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Items: 1 to 20 of 112

1.

Comparative power of family-based association strategies to detect disease-causing variants under two-locus models.

Babron MC, Guilloud-Bataille M, Sahbatou M, Demenais F, Génin E, Dizier MH.

Genet Epidemiol. 2012 Dec;36(8):848-55. doi: 10.1002/gepi.21672.

PMID:
22887021
2.

Where is the causal variant? On the advantage of the family design over the case-control design in genetic association studies.

Dandine-Roulland C, Perdry H.

Eur J Hum Genet. 2015 Oct;23(10):1357-63. doi: 10.1038/ejhg.2014.284.

4.

Further investigation of linkage disequilibrium SNPs and their ability to identify associated susceptibility loci.

North BV, Curtis D, Martin ER, Lai EH, Roses AD, Sham PC.

Ann Hum Genet. 2004 May;68(Pt 3):240-8.

5.

Comprehensive gene-based association study of a chromosome 20 linked region implicates novel risk loci for depressive symptoms in psychotic illness.

Bigdeli TB, Maher BS, Zhao Z, Oord EJ, Thiselton DL, Sun J, Webb BT, Amdur RL, Wormley B, O'Neill FA, Walsh D, Riley BP, Kendler KS, Fanous AH.

PLoS One. 2011;6(12):e21440. doi: 10.1371/journal.pone.0021440.

6.

Analysis of single-locus tests to detect gene/disease associations.

Roeder K, Bacanu SA, Sonpar V, Zhang X, Devlin B.

Genet Epidemiol. 2005 Apr;28(3):207-19.

PMID:
15637715
7.

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
8.
9.

Comparative analysis of methods for detecting interacting loci.

Chen L, Yu G, Langefeld CD, Miller DJ, Guy RT, Raghuram J, Yuan X, Herrington DM, Wang Y.

BMC Genomics. 2011 Jul 5;12:344. doi: 10.1186/1471-2164-12-344.

10.

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
11.
12.

Modeling and testing for joint association using a genetic random field model.

He Z, Zhang M, Zhan X, Lu Q.

Biometrics. 2014 Sep;70(3):471-9. doi: 10.1111/biom.12160.

PMID:
24628067
13.

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
14.

Comparison of population- and family-based methods for genetic association analysis in the presence of interacting loci.

Howson JM, Barratt BJ, Todd JA, Cordell HJ.

Genet Epidemiol. 2005 Jul;29(1):51-67.

PMID:
15892093
15.

Haplotype block structure and its applications to association studies: power and study designs.

Zhang K, Calabrese P, Nordborg M, Sun F.

Am J Hum Genet. 2002 Dec;71(6):1386-94.

16.
18.

Suggestive evidence for association between L-type voltage-gated calcium channel (CACNA1C) gene haplotypes and bipolar disorder in Latinos: a family-based association study.

Gonzalez S, Xu C, Ramirez M, Zavala J, Armas R, Contreras SA, Contreras J, Dassori A, Leach RJ, Flores D, Jerez A, Raventós H, Ontiveros A, Nicolini H, Escamilla M.

Bipolar Disord. 2013 Mar;15(2):206-14. doi: 10.1111/bdi.12041.

19.
20.

Caucasian and Asian specific rheumatoid arthritis risk loci reveal limited replication and apparent allelic heterogeneity in north Indians.

Prasad P, Kumar A, Gupta R, Juyal RC, Thelma BK.

PLoS One. 2012;7(2):e31584. doi: 10.1371/journal.pone.0031584.

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