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Items: 1 to 20 of 260

1.

Gene-based multiple trait analysis for exome sequencing data.

Zhao J, Thalamuthu A.

BMC Proc. 2011 Nov 29;5 Suppl 9:S75. doi: 10.1186/1753-6561-5-S9-S75.

2.
3.

Association tests for rare and common variants based on genotypic and phenotypic measures of similarity between individuals.

Thalamuthu A, Zhao J, Keong GT, Kondragunta V, Mukhopadhyay I.

BMC Proc. 2011 Nov 29;5 Suppl 9:S89. doi: 10.1186/1753-6561-5-S9-S89.

4.

Utilizing mutual information for detecting rare and common variants associated with a categorical trait.

Sun L, Wang C, Hu YQ.

PeerJ. 2016 Jun 16;4:e2139. doi: 10.7717/peerj.2139. eCollection 2016.

5.

Rare variant association test with multiple phenotypes.

Lee S, Won S, Kim YJ, Kim Y; T2D-Genes Consortium., Kim BJ, Park T.

Genet Epidemiol. 2017 Apr;41(3):198-209. doi: 10.1002/gepi.22021. Epub 2016 Dec 31.

PMID:
28039885
6.

Identifying rare variants associated with complex traits via sequencing.

Li B, Liu DJ, Leal SM.

Curr Protoc Hum Genet. 2013 Jul;Chapter 1:Unit 1.26. doi: 10.1002/0471142905.hg0126s78. Review.

7.

Weighted selective collapsing strategy for detecting rare and common variants in genetic association study.

Dai Y, Jiang R, Dong J.

BMC Genet. 2012 Feb 6;13:7. doi: 10.1186/1471-2156-13-7.

8.

Sequence kernel association tests for the combined effect of rare and common variants.

Ionita-Laza I, Lee S, Makarov V, Buxbaum JD, Lin X.

Am J Hum Genet. 2013 Jun 6;92(6):841-53. doi: 10.1016/j.ajhg.2013.04.015. Epub 2013 May 16.

9.

Combining effects from rare and common genetic variants in an exome-wide association study of sequence data.

Aschard H, Qiu W, Pasaniuc B, Zaitlen N, Cho MH, Carey V.

BMC Proc. 2011 Nov 29;5 Suppl 9:S44. doi: 10.1186/1753-6561-5-S9-S44.

10.

Functional analysis of variance for association studies.

Vsevolozhskaya OA, Zaykin DV, Greenwood MC, Wei C, Lu Q.

PLoS One. 2014 Sep 22;9(9):e105074. doi: 10.1371/journal.pone.0105074. eCollection 2014.

11.

A powerful and adaptive association test for rare variants.

Pan W, Kim J, Zhang Y, Shen X, Wei P.

Genetics. 2014 Aug;197(4):1081-95. doi: 10.1534/genetics.114.165035. Epub 2014 May 15.

12.

Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data.

Kim J, Zhang Y, Pan W; Alzheimer's Disease Neuroimaging Initiative..

Genetics. 2016 Jun;203(2):715-31. doi: 10.1534/genetics.115.186502. Epub 2016 Apr 13.

PMID:
27075728
13.

Powerful association test combining rare variant and gene expression using family data from Genetic Analysis Workshop 19.

Ho YY, Guan W, O'Connell M, Basu S.

BMC Proc. 2016 Oct 18;10(Suppl 7):251-255. eCollection 2016.

14.

Joint Analysis of Multiple Traits in Rare Variant Association Studies.

Wang Z, Wang X, Sha Q, Zhang S.

Ann Hum Genet. 2016 May;80(3):162-71. doi: 10.1111/ahg.12149. Epub 2016 Mar 16.

PMID:
26990300
15.

Pathway-based approaches for sequencing-based genome-wide association studies.

Wu G, Zhi D.

Genet Epidemiol. 2013 Jul;37(5):478-94. doi: 10.1002/gepi.21728. Epub 2013 May 5.

16.
17.

Rare-variant association testing for sequencing data with the sequence kernel association test.

Wu MC, Lee S, Cai T, Li Y, Boehnke M, Lin X.

Am J Hum Genet. 2011 Jul 15;89(1):82-93. doi: 10.1016/j.ajhg.2011.05.029. Epub 2011 Jul 7.

18.

Joint analyses of disease and correlated quantitative phenotypes using next-generation sequencing data.

Melton PE, Pankratz N.

Genet Epidemiol. 2011;35 Suppl 1:S67-73. doi: 10.1002/gepi.20653.

PMID:
22128062
19.

Association studies for next-generation sequencing.

Luo L, Boerwinkle E, Xiong M.

Genome Res. 2011 Jul;21(7):1099-108. doi: 10.1101/gr.115998.110. Epub 2011 Apr 26.

20.

An aggregating U-Test for a genetic association study of quantitative traits.

Li M, Fu W, Lu Q.

BMC Proc. 2011 Nov 29;5 Suppl 9:S23. doi: 10.1186/1753-6561-5-S9-S23.

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