Robust Reference Powered Association Test of Genome-Wide Association Studies

We presented a new statistic T to use large public database as reference to reduce concern of potential population stratification. And the new statistic proposed here is effective to discover novel genome-wide significant loci with both small and large sample sizes. Author Contributions YW conceived the idea and developed the software. YL, MH, and XL contributed data analysis, generating tables and figures, and manuscript writing. YW, YL, MH, XL, YS, and LJ contributed the theoretical analysis and manuscript revision. MX helped support the GWAS datasets. YW, YL, MH, XL, MZ, JW, and MX contributed to scientific discussion. All authors contributed to final revision of the manuscript. Funding This work was supported by the National Natural Science Foundation of China (Grant Nos. 31521003 and 31330038), Postdoctoral Science Foundation of China (2018M640333), the National Basic Research Program (Grant Nos. 2014CB541801 and 2012CB944600), the Ministry of Science and Technology (Grant No. 2015FY1117000), the Science and Technology Committee of Shanghai Municipality (Grant Nos. 16JC1400500 and 2017SHZDZX01), and the 111 Project (Grant No. B13016). The views expressed in this presentation do not necessarily represent the views of the NIMH, NIH, HHS, or the United States Government. Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of intere...
Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research

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