Understanding our drugs and our diseases.
Proc Am Thorac Soc
; 3(5): 409-12, 2006 Jul.
Article
de En
| MEDLINE
| ID: mdl-16799083
ABSTRACT
Analysis of mouse genetic models of human disease-associated traits has provided important insight into the pathogenesis of human disease. As one example, analysis of a murine genetic model of osteoporosis demonstrated that genetic variation within the 15-lipoxygenase (Alox15) gene affected peak bone mass, and that treatment with inhibitors of this enzyme improved bone mass and quality in rodent models. However, the method that has been used to analyze mouse genetic models is very time consuming, inefficient, and costly. To overcome these limitations, a computational method for analysis of mouse genetic models was developed that markedly accelerates the pace of genetic discovery. It was used to identify a genetic factor affecting the rate of metabolism of warfarin, an anticoagulant that is commonly used to treat clotting disorders. Computational analysis of a murine genetic model of narcotic drug withdrawal suggested a potential new approach for treatment of narcotic drug addiction. Thus, the results derived from computational mouse genetic analysis can suggest new treatment strategies, and can provide new information about currently available medicines.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Préparations pharmaceutiques
/
Génome
/
Biologie informatique
/
Locus de caractère quantitatif
Type d'étude:
Prognostic_studies
Limites:
Animals
Langue:
En
Journal:
Proc Am Thorac Soc
Année:
2006
Type de document:
Article
Pays d'affiliation:
États-Unis d'Amérique