Title |
Genome-wide approaches for identifying genetic risk factors for osteoporosis
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Published in |
Genome Medicine, May 2013
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DOI | 10.1186/gm448 |
Pubmed ID | |
Authors |
Shuyan Wu, Yongjun Liu, Lei Zhang, Yingying Han, Yong Lin, Hong-Wen Deng |
Abstract |
Osteoporosis, the most common type of bone disease worldwide, is clinically characterized by low bone mineral density (BMD) and increased susceptibility to fracture. Multiple genetic and environmental factors and gene-environment interactions have been implicated in its pathogenesis. Osteoporosis has strong genetic determination, with the heritability of BMD estimated to be as high as 60%. More than 80 genes or genetic variants have been implicated in risk of osteoporosis by hypothesis-free genome-wide studies. However, these genes or genetic variants can only explain a small portion of BMD variation, suggesting that many other genes or genetic variants underlying osteoporosis risk await discovery. Here, we review recent progress in genome-wide studies of osteoporosis and discuss their implications for medicine and the major challenges in the field. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 10 | 19% |
Student > Master | 9 | 17% |
Student > Ph. D. Student | 9 | 17% |
Researcher | 6 | 11% |
Student > Postgraduate | 4 | 7% |
Other | 9 | 17% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 14 | 26% |
Biochemistry, Genetics and Molecular Biology | 10 | 19% |
Agricultural and Biological Sciences | 4 | 7% |
Engineering | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 11 | 20% |
Unknown | 11 | 20% |