Fu Group – Integrative genomics
Dr Jingyuan Fu: “My group covers a wide range of disciplines, including genetics, genomics, systems biology and bioinformatics. I believe that “genetics” lies at the heart of biology and I see myself as a geneticist and bioinformatician who studies the effect of genetic variants in the wider scope of systems biology: from genotype to cellular functions and phenotype. Under this thematic banner, we are currently working on three specific themes:
Theme 1: The genetic and epigenetic variation of gene expression
How do genetic and epigenetic factors affect gene expression? To what extent is the regulation of expression tissue-specific? How relevant is the genetic variation of gene expression in complex diseases?
Theme 2: From genetic risk to disease etiology
What are the downstream effects of genetic variants discovered in genome-wide association studies? I use genetics and genomics approaches to illustrate the networks that underlie the etiology of various diseases.
Theme 3: Healthy ageing and study of the impact of genetic background and lifestyle on healthy metabolism at an older age
The process of ageing is closely tied to the progressive metabolic remodeling that results in older people having a high risk for metabolic syndrome, type 2 diabetes, cardiovascular disease, atherosclerosis, neurodegenerative diseases, etc. This aging-dependent metabolic remodeling can be affected by genetic background and lifestyle. For this project, we are working with the Systems Biology Centre for Metabolism and Ageing (SBC-EMA, University of Groningen) and aim to address what role metabolism plays in healthy ageing and to what extent a healthy metabolism is under genetic control. These projects involve national and international collaborations with UMCG departments and other research centers and foundations.
- 2016 Young Investigator award (€183k) from the Dutch Heart Foundation (CVON), co-PI with Sasha Zhernakova
- The Fu et al. (2015) paper, “Gut Microbiome Contributes to a Substantial Proportion of the Variation in Blood Lipids” was recognized as one of Circulation Research’s Best Manuscripts of 2015. The paper received massive worldwide press coverage. See News item
- 2015 NWO Aspasia grant (€100k)
Jingyuan Fu was awarded an NWO-VIDI grant awarded (2014) for her proposal “Understanding the causal relationships between the host genome, microbiota and lipids”
- See also an article on her work (Op zoek naar onbekende verbanden en patronen, in Dutch, 2014)
- Gut microbiome and lipid metabolism: from associations to mechanisms. Z Wang, D Koonen, M Hofker, J Fu. Current opinion in lipidology 2016;27 (3), 216-224
- Proton pump inhibitors affect the gut microbiome. F Imhann, MJ Bonder, AV Vila, J Fu, et al. Gut 2016;65 (5), 740-748
- Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
- A Zhernakova, et al. Science 2016;352 (6285), 565-569
- Population-level analysis of gut microbiome variation. G Falony et al. Science 2016;352 (6285), 560-564
- Gene-microbiome interactions underlying the onset and the clinical phenotypes of inflammatory bowel disease. F Imhann, AV Vila, MJ Bonder, D Gevers, J Fu, et al. Gastroenterology 2016;
- GWAS as a driver of gene discovery in cardiometabolic diseases. B Atanasovska, V Kumar, J Fu, C Wijmenga, MH Hofker. Trends in Endocrinology & Metabolism 2015;26 (12), 722-732
- The gut microbiome contributes to a substantial proportion of the variation in blood lipids. J Fu, et al. Circulation research 2015;117 (9), 817-824
- Gut microbiota composition associated with stool consistency. EF Tigchelaar, MJ Bonder, SA Jankipersadsing, J Fu, C Wijmenga et al. Gut, 2015, gutjnl-2015-310328
- Apple or Pear: Size and Shape Matter. J Fu, M Hofker, C Wijmenga. Cell metabolism 2015;21 (4), 507-508
- The immunity–diet–microbiota axis in the development of metabolic syndrome. E Brandsma, T Houben, J Fu, R Shiri-Sverdlov, MH Hofker. Current opinion in lipidology 2015;26 (2), 73-81
- Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels. P Deelen, et al. Genome medicine 2015;7 (1), 1
- Determining the association between adipokine expression in multiple tissues and phenotypic features of non-alcoholic fatty liver disease in obesity. MGM Wolfs, et al. Nutrition & diabetes 2015; 5 (2), e146
- The genome revolution and its role in understanding complex diseases. MH Hofker, J Fu, C Wijmenga. Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease 2014;1842 (10)
- Genetic and epigenetic regulation of gene expression in fetal and adult human livers. Bonder MJ, … Fu J, Hofker MH, Wijmenga C, Zhernakova A, Ingelman-Sundberg M, Franke L, Milani L. BMC Genomics. 2014
- Systems genetics: From GWAS to disease pathways. Van der Sijde MR, Ng A, Fu J. Biochim Biophys Acta. 2014
- Li, N., Fu, J. et al. (2014) Are hypertriglyceridemia and low HDL causal factors in the development of insulin resistance? Atherosclerosis, 2014;233:130–13
Novel mechanisms for prevention and treatment of type 2 diabetes, Naishi Li, PhD thesis, University of Groningen, Dec. 2013.
See all Jingyuan Fu’s papers in GoogleScholar