Abstract
Genome-wide association studies can provide researchers some reference on gene mapping of complex trait, a key point of which is how to improve the power of association test. Recently, two-stage approaches are widely used to genome-wide association analysis. In the first stage, a screening test is used to select markers, and in the second stage, a family-based association test is performed based on a smaller set of the selected markers. Here, we modify an existing two-stage approach and propose a new test statistic for the association analysis. Simulation studies are conducted to compare the type I error rates and powers of the proposed approach with those of the existing two-stage approaches. Simulation results show that the new two-stage approach has greater power than the other two-stage approaches to some extent.
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Acknowledgements
This research was supported by the National Natural Science Foundation of China (no. 11201129), the Natural Science Foundation of Heilongjiang Province of China (A201207), the Scientific Research Foundation of Department of Education of Heilongjiang Province of China (nos 1253G044, and 12531508) and the Scientific Foundation of Heilongjiang University for Distinguished Young Scholars (no. JCL 201003).
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Ma, W., Zhou, Y., Zhou, Y. et al. A modified two-stage approach for family-based genome-wide association studies. Eur J Hum Genet 22, 148–151 (2014). https://doi.org/10.1038/ejhg.2013.105
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DOI: https://doi.org/10.1038/ejhg.2013.105