@article{ZhaoYuHuetal.2015,
  author    = {Zhao, De-Wei and Yu, Mang and Hu, Kai and Wang, Wei and Yang, Lei and Wang, Ben-Jie and Gao, Xiao-Hong and Guo, Yong-Ming and Xu, Yong-Qing and Wei, Yu-Shan and Tian, Si-Miao and Yang, Fan and Wang, Nan and Huang, Shi-Bo and Xie, Hui and Wei, Xiao-Wei and Jiang, Hai-Shen and Zang, Yu-Qiang and Ai, Jun and Chen, Yuan-Liang and Lei, Guang-Hua and Li, Yu-Jin and Tian, Geng and Li, Zong-Sheng and Cao, Yong and Ma, Li},
  title     = {Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey},
  series = {Chinese Medical Journal},
  volume    = {128},
  journal   = {Chinese Medical Journal},
  number    = {21},
  doi       = {10.4103/0366-6999.168017},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-138482},
  pages     = {2843-2850},
  year      = {2015},
  abstract  = {Background: Nontraumatic osteonecrosis of the femoral head (NONFH) is a debilitating disease that represents a significant financial burden for both individuals and healthcare systems. Despite its significance, however, its prevalence in the Chinese general population remains unknown. This study aimed to investigate the prevalence of NONFH and its associated risk factors in the Chinese population. Methods: A nationally representative survey of 30,030 respondents was undertaken from June 2012 to August 2013. All participants underwent a questionnaire investigation, physical examination of hip, and bilateral hip joint X-ray and/or magnetic resonance imaging examination. Blood samples were taken after overnight fasting to test serum total cholesterol, triglyceride, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels. We then used multivariate logistic regression analysis to investigate the associations between various metabolic, demographic, and lifestyle-related variables and NONFH. Results: NONFH was diagnosed in 218 subjects (0.725\%) and the estimated NONFH cases were 8.12 million among Chinese people aged 15 years and over. The prevalence of NONFH was significantly higher in males than in females (1.02\% vs. 0.51\%, \(\chi^2\) = 24.997, P < 0.001). Among NONFH patients, North residents were subjected to higher prevalence of NONFH than that of South residents (0.85\% vs. 0.61\%, \(\chi^2\) = 5.847, P = 0.016). Our multivariate regression analysis showed that high blood levels of triglycerides, total cholesterol, LDL-cholesterol, and non-HDL-cholesterol, male, urban residence, family history of osteonecrosis of the femoral head, heavy smoking, alcohol abuse and glucocorticoid intake, overweight, and obesity were all significantly associated with an increased risk of NONFH. Conclusions: Our findings highlight that NONFH is a significant public health challenge in China and underscore the need for policy measures on the national level. Furthermore, NONFH shares a number of risk factors with atherosclerosis.},
  language  = {en}
}
@article{vanKoolwijkRamdasIkrametal.2012,
  author    = {van Koolwijk, Leonieke M. E. and Ramdas, Wishal D. and Ikram, M. Kamran and Jansonius, Nomdo M. and Pasutto, Francesca and Hys, Pirro G. and Macgregor, Stuart and Janssen, Sarah F. and Hewitt, Alex W. and Viswanathan, Ananth C. and ten Brink, Jacoline B. and Hosseini, S. Mohsen and Amin, Najaf and Despriet, Dominiek D. G. and Willemse-Assink, Jacqueline J. M. and Kramer, Rogier and Rivadeneira, Fernando and Struchalin, Maksim and Aulchenko, Yurii S. and Weisschuh, Nicole and Zenkel, Matthias and Mardin, Christian Y. and Gramer, Eugen and Welge-L{\"u}ssen, Ulrich and Montgomery, Grant W. and Carbonaro, Francis and Young, Terri L. and Bellenguez, C{\´e}line and McGuffin, Peter and Foster, Paul J. and Topouzis, Fotis and Mitchell, Paul and Wang, Jie Jin and Wong, Tien Y. and Czudowska, Monika A. and Hofman, Albert and Uitterlinden, Andre G. and Wolfs, Roger C. W. and de Jong, Paulus T. V. M. and Oostra, Ben A. and Paterson, Andrew D. and Mackey, David A. and Bergen, Arthur A. B. and Reis, Andre and Hammond, Christopher J. and Vingerling, Johannes R. and Lemij, Hans G. and Klaver, Caroline C. W. and van Duijn, Cornelia M.},
  title     = {Common Genetic Determinants of Intraocular Pressure and Primary Open-Angle Glaucoma},
  series = {PLoS Genetics},
  volume    = {8},
  journal   = {PLoS Genetics},
  number    = {5},
  doi       = {10.1371/journal.pgen.1002611},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131378},
  pages     = {e1002611},
  year      = {2012},
  abstract  = {Intraocular pressure (IOP) is a highly heritable risk factor for primary open-angle glaucoma and is the only target for current glaucoma therapy. The genetic factors which determine IOP are largely unknown. We performed a genome-wide association study for IOP in 11,972 participants from 4 independent population-based studies in The Netherlands. We replicated our findings in 7,482 participants from 4 additional cohorts from the UK, Australia, Canada, and the Wellcome Trust Case-Control Consortium 2/Blue Mountains Eye Study. IOP was significantly associated with rs11656696, located in GAS7 at 17p13.1 (p = 1.4 x 10\(^{-8}\)), and with rs7555523, located in TMCO1 at 1q24.1 (p = 1.6 x 10\(^{-8}\)). In a meta-analysis of 4 case-control studies (total N = 1,432 glaucoma cases), both variants also showed evidence for association with glaucoma (p = 2.4 x 10\(^{-2}\) for rs11656696 and p = 9.1 x 10\(^{-4}\) for rs7555523). GAS7 and TMCO1 are highly expressed in the ciliary body and trabecular meshwork as well as in the lamina cribrosa, optic nerve, and retina. Both genes functionally interact with known glaucoma disease genes. These data suggest that we have identified two clinically relevant genes involved in IOP regulation.},
  language  = {en}
}