Genome-wide association studies: theoretical and practical concerns.
paper
Cited
Public
Unavailable
- Authors
- Wang, William Y S; Barratt, Bryan J; Clayton, David G; Todd, John A
- Year
- 2005
- Journal
- Nature reviews. Genetics
- PMID
- 15716907
- DOI
- 10.1038/nrg1522
To fully understand the allelic variation that underlies common diseases, complete genome sequencing for many individuals with and without disease is required. This is still not technically feasible. However, recently it has become possible to carry out partial surveys of the genome by genotyping large numbers of common SNPs in genome-wide association studies. Here, we outline the main factors - including models of the allelic architecture of common diseases, sample size, map density and sample-collection biases - that need to be taken into account in order to optimize the cost efficiency of identifying genuine disease-susceptibility loci.
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| Genomics: the next step to elucidate the etiology of calcific aortic valve stenosis. | BossΓ© Y et al. | β | 2008 | β |
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| Association analysis of the chromosome 4p-located G protein-coupled receptor 78 (GPR78) gene in bipolar affective disorder and schizophrenia. | Underwood SL et al. | β | 2006 | β |
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| Examining the relationships between the Pro12Ala variant in PPARG and Type 2 diabetes-related traits in UK samples. | Zeggini E et al. | β | 2005 | β |
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