PURPOSE: The purpose of this study was to demonstrate a negative association between intraocular pressure (IOP) and age in 2 Asian populations. In addition, we evaluated genetic and nongenetic factors associated with IOP. DESIGN: Family-based cohort study. PARTICIPANTS: Study subjects >10 years of age from one Korean (The Healthy Twin; n = 1431) and 2 Mongolian populations (The GENDISCAN; n = 859 and 806) with IOP values. METHODS: The IOP values were measured with a noncontact tonometer. Each participant received a standard health examination and received questionnaires, which include candidate risk factors on IOP. Mixed models were used to identify risk factors for IOP. Variance-component methods were applied to estimate the heritability of IOP. MAIN OUTCOME MEASURES: The negative trend of IOP with aging and evaluation of impact of genetic and nongenetic components on IOP. RESULTS: The mean ages were 43.6, 34.1, and 36.3 years for the Korean, Orhontuul, and Dashbalbar populations, respectively. The mean IOPs were 14.4 mmHg (95% confidence interval [CI], 14.3-14.6) in the Koreans and 14.1 mmHg (95% CI, 13.9-14.3) and 12.6 mmHg (95% CI, 12.4-12.9) in the Orhontuul and Dashbalbar populations, respectively. In the 3 populations, the IOP decreased as age increased. We replicated an association of systolic blood pressure (SBP) with IOP. In addition, components of the metabolic syndrome (MS), such as plasma glucose, lipid level, and body mass index, showed positive associations with IOP, after adjusting for age and SBP. The IOP also had strong genetic contributions in all populations (heritability, 0.47-0.51). CONCLUSIONS: Negative associations between age and IOP were observed in all 3 populations, which cannot be explained by the increasing prevalence of myopia in the younger generation. The different age trend in IOP may in part be responsible for differences in the prevalence of glaucoma subtypes. Our findings suggest that associations between IOP and MS components were independent of established risk factors such as SBP or age. In addition, the importance of inherited risks requires further genetic dissection of IOP determinants for biological understandings of underlying pathophysiology. Copyright Â
PURPOSE: The purpose of this study was to demonstrate a negative association between intraocular pressure (IOP) and age in 2 Asian populations. In addition, we evaluated genetic and nongenetic factors associated with IOP. DESIGN: Family-based cohort study. PARTICIPANTS: Study subjects >10 years of age from one Korean (The Healthy Twin; n = 1431) and 2 Mongolian populations (The GENDISCAN; n = 859 and 806) with IOP values. METHODS: The IOP values were measured with a noncontact tonometer. Each participant received a standard health examination and received questionnaires, which include candidate risk factors on IOP. Mixed models were used to identify risk factors for IOP. Variance-component methods were applied to estimate the heritability of IOP. MAIN OUTCOME MEASURES: The negative trend of IOP with aging and evaluation of impact of genetic and nongenetic components on IOP. RESULTS: The mean ages were 43.6, 34.1, and 36.3 years for the Korean, Orhontuul, and Dashbalbar populations, respectively. The mean IOPs were 14.4 mmHg (95% confidence interval [CI], 14.3-14.6) in the Koreans and 14.1 mmHg (95% CI, 13.9-14.3) and 12.6 mmHg (95% CI, 12.4-12.9) in the Orhontuul and Dashbalbar populations, respectively. In the 3 populations, the IOP decreased as age increased. We replicated an association of systolic blood pressure (SBP) with IOP. In addition, components of the metabolic syndrome (MS), such as plasma glucose, lipid level, and body mass index, showed positive associations with IOP, after adjusting for age and SBP. The IOP also had strong genetic contributions in all populations (heritability, 0.47-0.51). CONCLUSIONS: Negative associations between age and IOP were observed in all 3 populations, which cannot be explained by the increasing prevalence of myopia in the younger generation. The different age trend in IOP may in part be responsible for differences in the prevalence of glaucoma subtypes. Our findings suggest that associations between IOP and MS components were independent of established risk factors such as SBP or age. In addition, the importance of inherited risks requires further genetic dissection of IOP determinants for biological understandings of underlying pathophysiology. Copyright Â
Authors: Hassan Hashemi; Mehdi Khabazkhoob; Mohammad Hassan Emamian; Mohammad Shariati; Abbasali Yekta; Akbar Fotouhi Journal: Int J Ophthalmol Date: 2016-08-18 Impact factor: 1.779
Authors: A Bilge Ozel; Sayoko E Moroi; David M Reed; Melisa Nika; Caroline M Schmidt; Sara Akbari; Kathleen Scott; Frank Rozsa; Hemant Pawar; David C Musch; Paul R Lichter; Doug Gaasterland; Kari Branham; Jesse Gilbert; Sarah J Garnai; Wei Chen; Mohammad Othman; John Heckenlively; Anand Swaroop; Gonçalo Abecasis; David S Friedman; Don Zack; Allison Ashley-Koch; Megan Ulmer; Jae H Kang; Yutao Liu; Brian L Yaspan; Jonathan Haines; R Rand Allingham; Michael A Hauser; Louis Pasquale; Janey Wiggs; Julia E Richards; Jun Z Li Journal: Hum Genet Date: 2013-09-04 Impact factor: 4.132
Authors: E F S Castro; C T Mostarda; B Rodrigues; I C Moraes-Silva; D J Feriani; K De Angelis; M C Irigoyen Journal: Braz J Med Biol Res Date: 2015-02-13 Impact factor: 2.590