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Items: 1 to 20 of 75

1.

A Classifier-based approach to identify genetic similarities between diseases.

Schaub MA, Kaplow IM, Sirota M, Do CB, Butte AJ, Batzoglou S.

Bioinformatics. 2009 Jun 15;25(12):i21-9. doi: 10.1093/bioinformatics/btp226.

2.

Increasing power of genome-wide association studies by collecting additional single-nucleotide polymorphisms.

Kostem E, Lozano JA, Eskin E.

Genetics. 2011 Jun;188(2):449-60. doi: 10.1534/genetics.111.128595. Epub 2011 Apr 5.

3.

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies.

Wan X, Yang C, Yang Q, Xue H, Fan X, Tang NL, Yu W.

Am J Hum Genet. 2010 Sep 10;87(3):325-40. doi: 10.1016/j.ajhg.2010.07.021.

4.

Pathway analysis of seven common diseases assessed by genome-wide association.

Torkamani A, Topol EJ, Schork NJ.

Genomics. 2008 Nov;92(5):265-72. doi: 10.1016/j.ygeno.2008.07.011. Epub 2008 Sep 16.

5.

Disease liability prediction from large scale genotyping data using classifiers with a reject option.

Quevedo JR, Bahamonde A, Pérez-Enciso M, Luaces O.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Jan-Feb;9(1):88-97. doi: 10.1109/TCBB.2011.44. Epub 2011 Mar 3.

PMID:
21383414
6.

Prediction of disease and phenotype associations from genome-wide association studies.

Lewis SN, Nsoesie E, Weeks C, Qiao D, Zhang L.

PLoS One. 2011;6(11):e27175. doi: 10.1371/journal.pone.0027175. Epub 2011 Nov 4.

7.

1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data.

Huang J, Ellinghaus D, Franke A, Howie B, Li Y.

Eur J Hum Genet. 2012 Jul;20(7):801-5. doi: 10.1038/ejhg.2012.3. Epub 2012 Feb 1.

8.

Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach.

Perry JR, McCarthy MI, Hattersley AT, Zeggini E; Wellcome Trust Case Control Consortium, Weedon MN, Frayling TM.

Diabetes. 2009 Jun;58(6):1463-7. doi: 10.2337/db08-1378. Epub 2009 Feb 27.

9.

Genome-wide searching of rare genetic variants in WTCCC data.

Feng T, Zhu X.

Hum Genet. 2010 Sep;128(3):269-80. doi: 10.1007/s00439-010-0849-9. Epub 2010 Jun 13.

10.

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.

Wan X, Yang C, Yang Q, Xue H, Tang NL, Yu W.

BMC Bioinformatics. 2009 Jan 9;10:13. doi: 10.1186/1471-2105-10-13.

11.

Identifying disease associations via genome-wide association studies.

Huang W, Wang P, Liu Z, Zhang L.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S68. doi: 10.1186/1471-2105-10-S1-S68.

12.

Integrative pathway-based approach for genome-wide association studies: identification of new pathways for rheumatoid arthritis and type 1 diabetes.

Büchel F, Mittag F, Wrzodek C, Zell A, Gasser T, Sharma M.

PLoS One. 2013 Oct 25;8(10):e78577. doi: 10.1371/journal.pone.0078577. eCollection 2013.

13.

Identifying disease related sub-pathways for analysis of genome-wide association studies.

Li C, Han J, Shang D, Li J, Wang Y, Wang Y, Zhang Y, Yao Q, Zhang C, Li K, Li X.

Gene. 2012 Jul 15;503(1):101-9. doi: 10.1016/j.gene.2012.04.051. Epub 2012 Apr 30.

PMID:
22565193
14.

Novel association strategy with copy number variation for identifying new risk Loci of human diseases.

Chen X, Li X, Wang P, Liu Y, Zhang Z, Zhao G, Xu H, Zhu J, Qin X, Chen S, Hu L, Kong X.

PLoS One. 2010 Aug 20;5(8):e12185. doi: 10.1371/journal.pone.0012185.

15.

Detecting two-locus associations allowing for interactions in genome-wide association studies.

Wan X, Yang C, Yang Q, Xue H, Tang NL, Yu W.

Bioinformatics. 2010 Oct 15;26(20):2517-25. doi: 10.1093/bioinformatics/btq486. Epub 2010 Aug 24.

PMID:
20736343
16.
17.

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Wellcome Trust Case Control Consortium.

Nature. 2007 Jun 7;447(7145):661-78.

18.

A genome-wide screen of gene-gene interactions for rheumatoid arthritis susceptibility.

Liu C, Ackerman HH, Carulli JP.

Hum Genet. 2011 May;129(5):473-85. doi: 10.1007/s00439-010-0943-z. Epub 2011 Jan 6.

PMID:
21210282
19.

Using biological networks to search for interacting loci in genome-wide association studies.

Emily M, Mailund T, Hein J, Schauser L, Schierup MH.

Eur J Hum Genet. 2009 Oct;17(10):1231-40. doi: 10.1038/ejhg.2009.15. Epub 2009 Mar 11.

20.

Integrative analysis of genome-wide association studies and gene expression analysis identifies pathways associated with rheumatoid arthritis.

Zhang M, Mu H, Lv H, Duan L, Shang Z, Li J, Jiang Y, Zhang R.

Oncotarget. 2016 Feb 23;7(8):8580-9. doi: 10.18632/oncotarget.7390.

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