Affiliation: University of Pittsburgh
- MLIP: using multiple processors to compute the posterior probability of linkageManika 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...
- Practical considerations for dividing data into subsets prior to PPL analysisM 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...
- 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 resultsMary 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)...
- Follow-up association studies of chromosome region 9q and nonsyndromic cleft lip/palateAriadne 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...
- Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15Michael 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...