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Comparison of Trend Tests for Genetic Association with Sibship Data
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 Title & Authors
Comparison of Trend Tests for Genetic Association with Sibship Data
Oh, Young-Sin; Kim, Han-Sang; Son, Hae-Hiang;
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Extensively used case-control designs in medical studies can also be powerful and efficient for family association studies as long as an analysis method is developed for the evaluation of association between candidate genes and disease. Traditional Cochran-Armitage trend test is devised for independent subjects data, and to apply this trend test to the biologically related siblings one has to take into account the covariance among related family members in order to maintain the correct type I error rate. We propose a more powerful trend test by introducing weights that reflect the number of affected siblings in families for the evaluation of the association of genetic markers related to the disease. An application of our method to a sample family data, in addition to a small-scale simulation, is presented to compare the weighted and unweighted trend tests.
Cochran-Armitage trend test;case-control designs;genetic association;sibship data;
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이산형 형질에 대한 가족자료 연관성 검정법 FBAT와 형제 전달 불균형 연관성 검정법 S-TDT의 비교,김한상;오영신;송혜향;

응용통계연구, 2010. vol.23. 6, pp.1103-1113 crossref(new window)
Comparison of the Family Based Association Test and Sib Transmission Disequilibrium Test for Dichotomous Trait, Korean Journal of Applied Statistics, 2010, 23, 6, 1103  crossref(new windwow)
Armitage, P. (1955). Tests for linear trends in proportions and frequencies, Biometrics, 11, 375-386. crossref(new window)

Breslow, N. E. (1996). Statistics in epidemiology: The case-control study, Journal of the American Statistical Association, 91, 14-28. crossref(new window)

Cochran, W. G. (1954). Some methods for strengthening the common chi-squared test, Biometrics, 10, 417-451. crossref(new window)

Fingerlin, T. E., Boehnke, M. and Abecasis, G. R. (2004). Increasing the power and efficiency of diseasemarker case-control association studies through use of allele-sharing information, American Journal of Human Genetics, 74, 432-443. crossref(new window)

Gauderman, W. J., Witte, J. S. and Thomas, D. C. (1999). Family-based association studies, Journal of the National Cancer Institute Monographs, 26, 31-37.

Kerber, R. A., Amos, C. I., Yeap, B. Y., Finkelstein, D. M. and Thomas, D. C. (2008). Design considerations in a sib-pair study of linkage for susceptibility loci in cancer, BMC Medical Genetics, 9, 64. crossref(new window)

Li, C. C. and Sacks, L. (1954). The derivation of joint distribution and correlation between relatives by the use of stochastic matrices, Biometrics, 10, 347-360. crossref(new window)

Li, M., Boehnke, M. and Abecasis, G. R. (2006). Efficient study designs for test of genetic association using sibship data and unrelated cases and controls, American Journal of Human Genetics, 78, 778-792. crossref(new window)

Monks, S. A., Kaplan, N. L. and Weir, B. S. (1998). A comparative study of sibship tests of linkage and/or association, American Journal of Human Genetics, 63, 1507-1516. crossref(new window)

Moore, R. M., Pinel, T., Zhao, J. H., March, R. and Jawaid, A. (2005). Selecting cases from nuclear families for case-control association analysis, BMC Genetics, 6(Suppl I), S105. crossref(new window)

Risch, N. (2000). Searching for genetic determinants in the new millennium, Nature, 405, 847-856. crossref(new window)

Risch, N. and Merikangas, K. (1996). The future of genetic studies of complex human disease, Science, 273, 1516-1517. crossref(new window)

Risch, N. and Teng, J. (1998). The relative power of family-based and case-control designs for linkage disequilibrium studies of complex human diseases. I. DNA pooling, Genome Research, 8, 1273-1288. crossref(new window)

Slager, S. L. and Schaid, D. J. (2001). Evaluation of candidate genes in case-control studies: A statistical method to account for related subjects, American Journal of Human Genetics, 68, 1457-1462. crossref(new window)

Yates, F. (1948). The analysis of contingency tables with groupings based on quantitative characters, Biometrika, 35, 176-181. crossref(new window)