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Items: 1 to 20 of 67


Genome-Wide Analysis of Gene-Gene and Gene-Environment Interactions Using Closed-Form Wald Tests.

Yu Z, Demetriou M, Gillen DL.

Genet Epidemiol. 2015 Sep;39(6):446-55. doi: 10.1002/gepi.21907. Epub 2015 Jun 10.


Bridging the gap between statistical and biological epistasis in Alzheimer's disease.

Ebbert MT, Ridge PG, Kauwe JS.

Biomed Res Int. 2015;2015:870123. doi: 10.1155/2015/870123. Epub 2015 May 17. Review.


Fast and robust group-wise eQTL mapping using sparse graphical models.

Cheng W, Shi Y, Zhang X, Wang W.

BMC Bioinformatics. 2015 Jan 16;16:2. doi: 10.1186/s12859-014-0421-z.


Oxidant stress regulatory genetic variation in recipients and donors contributes to risk of primary graft dysfunction after lung transplantation.

Cantu E, Shah RJ, Lin W, Daye ZJ, Diamond JM, Suzuki Y, Ellis JH, Borders CF, Andah GA, Beduhn B, Meyer NJ, Ruschefski M, Aplenc R, Feng R, Christie JD; Lung Transplant Outcomes Group Investigators.

J Thorac Cardiovasc Surg. 2015 Feb;149(2):596-602. doi: 10.1016/j.jtcvs.2014.09.077. Epub 2014 Sep 28.


Graph-regularized dual Lasso for robust eQTL mapping.

Cheng W, Zhang X, Guo Z, Shi Y, Wang W.

Bioinformatics. 2014 Jun 15;30(12):i139-48. doi: 10.1093/bioinformatics/btu293.


AprioriGWAS, a new pattern mining strategy for detecting genetic variants associated with disease through interaction effects.

Zhang Q, Long Q, Ott J.

PLoS Comput Biol. 2014 Jun 5;10(6):e1003627. doi: 10.1371/journal.pcbi.1003627. eCollection 2014 Jun.


An omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies.

Setsirichok D, Tienboon P, Jaroonruang N, Kittichaijaroen S, Wongseree W, Piroonratana T, Usavanarong T, Limwongse C, Aporntewan C, Phadoongsidhi M, Chaiyaratana N.

Springerplus. 2013 May 19;2:230. doi: 10.1186/2193-1801-2-230. eCollection 2013.


A prostate cancer model build by a novel SVM-ID3 hybrid feature selection method using both genotyping and phenotype data from dbGaP.

Yücebaş SC, Aydın Son Y.

PLoS One. 2014 Mar 20;9(3):e91404. doi: 10.1371/journal.pone.0091404. eCollection 2014. Erratum in: PLoS One. 2014;9(12):e114956.


A genome-wide gene-gene interaction analysis identifies an epistatic gene pair for lung cancer susceptibility in Han Chinese.

Chu M, Zhang R, Zhao Y, Wu C, Guo H, Zhou B, Lu J, Shi Y, Dai J, Jin G, Ma H, Dong J, Wei Y, Wang C, Gong J, Sun C, Zhu M, Qiu Y, Wu T, Hu Z, Lin D, Shen H, Chen F.

Carcinogenesis. 2014 Mar;35(3):572-7. doi: 10.1093/carcin/bgt400. Epub 2013 Dec 9.


A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.

Koo CL, Liew MJ, Mohamad MS, Salleh AH.

Biomed Res Int. 2013;2013:432375. doi: 10.1155/2013/432375. Epub 2013 Oct 21.


An epistatic interaction between the PAX8 and STK17B genes in papillary thyroid cancer susceptibility.

Landa I, Boullosa C, Inglada-Pérez L, Sastre-Perona A, Pastor S, Velázquez A, Mancikova V, Ruiz-Llorente S, Schiavi F, Marcos R, Malats N, Opocher G, Diaz-Uriarte R, Santisteban P, Valencia A, Robledo M.

PLoS One. 2013 Sep 23;8(9):e74765. doi: 10.1371/journal.pone.0074765. eCollection 2013. Erratum in: PLoS One. 2013;8(10). doi:10.1371/annotation/cd94c3eb-70f2-4dfa-85be-b3fc41e495c3.


Construction of gene clusters resembling genetic causal mechanisms for common complex disease with an application to young-onset hypertension.

Lynn KS, Lu CH, Yang HY, Hsu WL, Pan WH.

BMC Genomics. 2013 Jul 23;14:497. doi: 10.1186/1471-2164-14-497.


Identification of multiple gene-gene interactions for ordinal phenotypes.

Kim K, Kwon MS, Oh S, Park T.

BMC Med Genomics. 2013;6 Suppl 2:S9. doi: 10.1186/1755-8794-6-S2-S9. Epub 2013 May 7.


Improved branch and bound algorithm for detecting SNP-SNP interactions in breast cancer.

Chuang LY, Chang HW, Lin MC, Yang CH.

J Clin Bioinforma. 2013 Feb 14;3(1):4. doi: 10.1186/2043-9113-3-4.


Chapter 10: Mining genome-wide genetic markers.

Zhang X, Huang S, Zhang Z, Wang W.

PLoS Comput Biol. 2012;8(12):e1002828. doi: 10.1371/journal.pcbi.1002828. Epub 2012 Dec 27.


iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies.

Piriyapongsa J, Ngamphiw C, Intarapanich A, Kulawonganunchai S, Assawamakin A, Bootchai C, Shaw PJ, Tongsima S.

BMC Genomics. 2012;13 Suppl 7:S2. doi: 10.1186/1471-2164-13-S7-S2. Epub 2012 Dec 13.


Genetic studies of complex human diseases: characterizing SNP-disease associations using Bayesian networks.

Han B, Chen XW, Talebizadeh Z, Xu H.

BMC Syst Biol. 2012;6 Suppl 3:S14. doi: 10.1186/1752-0509-6-S3-S14. Epub 2012 Dec 17.


Interpreting noncoding genetic variation in complex traits and human disease.

Ward LD, Kellis M.

Nat Biotechnol. 2012 Nov;30(11):1095-106. doi: 10.1038/nbt.2422. Epub 2012 Nov 8. Review.


A knowledge-based method for association studies on complex diseases.

Nazarian A, Sichtig H, Riva A.

PLoS One. 2012;7(9):e44162. doi: 10.1371/journal.pone.0044162. Epub 2012 Sep 6.


SNP-set analysis replicates acute lung injury genetic risk factors.

Meyer NJ, Daye ZJ, Rushefski M, Aplenc R, Lanken PN, Shashaty MG, Christie JD, Feng R.

BMC Med Genet. 2012 Jun 28;13:52. doi: 10.1186/1471-2350-13-52.

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