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Items: 1 to 20 of 149

1.

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.

2.

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.

3.

IndOR: a new statistical procedure to test for SNP-SNP epistasis in genome-wide association studies.

Emily M.

Stat Med. 2012 Sep 20;31(21):2359-73. doi: 10.1002/sim.5364. Epub 2012 Jun 18.

PMID:
22711278
4.

GLIDE: GPU-based linear regression for detection of epistasis.

Kam-Thong T, Azencott CA, Cayton L, Pütz B, Altmann A, Karbalai N, Sämann PG, Schölkopf B, Müller-Myhsok B, Borgwardt KM.

Hum Hered. 2012;73(4):220-36. Epub 2012 Sep 4.

5.

Genome-wide association study of rheumatoid arthritis in the Spanish population: KLF12 as a risk locus for rheumatoid arthritis susceptibility.

Julià A, Ballina J, Cañete JD, Balsa A, Tornero-Molina J, Naranjo A, Alperi-López M, Erra A, Pascual-Salcedo D, Barceló P, Camps J, Marsal S.

Arthritis Rheum. 2008 Aug;58(8):2275-86. doi: 10.1002/art.23623. Erratum in: Arthritis Rheum. 2008 Sep;58(9):2823. Arthritis Rheum. 2008 Oct;58(10):3276.

6.

RS-SNP: a random-set method for genome-wide association studies.

D'Addabbo A, Palmieri O, Latiano A, Annese V, Mukherjee S, Ancona N.

BMC Genomics. 2011 Mar 30;12:166. doi: 10.1186/1471-2164-12-166.

7.

Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

Wongseree W, Assawamakin A, Piroonratana T, Sinsomros S, Limwongse C, Chaiyaratana N.

BMC Bioinformatics. 2009 Sep 17;10:294. doi: 10.1186/1471-2105-10-294.

8.

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.

9.

Epistasis between Toll-like receptor-9 polymorphisms and variants in NOD2 and IL23R modulates susceptibility to Crohn's disease.

Török HP, Glas J, Endres I, Tonenchi L, Teshome MY, Wetzke M, Klein W, Lohse P, Ochsenkühn T, Folwaczny M, Göke B, Folwaczny C, Müller-Myhsok B, Brand S.

Am J Gastroenterol. 2009 Jul;104(7):1723-33. doi: 10.1038/ajg.2009.184. Epub 2009 May 19.

PMID:
19455129
10.

GWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS.

Goudey B, Rawlinson D, Wang Q, Shi F, Ferra H, Campbell RM, Stern L, Inouye MT, Ong CS, Kowalczyk A.

BMC Genomics. 2013;14 Suppl 3:S10. doi: 10.1186/1471-2164-14-S3-S10. Epub 2013 May 28.

11.

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.

12.

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
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.

Exploration of empirical Bayes hierarchical modeling for the analysis of genome-wide association study data.

Heron EA, O'Dushlaine C, Segurado R, Gallagher L, Gill M.

Biostatistics. 2011 Jul;12(3):445-61. doi: 10.1093/biostatistics/kxq072. Epub 2011 Jan 20.

PMID:
21252078
15.

Definition of arthritis candidate risk genes by combining rat linkage-mapping results with human case-control association data.

Bäckdahl L, Guo JP, Jagodic M, Becanovic K, Ding B, Olsson T, Lorentzen JC.

Ann Rheum Dis. 2009 Dec;68(12):1925-32. doi: 10.1136/ard.2008.090803. Epub 2008 Dec 9.

PMID:
19066175
16.

AGGrEGATOr: A Gene-based GEne-Gene interActTiOn test for case-control association studies.

Emily M.

Stat Appl Genet Mol Biol. 2016 Apr;15(2):151-71. doi: 10.1515/sagmb-2015-0074.

PMID:
26913459
17.

Predictive rule inference for epistatic interaction detection in genome-wide association studies.

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

Bioinformatics. 2010 Jan 1;26(1):30-7. doi: 10.1093/bioinformatics/btp622. Epub 2009 Oct 30.

PMID:
19880365
18.

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
19.

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.

20.

A novel approach to detect cumulative genetic effects and genetic interactions in Crohn's disease.

Wang MH, Fiocchi C, Ripke S, Zhu X, Duerr RH, Achkar JP.

Inflamm Bowel Dis. 2013 Aug;19(9):1799-808. doi: 10.1097/MIB.0b013e31828706a0.

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