Set‐based tests for genetic association in longitudinal studies
dc.contributor.author | He, Zihuai | en_US |
dc.contributor.author | Zhang, Min | en_US |
dc.contributor.author | Lee, Seunggeun | en_US |
dc.contributor.author | Smith, Jennifer A. | en_US |
dc.contributor.author | Guo, Xiuqing | en_US |
dc.contributor.author | Palmas, Walter | en_US |
dc.contributor.author | Kardia, Sharon L. R. | en_US |
dc.contributor.author | Roux, Ana V. Diez | en_US |
dc.contributor.author | Mukherjee, Bhramar | en_US |
dc.date.accessioned | 2015-10-07T20:43:17Z | |
dc.date.available | 2016-10-10T14:50:23Z | en |
dc.date.issued | 2015-09 | en_US |
dc.identifier.citation | He, Zihuai; Zhang, Min; Lee, Seunggeun; Smith, Jennifer A.; Guo, Xiuqing; Palmas, Walter; Kardia, Sharon L. R.; Roux, Ana V. Diez; Mukherjee, Bhramar (2015). "Set‐based tests for genetic association in longitudinal studies." Biometrics 71(3): 606-615. | en_US |
dc.identifier.issn | 0006-341X | en_US |
dc.identifier.issn | 1541-0420 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/113774 | |
dc.publisher | Wiley Periodicals, Inc. | en_US |
dc.subject.other | Random field | en_US |
dc.subject.other | Generalized score test | en_US |
dc.subject.other | Genetic association | en_US |
dc.subject.other | Generalized estimating equations | en_US |
dc.subject.other | Longitudinal study | en_US |
dc.subject.other | Multi‐marker test | en_US |
dc.title | Set‐based tests for genetic association in longitudinal studies | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/113774/1/biom12310.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/113774/2/biom12310-sup-0001-SuppData.pdf | |
dc.identifier.doi | 10.1111/biom.12310 | en_US |
dc.identifier.source | Biometrics | en_US |
dc.identifier.citedreference | Lin, X., Lee, S., Christiani, D. C., and Lin, X. ( 2013 ). Test for the interaction between a genetic marker set and environment in generalized linear models. Biostatistics 14, 667 – 681. | en_US |
dc.identifier.citedreference | Adler, R. J. and Taylor, J. E. ( 2007 ). Random Fields and Geometry. New York: Springer. | en_US |
dc.identifier.citedreference | Besag, J. ( 1974 ). Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society, Series B 36, 192 – 236. | en_US |
dc.identifier.citedreference | Bild, D. E., Bluemke, D. A., Burke, G. L., Detrano, R., Roux, A. V. D., Folsom, A. R., et al. ( 2002 ). Multi‐ethnic study of atherosclerosis: objectives and design. American Journal of Epidemiology 156, 871 – 881. | en_US |
dc.identifier.citedreference | Boos, D. D. ( 1992 ). On generalized score tests. The American Statistician 46, 327 – 333. | en_US |
dc.identifier.citedreference | Cui, J. S., Hopper, J. L., and Harrap, S. B. ( 2003 ). Antihypertensive treatments obscure familial contributions to blood pressure variation. Hypertension 41, 207 – 210. | en_US |
dc.identifier.citedreference | Cressie, N. ( 1993 ). Statistics for Spatial Data. New York: Wiley. | en_US |
dc.identifier.citedreference | Davies, R. ( 1980 ). The distribution of a linear combination of chi‐square random variables. Applied Statistics 29, 323 – 333. | en_US |
dc.identifier.citedreference | Fan, R., Zhang, Y., Albert, P., Liu, A., Wang, Y., and Xiong, M. ( 2012 ). Longitudinal association analysis of quantitative traits. Genetic Epidemiology, doi: 10.1002/gepi.21673. | en_US |
dc.identifier.citedreference | Fitzmaurice, G. M., Laird, N. M., and Ware, J. H. ( 2011 ). Applied Longitudinal Analysis, 2nd edition. Hoboken, NJ: John Wiley & Sons. | en_US |
dc.identifier.citedreference | Furlotte, N., Eskin, E., and Eyheramendy, S. ( 2012 ). Genome‐wide association mapping with longitudinal data. Genetic Epidemiology 36, 463 – 471. | en_US |
dc.identifier.citedreference | He, Z., Zhang, M., Zhan, X., and Lu, Q. ( 2014 ). Modeling and testing for joint association using a genetic random field model. Biometrics, doi: 10.1111/biom.12160. | en_US |
dc.identifier.citedreference | International Consortium for Blood Pressure Genome‐Wide Association Studies ( 2011 ). Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 478, 103 – 109. | en_US |
dc.identifier.citedreference | Li, M., He, Z., Zhang, M., Zhan, X., Wei, C., Elston, R. C., and Lu, Q. ( 2014 ). A generalized genetic random field method for the genetic association analysis of sequencing data. Genetic Epidemiology 38, 242 – 253. | en_US |
dc.identifier.citedreference | Marchini, J., Howie, B., Myers, S., McVean, G., and Donnelly, P. ( 2007 ). A new multipoint method for genome‐wide association studies by imputation of genotypes. Nature Genetics 39, 906 – 913. | en_US |
dc.identifier.citedreference | Morris, A. P. and Zeggini, E. ( 2010 ). An evaluation of statistical approaches to rare variant analysis in genetic association studies. Genetic Epidemiology 34, 188 – 193. | en_US |
dc.identifier.citedreference | Qu, A., Lindsay, B. G., and Li, B. ( 2000 ). Improving generalised estimating equations using quadratic inference functions. Biometrika 87, 823 – 836. | en_US |
dc.identifier.citedreference | Stefanski, L. A. and Boos, D. D. ( 2002 ). The calculus of M‐estimation. The American Statistician 56, 29 – 38. | en_US |
dc.identifier.citedreference | Tzeng, J. Y., Zhang, D., Chang, S. M., Thomas, D. C., and Davidian, M. ( 2009 ). Gene‐trait similarity regression for multimarker‐based association analysis. Biometrics 65, 822 – 832. | en_US |
dc.identifier.citedreference | Wu, M. C., Lee, S., Cai, T., Li, Y., Boehnke, M., and Lin, X. ( 2011 ). Rare‐variant association testing for sequencing data with the sequence kernel association test. The American Journal of Human Genetics 89, 82 – 93. | en_US |
dc.identifier.citedreference | Yang, J., Lee, S. H., Goddard, M. E., and Visscher, P. M. ( 2011 ). GCTA: A tool for genome‐wide complex trait analysis. American Journal of Human Genetics 88, 76 – 82. | en_US |
dc.identifier.citedreference | Zeger, S. L. and Liang, K. Y. ( 1986 ). Longitudinal data analysis for discrete and continuous outcomes. Biometrics 121 – 130. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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