John Molitor

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. ncbi request reprint Application of Bayesian spatial statistical methods to analysis of haplotypes effects and gene mapping
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, 900089 9011, USA
    Genet Epidemiol 25:95-105. 2003
  2. ncbi request reprint Bayesian modeling of air pollution health effects with missing exposure data
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089 9011, USA
    Am J Epidemiol 164:69-76. 2006
  3. pmc Fine mapping--19th century style
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089 9011, USA
    BMC Genet 6:S63. 2005
  4. pmc A survey of current Bayesian gene mapping methods
    John Molitor
    Department of Preventive Medicine, University of Southern California, 1540 Alcazar Street, CHP 220, Los Angeles, CA 90089 9011, USA
    Hum Genomics 1:371-4. 2004
  5. pmc Fine-scale mapping of disease genes with multiple mutations via spatial clustering techniques
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, Los Angeles, CA, 90089, USA
    Am J Hum Genet 73:1368-84. 2003
  6. pmc Association mapping with single-feature polymorphisms
    Sung Kim
    Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089 2910, USA
    Genetics 173:1125-33. 2006
  7. pmc Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes
    Maria Jose Aranzana
    Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America
    PLoS Genet 1:e60. 2005
  8. pmc Markov chain Monte Carlo without likelihoods
    Paul Marjoram
    Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
    Proc Natl Acad Sci U S A 100:15324-8. 2003
  9. pmc Haplotype structure and phenotypic associations in the chromosomal regions surrounding two Arabidopsis thaliana flowering time loci
    Jenny Hagenblad
    Molecular and Computational Biology Program, University of Southern California, Los Angeles, California 90089, USA
    Genetics 168:1627-38. 2004
  10. ncbi request reprint Bayesian spatial modeling of haplotype associations
    Duncan C Thomas
    University of Southern California, Los Angeles, CA 90089 9011, USA
    Hum Hered 56:32-40. 2003

Collaborators

Detail Information

Publications12

  1. ncbi request reprint Application of Bayesian spatial statistical methods to analysis of haplotypes effects and gene mapping
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, 900089 9011, USA
    Genet Epidemiol 25:95-105. 2003
    ..We demonstrate the effectiveness of the model on two real datasets, a well-known dataset used to fine-map the gene for cystic fibrosis, and one used to localize the gene for Friedreich's ataxia...
  2. ncbi request reprint Bayesian modeling of air pollution health effects with missing exposure data
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089 9011, USA
    Am J Epidemiol 164:69-76. 2006
    ..From these incomplete measures, long-term nitrogen dioxide exposure and its effect on health must be inferred. Results show that the method improves estimates when compared with standard frequentist approaches...
  3. pmc Fine mapping--19th century style
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089 9011, USA
    BMC Genet 6:S63. 2005
    ..There is great interest in the use of computationally intensive methods for fine mapping of marker data. In this paper we develop methods based upon ideas originally proposed 100 years ago in the context of spatial clustering...
  4. pmc A survey of current Bayesian gene mapping methods
    John Molitor
    Department of Preventive Medicine, University of Southern California, 1540 Alcazar Street, CHP 220, Los Angeles, CA 90089 9011, USA
    Hum Genomics 1:371-4. 2004
    ..This review attempts to summarise some of the currently available methods and the software available to implement these methods...
  5. pmc Fine-scale mapping of disease genes with multiple mutations via spatial clustering techniques
    John Molitor
    Department of Preventive Medicine, University of Southern California, Los Angeles, Los Angeles, CA, 90089, USA
    Am J Hum Genet 73:1368-84. 2003
    ..In this way, we are able to handle haplotypes of arbitrary size. Furthermore, our clustering approach has the potential to allow us to detect the presence of multiple functional mutations...
  6. pmc Association mapping with single-feature polymorphisms
    Sung Kim
    Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089 2910, USA
    Genetics 173:1125-33. 2006
    ..Finally, we show how power depends on the accuracy with which single-feature polymorphisms are called...
  7. pmc Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes
    Maria Jose Aranzana
    Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America
    PLoS Genet 1:e60. 2005
    ..However, the false positive rates were always substantial regardless of the trait, highlighting the necessity of an appropriate genomic control in association studies...
  8. pmc Markov chain Monte Carlo without likelihoods
    Paul Marjoram
    Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
    Proc Natl Acad Sci U S A 100:15324-8. 2003
    ..The approach is illustrated by an example of ancestral inference in population genetics. A number of open problems are highlighted in the discussion...
  9. pmc Haplotype structure and phenotypic associations in the chromosomal regions surrounding two Arabidopsis thaliana flowering time loci
    Jenny Hagenblad
    Molecular and Computational Biology Program, University of Southern California, Los Angeles, California 90089, USA
    Genetics 168:1627-38. 2004
    ..No clear evidence for previously unknown alleles at either locus was found, but the effect of population structure in causing false positives was evident...
  10. ncbi request reprint Bayesian spatial modeling of haplotype associations
    Duncan C Thomas
    University of Southern California, Los Angeles, CA 90089 9011, USA
    Hum Hered 56:32-40. 2003
    ..We conclude with a discussion of the implications of these methods for modeling cryptic relatedness, haplotype blocks, and haplotype tagging SNPs, and suggest a Bayesian framework for the HapMap project...
  11. ncbi request reprint Bayesian modeling of complex metabolic pathways
    David V Conti
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089 9011, USA
    Hum Hered 56:83-93. 2003
    ..The new analyses are structured in a manner that attempts to take advantage of prior knowledge of the metabolism of these classes of compounds and the various genes that regulate these pathways...
  12. pmc Assessing uncertainty in spatial exposure models for air pollution health effects assessment
    John Molitor
    Department of Epidemiology and Public Health, Imperial College London, London, UK
    Environ Health Perspect 115:1147-53. 2007
    ..Although numerous epidemiologic studies now use models of intraurban exposure, there has been little systematic evaluation of the performance of different models...