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Items: 1 to 20 of 258

1.

Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region.

Spencer AV, Cox A, Walters K.

Ann Hum Genet. 2014 Jan;78(1):50-61. doi: 10.1111/ahg.12043. Epub 2013 Nov 11.

2.

Weighted SNP set analysis in genome-wide association study.

Dai H, Zhao Y, Qian C, Cai M, Zhang R, Chu M, Dai J, Hu Z, Shen H, Chen F.

PLoS One. 2013 Sep 30;8(9):e75897. doi: 10.1371/journal.pone.0075897. eCollection 2013.

3.

Detection of common single nucleotide polymorphisms synthesizing quantitative trait association of rarer causal variants.

Takeuchi F, Kobayashi S, Ogihara T, Fujioka A, Kato N.

Genome Res. 2011 Jul;21(7):1122-30. doi: 10.1101/gr.115832.110. Epub 2011 Mar 25.

4.

Finding type 2 diabetes causal single nucleotide polymorphism combinations and functional modules from genome-wide association data.

Kang C, Yu H, Yi GS.

BMC Med Inform Decis Mak. 2013;13 Suppl 1:S3. doi: 10.1186/1472-6947-13-S1-S3. Epub 2013 Apr 5.

5.
6.

Strategies for developing prediction models from genome-wide association studies.

Wu J, Pfeiffer RM, Gail MH.

Genet Epidemiol. 2013 Dec;37(8):768-77. doi: 10.1002/gepi.21762. Epub 2013 Oct 25.

PMID:
24166696
7.

A genome-wide association study of venous thromboembolism identifies risk variants in chromosomes 1q24.2 and 9q.

Heit JA, Armasu SM, Asmann YW, Cunningham JM, Matsumoto ME, Petterson TM, De Andrade M.

J Thromb Haemost. 2012 Aug;10(8):1521-31. doi: 10.1111/j.1538-7836.2012.04810.x.

8.

Bivariate association analysis for quantitative traits using generalized estimation equation.

Yang F, Tang Z, Deng H.

J Genet Genomics. 2009 Dec;36(12):733-43. doi: 10.1016/S1673-8527(08)60166-6.

PMID:
20129400
9.

Probability of detecting disease-associated single nucleotide polymorphisms in case-control genome-wide association studies.

Gail MH, Pfeiffer RM, Wheeler W, Pee D.

Biostatistics. 2008 Apr;9(2):201-15. Epub 2007 Sep 14.

PMID:
17873152
10.

Comparison of multimarker logistic regression models, with application to a genomewide scan of schizophrenia.

Wason JM, Dudbridge F.

BMC Genet. 2010 Sep 9;11:80. doi: 10.1186/1471-2156-11-80.

11.

Evaluating the ability of tree-based methods and logistic regression for the detection of SNP-SNP interaction.

García-Magariños M, López-de-Ullibarri I, Cao R, Salas A.

Ann Hum Genet. 2009 May;73(Pt 3):360-9. doi: 10.1111/j.1469-1809.2009.00511.x. Epub 2009 Mar 8.

12.

Accurate prediction of a minimal region around a genetic association signal that contains the causal variant.

Bochdanovits Z, Simón-Sánchez J, Jonker M, Hoogendijk WJ, van der Vaart A, Heutink P.

Eur J Hum Genet. 2014 Feb;22(2):238-42. doi: 10.1038/ejhg.2013.115. Epub 2013 Jun 5.

13.

Joint modeling of linkage and association: identifying SNPs responsible for a linkage signal.

Li M, Boehnke M, Abecasis GR.

Am J Hum Genet. 2005 Jun;76(6):934-49. Epub 2005 Apr 5.

14.

Power-based, phase-informed selection of single nucleotide polymorphisms for disease association screens.

Saccone SF, Rice JP, Saccone NL.

Genet Epidemiol. 2006 Sep;30(6):459-70.

PMID:
16685721
15.

Association test based on SNP set: logistic kernel machine based test vs. principal component analysis.

Zhao Y, Chen F, Zhai R, Lin X, Diao N, Christiani DC.

PLoS One. 2012;7(9):e44978. doi: 10.1371/journal.pone.0044978. Epub 2012 Sep 13.

16.

Re-ranking sequencing variants in the post-GWAS era for accurate causal variant identification.

Faye LL, Machiela MJ, Kraft P, Bull SB, Sun L.

PLoS Genet. 2013;9(8):e1003609. doi: 10.1371/journal.pgen.1003609. Epub 2013 Aug 8.

17.

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.

19.

Variation of gene-based SNPs and linkage disequilibrium patterns in the human genome.

Tsunoda T, Lathrop GM, Sekine A, Yamada R, Takahashi A, Ohnishi Y, Tanaka T, Nakamura Y.

Hum Mol Genet. 2004 Aug 1;13(15):1623-32. Epub 2004 Jun 9.

PMID:
15190013
20.

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.

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