1 |
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., et al. (2009). Finding the missing heritability of complex diseases. Nature, 461, 747-753.
DOI
ScienceOn
|
2 |
Neudecker, H. and Magnus, J. R. (1999). Matrix differential calculus with applications in statistics and econometrics, 2nd Ed., Wiley, New York.
|
3 |
Patterson, H. D. and Thompson, R. (1971). Recovery of inter-block information when block sizes are unequal. Biometrika, 58, 545.
DOI
ScienceOn
|
4 |
Smyth, G. K. and Verbyla, A. P. (1996). A conditional likelihood approach to residual maximum likelihood estimation in generalized linear models. Journal of the Royal Statistical Society B, 58, 572.
|
5 |
Stoline, M. R. (1981). The status of multiple comparisons: Simultaneous estimation of all pairwise comparisons in one-way ANOVA designs. The American Statistician, 35, 134-141.
|
6 |
Valdar, W., Solberg, L. C., Gauguier, D., Burnett, S., Klenerman, P., Cookson, W. O., Taylor, M. S., Rawlins, J. N. P., Mott, R. and Flint, H. (2006). Genome-wide genetic association of complex traits in heterogeneous stock mice. Nature Genetics, 38, 879-887.
DOI
ScienceOn
|
7 |
Zhou, X. and Stephens, M. (2012). Genome-wide efficient mixed-model analysis for association studies. Nature Genetics, 44, 821-824.
DOI
ScienceOn
|
8 |
Dunn, O. J. (1961). Multiple comparisons among means. Journal of the American Statistical Association, 56, 52-64.
DOI
ScienceOn
|
9 |
Corbeil, R. R. and Searle, S. R. (1976). Restricted maximum likelihood (REML) estimation of variance components in the mixed model. Technometrics, 18, 31-38.
DOI
ScienceOn
|
10 |
Diggle, P., Heagerty, P., Liang, K. Y. and Zeger, S. (2002). Analysis of longitudinal data, 2nd Ed., Oxford University Press, USA.
|
11 |
Falconer, D. S., Mackay, T. F. and Frankham, R. (1996). Introduction to quantitative genetics (4th edn). Trends in Genetics, 12, 280.
DOI
ScienceOn
|
12 |
Gilmour, A. R., Thompson, R. and Cullis, B. R. (1995). Average information REML: An efficient algorithm for variance parameter estimation in linear mixed models. Biometrics, 51, 1440-1450.
DOI
ScienceOn
|
13 |
Jennrich, R. I., and Sampson, P. F. (1976). Newton-Raphson and related algorithms for maximum likelihood variance component estimation. Technometrics, 18, 11-17.
DOI
ScienceOn
|
14 |
Kenward, M. G. and Roger, J. H. (1997). Small sample inference for fixed effects from restricted maximum likelihood. Biometrics, 53, 983-997.
DOI
|
15 |
Laird, N. M. andWare, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38, 963-974.
DOI
ScienceOn
|
16 |
Lee, J. (2010). Genetic variation and diseases, 2nd Ed., World Science, Korea.
|
17 |
Lindstrom, M. J. and Bates, D. M. (1988). Newton-Raphson and EM algorithms for linear mixed-effects models for repeated-measures data. Journal of the American Statistical Association, 83, 1014-1022.
|
18 |
Kang, H. M., Sul, J. H., Service, S. K., Zaitlen, N. A., Kong, S. Y., Freimer, N. B., Sabatti, C. and Eskin, E. (2010). Variance component model to account for sample structure in genome-wide association studies. Nature Genetics, 42, 348-354.
DOI
ScienceOn
|
19 |
Sung, J., Cho, S. I., Lee, K., Lee, M., Ha, M., Choi, E. Y., Choi, J. S., Kim, H. K., et al. (2006), Healthy twin: A twin-family study of Korea-protocols and current status. Twin Research and Human Genetics, 9, 844-848.
DOI
|