Multivariate association test using haplotype trend regression. Export

@article{citeulike:4950528, abstract = {Genetic association analyses with haplotypes may be more powerful than analyses with single markers, under certain conditions. Furthermore, simultaneously considering multiple correlated traits may make use of additional information that would not be considered when analyzing individual traits. In this study, we propose a haplotype based test of association for multivariate quantitative traits in unrelated samples. Specifically, we extend a population based haplotype trend regression (HTR) approach to multivariate scenarios. We mainly focused on bivariate HTR, and the simulation results showed that the proposed method had correct pre-specified type-I error rates. The power of the proposed method was largely influenced by the size and source of correlation between variables, being greatest when correlation of a specific gene was opposite in sign to the residual correlation.}, author = {Pei, Y. F. and Zhang, L. and Liu, J. and Deng, H. W.}, citeulike-article-id = {4950528}, citeulike-linkout-0 = {http://dx.doi.org/10.1111/j.1469-1809.2009.00527.x}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/bsc/ahg/2009/00000073/00000004/art00008}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19489754}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19489754}, doi = {10.1111/j.1469-1809.2009.00527.x}, issn = {1469-1809}, journal = {Annals of human genetics}, keywords = {haplotype, mv, stats}, month = {July}, number = {Pt 4}, pages = {456--464}, posted-at = {2009-07-18 10:16:00}, priority = {2}, publisher = {Blackwell Publishing}, title = {Multivariate association test using haplotype trend regression.}, url = {http://dx.doi.org/10.1111/j.1469-1809.2009.00527.x}, volume = {73}, year = {2009} }

TY - JOUR ID - citeulike:4950528 L3 - citeulike-article-id:4950528 N2 - Genetic association analyses with haplotypes may be more powerful than analyses with single markers, under certain conditions. Furthermore, simultaneously considering multiple correlated traits may make use of additional information that would not be considered when analyzing individual traits. In this study, we propose a haplotype based test of association for multivariate quantitative traits in unrelated samples. Specifically, we extend a population based haplotype trend regression (HTR) approach to multivariate scenarios. We mainly focused on bivariate HTR, and the simulation results showed that the proposed method had correct pre-specified type-I error rates. The power of the proposed method was largely influenced by the size and source of correlation between variables, being greatest when correlation of a specific gene was opposite in sign to the residual correlation. IS - Pt 4 JF - Annals of human genetics SN - 1469-1809 EP - 464 TI - Multivariate association test using haplotype trend regression. PB - Blackwell Publishing VL - 73 SP - 456 KW - haplotype KW - mv KW - stats AU - Pei, YF AU - Zhang, L AU - Liu, J AU - Deng, HW PY - 2009/07// UR - http://dx.doi.org/10.1111/j.1469-1809.2009.00527.x ER -