Guimin Gao, PhD


EDUCATION

  • Postdoc (Statistical Genetics and Bioinformatics) 2002-2005, Virginia Tech, VA.
  • Postdoc (Statistical Genetics) 2001, Creighton University, NE.
  • Ph.D. (Biostatistics) 2000, Sun Yat-sen University of Medical Sciences, China.
  • M.S. (Applied Mathematics) 1990, Hubei University, China

 

RESEARCH INTERESTS

Dr. Gao’s research interests have focused on application of statistical methods and computer software to analyze genetic/genomic data and other related biomedical data. His current research activities include 1) collaborating with investigators on clinical and translational science and 2) developing and applying methods for haplotyping in pedigrees, gene mapping in admixed population, and analyses of GWAS data, methylation data, gene expression data, and DNA sequencing data.

 

SELECTED PUBLICATIONS

  • Chen W., Ren C., Qin H., Archer K.J., Ouyang W., Liu N., Luo X., Zhu Z., Sun S., Gao G. (2015) A generalized sequential Bonferroni procedures for GWAS in admixed populations incorporating admixture mapping information into association tests. Human Heredity 79: 80-92.
  • Yan Q., Tiwari H.K., Yi N, Gao G,  Zhang K., Lin W., Lou X., Liu N (2015). A Sequence Kernel Association Test for Dichotomous Traits in Family Samples under a Generalized Linear Mixed Model. Human Heredity 79: 60-68.
  • Li Z., Yuan A., Han G., Gao G., Li Q. (2014) Rank-based tests for identifying multiple genetic variants associated with quantitative traits.  Ann Hum Genet 78:306-10.
  • Aberg K.A., McClay J.L., Nerella S., Clark S., Kumar G., Chen W., Khachane A.N., Xie L., Hudson A., Gao G., Harada A., Hultman C.M., Sullivan P.E., Magnusson P.K.E., van den Oord E. J.C.G. (2014) Methylome-wide sequencing study of schizophrenia identifies blood biomarker signatures of environmental insults. JAMA Psychiatry, doi:10.1001/jamapsychiatry.2013.3730.
  • Lin W.Y, Yi N, Lou X.Y., Zhi D, Zhang K, Gao G, Tiwari H.K., Liu N. (2013) Haplotype Kernel Association Test as a Powerful Method to Identify Chromosomal Regions Harboring Uncommon Causal Variants. Genetic Epidemiology 37:560-70.
  • Chen W., Chen X., Archer K.J., Liu N., Li Q, Zhao Z, Sun S, Gao G. (2013) A robust association test under different genetic models accounting for population stratification. Human Heredity 75:23-33.
  • Chen W., Gao G., Nerella S., Hultman C.M., Magnusson P.K., Sullivan P.F., Aberg K.A., van den Oord E.J. (2013) MethylPCA: a toolkit to control for confounders in methylome-wide association studies. BMC Bioinformatics 14:74. PMCID:PMC3599654.
  • Wang S., Chen W., Chen X., Hu F., Archer K.J., Liu N., Sun S., Gao G. (2012) Double genomic control is not effective to correct for population stratification in Meta-analysis for GWAS. Frontiers in Genetics. 3:300. doi: 10.3389/fgene.2012.00300. PMCID: PMC3529452.
  • Lin W.Y, Yi N, Zhi D, Zhang K, Gao G, Tiwari H.K., Liu N. (2012) Haplotype-based methods for detecting uncommon causal variants with common SNPs. Genetic Epidemiology 36:572–582.
  • Gao G., Kang G., Wang J., Chen W., Qin H., Jiang B., Li Q., Sun C., Liu N., Archer, K.J., Allison D.B. (2012) A sequential Bonferroni procedure using smoothed weights for GWAS incorporating information on Hardy-Weinberg disequilibrium. Hum Hered. 73:1-13.
  • Chen W, Gao X, Wang J, Sun C, Wan W, Zhi D, Liu N, Chen X, Gao G. (2011) Evaluation of association tests for rare variants using simulated data sets in the Genetic Analysis Workshop 17 data. BMC Proceedings, 5(Suppl 9):S86.
  • Kang G., Gao G. Shete S, Redden D.T., Chang B.L., Rebbeck T.R., Barnholtz-Sloan J.S., Pajewski N.M., Allison D.B. (2011) Capitalizing on admixture in genome-wide association studies: A two-stage testing procedure and application to height in African Americans. Front. Gene. 2:11. doi: 10.3389/fgene.2011.00011.
  • Zhang B, Zhi D, Zhang K, Gao G, Limdi N, Liu N. (2011) Practical consideration of genotype imputation: Sample size, window size, reference choice, and untyped rate. Statistics and Its Inference 4:339–351.
  • Wojczynski M.K., Gao G., Borecki I., Hopkins P., Parnell. L, Lai C.Q., Ordovas J.M., Chung B.H., Arnett, D. K. (2010). Apolipoprotein B genetic variants modify the response to fenofibrate: a GOLDN study. The Journal of Lipid Research 51:3316-3323. PMCID: PMC2952572.
  • Kang G., Childers D., Liu L., Zhang K., Gao G. (2009) Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests. BMC Proc. 3(Suppl 7): S38.
  • Kang G., Ye K., Liu L., Allison D.B., Gao G. (2009) Weighted multiple hypothesis testing procedures. Statistical Applications in Genetics and Molecular Biology. Vol. 8 : Iss. 1, Article 23.
  • Liu Y.J., Ordovas J.M., Gao G., Zhang K., Borecki I., Province, M., Tsai, M., Hixson, J.E., Allison, D.B., Arnett, D. K. (2009) Pharmacogenetic association of the APOA1/C3/A4/A5 gene cluster and lipid responses to fenofibrate: the genetics of lipid-lowering drugs and diet network study. Pharmacogenetics and Genomics 19:161-9.
  • Gao G., Allison D.B., Hoeschele I. (2009) Haplotyping methods for pedigrees. Hum. Hered. 67:248-266.
  • Gao G., Wan W., Zhang S., Redden D., Allison D.B. (2008) Testing for differences in distribution tails to test for differences in ‘maximum’ lifespan. BMC Medical Research Methodology 8:49 (1-10).
  • Gao G., Hoeschele I. (2008) A rapid conditional enumeration haplotyping method in pedigrees. Genet. Sel. Evol. 40:25-36.
  • Gao G., Hoeschele I. (2005). Approximating identity-by-descent matrices using multiple haplotype configurations on pedigrees. Genetics 171:365-76.
  • Gao G., Hoeschele I., Sorensen P., Du. F.X. (2004) Conditional probability methods for haplotyping in pedigrees. Genetics 167: 2055-2065.