Guimin Gao

Summary

Affiliation: University of Alabama at Birmingham
Country: USA

Publications

  1. pmc Detecting epistatic interactions contributing to human gene expression using the CEPH family data
    Hua Li
    Bioinformatics Center, Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, Missouri 64110, USA
    BMC Proc 1:S67. 2007
  2. pmc Testing for differences in distribution tails to test for differences in 'maximum' lifespan
    Guimin Gao
    Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
    BMC Med Res Methodol 8:49. 2008
  3. pmc A rapid association test procedure robust under different genetic models accounting for population stratification
    Wenan Chen
    Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298 0032, USA
    Hum Hered 75:23-33. 2013
  4. pmc Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis
    Qi Yan
    Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
    Genet Epidemiol 38:447-56. 2014
  5. pmc Similarity-based multimarker association tests for continuous traits
    Wan Yu Lin
    Department of Biostatistics, University of Alabama at Birmingham, USA
    Ann Hum Genet 76:246-60. 2012
  6. pmc A generalized sequential Bonferroni procedure using smoothed weights for genome-wide association studies incorporating information on Hardy-Weinberg disequilibrium among cases
    Guimin Gao
    Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298 0032, USA
    Hum Hered 73:1-13. 2012
  7. pmc Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests
    Guolian Kang
    Section on Statistical Genetics, Department of Biostatistics, The University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, Alabama 35294, USA
    BMC Proc 3:S38. 2009
  8. pmc Case-control association analysis of rheumatoid arthritis with candidate genes using related cases
    Yun Joo Yoo
    Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1665 University Boulevard, Ryals Building 327H, Birmingham, Alabama 35294, USA
    BMC Proc 1:S33. 2007
  9. pmc MethylPCA: a toolkit to control for confounders in methylome-wide association studies
    Wenan Chen
    Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
    BMC Bioinformatics 14:74. 2013
  10. pmc Evaluation of pooled association tests for rare variant identification
    Wan Yu Lin
    Department of Biostatistics, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35294, USA
    BMC Proc 5:S118. 2011

Detail Information

Publications16

  1. pmc Detecting epistatic interactions contributing to human gene expression using the CEPH family data
    Hua Li
    Bioinformatics Center, Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, Missouri 64110, USA
    BMC Proc 1:S67. 2007
    ..We evaluated the power of the method by simulation studies and applied this method to the analysis of the Centre d'Etude du Polymorphisme Humain family gene expression data provided by Genetics Analysis Workshop 15 (GAW15)...
  2. pmc Testing for differences in distribution tails to test for differences in 'maximum' lifespan
    Guimin Gao
    Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
    BMC Med Res Methodol 8:49. 2008
    ..However, a limitation of these tests is that they do not consider how much above the threshold any particular observation is...
  3. pmc A rapid association test procedure robust under different genetic models accounting for population stratification
    Wenan Chen
    Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298 0032, USA
    Hum Hered 75:23-33. 2013
    ....
  4. pmc Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis
    Qi Yan
    Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
    Genet Epidemiol 38:447-56. 2014
    ..We also apply our proposed methodology to data from a study of the association between bipolar disorder and candidate pathways from Wellcome Trust Case Control Consortium (WTCCC) to show its utility. ..
  5. pmc Similarity-based multimarker association tests for continuous traits
    Wan Yu Lin
    Department of Biostatistics, University of Alabama at Birmingham, USA
    Ann Hum Genet 76:246-60. 2012
    ..3). Our SIMp test outperforms other tests when the causal variant was introduced at common haplotypes (the maximum frequency of risk haplotypes >0.4). We also applied our two tests to an adiposity data set to show their utility...
  6. pmc A generalized sequential Bonferroni procedure using smoothed weights for genome-wide association studies incorporating information on Hardy-Weinberg disequilibrium among cases
    Guimin Gao
    Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298 0032, USA
    Hum Hered 73:1-13. 2012
    ....
  7. pmc Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests
    Guolian Kang
    Section on Statistical Genetics, Department of Biostatistics, The University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, Alabama 35294, USA
    BMC Proc 3:S38. 2009
    ..Simulation studies demonstrate that the MC method may have slightly higher power than the p-values adjusted for correlated tests method...
  8. pmc Case-control association analysis of rheumatoid arthritis with candidate genes using related cases
    Yun Joo Yoo
    Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1665 University Boulevard, Ryals Building 327H, Birmingham, Alabama 35294, USA
    BMC Proc 1:S33. 2007
    ..These results, together with the results, based on simulated data, showed that higher power could be achieved using all related cases...
  9. pmc MethylPCA: a toolkit to control for confounders in methylome-wide association studies
    Wenan Chen
    Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
    BMC Bioinformatics 14:74. 2013
    ..This approach is, however, computationally very challenging due to the extremely large number of methylation sites in the human genome...
  10. pmc Evaluation of pooled association tests for rare variant identification
    Wan Yu Lin
    Department of Biostatistics, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35294, USA
    BMC Proc 5:S118. 2011
    ....
  11. pmc Application of imputation methods to the analysis of rheumatoid arthritis data in genome-wide association studies
    Douglas K Childers
    Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA
    BMC Proc 3:S24. 2009
    ..We found some untyped SNP that showed significant association with rheumatoid arthritis. Among them, a few of these were not located near any typed SNP that was found to be significant and thus may be worth further investigation...
  12. pmc Haplotyping methods for pedigrees
    Guimin Gao
    Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Ala, USA
    Hum Hered 67:248-66. 2009
    ..We explore the connections among these methods, and describe the challenges that remain to be addressed...
  13. pmc Weighted multiple hypothesis testing procedures
    Guolian Kang
    University of Alabama at Birmingham, Birmingham, AL 35294, USA
    Stat Appl Genet Mol Biol 8:Article23. 2009
    ..All proposed procedures control the FWER well and are useful when prior information is available to estimate the weights...
  14. pmc A rapid conditional enumeration haplotyping method in pedigrees
    Guimin Gao
    Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA
    Genet Sel Evol 40:25-36. 2008
    ..The new algorithm is much more efficient than our previous method and the widely used software SimWalk2...
  15. pmc Conditional probability methods for haplotyping in pedigrees
    Guimin Gao
    Virginia Bioinformatics Institute, Department of Statistics, Virginia Tech, Blacksburg, Virginia 24061, USA
    Genetics 167:2055-65. 2004
    ..The new haplotyping methods are much faster and provide more information than several existing stochastic and rule-based methods. The accuracies of the new methods are equivalent to or better than those of these existing methods...
  16. pmc Estimation of deleterious genomic mutation parameters in natural populations by accounting for variable mutation effects across loci
    Hong Wen Deng
    Osteoporosis Research Center and Department of Biological Sciences, Creighton University, Omaha, Nebraska 68131, USA
    Genetics 162:1487-500. 2002
    ..Importantly, this method is the first one to characterize cov(h, s) for DGM...