Genomewide association studies

Wang WY, Barratt BJ, Clayton DG, Todd JA. 2005. Genomewide association studies Theoretical and practical concerns. Nat Rev Genet 6 109-118. [Pg.105]

Gianfagna F, Cugino D, Santimone I, Iacoviello L (2012) From candidate gene to genomewide association studies in cardiovascular disease. Thromb Res 129(3) 320-324... [Pg.88]

Meyre D, Delplanque J, Chevre JC, Lecoeur C, Lobbens S, Gallina S et al (2009) Genomewide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat Genet 41 157-159... [Pg.585]

Stahl EA, Raychaudhuri S, Remmers EF, Xie G, Eyre S, Thomson BP et al (2010) Genomewide association study meta-analysis identifies seven new rheumatoid arthritis risk loci. Nat Genet 42 508-514... [Pg.658]

TRENDS AND STATISTICAL CHALLENGES IN GENOMEWIDE ASSOCIATION STUDIES... [Pg.283]

Dudbridge, F., and Koeleman, P. C. (2004). Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies. Am. J. Hum. Genet, 75 424-435. [Pg.304]

Skol, A. D., Scott, L. J., Abecasis, G. R., and Boehnke, M. (2007). Optimal designs for two-stage genomewide association studies. Genet Epidemiol, 31 766-788. [Pg.306]

Linkage disequilibrium Nonindependency among physically closely spaced genetic markers. The presence of linkage disequilibrium is the basis of selecting tag SNPs and use tag SNPs to conduct genomewide association studied. [Pg.307]

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