Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Addendum: The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, Mark D. ; Dumontier, Michel ; Aalbersberg, Ijsbrand Jan ; Appleton, Gabrielle ; Axton, Myles ; Baak, Arie ; Blomberg, Niklas ; Boiten, Jan Willem ; Silva Santos, Luiz Bonino Da; Bourne, Philip E. ; Bouwman, Jildau ; Brookes, Anthony J. ; Clark, Tim ; Crosas, Mercè ; Dillo, Ingrid ; Dumon, Olivier ; Edmunds, Scott ; Evelo, Chris T. ; Finkers, Richard ; Gonzalez-Beltran, Alejandra ; Gray, Alasdair J.G. ; Groth, Paul ; Goble, Carole ; Grethe, Jeffrey S. ; Heringa, Jaap ; Hoen, Peter A.C. 't; Hooft, Rob ; Kuhn, Tobias ; Kok, Ruben ; Kok, Joost ; Lusher, Scott J. ; Martone, Maryann E. ; Mons, Albert ; Packer, Abel L. ; Persson, Bengt ; Rocca-Serra, Philippe ; Roos, Marco ; Schaik, Rene van; Sansone, Susanna Assunta ; Schultes, Erik ; Sengstag, Thierry ; Slater, Ted ; Strawn, George ; Swertz, Morris A. ; Thompson, Mark ; Lei, Johan van der; Mulligen, Erik van; Velterop, Jan ; Waagmeester, Andra ; Wittenburg, Peter ; Wolstencroft, Katherine ; Zhao, Jun ; Mons, Barend - \ 2019
Scientific Data 6 (2019). - ISSN 2052-4463

DNA methylation as a mediator of the association between prenatal adversity and risk factors for metabolic disease in adulthood
Tobi, Elmar W. ; Slieker, Roderick C. ; Luijk, René ; Dekkers, Koen F. ; Stein, Aryeh D. ; Xu, Kate M. ; Slagboom, P.E. ; Zwet, Erik W. Van; Lumey, L.H. ; Heijmans, Bastiaan T. ; T'Hoen, Peter A. ; Pool, René ; Greevenbroek, Marleen M. Van; Stehouwer, Coen D. ; Kallen, Carla J. Van Der; Schalkwijk, Casper G. ; Wijmenga, Cisca ; Zhernakova, Sasha ; Tigchelaar, Ettje F. ; Beekman, Marian ; Deelen, Joris ; Heemst, Diana Van; Veldink, Jan H. ; Berg, Leonard H. Van Den; Duijn, Cornelia M. Van; Hofman, Albert ; Uitterlinden, André G. ; Jhamai, P.M. ; Verbiest, Michael ; Verkerk, Marijn ; Breggen, Ruud Van Der; Rooij, Jeroen Van; Lakenberg, Nico ; Mei, Hailiang ; Bot, Jan ; Zhernakova, Dasha V. ; Hof, Peter Van 't; Deelen, Patrick ; Nooren, Irene ; Moed, Matthijs ; Vermaat, Martijn ; Jan Bonder, Marc ; Dijk, Freerk Van; Arindrarto, Wibowo ; Kielbasa, Szymon M. ; Swertz, Morris A. ; Isaacs, Aaron ; Franke, Lude - \ 2018
Science Advances 4 (2018)1. - ISSN 2375-2548
Although it is assumed that epigenetic mechanisms, such as changes in DNA methylation (DNAm), underlie the relationship between adverse intrauterine conditions and adult metabolic health, evidence from human studies remains scarce. Therefore, we evaluated whether DNAm in whole blood mediated the association between prenatal famine exposure and metabolic health in 422 individuals exposed to famine in utero and 463 (sibling) controls. We implemented a two-step analysis, namely, a genome-wide exploration across 342, 596 cytosine-phosphate-guanine dinucleotides (CpGs) for potential mediators of the association between prenatal famine exposure and adult body mass index (BMI), serum triglycerides (TG), or glucose concentrations, which was followed by formalmediation analysis.DNAm mediated the association of prenatal famine exposure with adult BMI and TG but not with glucose. DNAm at PIM3 (cg09349128), a gene involved in energy metabolism, mediated 13.4% [95% confidence interval (CI), 5 to 28%] of the association between famine exposure and BMI. DNAm at six CpGs, including TXNIP (cg19693031), influencing b cell function, and ABCG1 (cg07397296), affecting lipid metabolism, together mediated 80% (95% CI, 38.5 to 100%) of the association between famine exposure and TG. Analyses restricted to those exposed to famine during early gestation identified additional CpGs mediating the relationship with TG near PFKFB3 (glycolysis) and METTL8 (adipogenesis). DNAm at the CpGs involved was associated with gene expression in an external data set and correlated with DNAm levels in fat depots in additional postmortem data. Our data are consistent with the hypothesis that epigenetic mechanisms mediate the influence of transient adverse environmental factors in early life on long-termmetabolic health. The specific mechanism awaits elucidation.
reGenotyper: Detecting mislabeled samples in genetic data
Zych, Konrad ; Snoek, Basten L. ; Elvin, Mark ; Rodriguez, Miriam ; Velde, K.J. Van Der; Arends, Danny ; Westra, Harm-Jan ; Swertz, Morris A. ; Poulin, Gino ; Kammenga, Jan E. ; Breitling, Rainer ; Jansen, Ritsert C. ; Li, Yang - \ 2017
PLoS ONE 12 (2017)2. - ISSN 1932-6203
In high-throughput molecular profiling studies, genotype labels can be wrongly assigned at various experimental steps; the resulting mislabeled samples seriously reduce the power to detect the genetic basis of phenotypic variation. We have developed an approach to detect potential mislabeling, recover the “ideal” genotype and identify “best-matched” labels for mislabeled samples. On average, we identified 4% of samples as mislabeled in eight published datasets, highlighting the necessity of applying a “data cleaning” step before standard data analysis.
Genome-wide analysis identifies 12 loci influencing human reproductive behavior
Barban, Nicola ; Jansen, Rick ; Vlaming, Ronald de; Vaez, Ahmad ; Mandemakers, Jornt J. ; Tropf, Felix C. ; Shen, Xia ; Wilson, James F. ; Chasman, Daniel I. ; Nolte, Ilja M. ; Tragante, Vinicius ; Laan, Sander W. van der; Perry, John R.B. ; Kong, Augustine ; Ahluwalia, Tarunveer S. ; Albrecht, Eva ; Yerges-Armstrong, Laura ; Atzmon, Gil ; Auro, Kirsi ; Ayers, Kristin ; Bakshi, Andrew ; Ben-Avraham, Danny ; Berger, Klaus ; Bergman, Aviv ; Bertram, Lars ; Bielak, Lawrence F. ; Bjornsdottir, Gyda ; Bonder, Marc Jan ; Broer, Linda ; Bui, Minh ; Barbieri, Caterina ; Cavadino, Alana ; Chavarro, Jorge E. ; Turman, Constance ; Concas, Maria Pina ; Cordell, Heather J. ; Davies, Gail ; Eibich, Peter ; Eriksson, Nicholas ; Esko, Tõnu ; Eriksson, Joel ; Falahi, Fahimeh ; Felix, Janine F. ; Fontana, Mark Alan ; Franke, Lude ; Gandin, Ilaria ; Gaskins, Audrey J. ; Gieger, Christian ; Gunderson, Erica P. ; Guo, Xiuqing ; Hayward, Caroline ; He, Chunyan ; Hofer, Edith ; Huang, Hongyan ; Joshi, Peter K. ; Kanoni, Stavroula ; Karlsson, Robert ; Kiechl, Stefan ; Kifley, Annette ; Kluttig, Alexander ; Kraft, Peter ; Lagou, Vasiliki ; Lecoeur, Cecile ; Lahti, Jari ; Li-Gao, Ruifang ; Lind, Penelope A. ; Liu, Tian ; Makalic, Enes ; Mamasoula, Crysovalanto ; Matteson, Lindsay ; Mbarek, Hamdi ; McArdle, Patrick F. ; McMahon, George ; Meddens, S.F.W. ; Mihailov, Evelin ; Miller, Mike ; Missmer, Stacey A. ; Monnereau, Claire ; Most, Peter J. van der; Myhre, Ronny ; Nalls, Mike A. ; Nutile, Teresa ; Kalafati, Ioanna Panagiota ; Porcu, Eleonora ; Prokopenko, Inga ; Rajan, Kumar B. ; Rich-Edwards, Janet ; Rietveld, Cornelius A. ; Robino, Antonietta ; Rose, Lynda M. ; Rueedi, Rico ; Ryan, Kathleen A. ; Saba, Yasaman ; Schmidt, Daniel ; Smith, Jennifer A. ; Stolk, Lisette ; Streeten, Elizabeth ; Tönjes, Anke ; Thorleifsson, Gudmar ; Ulivi, Sheila ; Wedenoja, Juho ; Wellmann, Juergen ; Willeit, Peter ; Yao, Jie ; Yengo, Loic ; Zhao, Jing Hua ; Zhao, Wei ; Zhernakova, Daria V. ; Amin, Najaf ; Andrews, Howard ; Balkau, Beverley ; Barzilai, Nir ; Bergmann, Sven ; Biino, Ginevra ; Bisgaard, Hans ; Bønnelykke, Klaus ; Boomsma, Dorret I. ; Buring, Julie E. ; Campbell, Harry ; Cappellani, Stefania ; Ciullo, Marina ; Cox, Simon R. ; Cucca, Francesco ; Toniolo, Daniela ; Davey-Smith, George ; Deary, Ian J. ; Dedoussis, George ; Deloukas, Panos ; Duijn, Cornelia M. van; Geus, Eco J.C. de; Eriksson, Johan G. ; Evans, Denis A. ; Faul, Jessica D. ; Sala, Cinzia Felicita ; Froguel, Philippe ; Gasparini, Paolo ; Girotto, Giorgia ; Grabe, Hans-Jörgen ; Greiser, Karin Halina ; Groenen, Patrick J.F. ; Haan, Hugoline G. de; Haerting, Johannes ; Harris, Tamara B. ; Heath, Andrew C. ; Heikkilä, Kauko ; Hofman, Albert ; Homuth, Georg ; Holliday, Elizabeth G. ; Hopper, John ; Hyppönen, Elina ; Jacobsson, Bo ; Jaddoe, Vincent W.V. ; Johannesson, Magnus ; Jugessur, Astanand ; Kähönen, Mika ; Kajantie, Eero ; Kardia, Sharon L.R. ; Keavney, Bernard ; Kolcic, Ivana ; Koponen, Päivikki ; Kovacs, Peter ; Kronenberg, Florian ; Kutalik, Zoltan ; Bianca, Martina la; Lachance, Genevieve ; Iacono, William G. ; Lai, Sandra ; Lehtimäki, Terho ; Liewald, David C. ; Lindgren, Cecilia M. ; Liu, Yongmei ; Luben, Robert ; Lucht, Michael ; Luoto, Riitta ; Magnus, Per ; Magnusson, Patrik K.E. ; Martin, Nicholas G. ; McGue, Matt ; McQuillan, Ruth ; Medland, Sarah E. ; Meisinger, Christa ; Mellström, Dan ; Metspalu, Andres ; Traglia, Michela ; Milani, Lili ; Mitchell, Paul ; Montgomery, Grant W. ; Mook-Kanamori, Dennis ; Mutsert, Renée de; Nohr, Ellen A. ; Ohlsson, Claes ; Olsen, Jørn ; Ong, Ken K. ; Paternoster, Lavinia ; Pattie, Alison ; Penninx, Brenda W.J.H. ; Perola, Markus ; Peyser, Patricia A. ; Pirastu, Mario ; Polasek, Ozren ; Power, Chris ; Kaprio, Jaakko ; Raffel, Leslie J. ; Räikkönen, Katri ; Raitakari, Olli ; Ridker, Paul M. ; Ring, Susan M. ; Roll, Kathryn ; Rudan, Igor ; Ruggiero, Daniela ; Rujescu, Dan ; Salomaa, Veikko ; Schlessinger, David ; Schmidt, Helena ; Schmidt, Reinhold ; Schupf, Nicole ; Smit, Johannes ; Sorice, Rossella ; Spector, Tim D. ; Starr, John M. ; Stöckl, Doris ; Strauch, Konstantin ; Stumvoll, Michael ; Swertz, Morris A. ; Thorsteinsdottir, Unnur ; Thurik, A.R. ; Timpson, Nicholas J. ; Tung, Joyce Y. ; Uitterlinden, André G. ; Vaccargiu, Simona ; Viikari, Jorma ; Vitart, Veronique ; Völzke, Henry ; Vollenweider, Peter ; Vuckovic, Dragana ; Waage, Johannes ; Wagner, Gert G. ; Wang, Jie Jin ; Wareham, Nicholas J. ; Weir, David R. ; Willemsen, Gonneke ; Willeit, Johann ; Wright, Alan F. ; Zondervan, Krina T. ; Stefansson, Kari ; Krueger, Robert F. ; Lee, James J. ; Benjamin, Daniel J. ; Cesarini, David ; Koellinger, Philipp D. ; Hoed, Marcel den; Snieder, Harold ; Mills, Melinda C. - \ 2016
Nature Genetics 48 (2016)12. - ISSN 1061-4036 - p. 1462 - 1472.
The genetic architecture of human reproductive behavior—age at first birth (AFB) and number of children ever born (NEB)—has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.
A novel biomarker panel for irritable bowel syndrome and the application in the general population
Mujagic, Zlatan ; Tigchelaar, Ettje F. ; Zhernakova, Alexandra ; Ludwig, Thomas ; Ramiro-Garcia, Javier ; Baranska, Agnieszka ; Swertz, Morris A. ; Masclee, A.A.M. ; Wijmenga, Cisca ; Schooten, Frederik J. Van; Smolinska, Agnieszka ; Jonkers, Daisy M.A.E. - \ 2016
Scientific Reports 6 (2016). - ISSN 2045-2322

Biological markers that measure gut health and diagnose functional gastro-intestinal (GI) disorders, such as irritable bowel syndrome (IBS), are lacking. The objective was to identify and validate a biomarker panel associated with the pathophysiology of IBS that discriminates IBS from healthy controls (HC), and correlates with GI symptom severity. In a case-control design, various plasma and fecal markers were measured in a cohort of 196 clinical IBS patients and 160 HC without GI symptoms. A combination of biomarkers, which best discriminates between IBS and HC was identified and validated in an independent internal validation set and by permutation testing. The correlation between the biomarker panel and GI symptom severity was tested in IBS patients and in a general population cohort of 958 subjects. A set of 8 biomarker panel was identified to discriminate IBS from HC with high sensitivity (88.1%) and specificity (86.5%). The results for the IBS subtypes were comparable. Moreover, a moderate correlation was found between the biomarker panel and GI symptom scores in the IBS (r = 0.59, p <0.001) and the general population cohorts (r = 0.51, p = 0.003). A novel multi-domain biomarker panel has been identified and validated, which correlated moderately to GI symptom severity in IBS and general population subjects.

The FAIR Guiding Principles for scientific data management and stewardship : Comment
Wilkinson, Mark D. ; Dumontier, Michel ; Aalbersberg, Ijsbrand Jan ; Appleton, Gabrielle ; Axton, Myles ; Baak, Arie ; Blomberg, Niklas ; Boiten, Jan Willem ; Silva Santos, Luiz Bonino Da; Bourne, Philip E. ; Bouwman, Jildau ; Brookes, Anthony J. ; Clark, Tim ; Crosas, Mercè ; Dillo, Ingrid ; Dumon, Olivier ; Edmunds, Scott ; Evelo, Chris T. ; Finkers, Richard ; Gonzalez-Beltran, Alejandra ; Gray, Alasdair J.G. ; Groth, Paul ; Goble, Carole ; Grethe, Jeffrey S. ; Heringa, Jaap ; Hoen, Peter A.C. 't; Hooft, Rob ; Kuhn, Tobias ; Kok, Ruben ; Kok, Joost ; Lusher, Scott J. ; Martone, Maryann E. ; Mons, Albert ; Packer, Abel L. ; Persson, Bengt ; Rocca-Serra, Philippe ; Roos, Marco ; Schaik, Rene van; Sansone, Susanna Assunta ; Schultes, Erik ; Sengstag, Thierry ; Slater, Ted ; Strawn, George ; Swertz, Morris A. ; Thompson, Mark ; Lei, Johan van der; Mulligen, Erik van; Velterop, Jan ; Waagmeester, Andra ; Wittenburg, Peter ; Wolstencroft, Katherine ; Zhao, Jun ; Mons, Barend - \ 2016
Scientific Data 3 (2016). - ISSN 2052-4463

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

Cohort profile: Lifelines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics
Tigchelaar, E.F. ; Zhernakova, A. ; Dekens, J.A.M. ; Hermes, G.D.A. ; Baranska, A. ; Mujagic, Z. ; Swertz, M.A. ; Munoz, A.M. ; Deelen, P. ; Cenit, M.C. ; Franke, L. ; Scholtens, S. ; Stolk, R.P. ; Wijmenga, C. ; Feskens, E.J.M. - \ 2015
BMJ Open 5 (2015). - ISSN 2044-6055 - 9 p.
Purpose There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing for studies that can identify biomarkers and disease-modifying effects, and thereby contributing to systems epidemiology. Participants This paper describes the design and baseline characteristics of an intensively examined subpopulation of the LifeLines cohort in the Netherlands. In this unique subcohort, LifeLines DEEP, we included 1539 participants aged 18 years and older. Findings to date We collected additional blood (n=1387), exhaled air (n=1425) and faecal samples (n=1248), and elicited responses to gastrointestinal health questionnaires (n=1176) for analysis of the genome, epigenome, transcriptome, microbiome, metabolome and other biological levels. Here, we provide an overview of the different data layers in LifeLines DEEP and present baseline characteristics of the study population including food intake and quality of life. We also describe how the LifeLines DEEP cohort allows for the detailed investigation of genetic, genomic and metabolic variation for a wide range of phenotypic outcomes. Finally, we examine the determinants of gastrointestinal health, an area of particular interest to us that can be addressed by LifeLines DEEP. Future plans We have established a cohort of which multiple data levels allow for the integrative analysis of populations for translation of this information into biomarkers for disease, and which will offer new insights into disease mechanisms and prevention.
Worm variation made accessible: Take your shopping cart to store, link, and investigate!
Snoek, L.B. ; Velde, K.J. van der; Li, Y. ; Jansen, R.C. ; Swertz, M.A. ; Kammenga, J.E. - \ 2014
Worm 3 (2014)1. - ISSN 2162-4054 - 7 p.
In Caenorhabditis elegans, the recent advances in high-throughput quantitative analyses of natural genetic and phenotypic variation have led to a wealth of data on genotype phenotype relations. This data has resulted in the discovery of genes with major allelic effects and insights in the effect of natural genetic variation on a whole range of complex traits as well as how this variation is distributed across the genome. Regardless of the advances presented in specific studies, the majority of the data generated in these studies had yet to be made easily accessible, allowing for meta-analysis. Not only data in figures or tables but meta-data should be accessible for further investigation and comparison between studies. A platform was created where all the data, phenotypic measurements, genotypes, and mappings can be stored, compared, and new linkages within and between published studies can be discovered. WormQTL focuses on quantitative genetics in Caenorhabditis and other nematode species, whereas WormQTLHD quantitatively links gene expression quantitative trait loci (eQTL) in C. elegans to gene–disease associations in humans
WormQTL HD—a web database for linking human disease to natural variation data in C. elegans
Velde, K.J. van der; Haan, M. de; Zych, K. ; Arends, D. ; Snoek, L.B. ; Kammenga, J.E. ; Jansen, R.C. ; Swertz, M.A. ; Li, Y. - \ 2014
Nucleic acids research 42 (2014)D1. - ISSN 0305-1048 - p. D794 - D801.
life-history traits - caenorhabditis-elegans - systems biology - stress-response - genotype - genome - qtl - environment - identification - polymorphism
Interactions between proteins are highly conserved across species. As a result, the molecular basis of multiple diseases affecting humans can be studied in model organisms that offer many alternative experimental opportunities. One such organism— Caenorhabditis elegans—has been used to produce much molecular quantitative genetics and systems biology data over the past decade. We present WormQTLHD (Human Disease), a database that quantitatively and systematically links expression Quantitative Trait Loci (eQTL) findings in C. elegans to gene–disease associations in man. WormQTLHD, available online at http://www.wormqtl-hd.org, is a user-friendly set of tools to reveal functionally coherent, evolutionary conserved gene networks. These can be used to predict novel gene-to-gene associations and the functions of genes underlying the disease of interest. We created a new database that links C. elegans eQTL data sets to human diseases (34 337 gene–disease associations from OMIM, DGA, GWAS Central and NHGRI GWAS Catalogue) based on overlapping sets of orthologous genes associated to phenotypes in these two species. We utilized QTL results, high-throughput molecular phenotypes, classical phenotypes and genotype data covering different developmental stages and environments from WormQTL database. All software is available as open source, built on MOLGENIS and xQTL workbench.
WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp
Snoek, L.B. ; Velde, K.J. van der; Arends, D. ; Li, Y. ; Beyer, A. ; Elvin, M. ; Fisher, J. ; Hajnal, A. ; Hengartner, M. ; Poulin, G. ; Rodriguez Sanchez, M. ; Schmid, T. ; Schrimpf, S. ; Xue, F. ; Jansen, R.C. ; Kammenga, J.E. ; Swertz, M.A. - \ 2013
Nucleic acids research 41 (2013)D1. - ISSN 0305-1048 - p. D738 - D743.
life-history traits - c. elegans - systems biology - qtl - polymorphism - genotype - environment - plasticity - platform - genome
Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumental for molecular quantitative genetics and the systems biology of natural variation. These efforts have resulted in a valuable amount of phenotypic, high-throughput molecular and genotypic data across different developmental worm stages and environments in hundreds of C. elegans strains. WormQTL provides a workbench of analysis tools for genotype–phenotype linkage and association mapping based on but not limited to R/qtl (http://www.rqtl.org). All data can be uploaded and downloaded using simple delimited text or Excel formats and are accessible via a public web user interface for biologists and R statistic and web service interfaces for bioinformaticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers.
Boekrecensie Roesten van Nederland : auteurs: A.J. Termorshuizen & C.A. Swertz
Niks, R.E. - \ 2012
Gewasbescherming 43 (2012). - ISSN 0166-6495 - p. 86 - 87.
roestziekten - schimmelziekten - plantenziekteverwekkende schimmels - plantenziekten - nederland - naslagwerken - rust diseases - fungal diseases - plant pathogenic fungi - plant diseases - netherlands - reference works
Eind 2011 verscheen er een zeer opmerkelijk boek over een buitengewoon interessante groep plantenziekten: de roestschimmels. Het meest opvallende is dat het boek (ook) geschreven is voor hobbybiologen en natuurliefhebbers.
WormQTL – Public archive and analysis web portal for C. elegans natural variation data
Snoek, L.B. ; Li, Y. ; Velde, J.K. van der; Arends, D. ; Beyer, A. ; Elvin, M. ; Fisher, J. ; Hajnal, A. ; Hengartner, M. ; Poulin, G. ; Rodriguez Sanchez, M. ; Schmid, T. ; Schrimpf, S. ; Xue, F. ; Zheng, X. ; Jansen, R.C. ; Kammenga, J.E. ; Swertz, M.A. - \ 2012
In: Abstracts of papers presented at the Evolution of Caenorhabditis and Other Nematodes, Cold Spring Harbor Laboratory, New York, USA, 3-6 April 2012. - - p. 48 - 48.
WormQTL – Public archive and analysis web portal for C. elegans natural variation data Basten L Snoek¹, Yang Li², Joeri K van der Velde², Danny Arends², Antje Beyer³, Mark Elvin 4, Jasmin Fisher³, Alex Hajnal5, Michael Hengartner5, Gino B Poulin4, Miriam Rodriguez¹,Tobias Schmid5, Sabine Schrimpf5, Feng Xue4, Xue Zheng5 , Ritsert C Jansen², Jan E Kammenga¹, Morris A Swertz2,6 1Wageningen University, Nematology, Wageningen, 7608PB, Netherlands, ²University of Groningen, Bioinformatics Centre, Groningen, 9747AG, Netherlands, ³Microsoft Research, Programming Principles and Tools, Cambridge, CB3 0FB, United Kingdom, 4 University of Manchester, Life Sciences, Manchester, M13 9PT, United Kingdom, 5University of Zurich, Molecular Life Sciences, Zurich, CH-8057, Switzerland, 6University Medical Centre, Genomics Coordination, Groningen, 9700RB, Netherlands Over the past decade increased efforts have been made to explore the model species C. elegans as a platform for molecular quantitative genetics and the systems biology of natural variation. These efforts have resulted in a huge amount of phenotypic and genotypic data across developmental worm stages and environments. To facilitate the accessibility, comparative analysis and meta-analysis of all these data we present WormQTL, a public web portal for the management of all these new data and for integrated development of suitable analysis tools. The web server provides a rich set of data and analysis tools available for direct use, based on R/qtl software. But users can also upload and share new scripts as ‘plugin’ for colleagues in the community. Furthermore, new data can be uploaded and downloaded using XGAP, which is an extensible text format for genotypes and phenotypes (Swertz et al. 2010a). All data and tools can be accessed via web user interfaces and programming interfaces. Large consortia as well as individual researchers can make use of a private area that is under embargo for publication. All software is free for download as MOLGENIS ‘app’ (Swertz et al. 2010b). WormQTL is freely accessible without registration and is hosted on a large computational cluster enabling high throughput analyses. We present WormQTL as an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers. Funding: The Centre for BioSystems Genomics (CBSG) and the Netherlands Consortium of Systems Biology (NCSB), both of which are part of the Netherlands Genomics Initiative / Netherlands Organisation for Scientific Research and the EU 7th Framework Programme under the Research Project PANACEA, contract nr 222936.
xQTL workbench: a scalable web environment for multi-level QTL analysis
Arends, D. ; Velde, K.J. van der; Prins, J.C.P. ; Broman, K.W. ; Möller, S. ; Jansen, R.C. ; Swertz, M.A. - \ 2012
Bioinformatics 28 (2012)7. - ISSN 1367-4803 - p. 1042 - 1044.
experimental crosses - molgenis - r/qtl
Summary: xQTL workbench is a scalable web platform for the mapping of quantitative trait loci (QTLs) at multiple levels: for example gene expression (eQTL), protein abundance (pQTL), metabolite abundance (mQTL) and phenotype (phQTL) data. Popular QTL mapping methods for model organism and human populations are accessible via the web user interface. Large calculations scale easily on to multi-core computers, clusters, and Cloud. All data involved can be uploaded and queried online: markers, genotypes, microarrays, NGS, LC-MS, GC-MS, NMR, etc. When new data types come available, xQTL workbench is quickly customized using the Molgenis software generator.
Bioinformatics tools and database resources for systems genetics analysis in miceça short review and an evaluation of future needs
Durrant, M.C. ; Swertz, M.A. ; Alberts, R. ; Arends, D. ; Möller, S. ; Mott, R. ; Prins, J.C.P. ; Velde, K.J. van der; Jansen, R.C. ; Schughart, K. - \ 2012
Briefings in Bioinformatics 13 (2012)2. - ISSN 1467-5463 - p. 135 - 142.
quantitative trait loci - collaborative cross - powerful resource - complex - atherosclerosis - genomics - biology - genes - r/qtl - men
During a meeting of the SYSGENET working group ‘Bioinformatics’, currently available software tools and databases for systems genetics in mice were reviewed and the needs for future developments discussed. The group evaluated interoperability and performed initial feasibility studies. To aid future compatibility of software and exchange of already developed software modules, a strong recommendation was made by the group to integrate HAPPY and R/qtl analysis toolboxes, GeneNetwork and XGAP database platforms, and TIQS and xQTL processing platforms. R should be used as the principal computer language for QTL data analysis in all platforms and a ‘cloud’ should be used for software dissemination to the community. Furthermore, the working group recommended that all data models and software source code should be made visible in public repositories to allow a coordinated effort on the use of common data structures and file formats.
Combining Genetic Variation with Targeted Knock-downs to Construct Gene Networks of Complex Human Diseases in C. elegans
Kammenga, J.E. ; Fisher, J. ; Li, Y. ; Swertz, M.A. ; Elvin, M. ; Poulin, G. ; Snoek, L.B. ; Rodriguez Sanchez, M. ; Beyer, A. ; Schrimpf, S. ; Velde, J. van de; Escobar, J. ; Schmid, T. ; Zheng, C. ; Hajnal, A. ; Hengartner, M. ; Jansen, R. - \ 2011
In: Abstract Book of the 12th International Conference on Systems Biology, Heidelberg/Mannheim, Germany, 28 August - 1 September 2011. - Heidelberg : IBM System Storage Solutions - p. 116 - 116.
The nematode worm C. elegans has intensively been studied for complex human disease pathways. Within the EU FP7 funded PANACEA consortium we perform a quantitative pathway analysis of natural variation in complex disease signalling in C. elegans. Here, we present a robust approach for selecting candidate genes associated with the Notch, Wnt and RAS pathway using a combination of recombinant inbred lines (RILs), derived from a cross of the wildtypes N2 and CB4856, and RNAi. The consortium focuses on the transcriptome, proteome and cellular development. We tested 180 different RNAi’s targeted against genes within these three pathways in a set of 50 RILs. We highlight a case of this cryptic genetic variation in genome wide gene expression levels underlying a gld-1 knock-down (a gene involved in germline development) This revealed new candidate regulators of gld-1 affected gene expression. Furthermore we will show how mutations of the RAS pathway in different genetic backgrounds lead to the discovery of hidden modifiers affecting vulva-development, an important readout of cancer signalling pathways. All this (transcriptomics, proteomics and phenotypic) data will feed into a predictive model of vulva development which can be used to investigate the relative contributions of various recombinants.
Global Genetic Robustness of the Alternative Splicing Machinery in Caenorhabditis elegans
Li, Y. ; Breitling, R. ; Snoek, L.B. ; Velde, K.J. van der; Swertz, M.A. ; Riksen, J.A.G. ; Jansen, R.C. ; Kammenga, J.E. - \ 2010
Genetics 186 (2010). - ISSN 0016-6731 - p. 405 - 410.
statistics
Alternative splicing is considered a major mechanism for creating multicellular diversity from a limited repertoire of genes. Here, we performed the first study of genetic variation controlling alternative splicing patterns by comprehensively identifying quantitative trait loci affecting the differential expression of transcript isoforms in a large recombinant inbred population of Caenorhabditis elegans, using a new generation of whole-genome very-high-density oligonucleotide microarrays. Using 60 experimental lines, we were able to detect 435 genes with substantial heritable variation, of which 36% were regulated at a distance (in trans). Nonetheless, we find only a very small number of examples of heritable variation in alternative splicing (22 transcripts), and most of these genes colocalize with the associated genomic loci. Our findings suggest that the regulatory mechanism of alternative splicing in C. elegans is robust toward genetic variation at the genome-wide scale, which is in striking contrast to earlier observations in humans.
MetaNetwork: a computational protocol for the genetic study of metabolic networks
Fu, J. ; Swertz, M.A. ; Keurentjes, J.J.B. ; Jansen, R.C. - \ 2007
Nature protocols 2 (2007). - ISSN 1754-2189 - p. 685 - 694.
quantitative trait loci - expression - arabidopsis - genomics - pathway - association - discovery - linkage - aracyc - yeast
We here describe the MetaNetwork protocol to reconstruct metabolic networks using metabolite abundance data from segregating populations. MetaNetwork maps metabolite quantitative trait loci (mQTLs) underlying variation in metabolite abundance in individuals of a segregating population using a two-part model to account for the often observed spike in the distribution of metabolite abundance data. MetaNetwork predicts and visualizes potential associations between metabolites using correlations of mQTL profiles, rather than of abundance profiles. Simulation and permutation procedures are used to assess statistical significance. Analysis of about 20 metabolite mass peaks from a mass spectrometer takes a few minutes on a desktop computer. Analysis of 2,000 mass peaks will take up to 4 days. In addition, MetaNetwork is able to integrate high-throughput data from subsequent metabolomics, transcriptomics and proteomics experiments in conjunction with traditional phenotypic data. This way MetaNetwork will contribute to a better integration of such data into systems biology.
Integrale benadering biodiversiteit
Steingröver, E.G. ; Ruiter, P.C. de; Siepel, H. ; Smulders, M.J.M. ; Swertz, C. - \ 1997
Unknown Publisher (RMNO 128 128)
Morphology of germlings of urediniospores and its value for the identification and classification of grass rust fungi
Swertz, C.A. - \ 1994
Agricultural University. Promotor(en): J.E. Parlevliet, co-promotor(en): R.E. Niks. - Baarn etc. : Centraal Bureau voor Schimmelcultures - ISBN 9789070351243 - 157
pucciniales - roestziekten - graansoorten - voedselgewassen - plantenanatomie - plantenmorfologie - plantenziekteverwekkende schimmels - planten - identificatie - voedergrassen - pucciniales - rust diseases - cereals - food crops - plant anatomy - plant morphology - plant pathogenic fungi - plants - identification - fodder grasses

The identification and classification of grass rust fungi is often difficult since most traditionally used morphological characters are quantitative and subjective. Besides, when using the host range as a taxonomic criterion, it is important to realize that a rust fungus may have jumped to a new host species and that host range may also be affected by the variability and age of the host plant, and inoculation conditions. The present study was initiated to assess the taxonomic value of the germling morphology of the urediniospores of grass rust fungi.

The germling morphology of grass rust fungi was observed after inoculation on the barley line L94. Since the rate of development and the morphology of the germlings was similar in host and non-host plants until formation of the first haustorium, rust fungi collected from barleys were studied at about 20 h after inoculation and from other grasses at about 40 h.

Germling morphology was proven to be a reliable and useful criterion for identification and classification of grass rust fungi. It enabled an easy discrimination of species complexes that are very similar in traditionally used morphological characters, e.g. Puccinia hordei and P.recondita. Species complexes which are distinct on the basis of these traditionally used morphological characters were also distinct in germling morphology, viz. Puccinia coronata, P. graminis and P.brachypodii. Besides, germling morphology differed greatly between taxa subsumed under the P. recondita and P. brachypodii complexes. In other taxa the differences were mostly quantitative.

The differences and similarities in germling morphology observed within and between species complexes were in general correlated with differences in isozyme banding patterns, nuclear DNA contents, and literature data on several other molecular, biochemical, and hybridization experiments.

The results from the studies on germling morphology and isozyme banding patterns suggest to treat the species included in the P. brachypodii and P. recondita complexes as separate species, to recognize varieties within P. coronata and P.striiformis (including the newly described var. poae), to unite P.hordei and Uromyces rusts from barleys in one species, and not to assign any taxonomic rank yet to taxa subsumed under P.graminis.

Variation in isozyme patterns with leaf rust fungi (Puccinia recondita s.l.).
Swertz, Ch.A. - \ 1993
In: PhD summerschool Molecular diversity in pest and disease organism - p. 35 - 35.
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