A model selection approach for expression quantitative trait loci (eQTL) mapping.
Genetics
; 187(2): 611-21, 2011 Feb.
Article
en En
| MEDLINE
| ID: mdl-21115971
ABSTRACT
Identifying the genetic basis of complex traits remains an important and challenging problem with the potential to affect a broad range of biological endeavors. A number of statistical methods are available for mapping quantitative trait loci (QTL), but their application to high-throughput phenotypes has been limited as most require user input and interaction. Recently, methods have been developed specifically for expression QTL (eQTL) mapping, but they too are limited in that they do not allow for interactions and QTL of moderate effect. We here propose an automated model-selection-based approach that identifies multiple eQTL in experimental populations, allowing for eQTL of moderate effect and interactions. Output can be used to identify groups of transcripts that are likely coregulated, as demonstrated in a study of diabetes in mouse.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Mapeo Cromosómico
/
Sitios de Carácter Cuantitativo
/
Modelos Genéticos
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Genetics
Año:
2011
Tipo del documento:
Article
País de afiliación:
Estados Unidos