Publikationen
1. Moorlag SJ, Matzaraki V, van Puffelen JH, van der Heijden C, Keating S, Groh L, Röring RJ, Bakker OB, Koeken VA, de Bree LCJ (2021) An integrative genomics approach identifies KDM4 as a modulator of trained immunity. European journal of immunology
2. Zhang Z, Trypsteen W, Blaauw M, Chu X, Rutsaert S, Vandekerckhove L, van der Heijden W, Dos Santos JC, Xu C-J, Swertz MA (2021) IRF7 and RNH1 are modifying factors of HIV-1 reservoirs: a genome-wide association analysis. BMC medicine 19(1): 1-17.
3. Chu X, Jaeger M, Beumer J, Bakker OB, Aguirre-Gamboa R, Oosting M, Smeekens SP, Moorlag S, Mourits VP, Koeken VA (2021) Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease. Genome biology 22(1): 1-22.
4. Domínguez-Andrés J, Kuijpers Y, Bakker OB, Jaeger M, Xu C-J, Van der Meer JW, Jakobsson M, Bertranpetit J, Joosten LA, Li Y (2021) Evolution of cytokine production capacity in ancient and modern European populations. Elife 10: e64971.
5. Koeken VA, van Crevel R, Netea MG, Li Y (2021) Resolving trained immunity with systems biology. European Journal of Immunology 51(4): 773-784.
6. Chu X, Zhang B, Koeken VA, Gupta MK, Li Y (2021) Multi-Omics Approaches in Immunological Research. Frontiers in immunology 12
7. Li G, Zhang B, Hao J, Chu X, Wiestler M, Cornberg M, Xu C-J, Liu X, Li Y (2021) Identification of Novel Population-Specific Cell Subsets in Chinese Ulcerative Colitis Patients Using Single-Cell RNA Sequencing. Cellular and molecular gastroenterology and hepatology 12(1): 99-117.
8. Netea MG, Li Y (2021) Immune memory in individuals with COVID-19. Nature Cell Biology 23(6): 582-584.
9. Schulte-Schrepping J, Reusch N, Paclik D, Baßler K, Schlickeiser S, Zhang B, Krämer B, Krammer T, Brumhard S, Bonaguro L (2020) Severe COVID-19 is marked by a dysregulated myeloid cell compartment. Cell 182(6): 1419-1440. e1423.
10. Aguirre-Gamboa R, de Klein N, di Tommaso J, Claringbould A, van der Wijst MG, de Vries D, Brugge H, Oelen R, Võsa U, Zorro MM (2020) Deconvolution of bulk blood eQTL effects into immune cell subpopulations. BMC bioinformatics 21(1): 1-23.
11. van der Graaf A, Claringbould A, Rimbert A, Westra H-J, Li Y, Wijmenga C, Sanna S (2020) Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids. Nature communications 11(1): 1-12.