@article{GrassmannFritscheKeilhaueretal.2012,
  author    = {Grassmann, Felix and Fritsche, Lars G. and Keilhauer, Claudia N. and Heid, Iris M. and Weber, Bernhard H. F.},
  title     = {Modelling the Genetic Risk in Age-Related Macular Degeneration},
  series = {PLoS One},
  volume    = {7},
  journal   = {PLoS One},
  number    = {5},
  doi       = {10.1371/journal.pone.0037979},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131315},
  pages     = {e37979},
  year      = {2012},
  abstract  = {Late-stage age-related macular degeneration (AMD) is a common sight-threatening disease of the central retina affecting approximately 1 in 30 Caucasians. Besides age and smoking, genetic variants from several gene loci have reproducibly been associated with this condition and likely explain a large proportion of disease. Here, we developed a genetic risk score (GRS) for AMD based on 13 risk variants from eight gene loci. The model exhibited good discriminative accuracy, area-under-curve (AUC) of the receiver-operating characteristic of 0.820, which was confirmed in a cross-validation approach. Noteworthy, younger AMD patients aged below 75 had a significantly higher mean GRS (1.87, 95\% CI: 1.69-2.05) than patients aged 75 and above (1.45, 95\% CI: 1.36-1.54). Based on five equally sized GRS intervals, we present a risk classification with a relative AMD risk of 64.0 (95\% CI: 14.11-1131.96) for individuals in the highest category (GRS 3.44-5.18, 0.5\% of the general population) compared to subjects with the most common genetic background (GRS -0.05-1.70, 40.2\% of general population). The highest GRS category identifies AMD patients with a sensitivity of 7.9\% and a specificity of 99.9\% when compared to the four lower categories. Modeling a general population around 85 years of age, 87.4\% of individuals in the highest GRS category would be expected to develop AMD by that age. In contrast, only 2.2\% of individuals in the two lowest GRS categories which represent almost 50\% of the general population are expected to manifest AMD. Our findings underscore the large proportion of AMD cases explained by genetics particularly for younger AMD patients. The five-category risk classification could be useful for therapeutic stratification or for diagnostic testing purposes once preventive treatment is available.},
  language  = {en}
}
@article{VandeKerkhofFeenstravanderHeijdenetal.2012,
  author    = {Van de Kerkhof, Noortje W. A. and Feenstra, Ilse and van der Heijden, Frank M. M. A. and de Leeuw, Nicole and Pfundt, Rolph and St{\"o}ber, Gerald and Egger, Jos I. M. and Verhoeven, Willem M. A.},
  title     = {Copy number variants in a sample of patients with psychotic disorders: is standard screening relevant for actual clinical practice?},
  series = {Neuropsychiatric Disease and Treatment},
  volume    = {8},
  journal   = {Neuropsychiatric Disease and Treatment},
  doi       = {10.2147/NDT.S32903},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-134769},
  pages     = {295-300},
  year      = {2012},
  abstract  = {With the introduction of new genetic techniques such as genome-wide array comparative genomic hybridization, studies on the putative genetic etiology of schizophrenia have focused on the detection of copy number variants (CNVs), ie, microdeletions and/or microduplications, that are estimated to be present in up to 3\% of patients with schizophrenia. In this study, out of a sample of 100 patients with psychotic disorders, 80 were investigated by array for the presence of CNVs. The assessment of the severity of psychiatric symptoms was performed using standardized instruments and ICD-10 was applied for diagnostic classification. In three patients, a submicroscopic CNV was demonstrated, one with a loss in 1q21.1 and two with a gain in 1p13.3 and 7q11.2, respectively. The association between these or other CNVs and schizophrenia or schizophrenia-like psychoses and their clinical implications still remain equivocal. While the CNV affected genes may enhance the vulnerability for psychiatric disorders via effects on neuronal architecture, these insights have not resulted in major changes in clinical practice as yet. Therefore, genome-wide array analysis should presently be restricted to those patients in whom psychotic symptoms are paired with other signs, particularly dysmorphisms and intellectual impairment.},
  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}
}