Institution
Martin Luther University of Halle-Wittenberg
Education•Halle, Germany•
About: Martin Luther University of Halle-Wittenberg is a education organization based out in Halle, Germany. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 20232 authors who have published 38773 publications receiving 965004 citations. The organization is also known as: MLU & University of Wittenberg.
Papers published on a yearly basis
Papers
More filters
TL;DR: In this article, mirror symmetry in generalized Calabi-Yau compactifications of type-II string theories with background NS-fluxes was discussed, and the mirror type IIA theory arises from a purely geometrical compactification on a different class of six-manifolds.
350 citations
TL;DR: A GWAS of alcohol dependence in European-American and African-American populations, with replication in independent samples of EAs, AAs and Germans, finds a convergence of risk genes between populations, and, to a lesser extent, between psychiatric traits.
Abstract: We report a GWAS of alcohol dependence (AD) in European-American (EA) and African-American (AA) populations, with replication in independent samples of EAs, AAs and Germans. Our sample for discovery and replication was 16 087 subjects, the largest sample for AD GWAS to date. Numerous genome-wide significant (GWS) associations were identified, many novel. Most associations were population specific, but in several cases were GWS in EAs and AAs for different SNPs at the same locus,showing biological convergence across populations. We confirmed well-known risk loci mapped to alcohol-metabolizing enzyme genes, notably ADH1B (EAs: Arg48His, P ¼ 1.17 � 10 � 31 ; AAs: Arg369Cys, P ¼ 6.33 � 10 � 17 ) and ADH1C in AAs (Thr151Thr, P ¼ 4.94 � 10 � 10 ), and identified novel risk loci mapping to the ADH gene cluster on chromosome 4 and extending centromerically beyond it to include GWS associations at LOC100507053 in AAs (P ¼ 2.63 � 10 � 11 ), PDLIM5 in EAs (P ¼ 2.01 � 10 � 8 ), and METAP in AAs (P ¼ 3.35 � 10 � 8 ). We also identified a novel GWS association (1.17 � 10 � 10 ) mapped to chromosome 2 at rs1437396, between MTIF2 and CCDC88A, across all of the EA and AA cohorts, with supportive gene expression evidence, and population-specific GWS for markers on chromosomes 5, 9 and 19. Several of the novel associations implicate direct involvement of, or interaction with, genes previously identified as schizophrenia risk loci. Confirmation of known AD risk loci supports the overall validity of the study; the novel loci are worthy of genetic and biological follow-up. The findings support a convergence of risk genes (but not necessarily risk alleles) between populations, and, to a lesser extent, between psychiatric traits.
349 citations
Martin Luther University of Halle-Wittenberg1, Zürcher Fachhochschule2, University of Bayreuth3, University of Picardie Jules Verne4, University of Oviedo5, Wageningen University and Research Centre6, Masaryk University7, University of Nottingham8, University of Rostock9, Max Planck Society10, Universidade Federal do Rio Grande do Sul11, University of North Carolina at Chapel Hill12, Santa Clara University13, Leiden University14, Academy of Sciences of the Czech Republic15, Shahjalal University of Science and Technology16, Sapienza University of Rome17, Natural Resources Canada18, Florida International University19, Universidade Federal do Acre20, Ghent University21, University of Göttingen22, University of the Basque Country23, Aarhus University24, Rocky Mountain Biological Laboratory25, Environmental Change Institute26, University of Nova Gorica27, Slovenian Academy of Sciences and Arts28, King Juan Carlos University29, Czech University of Life Sciences Prague30, VU University Amsterdam31, University of Würzburg32, National University of Cordoba33, Wake Forest University34, National University of Saint Anthony the Abbot in Cuzco35, University of Exeter36, Université du Québec en Abitibi-Témiscamingue37, University of Montpellier38, University of Adelaide39, University of Chile40, IFREMER41, University of British Columbia42, Universidade do Estado de Santa Catarina43, University of Münster44, University of Hamburg45, University of Wrocław46, Swiss Federal Institute for Forest, Snow and Landscape Research47, University of Zurich48, University of Oldenburg49, University of Waikato50, University of Wyoming51, Institut national de la recherche agronomique52, Sofia University53, Royal Botanic Gardens54, University of Edinburgh55, Landcare Research56, Radboud University Nijmegen57, Spanish National Research Council58, University of Barcelona59, University of Leeds60, University of Tartu61, University of Minnesota62, University of Sydney63, University of Jena64, University of La Serena65, Peking University66, Iwokrama International Centre for Rain Forest Conservation and Development67, Aristotle University of Thessaloniki68, Bulgarian Academy of Sciences69, University of Oulu70, University of Wisconsin–Eau Claire71, American Museum of Natural History72, International Institute of Minnesota73, Leipzig University74
TL;DR: It is shown that global trait composition is captured by two main dimensions that are only weakly related to macro-environmental drivers, which reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale.
Abstract: Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
349 citations
Leiden University Medical Center1, University of Barcelona2, Erasmus University Rotterdam3, University of Valencia4, Karolinska University Hospital5, Maastricht University6, The Royal Marsden NHS Foundation Trust7, Katholieke Universiteit Leuven8, Autonomous University of Barcelona9, Uppsala University10, Aarhus University Hospital11, Radboud University Nijmegen12, Salisbury University13, Catholic University of the Sacred Heart14, Otto-von-Guericke University Magdeburg15, Sahlgrenska University Hospital16, University of Navarra17, Uppsala University Hospital18, Yorkshire Cancer Research19, Martin Luther University of Halle-Wittenberg20, West Middlesex University Hospital21, Esso22, University Medical Center Groningen23, University of Perugia24
TL;DR: The first multidisciplinary consensus conference about cancer of the colon and rectum was held in December 2012 as mentioned in this paper, where the expert panel consisted of representatives of European scientific organisations involved in cancer care of patients with colon and Rectal cancer and representatives of national colorectal registries.
348 citations
TL;DR: In this article, the authors compared eleven different indicators for quantifying surface urban heat islands that were most frequently used in recent publications on remote sensing-based urban heat island assessments and found that the indicators individually reveal diurnal and seasonal patterns but show rather low correlations over time, and for single points in time, the different indicators show only weak correlations.
347 citations
Authors
Showing all 20466 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Niels Birbaumer | 142 | 835 | 77853 |
| Michael Schmitt | 134 | 2007 | 114667 |
| Niels E. Skakkebæk | 127 | 596 | 59925 |
| Stefan D. Anker | 117 | 415 | 104945 |
| Pedro W. Crous | 115 | 809 | 51925 |
| Eric Verdin | 115 | 370 | 47971 |
| Bernd Nilius | 112 | 496 | 44812 |
| Josep Tabernero | 111 | 803 | 68982 |
| Hans-Dieter Volk | 107 | 784 | 46622 |
| Dan Rujescu | 106 | 552 | 60406 |
| John I. Nurnberger | 105 | 522 | 51402 |
| Ulrich Gösele | 102 | 603 | 46223 |
| Wolfgang J. Parak | 102 | 469 | 43307 |
| Martin F. Bachmann | 100 | 415 | 34124 |
| Munir Pirmohamed | 97 | 675 | 39822 |