Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores

Publicly available genome-wide association studies (GWAS) summary statistics exhibit uneven quality, which can impact the validity of follow-up analyses. First, we present an overview of possible misspecifications that come with GWAS summary statistics. Then, in both simulations and real-data analys...

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Detalles Bibliográficos
Autores principales: Privé, Florian, Arbel, Julyan, Aschard, Hugues, Vilhjálmsson, Bjarni J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465343/
https://www.ncbi.nlm.nih.gov/pubmed/36105883
http://dx.doi.org/10.1016/j.xhgg.2022.100136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465343/
https://www.ncbi.nlm.nih.gov/pubmed/36105883
http://dx.doi.org/10.1016/j.xhgg.2022.100136

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