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Results: 1 to 20 of 153

1.

Power analysis for genome-wide association studies.

Klein RJ.

BMC Genet. 2007 Aug 28;8:58.

PMID:
17725844
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

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.

PMID:
21467568
[PubMed - indexed for MEDLINE]
Free PMC Article
3.

A new model of multi-marker correlation for genome-wide tag SNP selection.

Wang WB, Jiang T.

Genome Inform. 2008;21:27-41.

PMID:
19425145
[PubMed - indexed for MEDLINE]
Free Article
4.

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
[PubMed - indexed for MEDLINE]
5.

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.

PMID:
19531258
[PubMed - indexed for MEDLINE]
Free PMC Article
6.
7.

Evaluating the performance of Affymetrix SNP Array 6.0 platform with 400 Japanese individuals.

Nishida N, Koike A, Tajima A, Ogasawara Y, Ishibashi Y, Uehara Y, Inoue I, Tokunaga K.

BMC Genomics. 2008 Sep 22;9:431. doi: 10.1186/1471-2164-9-431.

PMID:
18803882
[PubMed - indexed for MEDLINE]
Free PMC Article
8.

Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.

Spencer CC, Su Z, Donnelly P, Marchini J.

PLoS Genet. 2009 May;5(5):e1000477. doi: 10.1371/journal.pgen.1000477. Epub 2009 May 15.

PMID:
19492015
[PubMed - indexed for MEDLINE]
Free PMC Article
9.

Detailed analysis of the relative power of direct and indirect association studies and the implications for their interpretation.

Moskvina V, O'Donovan MC.

Hum Hered. 2007;64(1):63-73. Epub 2007 Apr 27.

PMID:
17483598
[PubMed - indexed for MEDLINE]
Free Article
10.

Selecting single-nucleotide polymorphisms for association studies with SNPbrowser software.

De La Vega FM.

Methods Mol Biol. 2007;376:177-93.

PMID:
17984546
[PubMed - indexed for MEDLINE]
11.
12.

Selecting tagging SNPs for association studies using power calculations from genotype data.

Hu X, Schrodi SJ, Ross DA, Cargill M.

Hum Hered. 2004;57(3):156-70.

PMID:
15297809
[PubMed - indexed for MEDLINE]
Free Article
13.

Tag SNP selection for association studies.

Stram DO.

Genet Epidemiol. 2004 Dec;27(4):365-74. Review.

PMID:
15372618
[PubMed - indexed for MEDLINE]
14.

Efficient association study design via power-optimized tag SNP selection.

Han B, Kang HM, Seo MS, Zaitlen N, Eskin E.

Ann Hum Genet. 2008 Nov;72(Pt 6):834-47. doi: 10.1111/j.1469-1809.2008.00469.x. Epub 2008 Aug 13.

PMID:
18702637
[PubMed - indexed for MEDLINE]
Free PMC Article
15.
16.

Efficiency and power in genetic association studies.

de Bakker PI, Yelensky R, Pe'er I, Gabriel SB, Daly MJ, Altshuler D.

Nat Genet. 2005 Nov;37(11):1217-23. Epub 2005 Oct 23.

PMID:
16244653
[PubMed - indexed for MEDLINE]
17.

Design of tag SNP whole genome genotyping arrays.

Peiffer DA, Gunderson KL.

Methods Mol Biol. 2009;529:51-61. doi: 10.1007/978-1-59745-538-1_4.

PMID:
19381970
[PubMed - indexed for MEDLINE]
18.

Evaluation of genome-wide power of genetic association studies based on empirical data from the HapMap project.

Nannya Y, Taura K, Kurokawa M, Chiba S, Ogawa S.

Hum Mol Genet. 2007 Oct 15;16(20):2494-505. Epub 2007 Jul 31.

PMID:
17666406
[PubMed - indexed for MEDLINE]
Free Article
19.

Information capture using SNPs from HapMap and whole-genome chips differs in a sample of inflammatory and cardiovascular gene-centric regions from genome-wide estimates.

Wallace C, Dobson RJ, Munroe PB, Caulfield MJ.

Genome Res. 2007 Nov;17(11):1596-602. Epub 2007 Sep 25.

PMID:
17895426
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

SNPs in Multi-species Conserved Sequences (MCS) as useful markers in association studies: a practical approach.

McCauley JL, Kenealy SJ, Margulies EH, Schnetz-Boutaud N, Gregory SG, Hauser SL, Oksenberg JR, Pericak-Vance MA, Haines JL, Mortlock DP.

BMC Genomics. 2007 Aug 6;8:266.

PMID:
17683615
[PubMed - indexed for MEDLINE]
Free PMC Article

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