Project description:<p>Osteoporosis is a condition of excessive skeletal fragility which results in high risk to low trauma fractures. It is the most prevalent metabolic bone disease and is a major public health problem which may result in devastating morbidity and mortality. The most powerful, measurable determinant of fracture risk is bone mineral density (BMD). More than 60% of BMD variation is attributable to genetic factors. There are gender differences in BMD that contribute to a substantially higher fracture risk among women than men. Genetic studies demonstrate that some osteoporosis risk genes/genomic regions are gender specific. However, specific such genes contributing to female BMD and to the sex differences of BMD are largely unknown.</p> <p>Recent rapid progresses in SNP genotyping technology, in our knowledge about human genome diversity and linkage disequilibrium (LD) patterns in the human genome as revealed have made it feasible and timely to pursue a powerful whole genome-wide association study (GWAS) to identify genes for BMD. The major goal of this project is to perform a powerful GWAS study in a large sample of US Caucasian subjects. Gender specific effects of the genetic variants will be examined. The significant genetic variants discovered will be used to design diagnostic DNA chips for prognosis for potential health problems of osteoporosis later in life.</p>
Project description:<p>Osteoporosis is a condition of excessive skeletal fragility which results in high risk to low trauma fractures. It is the most prevalent metabolic bone disease and is a major public health problem which may result in devastating morbidity and mortality. The most powerful, measurable determinant of fracture risk is bone mineral density (BMD). More than 60% of BMD variation is attributable to genetic factors. There are gender differences in BMD that contribute to a substantially higher fracture risk among women than men. Genetic studies demonstrate that some osteoporosis risk genes/genomic regions are gender specific. However, specific such genes contributing to female BMD and to the sex differences of BMD are largely unknown.</p> <p>Recent rapid progresses in SNP genotyping technology, in our knowledge about human genome diversity and linkage disequilibrium (LD) patterns in the human genome as revealed have made it feasible and timely to pursue a powerful whole genome-wide association study (GWAS) to identify genes for BMD. The major goal of this project is to perform a powerful GWAS study in a large sample of US Caucasian subjects. Gender specific effects of the genetic variants will be examined. The significant genetic variants discovered will be used to design diagnostic DNA chips for prognosis for potential health problems of osteoporosis later in life.</p>
Project description:Osteoporosis is a multifactorial disease with genetic and strong epigenetic component. In spite of enormous candidate gene association studies, the etiology and molecular mechanism of disease is not fully known. This study is undertaken to identify new markers of osteoporosis which could be vital in diagnosis and prognosis of disease, genome-wide microarray expression approach was employed on post menopausal Indian females living in same geographical area with almost similar life-style. To validate microarray gene expression pattern, qRT-PCR was performed on top 5 genes on osteoporotic (n =32) and non-osteoporotic (n=15) post menopausal females
Project description:Investigate genes expression profiles of postmenopausal osteoporosis with kidney Yin deficiency in peripheral blood By TCM syndrome, 10 patients with postmenopausal osteoporosis were divided into three groups: kidney Yin deficiency (n=4), kidney Yang deficiency (n=3), non-kidney deficiency (n=3), another 3 healthy postmenopausal women also were selected as control group. Whole human genome oligo microarray were applied to explore gene expression difference of the groups. Kidney Yin deficiency group was compared with other three groups respectively.
Project description:Recent studies have shown that microRNAs (miRNAs) are implicated in the development of postmenopausal osteoporosis, implying potential biomarkers. We performed a microarray-based expression scanning to search for potential circulating miRNA biomarkers for postmenopausal osteoporosis as whole blood obtianed from patients was used. MiRNA expression in the whole blood of 23 Chinese postmenopausal women with osteopenia and that of 25 Chinese postmenopausal women with osteoporosis. After total RNA was extracted, all of the RNA extraction samples were seperately pooled into six subgroups according to the T-score measurement.
Project description:B cells produce important cytokines regulate bone metabolism. We comparison gene expression patterns of circulating B cells in blood from 20 postmenopausal female smokers with low or high bone mineral density (BMD): 10 low BMD vs. 10 high BMD. In total 17 differentially expressed genes were identified with smoking-related osteoporosis. Keywords: disease state analysis