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Items: 1 to 20 of 98

1.

Novel rank-based approaches for discovery and replication in genome-wide association studies.

Kuo CL, Zaykin DV.

Genetics. 2011 Sep;189(1):329-40. doi: 10.1534/genetics.111.130542. Epub 2011 Jul 29. Erratum in: Genetics. 2011 Oct;189(2):681.

2.

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.

3.

MAX-rank: a simple and robust genome-wide scan for case-control association studies.

Li Q, Yu K, Li Z, Zheng G.

Hum Genet. 2008 Jul;123(6):617-23. doi: 10.1007/s00439-008-0514-8. Epub 2008 May 20.

PMID:
18491142
4.

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
5.

A hidden Markov random field model for genome-wide association studies.

Li H, Wei Z, Maris J.

Biostatistics. 2010 Jan;11(1):139-50. doi: 10.1093/biostatistics/kxp043. Epub 2009 Oct 12.

6.

Performance of random forest when SNPs are in linkage disequilibrium.

Meng YA, Yu Y, Cupples LA, Farrer LA, Lunetta KL.

BMC Bioinformatics. 2009 Mar 5;10:78. doi: 10.1186/1471-2105-10-78.

7.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

8.

Establishing an adjusted p-value threshold to control the family-wide type 1 error in genome wide association studies.

Duggal P, Gillanders EM, Holmes TN, Bailey-Wilson JE.

BMC Genomics. 2008 Oct 31;9:516. doi: 10.1186/1471-2164-9-516.

9.

Linkage-disequilibrium-based binning affects the interpretation of GWASs.

Christoforou A, Dondrup M, Mattingsdal M, Mattheisen M, Giddaluru S, Nöthen MM, Rietschel M, Cichon S, Djurovic S, Andreassen OA, Jonassen I, Steen VM, Puntervoll P, Le Hellard S.

Am J Hum Genet. 2012 Apr 6;90(4):727-33. doi: 10.1016/j.ajhg.2012.02.025. Epub 2012 Mar 22.

10.

A flexible genome-wide bootstrap method that accounts for ranking and threshold-selection bias in GWAS interpretation and replication study design.

Faye LL, Sun L, Dimitromanolakis A, Bull SB.

Stat Med. 2011 Jul 10;30(15):1898-912. doi: 10.1002/sim.4228. Epub 2011 May 3.

PMID:
21538984
11.

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.

12.

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
13.

Poor replication of candidate genes for major depressive disorder using genome-wide association data.

Bosker FJ, Hartman CA, Nolte IM, Prins BP, Terpstra P, Posthuma D, van Veen T, Willemsen G, DeRijk RH, de Geus EJ, Hoogendijk WJ, Sullivan PF, Penninx BW, Boomsma DI, Snieder H, Nolen WA.

Mol Psychiatry. 2011 May;16(5):516-32. doi: 10.1038/mp.2010.38. Epub 2010 Mar 30.

PMID:
20351714
14.

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.

15.

Mining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS.

Shi G, Boerwinkle E, Morrison AC, Gu CC, Chakravarti A, Rao DC.

Genet Epidemiol. 2011 Feb;35(2):111-8. doi: 10.1002/gepi.20556. Epub 2010 Dec 31.

16.

Improved heritability estimation from genome-wide SNPs.

Speed D, Hemani G, Johnson MR, Balding DJ.

Am J Hum Genet. 2012 Dec 7;91(6):1011-21. doi: 10.1016/j.ajhg.2012.10.010.

17.

Data mining of high density genomic variant data for prediction of Alzheimer's disease risk.

Briones N, Dinu V.

BMC Med Genet. 2012 Jan 25;13:7. doi: 10.1186/1471-2350-13-7.

18.

Joint analysis of tightly linked SNPs in screening step of genome-wide association studies leads to increased power.

Becker T, Herold C.

Eur J Hum Genet. 2009 Aug;17(8):1043-9. doi: 10.1038/ejhg.2009.7. Epub 2009 Feb 18.

19.

A genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWAS.

Richardson K, Lai CQ, Parnell LD, Lee YC, Ordovas JM.

BMC Genomics. 2011 Oct 13;12:504. doi: 10.1186/1471-2164-12-504.

20.

Estimating the number of true discoveries in genome-wide association studies.

Lee W, Gusnanto A, Salim A, Magnusson P, Sim X, Tai ES, Pawitan Y.

Stat Med. 2012 May 20;31(11-12):1177-89. doi: 10.1002/sim.4391. Epub 2011 Oct 11.

PMID:
21987428
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