@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} } @article{OervoessyKoroesiBataryetal.2014, author = {Oervoessy, Noemi and Koroesi, Adam and Batary, Peter and Vozar, Agnes and Peregovits, Laszlo}, title = {Habitat Requirements of the Protected Southern Festoon (Zerynthia Polysena); Adult, Egg and Larval Distribution in a Highly Degraded Habitat Complex}, series = {Acta Zoologica Academiae Scientiarum Hungaricae}, volume = {60}, journal = {Acta Zoologica Academiae Scientiarum Hungaricae}, number = {4}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117810}, pages = {371-387}, year = {2014}, abstract = {Habitat quality affects the presence and size of butterfly populations. Resources for all life stages must be found in a given or few habitat patches. Southern festoon (Zerynthia polyxena) is a vulnerable, but locally abundant species in Hungary. The larva requires birthwort (Aristolochia clematitis) as food plant. We examined the small scale habitat use of adults and distribution of eggs and larvae among different vegetation types to reveal the requirements of the species in all life stages. Transect counts were conducted in a tree plantation complex comprising four types of vegetation. Number (+/- SE) of adults, eggs and larvae were lowest in poplar plantation (adult 0.3 +/- 0.2, egg 1.1 +/- 1.1, larva 0.6 +/- 0.3). Medium amount of butterflies were observed in open (adult 8.3 +/- 2.9, egg 3.1 +/- 2.6, larva 3.1 +/- 1.9) and black-locust (adult 9.4 +/- 4.2, egg 12.7 +/- 4.9, larva 4.1 +/- 1.1) habitat. Number of butterflies was highest in hummocks (adult 13.5 +/- 1.5, egg 12.9 +/- 5.7, larva 8.4 +/- 2.1). Adults avoided bare ground. We encountered most eggs in dense food plant patches with high plants. Food plant height also positively influenced the occurrence of the larvae. Although distribution of adults and juvenile forms showed quite similar patterns, we could also reveal some differences that caused by different environmental conditions in distinct vegetation types. Our study stresses the importance of habitat quality, which affects population size of butterflies even in a highly degraded habitat complex.}, language = {en} } @article{MitchellMacarthurGanetal.2014, author = {Mitchell, Anna L. and Macarthur, Katie D. R. and Gan, Earn H. and Baggott, Lucy E. and Wolff, Anette S. B. and Skinningsrud, Beate and Platt, Hazel and Short, Andrea and Lobell, Anna and Kampe, Olle and Bensing, Sophie and Betterle, Corrado and Kasperlik-Zaluska, Anna and Zurawek, Magdalena and Fichna, Marta and Kockum, Ingrid and Eriksson, Gabriel Nordling and Ekwall, Olov and Wahlberg, Jeanette and Dahlqvist, Per and Hulting, Anna-Lena and Penna-Martinez, Marissa and Meyer, Gesine and Kahles, Heinrich and Badenhoop, Klaus and Hahner, Stephanie and Quinkler, Marcus and Falorni, Alberto and Phipps-Green, Amanda and Merriman, Tony R. and Ollier, William and Cordell, Heather J. and Undlien, Dag and Czarnocka, Barbara and Husebye, Eystein and Pearce, Simon H. S.}, title = {Association of Autoimmune Addison's Disease with Alleles of STAT4 and GATA3 in European Cohorts}, series = {PLOS ONE}, volume = {9}, journal = {PLOS ONE}, number = {3}, doi = {10.1371/journal.pone.0088991}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117105}, pages = {e88991}, year = {2014}, abstract = {Background: Gene variants known to contribute to Autoimmune Addison's disease (AAD) susceptibility include those at the MHC, MICA, CIITA, CTLA4, PTPN22, CYP27B1, NLRP-1 and CD274 loci. The majority of the genetic component to disease susceptibility has yet to be accounted for. Aim: To investigate the role of 19 candidate genes in AAD susceptibility in six European case-control cohorts. Methods: A sequential association study design was employed with genotyping using Sequenom iPlex technology. In phase one, 85 SNPs in 19 genes were genotyped in UK and Norwegian AAD cohorts (691 AAD, 715 controls). In phase two, 21 SNPs in 11 genes were genotyped in German, Swedish, Italian and Polish cohorts (1264 AAD, 1221 controls). In phase three, to explore association of GATA3 polymorphisms with AAD and to determine if this association extended to other autoimmune conditions, 15 SNPs in GATA3 were studied in UK and Norwegian AAD cohorts, 1195 type 1 diabetes patients from Norway, 650 rheumatoid arthritis patients from New Zealand and in 283 UK Graves' disease patients. Meta-analysis was used to compare genotype frequencies between the participating centres, allowing for heterogeneity. Results: We report significant association with alleles of two STAT4 markers in AAD cohorts (rs4274624: P = 0.00016; rs10931481: P = 0.0007). In addition, nominal association of AAD with alleles at GATA3 was found in 3 patient cohorts and supported by meta-analysis. Association of AAD with CYP27B1 alleles was also confirmed, which replicates previous published data. Finally, nominal association was found at SNPs in both the NF-kappa B1 and IL23A genes in the UK and Italian cohorts respectively. Conclusions: Variants in the STAT4 gene, previously associated with other autoimmune conditions, confer susceptibility to AAD. Additionally, we report association of GATA3 variants with AAD: this adds to the recent report of association of GATA3 variants with rheumatoid arthritis.}, language = {en} } @article{EiseleBlozikStoerketal.2013, author = {Eisele, Marion and Blozik, Eva and St{\"o}rk, Stefan and Tr{\"a}der, Jens-Martin and Herrmann-Lingen, Christoph and Scherer, Martin}, title = {Recognition of depression and anxiety and their association with quality of life, hospitalization and mortality in primary care patients with heart failure - study protocol of a longitudinal observation study}, series = {BMC Family Practice}, volume = {14}, journal = {BMC Family Practice}, number = {180}, issn = {1471-2296}, doi = {10.1186/1471-2296-14-180}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121881}, year = {2013}, abstract = {Background: International disease management guidelines recommend the regular assessment of depression and anxiety in heart failure patients. Currently there is little data on the effect of screening for depression and anxiety on the quality of life and the prognosis of heart failure (HF). We will investigate the association between the recognition of current depression/anxiety by the general practitioner (GP) and the quality of life and the patients' prognosis. Methods/Design: In this multicenter, prospective, observational study 3,950 patients with HF are recruited by general practices in Germany. The patients fill out questionnaires at baseline and 12-month follow-up. At baseline the GPs are interviewed regarding the somatic and psychological comorbidities of their patients. During the follow-up assessment, data on hospitalization and mortality are provided by the general practice. Based on baseline data, the patients are allocated into three observation groups: HF patients with depression and/or anxiety recognized by their GP (P+/+), those with depression and/or anxiety not recognized (P+/-) and patients without depression and/or anxiety (P-/-). We will perform multivariate regression models to investigate the influence of the recognition of depression and/or anxiety on quality of life at 12 month follow-up, as well as its influences on the prognosis (hospital admission, mortality). Discussion: We will display the frequency of GP-acknowledged depression and anxiety and the frequency of installed therapeutic strategies. We will also describe the frequency of depression and anxiety missed by the GP and the resulting treatment gap. Effects of correctly acknowledged and missed depression/anxiety on outcome, also in comparison to the outcome of subjects without depression/anxiety will be addressed. In case results suggest a treatment gap of depression/anxiety in patients with HF, the results of this study will provide methodological advice for the efficient planning of further interventional research.}, language = {en} } @article{CouchWangMcGuffogetal.2013, author = {Couch, Fergus J. and Wang, Xianshu and McGuffog, Lesley and Lee, Andrew and Olswold, Curtis and Kuchenbaecker, Karoline B. and Soucy, Penny and Fredericksen, Zachary and Barrowdale, Daniel and Dennis, Joe and Gaudet, Mia M. and Dicks, Ed and Kosel, Matthew and Healey, Sue and Sinilnikova, Olga M. and Lee, Adam and Bacot, Fran{\c{c}}ios and Vincent, Daniel and Hogervorst, Frans B. L. and Peock, Susan and Stoppa-Lyonnet, Dominique and Jakubowska, Anna and Radice, Paolo and Schmutzler, Rita Katharina and Domchek, Susan M. and Piedmonte, Marion and Singer, Christian F. and Friedman, Eitan and Thomassen, Mads and Hansen, Thomas V. O. and Neuhausen, Susan L. and Szabo, Csilla I. and Blanco, Ingnacio and Greene, Mark H. and Karlan, Beth Y. and Garber, Judy and Phelan, Catherine M. and Weitzel, Jeffrey N. and Montagna, Marco and Olah, Edith and Andrulis, Irene L. and Godwin, Andrew K. and Yannoukakos, Drakoulis and Goldgar, David E. and Caldes, Trinidad and Nevanlinna, Heli and Osorio, Ana and Terry, Mary Beth and Daly, Mary B. and van Rensburg, Elisabeth J. and Hamann, Ute and Ramus, Susan J. and Toland, Amanda Ewart and Caligo, Maria A. and Olopade, Olufunmilayo I. and Tung, Nadine and Claes, Kathleen and Beattie, Mary S. and Southey, Melissa C. and Imyanitov, Evgeny N. and Tischkowitz, Marc and Janavicius, Ramunas and John, Esther M. and Kwong, Ava and Diez, Orland and Kwong, Ava and Balma{\~n}a, Judith and Barkardottir, Rosa B. and Arun, Banu K. and Rennert, Gad and Teo, Soo-Hwang and Ganz, Patricia A. and Campbell, Ian and van der Hout, Annemarie H. and van Deurzen, Carolien H. M. and Seynaeve, Caroline and Garcia, Encarna B. G{\´o}mez and van Leeuwen, Flora E. and Meijers-Heijboer, Hanne E. J. and Gille, Johannes J. P. and Ausems, Magreet G. E. M. and Blok, Marinus J. and Ligtenberg, Marjolinjin J. L. and Rookus, Matti A. and Devilee, Peter and Verhoef, Senno and van Os, Theo A. M. and Wijnen, Juul T. and Frost, Debra and Ellis, Steve and Fineberg, Elena and Platte, Radke and Evans, D. Gareth and Izatt, Luise and Eeles, Rosalind A. and Adlard, Julian and Eccles, Diana M. and Cook, Jackie and Brewer, Carole and Douglas, Fiona and Hodgson, Shirley and Morrison, Patrick J. and Side, Lucy E. and Donaldson, Alan and Houghton, Catherine and Rogers, Mark T. and Dorkins, Huw and Eason, Jacqueline and Gregory, Helen and McCann, Emma and Murray, Alex and Calender, Alain and Hardouin, Agn{\`e}s and Berthet, Pascaline and Delnatte, Capucine and Nogues, Catherine and Lasset, Christine and Houdayer, Claude and Leroux,, Dominique and Rouleau, Etienne and Prieur, Fabienne and Damiola, Francesca and Sobol, Hagay and Coupier, Isabelle and Venat-Bouvet, Laurence and Castera, Laurent and Gauthier-Villars, Marion and L{\´e}on{\´e}, M{\´e}lanie and Pujol, Pascal and Mazoyer, Sylvie and Bignon, Yves-Jean and Zlowocka-Perlowska, Elzbieta and Gronwald, Jacek and Lubinski,, Jan and Durda, Katarzyna and Jaworska, Katarzyna and Huzarski, Tomasz and Spurdle, Amanda B. and Viel, Alessandra and Peissel, Bernhard and Bonanni, Bernardo and Melloni, Guilia and Ottini, Laura and Papi, Laura and Varesco, Liliana and Tibiletti, Maria Grazia and Peterlongo, Paolo and Volorio, Sara and Manoukian, Siranoush and Pensotti, Valeria and Arnold, Norbert and Engel, Christoph and Deissler, Helmut and Gadzicki, Dorothea and Gehrig, Andrea and Kast, Karin and Rhiem, Kerstin and Meindl, Alfons and Niederacher, Dieter and Ditsch, Nina and Plendl, Hansjoerg and Preisler-Adams, Sabine and Engert, Stefanie and Sutter, Christian and Varon-Mateeva, Raymenda and Wappenschmidt, Barbara and Weber, Bernhard H. F. and Arver, Brita and Stenmark-Askmalm, Marie and Loman, Niklas and Rosenquist, Richard and Einbeigi, Zakaria and Nathanson, Katherine L. and Rebbeck, Timothy R. and Blank, Stephanie V. and Cohn, David E. and Rodriguez, Gustavo C. and Small, Laurie and Friedlander, Michael and Bae-Jump, Victoria L. and Fink-Retter, Anneliese and Rappaport, Christine and Gschwantler-Kaulich, Daphne and Pfeiler, Georg and Tea, Muy-Kheng and Lindor, Noralane M. and Kaufman, Bella and Paluch, Shani Shimon and Laitman, Yael and Skytte, Anne-Bine and Gerdes, Anne-Marie and Pedersen, Inge Sokilde and Moeller, Sanne Traasdahl and Kruse, Torben A. and Jensen, Uffe Birk and Vijai, Joseph and Sarrel, Kara and Robson, Mark and Kauff, Noah and Mulligan, Anna Marie and Glendon, Gord and Ozcelik, Hilmi and Ejlertsen, Bent and Nielsen, Finn C. and J{\o}nson, Lars and Andersen, Mette K. and Ding, Yuan Chun and Steele, Linda and Foretova, Lenka and Teul{\´e}, Alex and Lazaro, Conxi and Brunet, Joan and Pujana, Miquel Angel and Mai, Phuong L. and Loud, Jennifer T. and Walsh, Christine and Lester, Jenny and Orsulic, Sandra and Narod, Steven A. and Herzog, Josef and Sand, Sharon R. and Tognazzo, Silvia and Agata, Simona and Vaszko, Tibor and Weaver, Joellen and Stravropoulou, Alexandra V. and Buys, Saundra S. and Romero, Atocha and de la Hoya, Miguel and Aittom{\"a}ki, Kristiina and Muranen, Taru A. and Duran, Mercedes and Chung, Wendy K. and Lasa, Adriana and Dorfling, Cecilia M. and Miron, Alexander and Benitez, Javier and Senter, Leigha and Huo, Dezheng and Chan, Salina B. and Sokolenko, Anna P. and Chiquette, Jocelyne and Tihomirova, Laima and Friebel, Tara M. and Agnarsson, Bjarne A. and Lu, Karen H. and Lejbkowicz, Flavio and James, Paul A. and Hall, Per and Dunning, Alison M. and Tessier, Daniel and Cunningham, Julie and Slager, Susan L. and Chen, Wang and Hart, Steven and Stevens, Kristen and Simard, Jacques and Pastinen, Tomi and Pankratz, Vernon S. and Offit, Kenneth and Easton, Douglas F. and Chenevix-Trench, Georgia and Antoniou, Antonis C.}, title = {Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk}, series = {PLOS Genetics}, volume = {9}, journal = {PLOS Genetics}, number = {3}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003212}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-127947}, pages = {e1003212}, year = {2013}, abstract = {BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 x 10(-8), HR = 1.14, 95\% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 x 10(-8), HR = 1.27, 95\% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 x 10(-8), HR = 1.20, 95\% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2 x 10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5\% of BRCA1 carriers at lowest risk are 28\%-50\% compared to 81\%-100\% for the 5\% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5\% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28\% or lower, whereas the 5\% at highest risk will have a risk of 63\% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.}, language = {en} } @article{BiernackaSangkuhlJenkinsetal.2015, author = {Biernacka, J. M. and Sangkuhl, K. and Jenkins, G. and Whaley, R. M. and Barman, P. and Batzler, A. and Altman, R. B. and Arolt, V. and Brockm{\"o}ller, J. and Chen, C. H. and Domschke, K. and Hall-Flavin, D. K. and Hong, C. J. and Illi, A. and Ji, Y. and Kampman, O. and Kinoshita, T. and Leinonen, E. and Liou, Y. J. and Mushiroda, T. and Nonen, S. and Skime, M. K. and Wang, L. and Baune, B. T. and Kato, M. and Liu, Y. L. and Praphanphoj, V. and Stingl, J. C. and Tsai, S. J. and Kubo, M. and Klein, T. E. and Weinshilboum, R.}, title = {The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response}, series = {Translational Psychiatry}, volume = {5}, journal = {Translational Psychiatry}, number = {e553}, doi = {10.1038/tp.2015.47}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143223}, year = {2015}, abstract = {Response to treatment with selective serotonin reuptake inhibitors (SSRIs) varies considerably between patients. The International SSRI Pharmacogenomics Consortium (ISPC) was formed with the primary goal of identifying genetic variation that may contribute to response to SSRI treatment of major depressive disorder. A genome-wide association study of 4-week treatment outcomes, measured using the 17-item Hamilton Rating Scale for Depression (HRSD-17), was performed using data from 865 subjects from seven sites. The primary outcomes were percent change in HRSD-17 score and response, defined as at least 50\% reduction in HRSD-17. Data from two prior studies, the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study (PGRN-AMPS) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, were used for replication, and a meta-analysis of the three studies was performed (N = 2394). Although many top association signals in the ISPC analysis map to interesting candidate genes, none were significant at the genome-wide level and the associations were not replicated using PGRN-AMPS and STAR*D data. Top association results in the meta-analysis of response included single-nucleotide polymorphisms (SNPs) in the HPRTP4 (hypoxanthine phosphoribosyltransferase pseudogene 4)/VSTM5 (V-set and transmembrane domain containing 5) region, which approached genome-wide significance (P = 5.03E - 08) and SNPs 5' upstream of the neuregulin-1 gene, NRG1 (P = 1.20E - 06). NRG1 is involved in many aspects of brain development, including neuronal maturation and variations in this gene have been shown to be associated with increased risk for mental disorders, particularly schizophrenia. Replication and functional studies of these findings are warranted.}, language = {en} } @article{BenderRothJob2017, author = {Bender, Oliver and Roth, Charlotte E. and Job, Hubert}, title = {Protected areas and population development in the alps}, series = {eco.mont : Journal on Protected Mountain Areas Research and Management}, volume = {9}, journal = {eco.mont : Journal on Protected Mountain Areas Research and Management}, number = {Special issue}, doi = {10.1553/eco.mont-9-sis5}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-181901}, year = {2017}, abstract = {Nearly a quarter of the Alpine area is covered by a dense network of large protected areas (LPAs) of the four categories national park(NP), biosphere reserve (BR), nature park and world natural heritage site (WNHS). From the time of early industrialization, the Alpine area has undergone a mixed and increasingly polarized demographic development between the poles of immigration and emigration. This article investigates the possible mutual impact of population development and the existence of LPAs. The research design includes a quantitative survey of all Alpine LPAs in terms of their population development and the structure of immigration in the first decade of the 21st century. This will be linked with qualitative expert interviews in four selected NPs. The overall results allow an interpretation of the statistical correlations between type of LPA and migration.}, language = {en} }