Cargando…
Heterogeneity in statistical genetics: how to assess, address, and account for mixtures in association studies
Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phe...
| Autores principales: | , , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Springer
2020
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-61121-7 http://cds.cern.ch/record/2749390 |