Abstract
28% to <2% in the presence of heterogeneity between GWAS and LD reference). We further show that DENTIST can improve other summary-data-based analyses such as fine-mapping analysis.
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CITATION STYLE
APA
Chen, W., Wu, Y., Zheng, Z., Qi, T., Visscher, P. M., Zhu, Z., & Yang, J. (2021). Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-27438-7
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