Manika Govil

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. pmc MLIP: using multiple processors to compute the posterior probability of linkage
    Manika Govil
    Department of Oral Biology and Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    BMC Bioinformatics 9:S2. 2008
  2. pmc Practical considerations for dividing data into subsets prior to PPL analysis
    M Govil
    Department of Oral Biology and Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
    Hum Hered 66:223-37. 2008
  3. pmc Genome scan, fine-mapping, and candidate gene analysis of non-syndromic cleft lip with or without cleft palate reveals phenotype-specific differences in linkage and association results
    Mary L Marazita
    Department of Oral Biology, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA
    Hum Hered 68:151-70. 2009
  4. pmc Follow-up association studies of chromosome region 9q and nonsyndromic cleft lip/palate
    Ariadne Letra
    Department of Oral Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, PA 15261, USA
    Am J Med Genet A 152:1701-10. 2010
  5. ncbi request reprint Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15
    Michael D Swartz
    Department of Epidemiology, University of Texas M D Anderson Cancer Center, Houston, TX, USA
    Genet Epidemiol 31:S96-102. 2007

Collaborators

Detail Information

Publications5

  1. pmc MLIP: using multiple processors to compute the posterior probability of linkage
    Manika Govil
    Department of Oral Biology and Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    BMC Bioinformatics 9:S2. 2008
    ..This paper describes MLIP, a multiprocessor two-point genetic linkage analysis system that supports statistical calculations, such as the PPL, based on the full parameter space implicit in the linkage likelihood...
  2. pmc Practical considerations for dividing data into subsets prior to PPL analysis
    M Govil
    Department of Oral Biology and Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
    Hum Hered 66:223-37. 2008
    ..Here, we systematically explore the relative efficacy of alternative subsetting approaches for purposes of PPL calculation...
  3. pmc Genome scan, fine-mapping, and candidate gene analysis of non-syndromic cleft lip with or without cleft palate reveals phenotype-specific differences in linkage and association results
    Mary L Marazita
    Department of Oral Biology, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA
    Hum Hered 68:151-70. 2009
    ..Non-syndromic orofacial clefts, i.e. cleft lip (CL) and cleft palate (CP), are among the most common birth defects. The goal of this study was to identify genomic regions and genes for CL with or without CP (CL/P)...
  4. pmc Follow-up association studies of chromosome region 9q and nonsyndromic cleft lip/palate
    Ariadne Letra
    Department of Oral Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, PA 15261, USA
    Am J Med Genet A 152:1701-10. 2010
    ..32-34.1 region harbors cleft susceptibility genes. Additional studies with other populations should focus on these loci to further investigate the participation of these genes in human clefting...
  5. ncbi request reprint Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15
    Michael D Swartz
    Department of Epidemiology, University of Texas M D Anderson Cancer Center, Houston, TX, USA
    Genet Epidemiol 31:S96-102. 2007
    ..These group contributions exhibit the value of framing genetic problems in terms of model selection, and highlight the impact of variable selection for gene mapping...