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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...
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| I publikationen: | Front Genet |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4424902/ https://ncbi.nlm.nih.gov/pubmed/26005447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2015.00176 |
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