Prediction of osteoporosis candidate genes by computational disease-gene identification strategy
نویسندگان
چکیده
منابع مشابه
Identification of candidate genes in osteoporosis by integrated microarray analysis
OBJECTIVES In order to screen the altered gene expression profile in peripheral blood mononuclear cells of patients with osteoporosis, we performed an integrated analysis of the online microarray studies of osteoporosis. METHODS We searched the Gene Expression Omnibus (GEO) database for microarray studies of peripheral blood mononuclear cells in patients with osteoporosis. Subsequently, we in...
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BACKGROUND Osteoporosis is a condition of bones that leads to an increased susceptibility to fracture and consequent painful morbidity. It has become a major issue of life quality worldwide. However, until now, the molecular mechanism of this disease is far from being clear. METHODS In this study, we obtained the gene expression profile of osteoporosis and controls from Gene Expression Omnibu...
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Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most likely candidate disease genes from these gene sets. Here, we review seven independent computationa...
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ژورنال
عنوان ژورنال: Journal of Human Genetics
سال: 2008
ISSN: 1434-5161,1435-232X
DOI: 10.1007/s10038-008-0295-x