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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| 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 |