Keiichi Kodama

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. pmc Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis
    Keiichi Kodama
    Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
    Diabetes Care 36:1789-96. 2013
  2. pmc FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease
    Rong Chen
    Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA
    Genome Biol 9:R170. 2008
  3. pmc Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
    Chirag J Patel
    Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, 1265 Welch Road, Room X 163 MS 5415, Stanford, CA, 94305, USA
    Hum Genet 132:495-508. 2013
  4. pmc Expression-based genome-wide association study links the receptor CD44 in adipose tissue with type 2 diabetes
    Keiichi Kodama
    Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 109:7049-54. 2012

Detail Information

Publications4

  1. pmc Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis
    Keiichi Kodama
    Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
    Diabetes Care 36:1789-96. 2013
    ..We hypothesized that there may be ethnic differences in the optimal states in the relationship between insulin sensitivity and insulin response...
  2. pmc FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease
    Rong Chen
    Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA
    Genome Biol 9:R170. 2008
    ..We propose to use the more than 200,000 microarray studies in the Gene Expression Omnibus to systematically prioritize candidate SNPs from GWASs...
  3. pmc Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
    Chirag J Patel
    Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, 1265 Welch Road, Room X 163 MS 5415, Stanford, CA, 94305, USA
    Hum Genet 132:495-508. 2013
    ..Unbiased consideration of environmental and genetic factors may help identify larger and more relevant effect sizes for disease associations...
  4. pmc Expression-based genome-wide association study links the receptor CD44 in adipose tissue with type 2 diabetes
    Keiichi Kodama
    Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 109:7049-54. 2012
    ..Genes repeatedly implicated in publicly available experimental data may have unique functionally important roles in T2D and other complex diseases...