TY - JOUR A1 - Gancheva, Sofiya A1 - Ouni, Meriem A1 - Jelenik, Tomas A1 - Koliaki, Chrysi A1 - Szendroedi, Julia A1 - Toledo, Frederico G. S. A1 - Markgraf, Daniel Frank A1 - Pesta, Dominik H. A1 - Mastrototaro, Lucia A1 - De Filippo, Elisabetta A1 - Herder, Christian A1 - Jähnert, Markus A1 - Weiss, Jürgen A1 - Strassburger, Klaus A1 - Schlensak, Matthias A1 - Schürmann, Annette A1 - Roden, Michael T1 - Dynamic changes of muscle insulin sensitivity after metabolic surgery JF - Nature Communications N2 - The mechanisms underlying improved insulin sensitivity after surgically-induced weight loss are still unclear. We monitored skeletal muscle metabolism in obese individuals before and over 52 weeks after metabolic surgery. Initial weight loss occurs in parallel with a decrease in muscle oxidative capacity and respiratory control ratio. Persistent elevation of intramyocellular lipid intermediates, likely resulting from unrestrained adipose tissue lipolysis, accompanies the lack of rapid changes in insulin sensitivity. Simultaneously, alterations in skeletal muscle expression of genes involved in calcium/lipid metabolism and mitochondrial function associate with subsequent distinct DNA methylation patterns at 52 weeks after surgery. Thus, initial unfavorable metabolic changes including insulin resistance of adipose tissue and skeletal muscle precede epigenetic modifications of genes involved in muscle energy metabolism and the long-term improvement of insulin sensitivity. Y1 - 2019 U6 - https://doi.org/10.1038/s41467-019-12081-0 SN - 2041-1723 VL - 10 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Sinclair, Nathalie A1 - Bussi, Maria G. Bartolini A1 - de Villiers, Michael A1 - Jones, Keith A1 - Kortenkamp, Ulrich A1 - Leung, Allen A1 - Owens, Kay T1 - Recent research on geometry education: an ICME-13 survey team report JF - ZDM : The International Journal on Mathematics Education N2 - This survey on the theme of Geometry Education (including new technologies) focuses chiefly on the time span since 2008. Based on our review of the research literature published during this time span (in refereed journal articles, conference proceedings and edited books), we have jointly identified seven major threads of contributions that span from the early years of learning (pre-school and primary school) through to post-compulsory education and to the issue of mathematics teacher education for geometry. These threads are as follows: developments and trends in the use of theories; advances in the understanding of visuo spatial reasoning; the use and role of diagrams and gestures; advances in the understanding of the role of digital technologies; advances in the understanding of the teaching and learning of definitions; advances in the understanding of the teaching and learning of the proving process; and, moving beyond traditional Euclidean approaches. Within each theme, we identify relevant research and also offer commentary on future directions. KW - Geometry KW - Technology KW - Diagrams KW - Definitions KW - Gestures KW - Proving KW - Digital technology KW - Visuospatial reasoning Y1 - 2016 U6 - https://doi.org/10.1007/s11858-016-0796-6 SN - 1863-9690 SN - 1863-9704 VL - 48 SP - 691 EP - 719 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Kucian, Karin A1 - Zuber, Isabelle A1 - Kohn, Juliane A1 - Poltz, Nadine A1 - Wyschkon, Anne A1 - Esser, Günter A1 - von Aster, Michael G. T1 - Relation Between Mathematical Performance, Math Anxiety, and Affective Priming in Children With and Without Developmental Dyscalculia JF - Frontiers in psychology N2 - Many children show negative emotions related to mathematics and some even develop mathematics anxiety. The present study focused on the relation between negative emotions and arithmetical performance in children with and without developmental dyscalculia (DD) using an affective priming task. Previous findings suggested that arithmetic performance is influenced if an affective prime precedes the presentation of an arithmetic problem. In children with DD specifically, responses to arithmetic operations are supposed to be facilitated by both negative and mathematics-related primes (= negative math priming effect). We investigated mathematical performance, math anxiety, and the domain-general abilities of 172 primary school children (76 with DD and 96 controls). All participants also underwent an affective priming task which consisted of the decision whether a simple arithmetic operation (addition or subtraction) that was preceded by a prime (positive/negative/neutral or mathematics-related) was true or false. Our findings did not reveal a negative math priming effect in children with DD. Furthermore, when considering accuracy levels, gender, or math anxiety, the negative math priming effect could not be replicated. However, children with DD showed more math anxiety when explicitly assessed by a specific math anxiety interview and showed lower mathematical performance compared to controls. Moreover, math anxiety was equally present in boys and girls, even in the earliest stages of schooling, and interfered negatively with performance. In conclusion, mathematics is often associated with negative emotions that can be manifested in specific math anxiety, particularly in children with DD. Importantly, present findings suggest that in the assessed age group, it is more reliable to judge math anxiety and investigate its effects on mathematical performance explicitly by adequate questionnaires than by an affective math priming task. KW - developmental dyscalculia KW - mathematics KW - affective priming KW - calculation KW - arithmetic KW - anxiety KW - gender KW - children Y1 - 2018 U6 - https://doi.org/10.3389/fpsyg.2018.00263 SN - 1664-1078 VL - 9 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Bridwell, David A. A1 - Cavanagh, James F. A1 - Collins, Anne G. E. A1 - Nunez, Michael D. A1 - Srinivasan, Ramesh A1 - Stober, Sebastian A1 - Calhoun, Vince D. T1 - Moving Beyond ERP Components BT - a selective review of approaches to integrate EEG and behavior JF - Frontiers in human neuroscienc N2 - Relationships between neuroimaging measures and behavior provide important clues about brain function and cognition in healthy and clinical populations. While electroencephalography (EEG) provides a portable, low cost measure of brain dynamics, it has been somewhat underrepresented in the emerging field of model-based inference. We seek to address this gap in this article by highlighting the utility of linking EEG and behavior, with an emphasis on approaches for EEG analysis that move beyond focusing on peaks or "components" derived from averaging EEG responses across trials and subjects (generating the event-related potential, ERP). First, we review methods for deriving features from EEG in order to enhance the signal within single-trials. These methods include filtering based on user-defined features (i.e., frequency decomposition, time-frequency decomposition), filtering based on data-driven properties (i.e., blind source separation, BSS), and generating more abstract representations of data (e.g., using deep learning). We then review cognitive models which extract latent variables from experimental tasks, including the drift diffusion model (DDM) and reinforcement learning (RL) approaches. Next, we discuss ways to access associations among these measures, including statistical models, data-driven joint models and cognitive joint modeling using hierarchical Bayesian models (HBMs). We think that these methodological tools are likely to contribute to theoretical advancements, and will help inform our understandings of brain dynamics that contribute to moment-to-moment cognitive function. KW - EEG KW - ERP KW - blind source separation KW - partial least squares KW - canonical correlations analysis KW - representational similarity analysis KW - deep learning KW - hierarchical Bayesian model Y1 - 2018 U6 - https://doi.org/10.3389/fnhum.2018.00106 SN - 1662-5161 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - GEN A1 - Siska, Veronika A1 - Jones, Eppie Ruth A1 - Jeon, Sungwon A1 - Bhak, Youngjune A1 - Kim, Hak-Min A1 - Cho, Yun Sung A1 - Kim, Hyunho A1 - Lee, Kyusang A1 - Veselovskaya, Elizaveta A1 - Balueva, Tatiana A1 - Gallego-Llorente, Marcos A1 - Hofreiter, Michael A1 - Bradley, Daniel G. A1 - Eriksson, Anders A1 - Pinhasi, Ron A1 - Bhak, Jong A1 - Manica, Andrea T1 - Genome-wide data from two early Neolithic East Asian individuals dating to 7700 years ago T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - Ancient genomes have revolutionized our understanding of Holocene prehistory and, particularly, the Neolithic transition in western Eurasia. In contrast, East Asia has so far received little attention, despite representing a core region at which the Neolithic transition took place independently similar to 3 millennia after its onset in the Near East. We report genome-wide data from two hunter-gatherers from Devil's Gate, an early Neolithic cave site (dated to similar to 7.7 thousand years ago) located in East Asia, on the border between Russia and Korea. Both of these individuals are genetically most similar to geographically close modern populations from the Amur Basin, all speaking Tungusic languages, and, in particular, to the Ulchi. The similarity to nearby modern populations and the low levels of additional genetic material in the Ulchi imply a high level of genetic continuity in this region during the Holocene, a pattern that markedly contrasts with that reported for Europe. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 791 KW - Mitochondrial-DNA analysis KW - positive selection KW - jomon skeletons KW - ancient DNA KW - pigmentation KW - population KW - admixture KW - edar KW - gene KW - polymorohism Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-439977 SN - 1866-8372 IS - 791 ER - TY - JOUR A1 - Van Hout, Cristopher V. A1 - Tachmazidou, Ioanna A1 - Backman, Joshua D. A1 - Hoffman, Joshua D. A1 - Liu, Daren A1 - Pandey, Ashutosh K. A1 - Gonzaga-Jauregui, Claudia A1 - Khalid, Shareef A1 - Ye, Bin A1 - Banerjee, Nilanjana A1 - Li, Alexander H. A1 - O'Dushlaine, Colm A1 - Marcketta, Anthony A1 - Staples, Jeffrey A1 - Schurmann, Claudia A1 - Hawes, Alicia A1 - Maxwell, Evan A1 - Barnard, Leland A1 - Lopez, Alexander A1 - Penn, John A1 - Habegger, Lukas A1 - Blumenfeld, Andrew L. A1 - Bai, Xiaodong A1 - O'Keeffe, Sean A1 - Yadav, Ashish A1 - Praveen, Kavita A1 - Jones, Marcus A1 - Salerno, William J. A1 - Chung, Wendy K. A1 - Surakka, Ida A1 - Willer, Cristen J. A1 - Hveem, Kristian A1 - Leader, Joseph B. A1 - Carey, David J. A1 - Ledbetter, David H. A1 - Cardon, Lon A1 - Yancopoulos, George D. A1 - Economides, Aris A1 - Coppola, Giovanni A1 - Shuldiner, Alan R. A1 - Balasubramanian, Suganthi A1 - Cantor, Michael A1 - Nelson, Matthew R. A1 - Whittaker, John A1 - Reid, Jeffrey G. A1 - Marchini, Jonathan A1 - Overton, John D. A1 - Scott, Robert A. A1 - Abecasis, Goncalo R. A1 - Yerges-Armstrong, Laura M. A1 - Baras, Aris T1 - Exome sequencing and characterization of 49,960 individuals in the UK Biobank JF - Nature : the international weekly journal of science N2 - The UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world(1). Here we describe the release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants (of which around 98.6% have a frequency of less than 1%). The data include 198,269 autosomal predicted loss-of-function (LOF) variants, a more than 14-fold increase compared to the imputed sequence. Nearly all genes (more than 97%) had at least one carrier with a LOF variant, and most genes (more than 69%) had at least ten carriers with a LOF variant. We illustrate the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes. In addition to replicating established associations, we found novel LOF variants with large effects on disease traits, includingPIEZO1on varicose veins,COL6A1on corneal resistance,MEPEon bone density, andIQGAP2andGMPRon blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical importance, and show that 2% of this population has a medically actionable variant. Furthermore, we characterize the penetrance of cancer in carriers of pathogenicBRCA1andBRCA2variants. Exome sequences from the first 49,960 participants highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community.
Exome sequences from the first 49,960 participants in the UK Biobank highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community. KW - clinical exome KW - breast-cancer KW - mutations KW - recommendations KW - gene KW - metaanalysis KW - variants, KW - BRCA1 KW - risk KW - susceptibility Y1 - 2020 U6 - https://doi.org/10.1038/s41586-020-2853-0 SN - 0028-0836 SN - 1476-4687 VL - 586 IS - 7831 SP - 749 EP - 756 PB - Macmillan Publishers Limited CY - London ER - TY - JOUR A1 - Barbier, Guillaume A1 - Oesterhelt, Christine A1 - Larson, Matthew D. A1 - Halgren, Robert G. A1 - Wilkerson, Curtis A1 - Garavito, Michael R. A1 - Benning, Christoph A1 - Weber, Andreas P. M. T1 - Comparative genomics of two closely related unicellular thermo-acidophilic red algae, Galdieria sulphuraria and Cyanidioschyzon merolae, reveals the molecular basis of the metabolic flexibility of Galdieria sulphuraria and sigant differences in carbohydrate metabolism of both algae N2 - Unicellular algae serve as models for the study and discovery of metabolic pathways, for the functional dissection of cell biological processes such as organellar division and cell motility, and for the identification of novel genes and gene functions. The recent completion of several algal genome sequences and expressed sequence tag collections and the establishment of nuclear and organellar transformation methods has opened the way for functional genomics approaches using algal model systems. The thermo-acidophilic unicellular red alga Galdieria sulphuraria represents a particularly interesting species for a genomics approach owing to its extraordinary metabolic versatility such as heterotrophic and mixotrophic growth on more than 50 different carbon sources and its adaptation to hot acidic environments. However, the ab initio prediction of genes required for unknown metabolic pathways from genome sequences is not trivial. A compelling strategy for gene identification is the comparison of similarly sized genomes of related organisms with different physiologies. Using this approach, candidate genes were identified that are critical to the metabolic versatility of Galdieria. Expressed sequence tags and high-throughput genomic sequence reads covering >70% of the G. sulphuraria genome were compared to the genome of the unicellular, obligate photoautotrophic red alga Cyanidioschyzon merolae. More than 30% of the Galdieria sequences did not relate to any of the Cyandioschyzon genes. A closer inspection of these sequences revealed a large number of membrane transporters and enzymes of carbohydrate metabolism that are unique to Galdieria. Based on these data, it is proposed that genes involved in the uptake of reduced carbon compounds and enzymes involved in their metabolism are crucial to the metabolic flexibility of G. sulphuraria Y1 - 2005 ER - TY - JOUR A1 - Sankaran, Mahesh A1 - Hanan, Niall P. A1 - Scholes, Robert J. A1 - Ratnam, Jayashree A1 - Cade, Brian S. A1 - Ardo, Jonas A1 - Augustine, David J. A1 - Banyikwa, Feetham A1 - Bronn, Andries A1 - Bucini, Gabriela A1 - Caylor, Kelly K. A1 - Coughenour, Michael B. A1 - Diouf, Alioune A1 - Feral, Christie J. A1 - February, Edmund C. A1 - Frost, Peter G. H. T1 - Determinants of woody cover in African savannas N2 - Savannas are globally important ecosystems of great significance to human economies. In these biomes, which are characterized by the co-dominance of trees and grasses, woody cover is a chief determinant of ecosystem properties(1-3). The availability of resources ( water, nutrients) and disturbance regimes ( fire, herbivory) are thought to be important in regulating woody cover(1,2,4,5), but perceptions differ on which of these are the primary drivers of savanna structure. Here we show, using data from 854 sites across Africa, that maximum woody cover in savannas receiving a mean annual precipitation (MAP) of less than similar to 650 mm is constrained by, and increases linearly with, MAP. These arid and semi-arid savannas may be considered 'stable' systems in which water constrains woody cover and permits grasses to coexist, while fire, herbivory and soil properties interact to reduce woody cover below the MAP- controlled upper bound. Above a MAP of similar to 650 mm, savannas are 'unstable' systems in which MAP is sufficient for woody canopy closure, and disturbances ( fire, herbivory) are required for the coexistence of trees and grass. These results provide insights into the nature of African savannas and suggest that future changes in precipitation(6) may considerably affect their distribution and dynamics Y1 - 2005 ER - TY - JOUR A1 - Flögel, W.-A, A1 - Märker, Michael A1 - Moretti, S. A1 - Rodolfi, G. T1 - Integrating GIS, Remote Sensing, Ground Trouthing and Modelling Approaches for Regional Erosion Classification of semiarid catchments in South Africa and Swaziland Y1 - 2003 ER - TY - JOUR A1 - Sidorchuk, A. A1 - Märker, Michael A1 - Moretti, S. A1 - Rodolfi, G. T1 - Gully erosion modelling and landscape response in the Mbuluzi River catchment of Swaziland Y1 - 2003 SN - 0341-8162 ER -