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Items: 1 to 20 of 158

1.

PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes.

Ried JS, Döring A, Oexle K, Meisinger C, Winkelmann J, Klopp N, Meitinger T, Peters A, Suhre K, Wichmann HE, Gieger C.

Genet Epidemiol. 2012 Apr;36(3):244-52. doi: 10.1002/gepi.21617.

PMID:
22714936
2.

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. Epub 2013 Jan 24.

3.

Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses.

Ried JS, Shin SY, Krumsiek J, Illig T, Theis FJ, Spector TD, Adamski J, Wichmann HE, Strauch K, Soranzo N, Suhre K, Gieger C.

Hum Mol Genet. 2014 Nov 1;23(21):5847-57. doi: 10.1093/hmg/ddu301. Epub 2014 Jun 13.

4.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

5.

CONAN: copy number variation analysis software for genome-wide association studies.

Forer L, Schönherr S, Weissensteiner H, Haider F, Kluckner T, Gieger C, Wichmann HE, Specht G, Kronenberg F, Kloss-Brandstätter A.

BMC Bioinformatics. 2010 Jun 14;11:318. doi: 10.1186/1471-2105-11-318.

6.

Detecting sample misidentifications in genetic association studies.

Ekstrøm CT, Feenstra B.

Stat Appl Genet Mol Biol. 2012;11(3):Article 13.

PMID:
22611595
7.

Analyze multivariate phenotypes in genetic association studies by combining univariate association tests.

Yang Q, Wu H, Guo CY, Fox CS.

Genet Epidemiol. 2010 Jul;34(5):444-54. doi: 10.1002/gepi.20497.

8.

Software engineering the mixed model for genome-wide association studies on large samples.

Zhang Z, Buckler ES, Casstevens TM, Bradbury PJ.

Brief Bioinform. 2009 Nov;10(6):664-75. doi: 10.1093/bib/bbp050. Review.

9.

GWAS analyzer: integrating genotype, phenotype and public annotation data for genome-wide association study analysis.

Fong C, Ko DC, Wasnick M, Radey M, Miller SI, Brittnacher M.

Bioinformatics. 2010 Feb 15;26(4):560-4. doi: 10.1093/bioinformatics/btp714. Epub 2010 Jan 6.

10.

Fast and accurate imputation of summary statistics enhances evidence of functional enrichment.

Pasaniuc B, Zaitlen N, Shi H, Bhatia G, Gusev A, Pickrell J, Hirschhorn J, Strachan DP, Patterson N, Price AL.

Bioinformatics. 2014 Oct 15;30(20):2906-14. doi: 10.1093/bioinformatics/btu416. Epub 2014 Jul 1.

11.

MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.

O'Reilly PF, Hoggart CJ, Pomyen Y, Calboli FC, Elliott P, Jarvelin MR, Coin LJ.

PLoS One. 2012;7(5):e34861. doi: 10.1371/journal.pone.0034861. Epub 2012 May 2.

12.

Design considerations for genetic linkage and association studies.

Nsengimana J, Bishop DT.

Methods Mol Biol. 2012;850:237-62. doi: 10.1007/978-1-61779-555-8_13.

PMID:
22307702
13.

A versatile gene-based test for genome-wide association studies.

Liu JZ, McRae AF, Nyholt DR, Medland SE, Wray NR, Brown KM; AMFS Investigators, Hayward NK, Montgomery GW, Visscher PM, Martin NG, Macgregor S.

Am J Hum Genet. 2010 Jul 9;87(1):139-45. doi: 10.1016/j.ajhg.2010.06.009.

14.

i-GSEA4GWAS: a web server for identification of pathways/gene sets associated with traits by applying an improved gene set enrichment analysis to genome-wide association study.

Zhang K, Cui S, Chang S, Zhang L, Wang J.

Nucleic Acids Res. 2010 Jul;38(Web Server issue):W90-5. doi: 10.1093/nar/gkq324. Epub 2010 Apr 30.

15.

GWAMA: software for genome-wide association meta-analysis.

Mägi R, Morris AP.

BMC Bioinformatics. 2010 May 28;11:288. doi: 10.1186/1471-2105-11-288.

16.

GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies.

Holden M, Deng S, Wojnowski L, Kulle B.

Bioinformatics. 2008 Dec 1;24(23):2784-5. doi: 10.1093/bioinformatics/btn516. Epub 2008 Oct 14.

17.

Gene-based tests of association.

Huang H, Chanda P, Alonso A, Bader JS, Arking DE.

PLoS Genet. 2011 Jul;7(7):e1002177. doi: 10.1371/journal.pgen.1002177. Epub 2011 Jul 28.

18.

[Genome-wide association study on complex diseases: genetic statistical issues].

Yan WL.

Yi Chuan. 2008 May;30(5):543-9. Review. Chinese.

PMID:
18487142
19.

Strategies for pathway analysis from GWAS data.

Yaspan BL, Veatch OJ.

Curr Protoc Hum Genet. 2011 Oct;Chapter 1:Unit1.20. doi: 10.1002/0471142905.hg0120s71.

PMID:
21975938
20.

Practical issues in genome-wide association studies for physical activity.

Kim J, Oh S, Min H, Kim Y, Park T.

Ann N Y Acad Sci. 2011 Jul;1229:38-44. doi: 10.1111/j.1749-6632.2011.06102.x. Review.

PMID:
21793837
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