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Items: 1 to 20 of 106

1.

A partially linear tree-based regression model for multivariate outcomes.

Yu K, Wheeler W, Li Q, Bergen AW, Caporaso N, Chatterjee N, Chen J.

Biometrics. 2010 Mar;66(1):89-96. doi: 10.1111/j.1541-0420.2009.01235.x.

2.

Multivariate phenotype association analysis by marker-set kernel machine regression.

Maity A, Sullivan PF, Tzeng JY.

Genet Epidemiol. 2012 Nov;36(7):686-95. doi: 10.1002/gepi.21663.

3.

Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.

Yan Q, Weeks DE, Celedón JC, Tiwari HK, Li B, Wang X, Lin WY, Lou XY, Gao G, Chen W, Liu N.

Genetics. 2015 Dec;201(4):1329-39. doi: 10.1534/genetics.115.178590.

4.

Pleiotropy analysis of quantitative traits at gene level by multivariate functional linear models.

Wang Y, Liu A, Mills JL, Boehnke M, Wilson AF, Bailey-Wilson JE, Xiong M, Wu CO, Fan R.

Genet Epidemiol. 2015 May;39(4):259-75. doi: 10.1002/gepi.21895.

5.

An Effective Method to Identify Heritable Components from Multivariate Phenotypes.

Sun J, Kranzler HR, Bi J.

PLoS One. 2015 Dec 14;10(12):e0144418. doi: 10.1371/journal.pone.0144418.

6.

Modeling and testing for joint association using a genetic random field model.

He Z, Zhang M, Zhan X, Lu Q.

Biometrics. 2014 Sep;70(3):471-9. doi: 10.1111/biom.12160.

7.

An efficient genome-wide association test for multivariate phenotypes based on the Fisher combination function.

Yang JJ, Li J, Williams LK, Buu A.

BMC Bioinformatics. 2016 Jan 5;17:19. doi: 10.1186/s12859-015-0868-6.

8.

A Sequence Kernel Association Test for Dichotomous Traits in Family Samples under a Generalized Linear Mixed Model.

Yan Q, Tiwari HK, Yi N, Gao G, Zhang K, Lin WY, Lou XY, Cui X, Liu N.

Hum Hered. 2015;79(2):60-8. doi: 10.1159/000375409.

9.

Multivariate association test using haplotype trend regression.

Pei YF, Zhang L, Liu J, Deng HW.

Ann Hum Genet. 2009 Jul;73(Pt 4):456-64. doi: 10.1111/j.1469-1809.2009.00527.x.

10.

Statistical estimation of correlated genome associations to a quantitative trait network.

Kim S, Xing EP.

PLoS Genet. 2009 Aug;5(8):e1000587. doi: 10.1371/journal.pgen.1000587.

11.

A family-based robust multivariate association test using maximum statistic.

Hsieh TJ, Chang SH, Tai JJ.

Ann Hum Genet. 2014 Mar;78(2):117-28. doi: 10.1111/ahg.12054.

12.

Principal-component-based multivariate regression for genetic association studies of metabolic syndrome components.

Mei H, Chen W, Dellinger A, He J, Wang M, Yau C, Srinivasan SR, Berenson GS.

BMC Genet. 2010 Nov 9;11:100. doi: 10.1186/1471-2156-11-100.

13.

TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies.

van der Sluis S, Posthuma D, Dolan CV.

PLoS Genet. 2013;9(1):e1003235. doi: 10.1371/journal.pgen.1003235.

14.

Semiparametric Allelic Tests for Mapping Multiple Phenotypes: Binomial Regression and Mahalanobis Distance.

Majumdar A, Witte JS, Ghosh S.

Genet Epidemiol. 2015 Dec;39(8):635-50. doi: 10.1002/gepi.21930.

15.

Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model.

Jiang J, Zhang Q, Ma L, Li J, Wang Z, Liu JF.

Heredity (Edinb). 2015 Jul;115(1):29-36. doi: 10.1038/hdy.2015.9.

16.

A partially linear tree-based regression model for assessing complex joint gene-gene and gene-environment effects.

Chen J, Yu K, Hsing A, Therneau TM.

Genet Epidemiol. 2007 Apr;31(3):238-51.

PMID:
17266115
17.

Genome-wide association analysis for multiple continuous secondary phenotypes.

Schifano ED, Li L, Christiani DC, Lin X.

Am J Hum Genet. 2013 May 2;92(5):744-59. doi: 10.1016/j.ajhg.2013.04.004.

18.

Test for interactions between a genetic marker set and environment in generalized linear models.

Lin X, Lee S, Christiani DC, Lin X.

Biostatistics. 2013 Sep;14(4):667-81. doi: 10.1093/biostatistics/kxt006.

19.
20.

Regression-based approach for testing the association between multi-region haplotype configuration and complex trait.

Hu Y, Jason S, Wang Q, Pan Y, Zhang X, Zhao H, Li C, Sun L.

BMC Genet. 2009 Sep 17;10:56. doi: 10.1186/1471-2156-10-56.

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