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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...
Autores principales: | Privé, Florian, Arbel, Julyan, Aschard, Hugues, Vilhjálmsson, Bjarni J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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