Detecting cancer gene networks characterized by recurrent genomic alterations in a population.
PLoS One
; 6(1): e14437, 2011 Jan 04.
Article
en En
| MEDLINE
| ID: mdl-21283511
ABSTRACT
High resolution, system-wide characterizations have demonstrated the capacity to identify genomic regions that undergo genomic aberrations. Such research efforts often aim at associating these regions with disease etiology and outcome. Identifying the corresponding biologic processes that are responsible for disease and its outcome remains challenging. Using novel analytic methods that utilize the structure of biologic networks, we are able to identify the specific networks that are highly significantly, nonrandomly altered by regions of copy number amplification observed in a systems-wide analysis. We demonstrate this method in breast cancer, where the state of a subset of the pathways identified through these regions is shown to be highly associated with disease survival and recurrence.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Biología Computacional
/
Inestabilidad Genómica
/
Redes Reguladoras de Genes
/
Estudio de Asociación del Genoma Completo
/
Neoplasias
Tipo de estudio:
Etiology_studies
Límite:
Female
/
Humans
Idioma:
En
Revista:
PLoS One
Asunto de la revista:
CIENCIA
/
MEDICINA
Año:
2011
Tipo del documento:
Article
País de afiliación:
Israel