Synopsis of the PhD-course to be arranged January 26 2018 in Spa Hotelli Levi, Finnish Lapland.
Nutrition Winter School (http://www.nutritionwinterschool.fi/) with focus of gut microbiota for the next course on 2018.
NuGO responsible organisers
University of Eastern Finland/contact: Marjukka Kolehmainen and University of Oslo/contact: Stine Ulven
To get insight of the concept of N-of-1 studies, challenges with designing the studies and data handling with special emphasis on impact of diet-gut microbiota interaction on human health. The idea is to arrange the modified second version of the NuGOweek precourse 2016: ‘Use of large scale data in human nutrition research from epidemiology to N-1-approaches’. The course will be arranged in combination with the approaches of Nutrition Winter School.
08.45-09.30 Differences between population-based approaches and N-of-1 studies: principles of study design and analysis AND N-1-approach: what to take into account in planning, conducting
and analyzing, including continuous measurements (glucose, ABP etc). Will it indeed change the way we perform dietary intervention studies (lecture and discussion)/Jim Kaput,
Habit, USA (to be confirmed)
09.30-10.15 Applications of methods producing large scale data in human dietary interventions and N-1-approaches such as metabolomics, epigenomics and metagenomics, dietary assessment
(including DBS biomarkers) /John Mathers, Newcastle University, United Kingdom (confirmed)
10.30-11.15 Gut microbiota in human nutrition: How and why to affect the diversity and species?/Hani El-Nezami , UEF, Finland (to be confirmed)
11.15-12.00 Gut Microbiome and Personal glycemic Responses-design, data analysis and methodological challenges (lecture/discussion) /Nastya Godneva, Weizmann Institute of Science, Israel
12.45-13.30 Dried blood spot biomarker analysis of fatty acids in population screening and N-of-1 studies-possibilities and methodological challenges, including practical demonstration/Thomas
Gundersen ,VITAS, Norway (confirmed)
13.30-16.30 Introduction to data-analysis of large data sets + Data handling practicals /Chris Evelo, Maastricht University, The Netherlands (confirmed)