Fine-mapping from summary data with the “Sum of Single Effects” model

In recent work, Wang et al introduced the “Sum of Single Effects” (SuSiE) model, and showed that it provides a simple and efficient approach to fine-mapping genetic variants from individual-level data. Here we present new methods for fitting the SuSiE model to summary data, for example to single-SNP...

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Detalles Bibliográficos
Autores principales: Zou, Yuxin, Carbonetto, Peter, Wang, Gao, Stephens, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337707/
https://www.ncbi.nlm.nih.gov/pubmed/35853082
http://dx.doi.org/10.1371/journal.pgen.1010299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337707/
https://www.ncbi.nlm.nih.gov/pubmed/35853082
http://dx.doi.org/10.1371/journal.pgen.1010299

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