Joint data analysis in nutritional epidemiology
暂无分享,去创建一个
U. Nöthlings | T. Pischon | A. Robino | P. Gasparini | H. Schulz | H. Boeing | C. Lachat | J. Walton | J. Bouwman | L. Dragsted | M. Pinart | G. Rojo-Martínez | L. Castaño | C. Matthys | J. Tafforeau | M. Standl | N. Cock | S. Jeran | G. Perozzi | J. Merino | L. Masana | E. Biagi | M. Gobbetti | T. Heuer | M. Guillaume | J. Linseisen | K. Nimptsch | Rosario Lombardo | M. Stelmach-Mardas | Chen Yang | R. Canali | M. D'Archivio | A. Donneau | C. Kleiser | E. Laird | E. Nurk | E. Windler | B. Zyriax | M. Angelis | J. Barbaresko | N. D. Cock | Stephanie Jeran | M. D’Archivio
[1] Antoon Bronselaer,et al. Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research , 2017, Advances in nutrition.
[2] A. Gils,et al. Micronutrient intake, from diet and supplements, and association with status markers in pre- and post-RYGB patients. , 2017, Clinical nutrition.
[3] E. Nurk,et al. National Dietary Survey among 11‐74 years old individuals in Estonia , 2017 .
[4] E. Nurk,et al. National Dietary Survey among children up to ten years old and breastfeeding mothers in Estonia , 2017 .
[5] Uwe Scholz,et al. Measures for interoperability of phenotypic data: minimum information requirements and formatting , 2016, Plant Methods.
[6] O. Melander,et al. Advances in Integrating Traditional and Omic Biomarkers When Analyzing the Effects of the Mediterranean Diet Intervention in Cardiovascular Prevention , 2016, International journal of molecular sciences.
[7] E. Forsum,et al. Strengthening the Reporting of Observational Studies in Epidemiology – nutritional epidemiology (STROBE‐nut): An extension of the STROBE statement , 2016, Nutrition bulletin.
[8] G. Silecchia,et al. Visceral fat adipocytes from obese and colorectal cancer subjects exhibit distinct secretory and ω6 polyunsaturated fatty acid profiles and deliver immunosuppressive signals to innate immunity cells , 2016, Oncotarget.
[9] Petr Holub,et al. Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core). , 2016, Biopreservation and biobanking.
[10] P. Burton,et al. International Data Sharing in Practice: New Technologies Meet Old Governance. , 2016, Biopreservation and biobanking.
[11] J. Tafforeau,et al. Protocol of the Belgian food consumption survey 2014: objectives, design and methods , 2016, Archives of Public Health.
[12] Erik Schultes,et al. The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.
[13] E. Gibney,et al. An overview of the contribution of dairy and cheese intakes to nutrient intakes in the Irish diet: results from the National Adult Nutrition Survey. , 2016, The British journal of nutrition.
[14] Natasha A Karp,et al. Recommendations for minimum information for publication of experimental pathology data: MINPEPA guidelines , 2015, The Journal of pathology.
[15] S. Turroni,et al. High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome , 2015, Gut.
[16] E. Thiering,et al. Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study , 2015, BMC Public Health.
[17] S. Turroni,et al. Fecal Microbiota in Healthy Subjects Following Omnivore, Vegetarian and Vegan Diets: Culturable Populations and rRNA DGGE Profiling , 2015, PloS one.
[18] C. Matthys,et al. Barriers in the Approach of Obese Patients Undergoing Bariatric Surgery in Flemish Hospitals , 2015, Obesity Surgery.
[19] C. Brombach,et al. Food consumption of adults in Germany: results of the German National Nutrition Survey II based on diet history interviews , 2015, The British journal of nutrition.
[20] Alejandra N. González-Beltrán,et al. linkedISA: semantic representation of ISA-Tab experimental metadata , 2014, BMC Bioinformatics.
[21] V. Colonna,et al. Genetic landscape of populations along the Silk Road: admixture and migration patterns , 2014, BMC Genetics.
[22] C. Gutiérrez‐Repiso,et al. Variable patterns of obesity and cardiometabolic phenotypes and their association with lifestyle factors in the Di@bet.es study. , 2014, Nutrition, metabolism, and cardiovascular diseases : NMCD.
[23] P. Gasparini,et al. Insight into genetic determinants of resting heart rate. , 2014, Gene.
[24] German National Cohort Consortium,et al. The German National Cohort: aims, study design and organization , 2014, European Journal of Epidemiology.
[25] Erdmann Rapp,et al. MIRAGE: The minimum information required for a glycomics experiment , 2014, Glycobiology.
[26] P. Brigidi,et al. Combating inflammaging through a Mediterranean whole diet approach: The NU-AGE project's conceptual framework and design , 2014, Mechanisms of Ageing and Development.
[27] H. McNulty,et al. Vitamin D deficiency is associated with inflammation in older Irish adults. , 2014, The Journal of clinical endocrinology and metabolism.
[28] Markus Perola,et al. Data harmonization and federated analysis of population-based studies: the BioSHaRE project , 2013, Emerging Themes in Epidemiology.
[29] S. Demarest,et al. Methodological basics and evolution of the Belgian health interview survey 1997–2008 , 2013, Archives of Public Health.
[30] J. Langridge,et al. An Emerging Role for Metabolomics in Nutrition Science , 2013, Lifestyle Genomics.
[31] Gracelyn Cruden,et al. Advancing Science Through Collaborative Data Sharing and Synthesis , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.
[32] C. Matthys,et al. EURRECA—Framework for Aligning Micronutrient Recommendations , 2013, Critical reviews in food science and nutrition.
[33] G. Aragonès,et al. Negative effect of a low-carbohydrate, high-protein, high-fat diet on small peripheral artery reactivity in patients with increased cardiovascular risk , 2012, British Journal of Nutrition.
[34] M. Kersting,et al. [The DONALD cohort. An updated overview on 25 years of research based on the Dortmund Nutritional and Anthropometric Longitudinally Designed study]. , 2012, Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz.
[35] Anne E. Trefethen,et al. Toward interoperable bioscience data , 2012, Nature Genetics.
[36] J. Heinrich,et al. Effect of fatty acid status in cord blood serum on children's behavioral difficulties at 10 y of age: results from the LISAplus Study. , 2011, The American journal of clinical nutrition.
[37] C. Tenopir,et al. Data Sharing by Scientists: Practices and Perceptions , 2011, PloS one.
[38] S. Bione,et al. Association of a variant in the CHRNA5-A3-B4 gene cluster region to heavy smoking in the Italian population , 2011, European Journal of Human Genetics.
[39] A. Alkerwi,et al. Nutrition, environment and cardiovascular health (NESCAV): protocol of an inter-regional cross-sectional study , 2010, BMC public health.
[40] Hans Hillege,et al. Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies , 2010, International journal of epidemiology.
[41] A. Travis,et al. Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies , 2010, Genes & Nutrition.
[42] F. Soriguer,et al. Intake and home use of olive oil or mixed oils in relation to healthy lifestyles in a Mediterranean population. Findings from the prospective Pizarra study , 2009, British Journal of Nutrition.
[43] Philippe Rocca-Serra,et al. Owner controlled data exchange in nutrigenomic collaborations: the NuGO information network , 2009, Genes & Nutrition.
[44] Susan L. Coort,et al. The NuGO proof of principle study package: a collaborative research effort of the European Nutrigenomics Organisation , 2008, Genes & Nutrition.
[45] Nigel W. Hardy,et al. Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project , 2008, Nature Biotechnology.
[46] Andrew R Jones,et al. A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group. , 2006, Omics : a journal of integrative biology.
[47] D E Bauman,et al. The nutritional phenotype in the age of metabolomics. , 2005, The Journal of nutrition.
[48] K. Gedrich,et al. Estimated physical activity in Bavaria, Germany, and its implications for obesity risk: Results from the BVS-II Study , 2005, The international journal of behavioral nutrition and physical activity.
[49] M. Bakker. Joint Programming Initiative A HEALTHY DIET FOR A HEALTHY LIFE DRAFT Strategic Research Agenda 2011-2020 and beyond , 2010 .