the fat mass and obesity associated gene, fto, is also associated with osteoporosis phenotypesfto,脂肪量和肥胖相关基因也与骨质疏松相关的表型.pdfVIP

the fat mass and obesity associated gene, fto, is also associated with osteoporosis phenotypesfto,脂肪量和肥胖相关基因也与骨质疏松相关的表型.pdf

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the fat mass and obesity associated gene, fto, is also associated with osteoporosis phenotypesfto,脂肪量和肥胖相关基因也与骨质疏松相关的表型

The Fat Mass and Obesity Associated Gene, FTO, Is Also Associated with Osteoporosis Phenotypes 1 2 1 3 3 4 4 Yan Guo , Hui Liu , Tie-Lin Yang *, Siyang M. Li , Siyuan K. Li , Qing Tian , Yong-Jun Liu , Hong-Wen Deng4,5* 1 Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, People’s Republic of China, 2 Department of Articular Surgery, Xi’an Red Cross Hospital, Xi’an, People’s Republic of China, 3 School of Medicine, University of Missouri - Kansas City, Kansas City, Missouri, United States of America, 4 School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America, 5 Center of Systematic Biomedical Research, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China Abstract Obesity and osteoporosis are closely correlated genetically. FTO gene has been consistently identified to be associated with obesity phenotypes. A recent study reported that the mice lacking Fto could result in lower bone mineral density (BMD). Thus, we hypothesize that the FTO gene might be also important for osteoporosis phenotypes. To test for such a hypothesis, we performed an association analyses to investigate the relationship between SNPs in FTO and BMD at both hip and spine. A total of 141 SNPs were tested in two independent Chinese populations (818 and 809 unrelated Han subjects, respectively) and a Caucasian population (2,286 unrelated subjects). Combining the two Chinese samples, we identified 6 SNPs in FTO to be significantly associated with hip BMD after multiple testing adjustments, with the combined P values

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