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Integrative analysis of functional genomic annotations and sequencing data to identify rare causal variants via hierarchical modeling
Identifying the small number of rare causal variants contributing to disease has been a major focus of investigation in recent years, but represents a formidable statistical challenge due to the rare frequencies with which these variants are observed. In this commentary we draw attention to a formal...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424902/ https://www.ncbi.nlm.nih.gov/pubmed/26005447 http://dx.doi.org/10.3389/fgene.2015.00176 |