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Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects
Despite the recent progress in sequencing technologies, genome-wide association studies (GWAS) remain limited by a statistical-power issue: many polymorphisms contribute little to common trait variation and therefore escape detection. The small contribution sometimes corresponds to incomplete penetr...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4968810/ https://www.ncbi.nlm.nih.gov/pubmed/27479122 http://dx.doi.org/10.1371/journal.pgen.1006213 |