Meta-analysis methods for genome-wide association studies and beyond
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics,Molecular Biology
Link
http://www.nature.com/articles/nrg3472.pdf
Reference117 articles.
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2. Marchini, J. & Howie, B. Genotype imputation for genome-wide association studies. Nature Rev. Genet. 11, 499–511 (2010).
3. Ioannidis, J. P., Trikalinos, T. A. & Khoury, M. J. Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases. Am. J. Epidemiol. 164, 609–614 (2006).
4. Moonesinghe, R., Khoury, M. J., Liu, T. & Ioannidis, J. P. Required sample size and nonreplicability thresholds for heterogeneous genetic associations. Proc. Natl Acad. Sci. USA 105, 617–622 (2008).
5. Chapman, K., Ferreira, T., Morris, A., Asimit, J. & Zeggini, E. Defining the power limits of genome-wide association scan meta-analyses. Genet. Epidemiol. 35, 781–789 (2011).
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