The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Pitfalls of predicting complex traits from SNPs
Open accessAbstract
The success of genome-wide association studies (GWASs) has led to increasing interest in making predictions of complex trait phenotypes, including disease, from genotype data. Rigorous assessment of the value of predictors is crucial before implementation. Here we discuss some of the limitations and pitfalls of prediction analysis and show how naive implementations can lead to severe bias and misinterpretation of results.
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Metadata
- Authors
- Wray, N. R., Yang, J., Hayes, B. J., Price, A. L., Goddard, M. E., & Visscher, P. M.
- Venue
- Nature Reviews Genetics
- Published
- 2013-06-18
- Volume
- 14
- Issue
- 7
- Pages
- 507-515
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W1971141173
- Cited by
- 691
- References
- 22
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- green
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- Wray, N. R., Yang, J., Hayes, B. J., Price, A. L., Goddard, M. E., & Visscher, P. M. (2013). Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics. https://doi.org/10.1038/nrg3457
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