Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors

Summary statistics from genome-wide association studies (GWAS) have facilitated the development of various summary data-based methods, which typically require a reference sample for linkage disequilibrium (LD) estimation. Analyses using these methods may be biased by errors in GWAS summary data or L...

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Detalles Bibliográficos
Autores principales: Chen, Wenhan, Wu, Yang, Zheng, Zhili, Qi, Ting, Visscher, Peter M., Zhu, Zhihong, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654883/
https://www.ncbi.nlm.nih.gov/pubmed/34880243
http://dx.doi.org/10.1038/s41467-021-27438-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654883/
https://www.ncbi.nlm.nih.gov/pubmed/34880243
http://dx.doi.org/10.1038/s41467-021-27438-7

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