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Items: 1 to 20 of 50

1.

Gene size matters.

Mirina A, Atzmon G, Ye K, Bergman A.

PLoS One. 2012;7(11):e49093. doi: 10.1371/journal.pone.0049093. Epub 2012 Nov 9.

2.

A rapid gene-based genome-wide association test with multivariate traits.

Basu S, Zhang Y, Ray D, Miller MB, Iacono WG, McGue M.

Hum Hered. 2013;76(2):53-63. doi: 10.1159/000356016. Epub 2013 Nov 13.

3.

Local ancestry corrects for population structure in Saccharomyces cerevisiae genome-wide association studies.

Diao L, Chen KC.

Genetics. 2012 Dec;192(4):1503-11. doi: 10.1534/genetics.112.144790. Epub 2012 Sep 28. Erratum in: Genetics. 2013 Nov;195(3):1197.

4.

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. Epub 2013 Mar 5.

5.

An examination of single nucleotide polymorphism selection prioritization strategies for tests of gene-gene interaction.

Moskvina V, Craddock N, Müller-Myhsok B, Kam-Thong T, Green E, Holmans P, Owen MJ, O'Donovan MC.

Biol Psychiatry. 2011 Jul 15;70(2):198-203. doi: 10.1016/j.biopsych.2011.01.034. Epub 2011 Apr 9.

6.

Hidden Markov models for controlling false discovery rate in genome-wide association analysis.

Wei Z.

Methods Mol Biol. 2012;802:337-44. doi: 10.1007/978-1-61779-400-1_22.

PMID:
22130891
7.

SNP-based pathway enrichment analysis for genome-wide association studies.

Weng L, Macciardi F, Subramanian A, Guffanti G, Potkin SG, Yu Z, Xie X.

BMC Bioinformatics. 2011 Apr 15;12:99. doi: 10.1186/1471-2105-12-99.

8.

A new method for post Genome-Wide Association Study (GWAS) analysis of colorectal cancer in Taiwan.

Wang HM, Chang TH, Lin FM, Chao TH, Huang WC, Liang C, Chu CF, Chiu CM, Wu WY, Chen MC, Weng CT, Weng SL, Chiang FF, Huang HD.

Gene. 2013 Apr 10;518(1):107-13. doi: 10.1016/j.gene.2012.11.067. Epub 2012 Dec 20.

PMID:
23262349
9.

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
10.

A two-stage random forest-based pathway analysis method.

Chung RH, Chen YE.

PLoS One. 2012;7(5):e36662. doi: 10.1371/journal.pone.0036662. Epub 2012 May 7.

11.

A Markov blanket-based method for detecting causal SNPs in GWAS.

Han B, Park M, Chen XW.

BMC Bioinformatics. 2010 Apr 29;11 Suppl 3:S5. doi: 10.1186/1471-2105-11-S3-S5.

12.

A novel kernel for correcting size bias in the logistic kernel machine test with an application to rheumatoid arthritis.

Freytag S, Bickeböller H, Amos CI, Kneib T, Schlather M.

Hum Hered. 2012;74(2):97-108. doi: 10.1159/000347188. Epub 2013 Mar 1.

13.

Is catechol-O-methyl transferase 472G/A gene polymorphism a marker associated with alcoholism?

Zintzaras E.

Psychiatr Genet. 2011 Feb;21(1):29-36. doi: 10.1097/YPG.0b013e3283413615.

PMID:
21048527
14.

Pathway-based analysis using reduced gene subsets in genome-wide association studies.

Zhao J, Gupta S, Seielstad M, Liu J, Thalamuthu A.

BMC Bioinformatics. 2011 Jan 12;12:17. doi: 10.1186/1471-2105-12-17.

15.

On optimal gene-based analysis of genome scans.

Bacanu SA.

Genet Epidemiol. 2012 May;36(4):333-9. doi: 10.1002/gepi.21625. Epub 2012 Apr 16.

PMID:
22508187
16.

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.

Hong H, Su Z, Ge W, Shi L, Perkins R, Fang H, Xu J, Chen JJ, Han T, Kaput J, Fuscoe JC, Tong W.

BMC Bioinformatics. 2008 Aug 12;9 Suppl 9:S17. doi: 10.1186/1471-2105-9-S9-S17.

17.

Genome-wide pathway analysis of genome-wide association studies on systemic lupus erythematosus and rheumatoid arthritis.

Lee YH, Bae SC, Choi SJ, Ji JD, Song GG.

Mol Biol Rep. 2012 Dec;39(12):10627-35. doi: 10.1007/s11033-012-1952-x. Epub 2012 Oct 7.

PMID:
23053960
18.

Shrunken methodology to genome-wide SNPs selection and construction of SNPs networks.

Liu Y, Ng M.

BMC Syst Biol. 2010 Sep 13;4 Suppl 2:S5. doi: 10.1186/1752-0509-4-S2-S5.

19.

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.

20.

Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studies.

Hong H, Su Z, Ge W, Shi L, Perkins R, Fang H, Mendrick D, Tong W.

J Genet. 2010 Apr;89(1):55-64.

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