Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

개인 맞춤형 의료 연구 동향

  • Published : 2011.04.29
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. E. Y. M. G. Fung, et al., "Analysis of 17 autoimmune disease-associated variants in type 1 diabetes identifies 6q23/TNFAIP3 as a susceptibility locus," Genes and Immunity, vol. 10, pp. 188-191, Mar 2009. https://doi.org/10.1038/gene.2008.99
  2. N. J. Prescott, et al., "A nonsynonymous SNP in ATG 16L1 predisposes to ileal Crohn's disease and is independent of CARD15 and 1BD5," Gastroenterology, vol. 132, pp. 1665-1671, May 2007. https://doi.org/10.1053/j.gastro.2007.03.034
  3. 김남신, 추인선, "차세대 시퀀싱 기술의 활용," 생화학 분자생물학 뉴스, vol. 12월호, 2009.
  4. W. G. Feero, et al., "Genomic Medicine: Genomic Medicine -- An Updated Primer.," New England Journal of Medicine, vol. 362, pp. 2001-2011, May 27 2010. https://doi.org/10.1056/NEJMra0907175
  5. E. R. Mardis, "A decade's perspective on DNA sequencing technology," Nature, vol. 470, pp. 198-203, Feb 10 2011. https://doi.org/10.1038/nature09796
  6. P. R. Burton, et al., "Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls,:"Nature, vol. 447, pp. 661-678, Jun 7 2007. https://doi.org/10.1038/nature05911
  7. H. M. Cann, et al., "A human genome diversity cell line panel," Science, vol. 296, pp. 261-262, Apr 12 2002.
  8. Y. Zhang and J. S. Liu, "Bayesian inference of epistatic interactions in case-control studies," Nature Genetics, vol. 39, pp. 1167-1173, Sep 2007. https://doi.org/10.1038/ng2110
  9. X. Wan, et al., "MegaSNPHunter: A learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study," BMC bioinformatics, vol. 10, 2009.
  10. X. Zhang, et al., "TEAM: efficient two-locus epistasis tests in human genome-wide association study," Bioinformatics, vol. 26, pp. i217-i227, Jun 15 2010. https://doi.org/10.1093/bioinformatics/btq186
  11. M. D. Ritchie, et al., "Multifactor-dimensionality reduction reveals high-order interactions among estrogenmetabolism genes in sporadic breast cancer," American Journal of Human Genetics, vol. 69, pp. 138-147, Jul 2001 https://doi.org/10.1086/321276
  12. Y. J. Chung, et al., "Odds ratio based multifactordimensionality reduction method for detecting gene-gene interactions," Bioinformatics, vol. 23, pp. 71-76, Jan 1 2007. https://doi.org/10.1093/bioinformatics/btl557
  13. S. Y. Lee, et al., "Log-linear model-based multifactor dimensionality reduction method to detect genegene interactions," Bioinformatics, vol. 23, pp. 2589-2595, Oct 1 2007. https://doi.org/10.1093/bioinformatics/btm396
  14. Y. Liu, et al., "SKM-SNP: SNP markers detection method," Journal of Biomedical Informatics, vol. 43, pp. 233-239, 2010. https://doi.org/10.1016/j.jbi.2009.11.004
  15. C. K. Ting, et al., "Multi-objective tag SNPs selection using evolutionary algorithms," Bioinformatics, vol. 26, pp. 1446-1452, Jun 1 2010. https://doi.org/10.1093/bioinformatics/btq158
  16. X. Chen, et al., "A forest-based approach to identifying gene and gene-gene interactions," American Journal of Epidemiology, vol. 167, pp. S96-S96, Jun 1 2008.
  17. F. W. Frueh, et al., "Pharmacogenomic biomarker information in drug labels approved by the United States Food and Drug Administration: Prevalence of related drug use," Pharmacotherapy, vol. 28, pp. 992-998, Aug 2008. https://doi.org/10.1592/phco.28.8.992
  18. T. Simon, et al., "Genetic Determinants of Response to Clopidogrel and Cardiovascular Events," New England Journal of Medicine, vol. 360, pp. 363-375, Jan 22 2009. https://doi.org/10.1056/NEJMoa0808227
  19. T. Yin and T. Miyata, "Warfarin dose and the pharmacogenomics of CYP2C9 and VKORC1 - Rationale and perspectives," Thrombosis Research, vol. 120, pp. 1-10, 2007. https://doi.org/10.1016/j.thromres.2006.10.021
  20. F. W. Frueh, et al., "Pharmacogenomic biomarker information in drug labels approved by the United States Food and Drug Administration: Prevalence of related drug use," Pharmacotherapy, vol. 28, pp. 992-998, Aug 2008. https://doi.org/10.1592/phco.28.8.992
  21. 김용성, "인체의 후성유전학 연구동향," 한국생명공학연구원 유전체의학연구센터, vol. 13호, 2009.
  22. S. B. Baylin and J. E. Ohm, "Epigenetic gene silencing in cancer - a mechanism for early oncogenic pathway addiction?," Nature Reviews Cancer, vol. 6, pp. 107-116, Feb 2006. https://doi.org/10.1038/nrc1799
  23. A. L. Statham, et al., "Repitools: an R package for the analysis of enrichment-based epigenomic data," Bioinformatics, vol. 26, pp. 1662-1663, Jul 1 2010. https://doi.org/10.1093/bioinformatics/btq247
  24. M. Esteller, "Cancer epigenomics: DNA methylomes and histone-modification maps," Nature Reviews Genetics, vol. 8, pp. 286-298, Apr 2007. https://doi.org/10.1038/nrg2005
  25. J. Goecks, et al., "Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences," Genome Biology, vol. 11, pp. -, 2010.