Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses

Motivation: Approaches to identifying new risk loci, training risk prediction models, imputing untyped variants and fine-mapping causal variants from summary statistics of genome-wide association studies are playing an increasingly important role in the human genetics community. Current summary stat...

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Detalles Bibliográficos
Autores principales: Park, Danny S., Brown, Brielin, Eng, Celeste, Huntsman, Scott, Hu, Donglei, Torgerson, Dara G., Burchard, Esteban G., Zaitlen, Noah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Ismb/Eccb 2015 Proceedings Papers Committee July 10 to July 14, 2015, Dublin, Ireland
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553832/
https://www.ncbi.nlm.nih.gov/pubmed/26072481
http://dx.doi.org/10.1093/bioinformatics/btv230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553832/
https://www.ncbi.nlm.nih.gov/pubmed/26072481
http://dx.doi.org/10.1093/bioinformatics/btv230

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