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@@ -104,8 +104,9 @@ Next, an important step is to format the GWAS summary statistics for the MR_APSS | |
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# Reference | ||
<!--Xianghong Hu, Jia Zhao, Zhixiang Lin, Yang Wang, Heng Peng, Hongyu Zhao, Xiang Wan, Can Yang. Mendelian Randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics. bioRxiv 2021.03.11.434915; doi: https://doi.org/10.1101/2021.03.11.434915. To appear in Proceedings of the National Academy of Sciences (PNAS), 2022.--> | ||
Hu Xianghong, Zhao Jia, Lin Zhixiang, Wang Yang, Peng Heng, Zhao Hongyu, Wan Xiang, and Yang Can. Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics. Proceedings of the National Academy of Sciences, 119(28), July 5, 2022. doi: https://www.pnas.org/doi/10.1073/pnas.2106858119. | ||
<!--Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang. PALM: A Powerful and Adaptive Latent Model for Prioritizing Risk Variants with Functional Annotations Bioinformatics.2023.--> | ||
Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang. PALM: A Powerful and Adaptive Latent Model for Prioritizing Risk Variants with Functional Annotations Bioinformatics. 2023 | ||
doi: https://doi.org/10.1093/bioinformatics/btad068. | ||
# Contact information | ||
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Please feel free to contact Xianghong Hu ([email protected]) or Prof. Can Yang ([email protected]) if any questions. |