Abstract
GWAS, or Genome-wide association study, is a statistical analysis method to reveal specific genetic variations, usually single nucleotide polymorphisms, with particular phenotypes or diseases. The power to scan whole genomes from large scale samples made the method an efficient tool for information discovery. In the last decades, the application of GWAS has flourished, which benefited our understanding related to diseases, breeding and many other topics. In this review, we overviewed the history of GWAS, as well as different approaches to perform the analysis under different circumstances during different stages. Meanwhile, we also showed how different GWAS approaches benefited diverse research and application fields, and the potential limitations of the method.
Reference29 articles.
1. Lewis C. M., Knight J., Cold Spring Harb Protoc, 2012(3):297–306(2012)
2. Ozaki K., Ohnishi Y., Iida A., Sekine A., Yamada R., et al. Nat Genet, 32(2002)
3. Carrasquillo M. M.1, McCallionl A. S., Puffenberger E. G., Kashuk C. S., Nouri N., et al. Nat Genet, 32(2002)
4. Klein R. J., Science, 308(2005)
5. Erdmann J., Kessler T., Venegas L. M., Schunkert H., Res Cardiovasc, 114(2018)
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