meta-analysis...
  4. pmc Adaptive control of the false discovery rate in voxel-based morphometry
    Sining Chen
    Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
    Hum Brain Mapp 30:2304-11. 2009
    ..We demonstrate mathematically, with simulations, and with a data example that these procedures provide improved performance over the B-H procedure...
  5. 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...
  6. pmc Are brain volumes based on magnetic resonance imaging mediators of the associations of cumulative lead dose with cognitive function?
    Brian Caffo
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Am J Epidemiol 167:429-37. 2008
    ..The approach to evaluating volumetric mediation may have general applicability in epidemiologic neuroimaging settings...
  7. pmc Accuracy of MSI testing in predicting germline mutations of MSH2 and MLH1: a case study in Bayesian meta-analysis of diagnostic tests without a gold standard
    Sining Chen
    Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21205, USA
    Biostatistics 6:450-64. 2005
    ..We address these challenges in the context of a Bayesian meta-analytic implementation of the Hui-Walter design, tailored to account for various forms of incomplete data. Posterior inference is handled via a Gibbs sampler...
  8. pmc PancPRO: risk assessment for individuals with a family history of pancreatic cancer
    Wenyi Wang
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD, USA
    J Clin Oncol 25:1417-22. 2007
    ..The goal of this study was to develop and validate PancPRO, a Mendelian model for pancreatic cancer risk prediction in individuals with familial pancreatic cancer, to identify high-risk individuals...
  9. doi request reprint TRAB: testing whether mutation frequencies are above an unknown background
    Giovanni Parmigiani
    Johns Hopkins University, USA
    Stat Appl Genet Mol Biol 7:Article11. 2008
    ..Mutation frequencies in the control group are themselves allowed to be variable. TRAB computes the a posteriori probability and the Bayes factor for the hypothesis using a hierarchical Bayesian approach...
  10. pmc Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations
    Hannah Carter
    Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland 21218, USA
    Cancer Res 69:6660-7. 2009
    ..Based on a model that assumed the glioblastoma multiforme mutations are a mixture of drivers and passengers, we estimate that 8% of these mutations are drivers, causally contributing to tumorigenesis...
  11. pmc Temporal variability in the responses of individual canine airways to methacholine
    Robert H Brown
    Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Public Health, Baltimore, MD 21205, USA
    J Appl Physiol (1985) 104:1381-6. 2008
    ..If we consider that increased heterogeneity may potentiate clinical symptoms, then airway response variability may play an important role in the manifestation of airway disease...
  12. pmc Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure
    Brian S Schwartz
    Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Neuroimage 37:633-41. 2007
    ..In this cohort, an interesting group in which to examine structure-function relations, this finding provides a necessary condition to support the hypothesis that lead may influence cognitive function by its effect on brain volumes...
  13. pmc Genetic or pharmacologic amplification of nrf2 signaling inhibits acute inflammatory liver injury in mice
    William O Osburn
    Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
    Toxicol Sci 104:218-27. 2008
    ..Taken together, these results clearly illustrate that targeted cytoprotection of hepatocytes through Nrf2 signaling during inflammation prevents the amplification of inflammatory responses in the liver...
  14. ncbi request reprint Limited family structure and breast cancer risk
    Edwin S Iversen
    JAMA 298:2007; author reply 2007-8. 2007
  15. pmc Incorporating tumor immunohistochemical markers in BRCA1 and BRCA2 carrier prediction
    Yu Chuan Tai
    Breast Cancer Res 10:401. 2008
  16. pmc Breast cancer risk among male BRCA1 and BRCA2 mutation carriers
    Yu Chuan Tai
    Institute for Human Genetics, University of California, San Francisco, CA, USA
    J Natl Cancer Inst 99:1811-4. 2007
    ..The estimated cumulative risk of breast carcinoma for male BRCA1 mutation carriers at age 70 years was 1.2% (95% confidence interval [CI] = 0.22% to 2.8%) and for BRCA2 mutation carriers, 6.8% (95% CI = 3.2% to 12%)...