@misc{HetenyiMolinariClintonetal.2018, author = {Hetenyi, Gyorgy and Molinari, Irene and Clinton, John and Bokelmann, Gotz and Bondar, Istvan and Crawford, Wayne C. and Dessa, Jean-Xavier and Doubre, Cecile and Friederich, Wolfgang and Fuchs, Florian and Giardini, Domenico and Graczer, Zoltan and Handy, Mark R. and Herak, Marijan and Jia, Yan and Kissling, Edi and Kopp, Heidrun and Korn, Michael and Margheriti, Lucia and Meier, Thomas and Mucciarelli, Marco and Paul, Anne and Pesaresi, Damiano and Piromallo, Claudia and Plenefisch, Thomas and Plomerova, Jaroslava and Ritter, Joachim and Rumpker, Georg and Sipka, Vesna and Spallarossa, Daniele and Thomas, Christine and Tilmann, Frederik and Wassermann, Joachim and Weber, Michael and Weber, Zoltan and Wesztergom, Viktor and Zivcic, Mladen and Abreu, Rafael and Allegretti, Ivo and Apoloner, Maria-Theresia and Aubert, Coralie and Besancon, Simon and de Berc, Maxime Bes and Brunel, Didier and Capello, Marco and Carman, Martina and Cavaliere, Adriano and Cheze, Jerome and Chiarabba, Claudio and Cougoulat, Glenn and Cristiano, Luigia and Czifra, Tibor and Danesi, Stefania and Daniel, Romuald and Dannowski, Anke and Dasovic, Iva and Deschamps, Anne and Egdorf, Sven and Fiket, Tomislav and Fischer, Kasper and Funke, Sigward and Govoni, Aladino and Groschl, Gidera and Heimers, Stefan and Heit, Ben and Herak, Davorka and Huber, Johann and Jaric, Dejan and Jedlicka, Petr and Jund, Helene and Klingen, Stefan and Klotz, Bernhard and Kolinsky, Petr and Kotek, Josef and Kuhne, Lothar and Kuk, Kreso and Lange, Dietrich and Loos, Jurgen and Lovati, Sara and Malengros, Deny and Maron, Christophe and Martin, Xavier and Massa, Marco and Mazzarini, Francesco and Metral, Laurent and Moretti, Milena and Munzarova, Helena and Nardi, Anna and Pahor, Jurij and Pequegnat, Catherine and Petersen, Florian and Piccinini, Davide and Pondrelli, Silvia and Prevolnik, Snjezan and Racine, Roman and Regnier, Marc and Reiss, Miriam and Salimbeni, Simone and Santulin, Marco and Scherer, Werner and Schippkus, Sven and Schulte-Kortnack, Detlef and Solarino, Stefano and Spieker, Kathrin and Stipcevic, Josip and Strollo, Angelo and Sule, Balint and Szanyi, Gyongyver and Szucs, Eszter and Thorwart, Martin and Ueding, Stefan and Vallocchia, Massimiliano and Vecsey, Ludek and Voigt, Rene and Weidle, Christian and Weyland, Gauthier and Wiemer, Stefan and Wolf, Felix and Wolyniec, David and Zieke, Thomas}, title = {The AlpArray seismic network}, series = {Surveys in Geophysics}, volume = {39}, journal = {Surveys in Geophysics}, number = {5}, publisher = {Springer}, address = {Dordrecht}, organization = {ETHZ SED Elect Lab AlpArray Seismic Network Team AlpArray OBS Cruise Crew AlpArray Working Grp}, issn = {0169-3298}, doi = {10.1007/s10712-018-9472-4}, pages = {1009 -- 1033}, year = {2018}, abstract = {The AlpArray programme is a multinational, European consortium to advance our understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations, surface processes and seismic hazard in the Alps-Apennines-Carpathians-Dinarides orogenic system. The AlpArray Seismic Network has been deployed with contributions from 36 institutions from 11 countries to map physical properties of the lithosphere and asthenosphere in 3D and thus to obtain new, high-resolution geophysical images of structures from the surface down to the base of the mantle transition zone. With over 600 broadband stations operated for 2 years, this seismic experiment is one of the largest simultaneously operated seismological networks in the academic domain, employing hexagonal coverage with station spacing at less than 52 km. This dense and regularly spaced experiment is made possible by the coordinated coeval deployment of temporary stations from numerous national pools, including ocean-bottom seismometers, which were funded by different national agencies. They combine with permanent networks, which also required the cooperation of many different operators. Together these stations ultimately fill coverage gaps. Following a short overview of previous large-scale seismological experiments in the Alpine region, we here present the goals, construction, deployment, characteristics and data management of the AlpArray Seismic Network, which will provide data that is expected to be unprecedented in quality to image the complex Alpine mountains at depth.}, language = {en} } @article{TaalStPourcainThieringetal.2012, author = {Taal, H. Rob and St Pourcain, Beate and Thiering, Elisabeth and Das, Shikta and Mook-Kanamori, Dennis O. and Warrington, Nicole M. and Kaakinen, Marika and Kreiner-Moller, Eskil and Bradfield, Jonathan P. and Freathy, Rachel M. and Geller, Frank and Guxens, Monica and Cousminer, Diana L. and Kerkhof, Marjan and Timpson, Nicholas J. and Ikram, M. Arfan and Beilin, Lawrence J. and Bonnelykke, Klaus and Buxton, Jessica L. and Charoen, Pimphen and Chawes, Bo Lund Krogsgaard and Eriksson, Johan and Evans, David M. and Hofman, Albert and Kemp, John P. and Kim, Cecilia E. and Klopp, Norman and Lahti, Jari and Lye, Stephen J. and McMahon, George and Mentch, Frank D. and Mueller-Nurasyid, Martina and O'Reilly, Paul F. and Prokopenko, Inga and Rivadeneira, Fernando and Steegers, Eric A. P. and Sunyer, Jordi and Tiesler, Carla and Yaghootkar, Hanieh and Breteler, Monique M. B. and Debette, Stephanie and Fornage, Myriam and Gudnason, Vilmundur and Launer, Lenore J. and van der Lugt, Aad and Mosley, Thomas H. and Seshadri, Sudha and Smith, Albert V. and Vernooij, Meike W. and Blakemore, Alexandra I. F. and Chiavacci, Rosetta M. and Feenstra, Bjarke and Fernandez-Banet, Julio and Grant, Struan F. A. and Hartikainen, Anna-Liisa and van der Heijden, Albert J. and Iniguez, Carmen and Lathrop, Mark and McArdle, Wendy L. and Molgaard, Anne and Newnham, John P. and Palmer, Lyle J. and Palotie, Aarno and Pouta, Annneli and Ring, Susan M. and Sovio, Ulla and Standl, Marie and Uitterlinden, Andre G. and Wichmann, H-Erich and Vissing, Nadja Hawwa and DeCarli, Charles and van Duijn, Cornelia M. and McCarthy, Mark I. and Koppelman, Gerard H. and Estivill, Xavier and Hattersley, Andrew T. and Melbye, Mads and Bisgaard, Hans and Pennell, Craig E. and Widen, Elisabeth and Hakonarson, Hakon and Smith, George Davey and Heinrich, Joachim and Jarvelin, Marjo-Riitta and Jaddoe, Vincent W. V. and Adair, Linda S. and Ang, Wei and Atalay, Mustafa and van Beijsterveldt, Toos and Bergen, Nienke and Benke, Kelly and Berry, Diane J. and Bradfield, Jonathan P. and Charoen, Pimphen and Coin, Lachlan and Cousminer, Diana L. and Das, Shikta and Davis, Oliver S. P. and Elliott, Paul and Evans, David M. and Feenstra, Bjarke and Flexeder, Claudia and Frayling, Tim and Freathy, Rachel M. and Gaillard, Romy and Geller, Frank and Groen-Blokhuis, Maria and Goh, Liang-Kee and Guxens, Monica and Haworth, Claire M. A. and Hadley, Dexter and Hebebrand, Johannes and Hinney, Anke and Hirschhorn, Joel N. and Holloway, John W. and Holst, Claus and Hottenga, Jouke Jan and Horikoshi, Momoko and Huikari, Ville and Hypponen, Elina and Iniguez, Carmen and Kaakinen, Marika and Kilpelainen, Tuomas O. and Kirin, Mirna and Kowgier, Matthew and Lakka, Hanna-Maaria and Lange, Leslie A. and Lawlor, Debbie A. and Lehtimaki, Terho and Lewin, Alex and Lindgren, Cecilia and Lindi, Virpi and Maggi, Reedik and Marsh, Julie and Middeldorp, Christel and Millwood, Iona and Mook-Kanamori, Dennis O. and Murray, Jeffrey C. and Nivard, Michel and Nohr, Ellen Aagaard and Ntalla, Ioanna and Oken, Emily and O'Reilly, Paul F. and Palmer, Lyle J. and Panoutsopoulou, Kalliope and Pararajasingham, Jennifer and Prokopenko, Inga and Rodriguez, Alina and Salem, Rany M. and Sebert, Sylvain and Siitonen, Niina and Sovio, Ulla and St Pourcain, Beate and Strachan, David P. and Sunyer, Jordi and Taal, H. Rob and Teo, Yik-Ying and Thiering, Elisabeth and Tiesler, Carla and Uitterlinden, Andre G. and Valcarcel, Beatriz and Warrington, Nicole M. and White, Scott and Willemsen, Gonneke and Yaghootkar, Hanieh and Zeggini, Eleftheria and Boomsma, Dorret I. and Cooper, Cyrus and Estivill, Xavier and Gillman, Matthew and Grant, Struan F. A. and Hakonarson, Hakon and Hattersley, Andrew T. and Heinrich, Joachim and Hocher, Berthold and Jaddoe, Vincent W. V. and Jarvelin, Marjo-Riitta and Lakka, Timo A. and McCarthy, Mark I. and Melbye, Mads and Mohlke, Karen L. and Dedoussis, George V. and Ong, Ken K. and Pearson, Ewan R. and Pennell, Craig E. and Price, Thomas S. and Power, Chris and Raitakari, Olli T. and Saw, Seang-Mei and Scherag, Andre and Simell, Olli and Sorensen, Thorkild I. A. and Timpson, Nicholas J. and Widen, Elisabeth and Wilson, James F. and Ang, Wei and van Beijsterveldt, Toos and Bergen, Nienke and Benke, Kelly and Berry, Diane J. and Bradfield, Jonathan P. and Charoen, Pimphen and Coin, Lachlan and Cousminer, Diana L. and Das, Shikta and Elliott, Paul and Evans, David M. and Frayling, Tim and Freathy, Rachel M. and Gaillard, Romy and Groen-Blokhuis, Maria and Guxens, Monica and Hadley, Dexter and Hottenga, Jouke Jan and Huikari, Ville and Hypponen, Elina and Kaakinen, Marika and Kowgier, Matthew and Lawlor, Debbie A. and Lewin, Alex and Lindgren, Cecilia and Marsh, Julie and Middeldorp, Christel and Millwood, Iona and Mook-Kanamori, Dennis O. and Nivard, Michel and O'Reilly, Paul F. and Palmer, Lyle J. and Prokopenko, Inga and Rodriguez, Alina and Sebert, Sylvain and Sovio, Ulla and St Pourcain, Beate and Standl, Marie and Strachan, David P. and Sunyer, Jordi and Taal, H. Rob and Thiering, Elisabeth and Tiesler, Carla and Uitterlinden, Andre G. and Valcarcel, Beatriz and Warrington, Nicole M. and White, Scott and Willemsen, Gonneke and Yaghootkar, Hanieh and Boomsma, Dorret I. and Estivill, Xavier and Grant, Struan F. A. and Hakonarson, Hakon and Hattersley, Andrew T. and Heinrich, Joachim and Jaddoe, Vincent W. V. and Jarvelin, Marjo-Riitta and McCarthy, Mark I. and Pennell, Craig E. and Power, Chris and Timpson, Nicholas J. and Widen, Elisabeth and Ikram, M. Arfan and Fornage, Myriam and Smith, Albert V. and Seshadri, Sudha and Schmidt, Reinhold and Debette, Stephanie and Vrooman, Henri A. and Sigurdsson, Sigurdur and Ropele, Stefan and Coker, Laura H. and Longstreth, W. T. and Niessen, Wiro J. and DeStefano, Anita L. and Beiser, Alexa and Zijdenbos, Alex P. and Struchalin, Maksim and Jack, Clifford R. and Nalls, Mike A. and Au, Rhoda and Hofman, Albert and Gudnason, Haukur and van der Lugt, Aad and Harris, Tamara B. and Meeks, William M. and Vernooij, Meike W. and van Buchem, Mark A. and Catellier, Diane and Gudnason, Vilmundur and Windham, B. Gwen and Wolf, Philip A. and van Duijn, Cornelia M. and Mosley, Thomas H. and Schmidt, Helena and Launer, Lenore J. and Breteler, Monique M. B. and DeCarli, Charles}, title = {Common variants at 12q15 and 12q24 are associated with infant head circumference}, series = {Nature genetics}, volume = {44}, journal = {Nature genetics}, number = {5}, publisher = {Nature Publ. Group}, address = {New York}, organization = {Cohorts Heart Aging Res Genetic Ep, Early Genetics Lifecourse Epidemio, Early Growth Genetics EGG Consorti}, issn = {1061-4036}, doi = {10.1038/ng.2238}, pages = {532 -- +}, year = {2012}, abstract = {To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 x 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 x 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height(1), their effects on infant head circumference were largely independent of height (P = 3.8 x 10(-7) for rs7980687 and P = 1.3 x 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 x 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume(2), Parkinson's disease and other neurodegenerative diseases(3-5), indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life.}, language = {en} } @article{IkramFornageSmithetal.2012, author = {Ikram, M. Arfan and Fornage, Myriam and Smith, Albert V. and Seshadri, Sudha and Schmidt, Reinhold and Debette, Stephanie and Vrooman, Henri A. and Sigurdsson, Sigurdur and Ropele, Stefan and Taal, H. Rob and Mook-Kanamori, Dennis O. and Coker, Laura H. and Longstreth, W. T. and Niessen, Wiro J. and DeStefano, Anita L. and Beiser, Alexa and Zijdenbos, Alex P. and Struchalin, Maksim and Jack, Clifford R. and Rivadeneira, Fernando and Uitterlinden, Andre G. and Knopman, David S. and Hartikainen, Anna-Liisa and Pennell, Craig E. and Thiering, Elisabeth and Steegers, Eric A. P. and Hakonarson, Hakon and Heinrich, Joachim and Palmer, Lyle J. and Jarvelin, Marjo-Riitta and McCarthy, Mark I. and Grant, Struan F. A. and St Pourcain, Beate and Timpson, Nicholas J. and Smith, George Davey and Sovio, Ulla and Nalls, Mike A. and Au, Rhoda and Hofman, Albert and Gudnason, Haukur and van der Lugt, Aad and Harris, Tamara B. and Meeks, William M. and Vernooij, Meike W. and van Buchem, Mark A. and Catellier, Diane and Jaddoe, Vincent W. V. and Gudnason, Vilmundur and Windham, B. Gwen and Wolf, Philip A. and van Duijn, Cornelia M. and Mosley, Thomas H. and Schmidt, Helena and Launer, Lenore J. and Breteler, Monique M. B. and DeCarli, Charles and Adair, Linda S. and Ang, Wei and Atalay, Mustafa and vanBeijsterveldt, Toos and Bergen, Nienke and Benke, Kelly and Berry, Diane J. and Coin, Lachlan and Davis, Oliver S. P. and Elliott, Paul and Flexeder, Claudia and Frayling, Tim and Gaillard, Romy and Groen-Blokhuis, Maria and Goh, Liang-Kee and Haworth, Claire M. A. and Hadley, Dexter and Hebebrand, Johannes and Hinney, Anke and Hirschhorn, Joel N. and Holloway, John W. and Holst, Claus and Hottenga, Jouke Jan and Horikoshi, Momoko and Huikari, Ville and Hypponen, Elina and Kilpelainen, Tuomas O. and Kirin, Mirna and Kowgier, Matthew and Lakka, Hanna-Maaria and Lange, Leslie A. and Lawlor, Debbie A. and Lehtimaki, Terho and Lewin, Alex and Lindgren, Cecilia and Lindi, Virpi and Maggi, Reedik and Marsh, Julie and Middeldorp, Christel and Millwood, Iona and Murray, Jeffrey C. and Nivard, Michel and Nohr, Ellen Aagaard and Ntalla, Ioanna and Oken, Emily and Panoutsopoulou, Kalliope and Pararajasingham, Jennifer and Rodriguez, Alina and Salem, Rany M. and Sebert, Sylvain and Siitonen, Niina and Strachan, David P. and Teo, Yik-Ying and Valcarcel, Beatriz and Willemsen, Gonneke and Zeggini, Eleftheria and Boomsma, Dorret I. and Cooper, Cyrus and Gillman, Matthew and Hocher, Berthold and Lakka, Timo A. and Mohlke, Karen L. and Dedoussis, George V. and Ong, Ken K. and Pearson, Ewan R. and Price, Thomas S. and Power, Chris and Raitakari, Olli T. and Saw, Seang-Mei and Scherag, Andre and Simell, Olli and Sorensen, Thorkild I. A. and Wilson, James F.}, title = {Common variants at 6q22 and 17q21 are associated with intracranial volume}, series = {Nature genetics}, volume = {44}, journal = {Nature genetics}, number = {5}, publisher = {Nature Publ. Group}, address = {New York}, organization = {Early Growth Genetics EGG Consorti, Cohorts Heart Aging Res Genomic Ep}, issn = {1061-4036}, doi = {10.1038/ng.2245}, pages = {539 -- +}, year = {2012}, abstract = {During aging, intracranial volume remains unchanged and represents maximally attained brain size, while various interacting biological phenomena lead to brain volume loss. Consequently, intracranial volume and brain volume in late life reflect different genetic influences. Our genome-wide association study (GWAS) in 8,175 community-dwelling elderly persons did not reveal any associations at genome-wide significance (P < 5 x 10(-8)) for brain volume. In contrast, intracranial volume was significantly associated with two loci: rs4273712 (P = 3.4 x 10(-11)), a known height-associated locus on chromosome 6q22, and rs9915547 (P = 1.5 x 10(-12)), localized to the inversion on chromosome 17q21. We replicated the associations of these loci with intracranial volume in a separate sample of 1,752 elderly persons (P = 1.1 x 10(-3) for 6q22 and 1.2 x 10(-3) for 17q21). Furthermore, we also found suggestive associations of the 17q21 locus with head circumference in 10,768 children (mean age of 14.5 months). Our data identify two loci associated with head size, with the inversion at 17q21 also likely to be involved in attaining maximal brain size.}, language = {en} } @article{deVeraBoettgerdelaTorreNoetzeletal.2012, author = {de Vera, Jean-Pierre Paul and B{\"o}ttger, Ute and de la Torre N{\"o}tzel, Rosa and Sanchez, Francisco J. and Grunow, Dana and Schmitz, Nicole and Lange, Caroline and H{\"u}bers, Heinz-Wilhelm and Billi, Daniela and Baque, Mickael and Rettberg, Petra and Rabbow, Elke and Reitz, G{\"u}nther and Berger, Thomas and M{\"o}ller, Ralf and Bohmeier, Maria and Horneck, Gerda and Westall, Frances and J{\"a}nchen, Jochen and Fritz, J{\"o}rg and Meyer, Cornelia and Onofri, Silvano and Selbmann, Laura and Zucconi, Laura and Kozyrovska, Natalia and Leya, Thomas and Foing, Bernard and Demets, Rene and Cockell, Charles S. and Bryce, Casey and Wagner, Dirk and Serrano, Paloma and Edwards, Howell G. M. and Joshi, Jasmin Radha and Huwe, Bj{\"o}rn and Ehrenfreund, Pascale and Elsaesser, Andreas and Ott, Sieglinde and Meessen, Joachim and Feyh, Nina and Szewzyk, Ulrich and Jaumann, Ralf and Spohn, Tilman}, title = {Supporting Mars exploration BIOMEX in Low Earth Orbit and further astrobiological studies on the Moon using Raman and PanCam technology}, series = {Planetary and space science}, volume = {74}, journal = {Planetary and space science}, number = {1}, publisher = {Elsevier}, address = {Oxford}, issn = {0032-0633}, doi = {10.1016/j.pss.2012.06.010}, pages = {103 -- 110}, year = {2012}, abstract = {The Low Earth Orbit (LEO) experiment Biology and Mars Experiment (BIOMEX) is an interdisciplinary and international space research project selected by ESA. The experiment will be accommodated on the space exposure facility EXPOSE-R2 on the International Space Station (ISS) and is foreseen to be launched in 2013. The prime objective of BIOMEX is to measure to what extent biomolecules, such as pigments and cellular components, are resistant to and able to maintain their stability under space and Mars-like conditions. The results of BIOMEX will be relevant for space proven biosignature definition and for building a biosignature data base (e.g. the proposed creation of an international Raman library). The library will be highly relevant for future space missions such as the search for life on Mars. The secondary scientific objective is to analyze to what extent terrestrial extremophiles are able to survive in space and to determine which interactions between biological samples and selected minerals (including terrestrial, Moon- and Mars analogs) can be observed under space and Mars-like conditions. In this context, the Moon will be an additional platform for performing similar experiments with negligible magnetic shielding and higher solar and galactic irradiation compared to LEO. Using the Moon as an additional astrobiological exposure platform to complement ongoing astrobiological LEO investigations could thus enhance the chances of detecting organic traces of life on Mars. We present a lunar lander mission with two related objectives: a lunar lander equipped with Raman and PanCam instruments which can analyze the lunar surface and survey an astrobiological exposure platform. This dual use of testing mission technology together with geo- and astrobiological analyses will significantly increase the science return, and support the human preparation objectives. It will provide knowledge about the Moon's surface itself and, in addition, monitor the stability of life-markers, such as cells, cell components and pigments, in an extraterrestrial environment with much closer radiation properties to the surface of Mars. The combination of a Raman data base of these data together with data from LEO and space simulation experiments, will lead to further progress on the analysis and interpretation of data that we will obtain from future Moon and Mars exploration missions.}, language = {en} } @misc{GorskiJungLietal.2020, author = {Gorski, Mathias and Jung, Bettina and Li, Yong and Matias-Garcia, Pamela R. and Wuttke, Matthias and Coassin, Stefan and Thio, Chris H. L. and Kleber, Marcus E. and Winkler, Thomas W. and Wanner, Veronika and Chai, Jin-Fang and Chu, Audrey Y. and Cocca, Massimiliano and Feitosa, Mary F. and Ghasemi, Sahar and Hoppmann, Anselm and Horn, Katrin and Li, Man and Nutile, Teresa and Scholz, Markus and Sieber, Karsten B. and Teumer, Alexander and Tin, Adrienne and Wang, Judy and Tayo, Bamidele O. and Ahluwalia, Tarunveer S. and Almgren, Peter and Bakker, Stephan J. L. and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L. and Boerwinkle, Eric and B{\"o}ttinger, Erwin and Brenner, Hermann and Carroll, Robert J. and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Coresh, Josef and de Borst, Martin H. and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Franke, Andre and Freitag-Wolf, Sandra and Gampawar, Piyush and Gansevoort, Ron T. and Ghanbari, Mohsen and Gieger, Christian and Hamet, Pavel and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Foo, Valencia Hui Xian and Hutri-Kahonen, Nina and Hwang, Shih-Jen and Ikram, M. Arfan and Josyula, Navya Shilpa and Kahonen, Mika and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kraemer, Bernhard K. and Kuehnel, Brigitte and Lange, Leslie A. and Lehtimaki, Terho and Lieb, Wolfgang and Loos, Ruth J. F. and Lukas, Mary Ann and Lyytikainen, Leo-Pekka and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P. and Mononen, Nina and Mychaleckyj, Josyf C. and Nadkarni, Girish N. and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M. and O'Donoghue, Michelle L. and Orho-Melander, Marju and Pendergrass, Sarah A. and Penninx, Brenda W. J. H. and Preuss, Michael H. and Psaty, Bruce M. and Raffield, Laura M. and Raitakari, Olli T. and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M. and Rosenkranz, Alexander R. and Rossing, Peter and Rotter, Jerome and Sabanayagam, Charumathi and Schmidt, Helena and Schmidt, Reinhold and Schoettker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M. and Strauch, Konstantin and Szymczak, Silke and Taylor, Kent D. and Tremblay, Johanne and Chaker, Layal and van der Harst, Pim and van der Most, Peter J. and Verweij, Niek and Voelker, Uwe and Waldenberger, Melanie and Wallentin, Lars and Waterworth, Dawn M. and White, Harvey D. and Wilson, James G. and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M. and Zhang, Yan and Snieder, Harold and Wanner, Christoph and Boger, Carsten A. and Kottgen, Anna and Kronenberg, Florian and Pattaro, Cristian and Heid, Iris M.}, title = {Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Reihe der Digital Engineering Fakult{\"a}t}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Reihe der Digital Engineering Fakult{\"a}t}, number = {19}, doi = {10.25932/publishup-56537}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-565379}, pages = {14}, year = {2020}, abstract = {Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25\% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95\% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.}, language = {en} } @article{WuttkeLiLietal.2019, author = {Wuttke, Matthias and Li, Yong and Li, Man and Sieber, Karsten B. and Feitosa, Mary F. and Gorski, Mathias and Tin, Adrienne and Wang, Lihua and Chu, Audrey Y. and Hoppmann, Anselm and Kirsten, Holger and Giri, Ayush and Chai, Jin-Fang and Sveinbjornsson, Gardar and Tayo, Bamidele O. and Nutile, Teresa and Fuchsberger, Christian and Marten, Jonathan and Cocca, Massimiliano and Ghasemi, Sahar and Xu, Yizhe and Horn, Katrin and Noce, Damia and Van der Most, Peter J. and Sedaghat, Sanaz and Yu, Zhi and Akiyama, Masato and Afaq, Saima and Ahluwalia, Tarunveer Singh and Almgren, Peter and Amin, Najaf and Arnlov, Johan and Bakker, Stephan J. L. and Bansal, Nisha and Baptista, Daniela and Bergmann, Sven and Biggs, Mary L. and Biino, Ginevra and Boehnke, Michael and Boerwinkle, Eric and Boissel, Mathilde and B{\"o}ttinger, Erwin and Boutin, Thibaud S. and Brenner, Hermann and Brumat, Marco and Burkhardt, Ralph and Butterworth, Adam S. and Campana, Eric and Campbell, Archie and Campbell, Harry and Canouil, Mickael and Carroll, Robert J. and Catamo, Eulalia and Chambers, John C. and Chee, Miao-Ling and Chee, Miao-Li and Chen, Xu and Cheng, Ching-Yu and Cheng, Yurong and Christensen, Kaare and Cifkova, Renata and Ciullo, Marina and Concas, Maria Pina and Cook, James P. and Coresh, Josef and Corre, Tanguy and Sala, Cinzia Felicita and Cusi, Daniele and Danesh, John and Daw, E. Warwick and De Borst, Martin H. and De Grandi, Alessandro and De Mutsert, Renee and De Vries, Aiko P. J. and Degenhardt, Frauke and Delgado, Graciela and Demirkan, Ayse and Di Angelantonio, Emanuele and Dittrich, Katalin and Divers, Jasmin and Dorajoo, Rajkumar and Eckardt, Kai-Uwe and Ehret, Georg and Elliott, Paul and Endlich, Karlhans and Evans, Michele K. and Felix, Janine F. and Foo, Valencia Hui Xian and Franco, Oscar H. and Franke, Andre and Freedman, Barry I. and Freitag-Wolf, Sandra and Friedlander, Yechiel and Froguel, Philippe and Gansevoort, Ron T. and Gao, He and Gasparini, Paolo and Gaziano, J. Michael and Giedraitis, Vilmantas and Gieger, Christian and Girotto, Giorgia and Giulianini, Franco and Gogele, Martin and Gordon, Scott D. and Gudbjartsson, Daniel F. and Gudnason, Vilmundur and Haller, Toomas and Hamet, Pavel and Harris, Tamara B. and Hartman, Catharina A. and Hayward, Caroline and Hellwege, Jacklyn N. and Heng, Chew-Kiat and Hicks, Andrew A. and Hofer, Edith and Huang, Wei and Hutri-Kahonen, Nina and Hwang, Shih-Jen and Ikram, M. Arfan and Indridason, Olafur S. and Ingelsson, Erik and Ising, Marcus and Jaddoe, Vincent W. V. and Jakobsdottir, Johanna and Jonas, Jost B. and Joshi, Peter K. and Josyula, Navya Shilpa and Jung, Bettina and Kahonen, Mika and Kamatani, Yoichiro and Kammerer, Candace M. and Kanai, Masahiro and Kastarinen, Mika and Kerr, Shona M. and Khor, Chiea-Chuen and Kiess, Wieland and Kleber, Marcus E. and Koenig, Wolfgang and Kooner, Jaspal S. and Korner, Antje and Kovacs, Peter and Kraja, Aldi T. and Krajcoviechova, Alena and Kramer, Holly and Kramer, Bernhard K. and Kronenberg, Florian and Kubo, Michiaki and Kuhnel, Brigitte and Kuokkanen, Mikko and Kuusisto, Johanna and La Bianca, Martina and Laakso, Markku and Lange, Leslie A. and Langefeld, Carl D. and Lee, Jeannette Jen-Mai and Lehne, Benjamin and Lehtimaki, Terho and Lieb, Wolfgang and Lim, Su-Chi and Lind, Lars and Lindgren, Cecilia M. and Liu, Jun and Liu, Jianjun and Loeffler, Markus and Loos, Ruth J. F. and Lucae, Susanne and Lukas, Mary Ann and Lyytikainen, Leo-Pekka and Magi, Reedik and Magnusson, Patrik K. E. and Mahajan, Anubha and Martin, Nicholas G. and Martins, Jade and Marz, Winfried and Mascalzoni, Deborah and Matsuda, Koichi and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mikaelsdottir, Evgenia K. and Milaneschi, Yuri and Miliku, Kozeta and Mishra, Pashupati P. and Program, V. A. Million Veteran and Mohlke, Karen L. and Mononen, Nina and Montgomery, Grant W. and Mook-Kanamori, Dennis O. and Mychaleckyj, Josyf C. and Nadkarni, Girish N. and Nalls, Mike A. and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M. and Noordam, Raymond and Olafsson, Isleifur and Oldehinkel, Albertine J. and Orho-Melander, Marju and Ouwehand, Willem H. and Padmanabhan, Sandosh and Palmer, Nicholette D. and Palsson, Runolfur and Penninx, Brenda W. J. H. and Perls, Thomas and Perola, Markus and Pirastu, Mario and Pirastu, Nicola and Pistis, Giorgio and Podgornaia, Anna I. and Polasek, Ozren and Ponte, Belen and Porteous, David J. and Poulain, Tanja and Pramstaller, Peter P. and Preuss, Michael H. and Prins, Bram P. and Province, Michael A. and Rabelink, Ton J. and Raffield, Laura M. and Raitakari, Olli T. and Reilly, Dermot F. and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M. and Ridker, Paul M. and Rivadeneira, Fernando and Rizzi, Federica and Roberts, David J. and Robino, Antonietta and Rossing, Peter and Rudan, Igor and Rueedi, Rico and Ruggiero, Daniela and Ryan, Kathleen A. and Saba, Yasaman and Sabanayagam, Charumathi and Salomaa, Veikko and Salvi, Erika and Saum, Kai-Uwe and Schmidt, Helena and Schmidt, Reinhold and Ben Schottker, and Schulz, Christina-Alexandra and Schupf, Nicole and Shaffer, Christian M. and Shi, Yuan and Smith, Albert V. and Smith, Blair H. and Soranzo, Nicole and Spracklen, Cassandra N. and Strauch, Konstantin and Stringham, Heather M. and Stumvoll, Michael and Svensson, Per O. and Szymczak, Silke and Tai, E-Shyong and Tajuddin, Salman M. and Tan, Nicholas Y. Q. and Taylor, Kent D. and Teren, Andrej and Tham, Yih-Chung and Thiery, Joachim and Thio, Chris H. L. and Thomsen, Hauke and Thorleifsson, Gudmar and Toniolo, Daniela and Tonjes, Anke and Tremblay, Johanne and Tzoulaki, Ioanna and Uitterlinden, Andre G. and Vaccargiu, Simona and Van Dam, Rob M. and Van der Harst, Pim and Van Duijn, Cornelia M. and Edward, Digna R. Velez and Verweij, Niek and Vogelezang, Suzanne and Volker, Uwe and Vollenweider, Peter and Waeber, Gerard and Waldenberger, Melanie and Wallentin, Lars and Wang, Ya Xing and Wang, Chaolong and Waterworth, Dawn M. and Bin Wei, Wen and White, Harvey and Whitfield, John B. and Wild, Sarah H. and Wilson, James F. and Wojczynski, Mary K. and Wong, Charlene and Wong, Tien-Yin and Xu, Liang and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M. and Zhang, Weihua and Zonderman, Alan B. and Rotter, Jerome I. and Bochud, Murielle and Psaty, Bruce M. and Vitart, Veronique and Wilson, James G. and Dehghan, Abbas and Parsa, Afshin and Chasman, Daniel I. and Ho, Kevin and Morris, Andrew P. and Devuyst, Olivier and Akilesh, Shreeram and Pendergrass, Sarah A. and Sim, Xueling and Boger, Carsten A. and Okada, Yukinori and Edwards, Todd L. and Snieder, Harold and Stefansson, Kari and Hung, Adriana M. and Heid, Iris M. and Scholz, Markus and Teumer, Alexander and Kottgen, Anna and Pattaro, Cristian}, title = {A catalog of genetic loci associated with kidney function from analyses of a million individuals}, series = {Nature genetics}, volume = {51}, journal = {Nature genetics}, number = {6}, publisher = {Nature Publ. Group}, address = {New York}, organization = {Lifelines COHort Study}, issn = {1061-4036}, doi = {10.1038/s41588-019-0407-x}, pages = {957 -- +}, year = {2019}, abstract = {Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.}, language = {en} } @article{GorskiJungLietal.2020, author = {Gorski, Mathias and Jung, Bettina and Li, Yong and Matias-Garcia, Pamela R. and Wuttke, Matthias and Coassin, Stefan and Thio, Chris H. L. and Kleber, Marcus E. and Winkler, Thomas W. and Wanner, Veronika and Chai, Jin-Fang and Chu, Audrey Y. and Cocca, Massimiliano and Feitosa, Mary F. and Ghasemi, Sahar and Hoppmann, Anselm and Horn, Katrin and Li, Man and Nutile, Teresa and Scholz, Markus and Sieber, Karsten B. and Teumer, Alexander and Tin, Adrienne and Wang, Judy and Tayo, Bamidele O. and Ahluwalia, Tarunveer S. and Almgren, Peter and Bakker, Stephan J. L. and Banas, Bernhard and Bansal, Nisha and Biggs, Mary L. and Boerwinkle, Eric and B{\"o}ttinger, Erwin and Brenner, Hermann and Carroll, Robert J. and Chalmers, John and Chee, Miao-Li and Chee, Miao-Ling and Cheng, Ching-Yu and Coresh, Josef and de Borst, Martin H. and Degenhardt, Frauke and Eckardt, Kai-Uwe and Endlich, Karlhans and Franke, Andre and Freitag-Wolf, Sandra and Gampawar, Piyush and Gansevoort, Ron T. and Ghanbari, Mohsen and Gieger, Christian and Hamet, Pavel and Ho, Kevin and Hofer, Edith and Holleczek, Bernd and Foo, Valencia Hui Xian and Hutri-Kahonen, Nina and Hwang, Shih-Jen and Ikram, M. Arfan and Josyula, Navya Shilpa and Kahonen, Mika and Khor, Chiea-Chuen and Koenig, Wolfgang and Kramer, Holly and Kraemer, Bernhard K. and Kuehnel, Brigitte and Lange, Leslie A. and Lehtimaki, Terho and Lieb, Wolfgang and Loos, Ruth J. F. and Lukas, Mary Ann and Lyytikainen, Leo-Pekka and Meisinger, Christa and Meitinger, Thomas and Melander, Olle and Milaneschi, Yuri and Mishra, Pashupati P. and Mononen, Nina and Mychaleckyj, Josyf C. and Nadkarni, Girish N. and Nauck, Matthias and Nikus, Kjell and Ning, Boting and Nolte, Ilja M. and O'Donoghue, Michelle L. and Orho-Melander, Marju and Pendergrass, Sarah A. and Penninx, Brenda W. J. H. and Preuss, Michael H. and Psaty, Bruce M. and Raffield, Laura M. and Raitakari, Olli T. and Rettig, Rainer and Rheinberger, Myriam and Rice, Kenneth M. and Rosenkranz, Alexander R. and Rossing, Peter and Rotter, Jerome and Sabanayagam, Charumathi and Schmidt, Helena and Schmidt, Reinhold and Schoettker, Ben and Schulz, Christina-Alexandra and Sedaghat, Sanaz and Shaffer, Christian M. and Strauch, Konstantin and Szymczak, Silke and Taylor, Kent D. and Tremblay, Johanne and Chaker, Layal and van der Harst, Pim and van der Most, Peter J. and Verweij, Niek and Voelker, Uwe and Waldenberger, Melanie and Wallentin, Lars and Waterworth, Dawn M. and White, Harvey D. and Wilson, James G. and Wong, Tien-Yin and Woodward, Mark and Yang, Qiong and Yasuda, Masayuki and Yerges-Armstrong, Laura M. and Zhang, Yan and Snieder, Harold and Wanner, Christoph and Boger, Carsten A. and Kottgen, Anna and Kronenberg, Florian and Pattaro, Cristian and Heid, Iris M.}, title = {Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline}, series = {Kidney international : official journal of the International Society of Nephrology}, volume = {99}, journal = {Kidney international : official journal of the International Society of Nephrology}, number = {4}, publisher = {Elsevier}, address = {New York}, organization = {Lifelines Cohort Study
Regeneron Genetics Ctr}, issn = {0085-2538}, doi = {10.1016/j.kint.2020.09.030}, pages = {926 -- 939}, year = {2020}, abstract = {Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25\% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95\% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.}, language = {en} } @article{CwiekKupczynskaAltmannArendetal.2016, author = {´Cwiek-Kupczynska, Hanna and Altmann, Thomas and Arend, Daniel and Arnaud, Elizabeth and Chen, Dijun and Cornut, Guillaume and Fiorani, Fabio and Frohmberg, Wojciech and Junker, Astrid and Klukas, Christian and Lange, Matthias and Mazurek, Cezary and Nafissi, Anahita and Neveu, Pascal and van Oeveren, Jan and Pommier, Cyril and Poorter, Hendrik and Rocca-Serra, Philippe and Sansone, Susanna-Assunta and Scholz, Uwe and van Schriek, Marco and Seren, {\"U}mit and Usadel, Bjorn and Weise, Stephan and Kersey, Paul and Krajewski, Pawel}, title = {Measures for interoperability of phenotypic data: minimum information requirements and formatting}, series = {Plant Methods}, volume = {12}, journal = {Plant Methods}, publisher = {BioMed Central}, address = {London}, issn = {1746-4811}, doi = {10.1186/s13007-016-0144-4}, pages = {18}, year = {2016}, abstract = {Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be fostered by reusing and combining existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a document called "Minimum Information About a Plant Phenotyping Experiment", which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA-Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA-Tab-formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data.}, language = {en} } @article{KoetzBogenHeinzeetal.1998, author = {Koetz, Joachim and Bogen, Iris and Heinze, Ute and Heinze, Thomas and Klemm, D. and Lange, Silke and Kulicke, Werner-Michael}, title = {Kolloideigenschaften statistisch, blockartig und regioselektiv substituierter Carboxymethylcellulosen}, issn = {0031-1340}, year = {1998}, language = {de} } @article{SimonsGossnerLewinsohnetal.2014, author = {Simons, Nadja K. and Gossner, Martin M. and Lewinsohn, Thomas M. and Boch, Steffen and Lange, Markus and M{\"u}ller, J{\"o}rg and Pasalic, Esther and Socher, Stephanie A. and T{\"u}rke, Manfred and Fischer, Markus and Weisser, Wolfgang W.}, title = {Resource-mediated indirect effects of grassland management on arthropod diversity}, series = {PLoS one}, volume = {9}, journal = {PLoS one}, number = {9}, publisher = {PLoS}, address = {San Fransisco}, issn = {1932-6203}, doi = {10.1371/journal.pone.0107033}, pages = {12}, year = {2014}, abstract = {Intensive land use is a driving force for biodiversity decline in many ecosystems. In semi-natural grasslands, land-use activities such as mowing, grazing and fertilization affect the diversity of plants and arthropods, but the combined effects of different drivers and the chain of effects are largely unknown. In this study we used structural equation modelling to analyse how the arthropod communities in managed grasslands respond to land use and whether these responses are mediated through changes in resource diversity or resource quantity (biomass). Plants were considered resources for herbivores which themselves were considered resources for predators. Plant and arthropod (herbivores and predators) communities were sampled on 141 meadows, pastures and mown pastures within three regions in Germany in 2008 and 2009. Increasing land-use intensity generally increased plant biomass and decreased plant diversity, mainly through increasing fertilization. Herbivore diversity decreased together with plant diversity but showed no response to changes in plant biomass. Hence, land-use effects on herbivore diversity were mediated through resource diversity rather than quantity. Land-use effects on predator diversity were mediated by both herbivore diversity (resource diversity) and herbivore quantity (herbivore biomass), but indirect effects through resource quantity were stronger. Our findings highlight the importance of assessing both direct and indirect effects of land-use intensity and mode on different trophic levels. In addition to the overall effects, there were subtle differences between the different regions, pointing to the importance of regional land-use specificities. Our study underlines the commonly observed strong effect of grassland land use on biodiversity. It also highlights that mechanistic approaches help us to understand how different land-use modes affect biodiversity.}, language = {en} } @article{KoetzBogenHeinzeetal.2001, author = {Koetz, Joachim and Bogen, Iris and Heinze, Thomas and Heinze, Ute and Kulicke, Werner-Michael and Lange, Silke}, title = {Pecularities in the physico-chemical behaviour of non-statistically substituted carboxymethylcelluloses}, year = {2001}, language = {en} } @misc{ĆwiekKupczyńskaAltmannArendetal.2016, author = {Ćwiek-Kupczyńska, Hanna and Altmann, Thomas and Arend, Daniel and Arnaud, Elizabeth and Chen, Dijun and Cornut, Guillaume and Fiorani, Fabio and Frohmberg, Wojciech and Junker, Astrid and Klukas, Christian and Lange, Matthias and Mazurek, Cezary and Nafissi, Anahita and Neveu, Pascal and van Oeveren, Jan and Pommier, Cyril and Poorter, Hendrik and Rocca-Serra, Philippe and Sansone, Susanna-Assunta and Scholz, Uwe and van Schriek, Marco and Seren, {\"U}mit and Usadel, Bj{\"o}rn and Weise, Stephan and Kersey, Paul and Krajewski, Paweł}, title = {Measures for interoperability of phenotypic data}, series = {Plant methods}, journal = {Plant methods}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407299}, pages = {18}, year = {2016}, abstract = {Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time ‑consuming experiments, the findings can be fostered by reusing and combin‑ ing existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a docu‑ ment called "Minimum Information About a Plant Phenotyping Experiment", which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA ‑Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA ‑Tab ‑formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data.}, language = {en} } @article{ChenLangeAndjelkovicetal.2022, author = {Chen, Junchao and Lange, Thomas and Andjelkovic, Marko and Simevski, Aleksandar and Lu, Li and Krstić, Miloš}, title = {Solar particle event and single event upset prediction from SRAM-based monitor and supervised machine learning}, series = {IEEE transactions on emerging topics in computing / IEEE Computer Society, Institute of Electrical and Electronics Engineers}, volume = {10}, journal = {IEEE transactions on emerging topics in computing / IEEE Computer Society, Institute of Electrical and Electronics Engineers}, number = {2}, publisher = {Institute of Electrical and Electronics Engineers}, address = {[New York, NY]}, issn = {2168-6750}, doi = {10.1109/TETC.2022.3147376}, pages = {564 -- 580}, year = {2022}, abstract = {The intensity of cosmic radiation may differ over five orders of magnitude within a few hours or days during the Solar Particle Events (SPEs), thus increasing for several orders of magnitude the probability of Single Event Upsets (SEUs) in space-borne electronic systems. Therefore, it is vital to enable the early detection of the SEU rate changes in order to ensure timely activation of dynamic radiation hardening measures. In this paper, an embedded approach for the prediction of SPEs and SRAM SEU rate is presented. The proposed solution combines the real-time SRAM-based SEU monitor, the offline-trained machine learning model and online learning algorithm for the prediction. With respect to the state-of-the-art, our solution brings the following benefits: (1) Use of existing on-chip data storage SRAM as a particle detector, thus minimizing the hardware and power overhead, (2) Prediction of SRAM SEU rate one hour in advance, with the fine-grained hourly tracking of SEU variations during SPEs as well as under normal conditions, (3) Online optimization of the prediction model for enhancing the prediction accuracy during run-time, (4) Negligible cost of hardware accelerator design for the implementation of selected machine learning model and online learning algorithm. The proposed design is intended for a highly dependable and self-adaptive multiprocessing system employed in space applications, allowing to trigger the radiation mitigation mechanisms before the onset of high radiation levels.}, language = {en} } @article{LangeReiterKniepertetal.2015, author = {Lange, Ilja and Reiter, Sina and Kniepert, Juliane and Piersimoni, Fortunato and Paetzel, Michael and Hildebrandt, Jana and Brenner, Thomas J. K. and Hecht, Stefan and Neher, Dieter}, title = {Zinc oxide modified with benzylphosphonic acids as transparent electrodes in regular and inverted organic solar cell structures}, series = {Applied physics letters}, volume = {106}, journal = {Applied physics letters}, number = {11}, publisher = {American Institute of Physics}, address = {Melville}, issn = {0003-6951}, doi = {10.1063/1.4916182}, pages = {5}, year = {2015}, abstract = {An approach is presented to modify the work function of solution-processed sol-gel derived zinc oxide (ZnO) over an exceptionally wide range of more than 2.3 eV. This approach relies on the formation of dense and homogeneous self-assembled monolayers based on phosphonic acids with different dipole moments. This allows us to apply ZnO as charge selective bottom electrodes in either regular or inverted solar cell structures, using poly(3-hexylthiophene): phenyl-C71-butyric acid methyl ester as the active layer. These devices compete with or even surpass the performance of the reference on indium tin oxide/poly(3,4-ethylenedioxythiophene) polystyrene sulfonate. Our findings highlight the potential of properly modified ZnO as electron or hole extracting electrodes in hybrid optoelectronic devices. (C) 2015 AIP Publishing LLC.}, language = {en} } @article{ViTrostLangeetal.2013, author = {Vi, Son Lang and Trost, Gerda and Lange, Peggy and Czesnick, Hj{\"o}rdis and Rao, Nishta and Lieber, Diana and Laux, Thomas and Gray, William M. and Manley, James L. and Groth, Detlef and Kappel, Christian and Lenhard, Michael}, title = {Target specificity among canonical nuclear poly(A) polymerases in plants modulates organ growth and pathogen response}, series = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, volume = {110}, journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, number = {34}, publisher = {NATL ACAD SCIENCES}, address = {WASHINGTON}, issn = {0027-8424}, doi = {10.1073/pnas.1303967110}, pages = {13994 -- 13999}, year = {2013}, abstract = {Polyadenylation of pre-mRNAs is critical for efficient nuclear export, stability, and translation of the mature mRNAs, and thus for gene expression. The bulk of pre-mRNAs are processed by canonical nuclear poly(A) polymerase (PAPS). Both vertebrate and higher-plant genomes encode more than one isoform of this enzyme, and these are coexpressed in different tissues. However, in neither case is it known whether the isoforms fulfill different functions or polyadenylate distinct subsets of pre-mRNAs. Here we show that the three canonical nuclear PAPS isoforms in Arabidopsis are functionally specialized owing to their evolutionarily divergent C-terminal domains. A strong loss-of-function mutation in PAPS1 causes a male gametophytic defect, whereas a weak allele leads to reduced leaf growth that results in part from a constitutive pathogen response. By contrast, plants lacking both PAPS2 and PAPS4 function are viable with wild-type leaf growth. Polyadenylation of SMALL AUXIN UP RNA (SAUR) mRNAs depends specifically on PAPS1 function. The resulting reduction in SAUR activity in paps1 mutants contributes to their reduced leaf growth, providing a causal link between polyadenylation of specific pre-mRNAs by a particular PAPS isoform and plant growth. This suggests the existence of an additional layer of regulation in plant and possibly vertebrate gene expression, whereby the relative activities of canonical nuclear PAPS isoforms control de novo synthesized poly(A) tail length and hence expression of specific subsets of mRNAs.}, language = {en} } @article{GossnerLewinsohnKahletal.2016, author = {Gossner, Martin M. and Lewinsohn, Thomas M. and Kahl, Tiemo and Grassein, Fabrice and Boch, Steffen and Prati, Daniel and Birkhofer, Klaus and Renner, Swen C. and Sikorski, Johannes and Wubet, Tesfaye and Arndt, Hartmut and Baumgartner, Vanessa and Blaser, Stefan and Bl{\"u}thgen, Nico and B{\"o}rschig, Carmen and Buscot, Francois and Diek{\"o}tter, Tim and Jorge, Leonardo Re and Jung, Kirsten and Keyel, Alexander C. and Klein, Alexandra-Maria and Klemmer, Sandra and Krauss, Jochen and Lange, Markus and M{\"u}ller, J{\"o}rg and Overmann, J{\"o}rg and Pasalic, Esther and Penone, Caterina and Perovic, David J. and Purschke, Oliver and Schall, Peter and Socher, Stephanie A. and Sonnemann, Ilja and Tschapka, Marco and Tscharntke, Teja and T{\"u}rke, Manfred and Venter, Paul Christiaan and Weiner, Christiane N. and Werner, Michael and Wolters, Volkmar and Wurst, Susanne and Westphal, Catrin and Fischer, Markus and Weisser, Wolfgang W. and Allan, Eric}, title = {Land-use intensification causes multitrophic homogenization of grassland communities}, series = {Nature : the international weekly journal of science}, volume = {540}, journal = {Nature : the international weekly journal of science}, publisher = {Nature Publ. Group}, address = {London}, issn = {0028-0836}, doi = {10.1038/nature20575}, pages = {266 -- +}, year = {2016}, abstract = {Land-use intensification is a major driver of biodiversity loss(1,2). Alongside reductions in local species diversity, biotic homogenization at larger spatial scales is of great concern for conservation. Biotic homogenization means a decrease in beta-diversity (the compositional dissimilarity between sites). Most studies have investigated losses in local (alpha)-diversity(1,3) and neglected biodiversity loss at larger spatial scales. Studies addressing beta-diversity have focused on single or a few organism groups (for example, ref. 4), and it is thus unknown whether land-use intensification homogenizes communities at different trophic levels, above-and belowground. Here we show that even moderate increases in local land-use intensity (LUI) cause biotic homogenization across microbial, plant and animal groups, both above- and belowground, and that this is largely independent of changes in alpha-diversity. We analysed a unique grassland biodiversity dataset, with abundances of more than 4,000 species belonging to 12 trophic groups. LUI, and, in particular, high mowing intensity, had consistent effects on beta-diversity across groups, causing a homogenization of soil microbial, fungal pathogen, plant and arthropod communities. These effects were nonlinear and the strongest declines in beta-diversity occurred in the transition from extensively managed to intermediate intensity grassland. LUI tended to reduce local alpha-diversity in aboveground groups, whereas the alpha-diversity increased in belowground groups. Correlations between the alpha-diversity of different groups, particularly between plants and their consumers, became weaker at high LUI. This suggests a loss of specialist species and is further evidence for biotic homogenization. The consistently negative effects of LUI on landscape-scale biodiversity underscore the high value of extensively managed grasslands for conserving multitrophic biodiversity and ecosystem service provision. Indeed, biotic homogenization rather than local diversity loss could prove to be the most substantial consequence of land-use intensification.}, language = {en} } @article{AllanBossdorfDormannetal.2014, author = {Allan, Eric and Bossdorf, Oliver and Dormann, Carsten F. and Prati, Daniel and Gossner, Martin M. and Tscharntke, Teja and Bl{\"u}thgen, Nico and Bellach, Michaela and Birkhofer, Klaus and Boch, Steffen and B{\"o}hm, Stefan and B{\"o}rschig, Carmen and Chatzinotas, Antonis and Christ, Sabina and Daniel, Rolf and Diek{\"o}tter, Tim and Fischer, Christiane and Friedl, Thomas and Glaser, Karin and Hallmann, Christine and Hodac, Ladislav and H{\"o}lzel, Norbert and Jung, Kirsten and Klein, Alexandra-Maria and Klaus, Valentin H. and Kleinebecker, Till and Krauss, Jochen and Lange, Markus and Morris, E. Kathryn and M{\"u}ller, J{\"o}rg and Nacke, Heiko and Pasalic, Esther and Rillig, Matthias C. and Rothenwoehrer, Christoph and Schally, Peter and Scherber, Christoph and Schulze, Waltraud X. and Socher, Stephanie A. and Steckel, Juliane and Steffan-Dewenter, Ingolf and T{\"u}rke, Manfred and Weiner, Christiane N. and Werner, Michael and Westphal, Catrin and Wolters, Volkmar and Wubet, Tesfaye and Gockel, Sonja and Gorke, Martin and Hemp, Andreas and Renner, Swen C. and Sch{\"o}ning, Ingo and Pfeiffer, Simone and K{\"o}nig-Ries, Birgitta and Buscot, Francois and Linsenmair, Karl Eduard and Schulze, Ernst-Detlef and Weisser, Wolfgang W. and Fischer, Markus}, title = {Interannual variation in land-use intensity enhances grassland multidiversity}, series = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {111}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, number = {1}, publisher = {National Acad. of Sciences}, address = {Washington}, issn = {0027-8424}, doi = {10.1073/pnas.1312213111}, pages = {308 -- 313}, year = {2014}, abstract = {Although temporal heterogeneity is a well-accepted driver of biodiversity, effects of interannual variation in land-use intensity (LUI) have not been addressed yet. Additionally, responses to land use can differ greatly among different organisms; therefore, overall effects of land-use on total local biodiversity are hardly known. To test for effects of LUI (quantified as the combined intensity of fertilization, grazing, and mowing) and interannual variation in LUI (SD in LUI across time), we introduce a unique measure of whole-ecosystem biodiversity, multidiversity. This synthesizes individual diversity measures across up to 49 taxonomic groups of plants, animals, fungi, and bacteria from 150 grasslands. Multidiversity declined with increasing LUI among grasslands, particularly for rarer species and aboveground organisms, whereas common species and belowground groups were less sensitive. However, a high level of interannual variation in LUI increased overall multidiversity at low LUI and was even more beneficial for rarer species because it slowed the rate at which the multidiversity of rare species declined with increasing LUI. In more intensively managed grasslands, the diversity of rarer species was, on average, 18\% of the maximum diversity across all grasslands when LUI was static over time but increased to 31\% of the maximum when LUI changed maximally over time. In addition to decreasing overall LUI, we suggest varying LUI across years as a complementary strategy to promote biodiversity conservation.}, language = {en} } @article{KniepertLangeHeidbrinketal.2015, author = {Kniepert, Juliane and Lange, Ilja and Heidbrink, Jan and Kurpiers, Jona and Brenner, Thomas J. K. and Koster, L. Jan Anton and Neher, Dieter}, title = {Effect of Solvent Additive on Generation, Recombination, and Extraction in PTB7:PCBM Solar Cells: A Conclusive Experimental and Numerical Simulation Study}, series = {The journal of physical chemistry : C, Nanomaterials and interfaces}, volume = {119}, journal = {The journal of physical chemistry : C, Nanomaterials and interfaces}, number = {15}, publisher = {American Chemical Society}, address = {Washington}, issn = {1932-7447}, doi = {10.1021/jp512721e}, pages = {8310 -- 8320}, year = {2015}, abstract = {Time-delayed collection field (TDCF), bias-assisted charge extraction (BACE), and space charge-limited current (SCLC) measurements are combined with complete numerical device simulations to unveil the effect of the solvent additive 1,8-diiodooctane (DIO) on the performance of PTB7:PCBM bulk heterojunction solar cells. DIO is shown to increase the charge generation rate, reduce geminate and bimolecular recombination, and increase the electron mobility. In total, the reduction of loss currents by processing with the additive raises the power conversion efficiency of the PTB7:PCBM blend by a factor of almost three. The lower generation rates and higher geminate recombination losses in devices without DIO are consistent with a blend morphology comprising large fullerene clusters embedded within a PTB7-rich matrix, while the low electron mobility suggests that these fullerene clusters are themselves composed of smaller pure fullerene aggregates separated by disordered areas. Our device simulations show unambiguously that the effect of the additive on the shape of the currentvoltage curve (J-V) cannot be ascribed to the variation of only the mobility, the recombination, or the field dependence of generation. It is only when the changes of all three parameters are taken into account that the simulation matches the experimental J-V characteristics under all illumination conditions and for a wide range of voltages.}, language = {en} } @article{ChenLangeAndjelkovicetal.2020, author = {Chen, Junchao and Lange, Thomas and Andjelkovic, Milos and Simevski, Aleksandar and Krstić, Miloš}, title = {Prediction of solar particle events with SRAM-based soft error rate monitor and supervised machine learning}, series = {Microelectronics reliability}, volume = {114}, journal = {Microelectronics reliability}, publisher = {Elsevier}, address = {Oxford}, issn = {0026-2714}, doi = {10.1016/j.microrel.2020.113799}, pages = {6}, year = {2020}, abstract = {This work introduces an embedded approach for the prediction of Solar Particle Events (SPEs) in space applications by combining the real-time Soft Error Rate (SER) measurement with SRAM-based detector and the offline trained machine learning model. The proposed approach is intended for the self-adaptive fault-tolerant multiprocessing systems employed in space applications. With respect to the state-of-the-art, our solution allows for predicting the SER 1 h in advance and fine-grained hourly tracking of SER variations during SPEs as well as under normal conditions. Therefore, the target system can activate the appropriate mechanisms for radiation hardening before the onset of high radiation levels. Based on the comparison of five different machine learning algorithms trained with the public space flux database, the preliminary results indicate that the best prediction accuracy is achieved with the recurrent neural network (RNN) with long short-term memory (LSTM).}, language = {en} }