Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 58

1.

Correction for multiple testing in a gene region.

Hendricks AE, Dupuis J, Logue MW, Myers RH, Lunetta KL.

Eur J Hum Genet. 2014 Mar;22(3):414-8. doi: 10.1038/ejhg.2013.144. Epub 2013 Jul 10.

2.

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.

3.

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.

PMID:
18271029
4.

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.

5.

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.

PMID:
23959976
6.

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.

7.
8.

Accounting for multiple comparisons in a genome-wide association study (GWAS).

Johnson RC, Nelson GW, Troyer JL, Lautenberger JA, Kessing BD, Winkler CA, O'Brien SJ.

BMC Genomics. 2010 Dec 22;11:724. doi: 10.1186/1471-2164-11-724.

9.

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.

10.

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.

11.

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.

12.

Jackknife-based gene-gene interactiontests for untyped SNPs.

Song M.

BMC Genet. 2015 Jul 18;16:85. doi: 10.1186/s12863-015-0225-9.

13.

Rapid simulation of P values for product methods and multiple-testing adjustment in association studies.

Seaman SR, Müller-Myhsok B.

Am J Hum Genet. 2005 Mar;76(3):399-408. Epub 2005 Jan 11.

14.

Multi-locus stepwise regression: a haplotype-based algorithm for finding genetic associations applied to atopic dermatitis.

Knüppel S, Esparza-Gordillo J, Marenholz I, Holzhütter HG, Bauerfeind A, Ruether A, Weidinger S, Lee YA, Rohde K.

BMC Med Genet. 2012 Jan 27;13:8. doi: 10.1186/1471-2350-13-8.

15.

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.

16.

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
17.

Meta-analysis of genetic association studies and adjustment for multiple testing of correlated SNPs and traits.

Conneely KN, Boehnke M.

Genet Epidemiol. 2010 Nov;34(7):739-46. doi: 10.1002/gepi.20538.

18.

Finding unique filter sets in PLATO: a precursor to efficient interaction analysis in GWAS data.

Grady BJ, Torstenson E, Dudek SM, Giles J, Sexton D, Ritchie MD.

Pac Symp Biocomput. 2010:315-26.

19.
20.

PERMORY: an LD-exploiting permutation test algorithm for powerful genome-wide association testing.

Pahl R, Schäfer H.

Bioinformatics. 2010 Sep 1;26(17):2093-100. doi: 10.1093/bioinformatics/btq399. Epub 2010 Jul 6.

PMID:
20605926

Supplemental Content

Support Center