Bo Peng

Summary

Affiliation: Rice University
Country: USA

Publications

  1. ncbi request reprint Estimating the growth rates of primary lung tumours from samples with missing measurements
    Olga Gorlova
    Department of Epidemiology, University of Texas M D Anderson Cancer Center, Houston, TX 77030, USA
    Stat Med 24:1117-34. 2005
  2. ncbi request reprint simuPOP: a forward-time population genetics simulation environment
    Bo Peng
    Department of Statistics, Rice University, Houston, TX 77005, USA
    Bioinformatics 21:3686-7. 2005
  3. pmc Genome-wide algorithm for detecting CNV associations with diseases
    Yaji Xu
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1155 Pressler St, Houston, Texas 77030, USA
    BMC Bioinformatics 12:331. 2011
  4. pmc Forward-time simulation of realistic samples for genome-wide association studies
    Bo Peng
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
    BMC Bioinformatics 11:442. 2010
  5. pmc Derived SNP alleles are used more frequently than ancestral alleles as risk-associated variants in common human diseases
    Olga Y Gorlova
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 3721, USA
    J Bioinform Comput Biol 10:1241008. 2012
  6. doi request reprint Power analysis for case-control association studies of samples with known family histories
    Bo Peng
    Department of Epidemiology, The University of Texas M D Anderson Cancer Center, 1155 Pressler St Unit 1340, Houston, TX 77030, USA
    Hum Genet 127:699-704. 2010
  7. pmc Detection of disease-associated deletions in case-control studies using SNP genotypes with application to rheumatoid arthritis
    Chih Chieh Wu
    Unit 1340, Department of Epidemiology, The University of Texas M D Anderson Cancer Center, Houston, TX 77030, USA
    Hum Genet 126:303-15. 2009
  8. pmc A modified forward multiple regression in high-density genome-wide association studies for complex traits
    Xiangjun Gu
    Department of Epidemiology, The University of Texas M D Anderson Cancer Center, Houston, Texas 77030, USA
    Genet Epidemiol 33:518-25. 2009
  9. pmc Simulations provide support for the common disease-common variant hypothesis
    Bo Peng
    Department of Statistics, Rice University, Houston, Texas 77005, USA
    Genetics 175:763-76. 2007
  10. pmc Simulating sequences of the human genome with rare variants
    Bo Peng
    Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
    Hum Hered 70:287-91. 2010

Detail Information

Publications14

  1. ncbi request reprint Estimating the growth rates of primary lung tumours from samples with missing measurements
    Olga Gorlova
    Department of Epidemiology, University of Texas M D Anderson Cancer Center, Houston, TX 77030, USA
    Stat Med 24:1117-34. 2005
    ..The relative error of the best estimates, as assessed by simulation, rarely exceeds 20 per cent. We found that the results of application of our estimation procedures to chest X-ray screening data agree well with the expectations...
  2. ncbi request reprint simuPOP: a forward-time population genetics simulation environment
    Bo Peng
    Department of Statistics, Rice University, Houston, TX 77005, USA
    Bioinformatics 21:3686-7. 2005
    ....
  3. pmc Genome-wide algorithm for detecting CNV associations with diseases
    Yaji Xu
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1155 Pressler St, Houston, Texas 77030, USA
    BMC Bioinformatics 12:331. 2011
    ..An alternative procedure called PennCNV uses information from both the marker intensities as well as the genotypes and therefore has increased sensitivity...
  4. pmc Forward-time simulation of realistic samples for genome-wide association studies
    Bo Peng
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
    BMC Bioinformatics 11:442. 2010
    ..However, a number of methodological and computational constraints have prevented the power of this simulation method from being fully explored in existing forward-time simulation methods...
  5. pmc Derived SNP alleles are used more frequently than ancestral alleles as risk-associated variants in common human diseases
    Olga Y Gorlova
    Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 3721, USA
    J Bioinform Comput Biol 10:1241008. 2012
    ..Alleles existing longer tend to show weaker linkage disequilibrium with neighboring alleles, including the causal alleles, and are less likely to tag a SNP-disease association...
  6. doi request reprint Power analysis for case-control association studies of samples with known family histories
    Bo Peng
    Department of Epidemiology, The University of Texas M D Anderson Cancer Center, 1155 Pressler St Unit 1340, Houston, TX 77030, USA
    Hum Genet 127:699-704. 2010
    ....
  7. pmc Detection of disease-associated deletions in case-control studies using SNP genotypes with application to rheumatoid arthritis
    Chih Chieh Wu
    Unit 1340, Department of Epidemiology, The University of Texas M D Anderson Cancer Center, Houston, TX 77030, USA
    Hum Genet 126:303-15. 2009
    ..We detected disease-associated deletions within the region of human leukocyte antigen in which genomic deletions were previously discovered in rheumatoid arthritis patients...
  8. pmc A modified forward multiple regression in high-density genome-wide association studies for complex traits
    Xiangjun Gu
    Department of Epidemiology, The University of Texas M D Anderson Cancer Center, Houston, Texas 77030, USA
    Genet Epidemiol 33:518-25. 2009
    ....
  9. pmc Simulations provide support for the common disease-common variant hypothesis
    Bo Peng
    Department of Statistics, Rice University, Houston, Texas 77005, USA
    Genetics 175:763-76. 2007
    ..We discuss the implications for mapping of complex diseases...
  10. pmc Simulating sequences of the human genome with rare variants
    Bo Peng
    Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
    Hum Hered 70:287-91. 2010
    ....
  11. pmc Forward-time simulations of non-random mating populations using simuPOP
    Bo Peng
    Department of Epidemiology, The University of Texas, M D Anderson Cancer Center, 1155 Pressler Blvd, Houston, TX 77030, USA
    Bioinformatics 24:1408-9. 2008
    ..AVAILABILITY: simuPOP is freely available at http://simupop.sourceforge.net, distributed under a GPL license. Cited examples are in the doc/cookbook directory of a simuPOP distribution...
  12. pmc Integrated annotation and analysis of genetic variants from next-generation sequencing studies with variant tools
    F Anthony San Lucas
    Department of Epidemiology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
    Bioinformatics 28:421-2. 2012
    ..However, building flexible pipelines that support the tracking of variants alongside their samples, while enabling updated annotation and reanalyses, is not a simple task...
  13. pmc Normalizing a large number of quantitative traits using empirical normal quantile transformation
    Bo Peng
    Department of Epidemiology, The University of Texas, Anderson Cancer Center, 1155 Pressler Boulevard, Unit 1340, Houston, Texas 77030, USA
    BMC Proc 1:S156. 2007
    ..To investigate the impact of such a transformation on real data sets, we apply variance-components and variance-regression methods to the expression data of GAW15 and compare the results before and after transformation...
  14. pmc Forward-time simulations of human populations with complex diseases
    Bo Peng
    Department of Epidemiology, The University of Texas M D Anderson Cancer Center, Houston, Texas, United States of America
    PLoS Genet 3:e47. 2007
    ..Nonadditive fitness models, population structure, and gene-gene interactions are simulated. Case-control, sibpair, and large pedigree samples are drawn from the simulated populations and are examined by a variety of gene-mapping methods...