참고문헌
- Human Genome Project. http://www.ornl.gov/sci/techresources/HumanGenome/home.shtml
- Y. S. Cho et al., "A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits," Nature Genetics, vol. 41, no. 5, pp. 527-534, May 2009. https://doi.org/10.1038/ng.357
- S. Ripatti et al., "A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses," Lancet, vol.376, no. 9750, pp. 1393- 1400, Oct. 2010. https://doi.org/10.1016/S0140-6736(10)61267-6
- A. C. Heath et al., "A quantitative-trait genome-wide association study of alcoholismrisk in the community: Findings and implications," Biological Psychiatry, vol. 70, no. 6, pp. 513-518, Sep. 2011. https://doi.org/10.1016/j.biopsych.2011.02.028
- H. D. Daetwyler, B. Villanueva, and J. A. Woolliams, "Accuracy of predicting the genetic risk of disease using a genome-wide approach," PLoS One, vol. 3, no. 10, p. e3395, Oct. 2008 https://doi.org/10.1371/journal.pone.0003395
- S. Waaijenborg and A. H. Zwinderman, "Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data," Algorithms formolecular biology :AMB, vol. 5, p. 17, 2010.
- N. P. Paynter, D. I. Chasman, J. E. Buring,D. Shiffman, N. R. Cook, and P. M. Ridker, "Cardiovascular disease risk prediction with and without knowledge of genetic variation at chromosome 9p21.3," Annals of internal medicine, vol. 150, no. 2, pp. 65-72, Jan. 2009. https://doi.org/10.7326/0003-4819-150-2-200901200-00003
- J. Batsis and F. Lopez-Jimenez, "Cardiovascular risk assessment - From individual risk prediction to estimation of global risk and change in risk in the population," BMC medicine, vol. 8, no. 1, p. 29, 2010. https://doi.org/10.1186/1741-7015-8-29
- Z.Wei, K.Wang,H. Qu,H. Zhang, J. Bradfield, C. Kim, E. Frackleton, C. Hou, J. Glessner, and R. Chiavacci, "From disease association to risk assessment: an optimistic viewfromgenome-wide association studies on Type 1 Diabetes," PLoS genetics, vol. 5, no. 10, p.e1000678, 2009. https://doi.org/10.1371/journal.pgen.1000678
- C. Kooperberg, M. LeBlanc, and V. Obenchain, "Risk prediction using genome-wide association studies," Genetic Epidemiology, vol. 34,no. 7, pp. 643-652, Sep. 2010. https://doi.org/10.1002/gepi.20509
- P. Kraft and D. J. Hunter, "Genetic risk prediction-are we there yet?" New England Journal of Medicine, vol. 360, no. 17, pp. 1701-1703, Apr. 2009. https://doi.org/10.1056/NEJMp0810107
- T. A.Manolio et al., "Finding themissing heritability of complex diseases," Nature, vol. 461, no. 7265, pp. 747- 753, Oct. 2009. https://doi.org/10.1038/nature08494
- H. Siu, Y. Zhu, L. Jin, andM. Xiong, "Implication of next-generation sequencing on association studies," BMC genomics, vol. 12, no. 1, p. 322, Jun. 2011. https://doi.org/10.1186/1471-2164-12-322
- K. Kahrizi et al., "Next generation sequencing in a family with autosomal recessive Kahrizi syndrome (OMIM612713) reveals a homozygous frameshift mutation in SRD5A3," European journal of human genetics : EJHG, vol. 19, no. 1, pp. 115-117, 2011. https://doi.org/10.1038/ejhg.2010.132
- S. Uhmn, D.-H. Kim, Y.-W. Ko, S. Cho, J. Cheong, and J. Kim, "A study on application of single nucleotide polymorphism and machine learning techniques to diagnosis of chronic hepatitis," Expert Systems, vol. 26, no. 1, pp. 60-69, Feb. 2009. https://doi.org/10.1111/j.1468-0394.2008.00491.x
- Online Mendelian Inheritance in Man. http://www.ncbi.nlm.nih.gov/omim.
- S. J. Pocock, V.McCormack, F.Gueyffier, F. Boutitie, R. H. Fagard, and J.-P. Boissel, "A score for predicting risk of death fromcardiovascular disease in adults with raised blood pressure, based on individual patient data fromrandomized controlled trials," BMJ, vol. 323, no. 7304, pp. 75-81, Jul. 2001. https://doi.org/10.1136/bmj.323.7304.75
- P. M. Ridker, J. E. Buring, N. Rifai, and N. R. Cook, "Development and Validation of Improved Algorithms for the Assessment of Global Cardiovascular Risk in Women The Reynolds Risk Score," JAMA, vol. 297, no. 6, pp. 611-619, Feb. 2007. https://doi.org/10.1001/jama.297.6.611
- A Catalog of Genome-Wide Association Studies. http://www.genome.gov/26525384
- The Jackson Laboratory, http://www.jax.org.
- C. F. Deschepper, J. L. Olson, M. Otis, and N. Gallo-Payet, "Characterization of blood pressure and morphological traits in cardiovascular-related organs in 13 different inbredmouse strains," Journal of applied physiology (Bethesda,Md. : 1985), vol. 97, no. 1, pp. 369-376, Jul. 2004. https://doi.org/10.1152/japplphysiol.00073.2004
- P. Pudil and J. Novovicova, "Floating searchmethods in feature selection," Pattern recognition letters, 1994.
- M.H. Cho et al., "Cluster analysis in severe emphysema subjects using phenotype and genotype data: an exploratory investigation," Respiratory Research, 11:30, March 2010. https://doi.org/10.1186/1465-9921-11-30
- Y Guan and M Stephens, "Bayesian variable selection regression for genome-wide association studies and other large-scale problems," Ann. Appl. Stat. Volume 5, Number 3, pp.1780-1815, 2011. https://doi.org/10.1214/11-AOAS455