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Items: 1 to 20 of 73


Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study.

Moskvina V, O'Dushlaine C, Purcell S, Craddock N, Holmans P, O'Donovan MC.

Genet Epidemiol. 2011 Dec;35(8):861-6. doi: 10.1002/gepi.20636. Epub 2011 Oct 17.


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.


Properties of permutation-based gene tests and controlling type 1 error using a summary statistic based gene test.

Swanson DM, Blacker D, Alchawa T, Ludwig KU, Mangold E, Lange C.

BMC Genet. 2013 Nov 7;14:108. doi: 10.1186/1471-2156-14-108.


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.


Permutation-based approaches do not adequately allow for linkage disequilibrium in gene-wide multi-locus association analysis.

Moskvina V, Schmidt KM, Vedernikov A, Owen MJ, Craddock N, Holmans P, O'Donovan MC.

Eur J Hum Genet. 2012 Aug;20(8):890-6. doi: 10.1038/ejhg.2012.8. Epub 2012 Feb 8.


Genome-wide comparisons of variation in linkage disequilibrium.

Teo YY, Fry AE, Bhattacharya K, Small KS, Kwiatkowski DP, Clark TG.

Genome Res. 2009 Oct;19(10):1849-60. doi: 10.1101/gr.092189.109. Epub 2009 Jun 18.


Local phylogeny mapping of quantitative traits: higher accuracy and better ranking than single-marker association in genomewide scans.

Besenbacher S, Mailund T, Schierup MH.

Genetics. 2009 Feb;181(2):747-53. doi: 10.1534/genetics.108.092643. Epub 2008 Dec 8.


Short communication: Characterization of the genome-wide linkage disequilibrium in 2 divergent selection lines of dairy cows.

Banos G, Coffey MP.

J Dairy Sci. 2010 Jun;93(6):2775-8. doi: 10.3168/jds.2009-2613.


SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment.

Lee J, Ahn S, Oh S, Weir B, Park T.

BMC Syst Biol. 2011;5 Suppl 2:S11. doi: 10.1186/1752-0509-5-S2-S11. Epub 2011 Dec 14.


A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms.

Gao X, Starmer J, Martin ER.

Genet Epidemiol. 2008 May;32(4):361-9. doi: 10.1002/gepi.20310.


Gene-wide analyses of genome-wide association data sets: evidence for multiple common risk alleles for schizophrenia and bipolar disorder and for overlap in genetic risk.

Moskvina V, Craddock N, Holmans P, Nikolov I, Pahwa JS, Green E; Wellcome Trust Case Control Consortium, Owen MJ, O'Donovan MC.

Mol Psychiatry. 2009 Mar;14(3):252-60. doi: 10.1038/mp.2008.133. Epub 2008 Dec 9.


INRICH: interval-based enrichment analysis for genome-wide association studies.

Lee PH, O'Dushlaine C, Thomas B, Purcell SM.

Bioinformatics. 2012 Jul 1;28(13):1797-9. doi: 10.1093/bioinformatics/bts191. Epub 2012 Apr 17.


Multiple testing corrections for imputed SNPs.

Gao X.

Genet Epidemiol. 2011 Apr;35(3):154-8. doi: 10.1002/gepi.20563. Epub 2011 Jan 19.


A Bayesian approach using covariance of single nucleotide polymorphism data to detect differences in linkage disequilibrium patterns between groups of individuals.

Clark TG, Campino SG, Anastasi E, Auburn S, Teo YY, Small K, Rockett KA, Kwiatkowski DP, Holmes CC.

Bioinformatics. 2010 Aug 15;26(16):1999-2003. doi: 10.1093/bioinformatics/btq327. Epub 2010 Jun 16.


A powerful method for combining P-values in genomic studies.

Chen HS, Pfeiffer RM, Zhang S.

Genet Epidemiol. 2013 Dec;37(8):814-9. doi: 10.1002/gepi.21755. Epub 2013 Aug 19.


Avoiding the high Bonferroni penalty in genome-wide association studies.

Gao X, Becker LC, Becker DM, Starmer JD, Province MA.

Genet Epidemiol. 2010 Jan;34(1):100-5. doi: 10.1002/gepi.20430.


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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