Genome-wide association

Price, A.L., Patterson, N.J., Plenge, R.M., Weinblatt, M.E., Shadick, N.A., and Reich, D. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38, 904-909. Available at http //genepath.med.Harvard.edu/ reich/ EIGENSTRAT.htm. 

Kraft P. (2006) Efficient two-stage genome-wide association designs based on false positive report probabilities. Pac Symp Biocomput. 523-534. 

Wiltshire S, de Bakker PI, Daly MJ. (2006) The value of gene-based selection of tag SNPs in genome-wide association studies. EurJ Hum Genet. 14,1209-1214. 

Wang H, Thomas DC, Pe er I, Stram DO. (2006) Optimal two-stage genotyping designs for genome-wide association scans. Genet Epidemiol. 30, 356-368. 

Hirschhorn JN, Daly MJ. (2005) Genome-wide association studies for common diseases and complex traits. Nat Rev Genet. 6, 95-108. 

Saito A, Kamatani N. (2002) Strategies for genome-wide association studies optimization of study designs by the stepwise focusing method. J Hum Genet. 47,360-365. 

Ohnishi Y, Tanaka T, Ozaki K, YamadaR, Suzuki H, Nakamura Y. (2001) A high-throughput SNP typing system for genome-wide association studies. J Hum Genet. 46,471-477. 

Barrett JC, Cardon LR. (2006) Evaluating coverage of genome-wide association studies. Nat Genet. 38, 659-662. 

Evans DM, Cardon LR. (2006) Genome-wide association a promising start to a long race. Trends Genet. 22, 350-354. 

Yang Q, Cui J, Chazaro I, Guppies LA, Demissie S. (2005) Power and type I error rate of false discovery rate approaches in genome-wide association studies. BMC Genet. 6(suppl 1), SI34. 

Cheung VG, Spielman RS, Ewens KG et al. Mapping determinants of human gene expression by regional and genome-wide association. Nature 2005 437 1365-1369. 

Stranger BE, Forrest MS, Clark AG et al. Genome-wide associations of gene expression variation in humans. PLoS Genet 2005 l e78. 

Smyth DJ, Cooper JD, Bailey R et al. A genome-wide association study of nonsynonymous SNPs identifies a type 1 diabetes locus in the interferon-induced helicase (IFIHl) region. Nat Genet 2006 38 617-619. 

Thomas DC, Haile RW, Duggan D. Recent developments in genome-wide association scans a workshop summary and review. Am J Hum Genet 2005 11 331-345. 

Many of the genes that increase vulnerability to bipolar disorder are common to schizophrenia but some genes appear to be unique to each disorder. Genome-wide association studies of psychotic bipolar disorder have shown replicated linkage to chromosomes 8p and 13q. Several candidate genes have shown association with bipolar disorder with psychotic features and with schizophrenia. These include genes for dysbindin, DAOA/G30, disrupted-in-schizophrenia-1 (DISC-1), and neuregulin 1. 

Genome-Wide Association Studies and Haplotype Blocks... 

Lin S, Chakravarti A, Cutler DJ. 2004. Exhaustive allelic transmission disequilibrium tests as a new approach to genome-wide association studies. Nat Genet 36 1181-1188. 

Craddock N, O Donovan MC, Owen MJ. 2008. Genome-wide association studies in psychiatry Lessons from early studies of non-psychiatric and psychiatric phenotypes. Mol Psychiatry 13 649-653. 

DeYoung J, Karayiorgou M, Roos JL, Pretorious H, Bedoya G, et al. 2006. Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies. Nat Genet 38(5) 556-560. 

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