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Learning the optimal scale for GWAS through hierarchical SNP aggregation
BACKGROUND: Genome-Wide Association Studies (GWAS) seek to identify causal genomic variants associated with rare human diseases. The classical statistical approach for detecting these variants is based on univariate hypothesis testing, with healthy individuals being tested against affected individua...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267789/ https://www.ncbi.nlm.nih.gov/pubmed/30497371 http://dx.doi.org/10.1186/s12859-018-2475-9 |