A.J. (Annique) Claringbould

A.J. (Annique) Claringbould
E-mail:
a.j.claringbould umcg.nl

Research

  1. 2021
  2. 2020
  3. Folkersen, L., Gustafsson, S., Wang, Q., Hansen, D. H., Hedman, Å. K., Schork, A., Page, K., Zhernakova, D. V., Wu, Y., Peters, J., Eriksson, N., Bergen, S. E., Boutin, T. S., Bretherick, A. D., Enroth, S., Kalnapenkis, A., Gådin, J. R., Suur, B. E., Chen, Y., ... Mälarstig, A. (2020). Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals. Nature Metabolism, 2(10), 1135-1148. https://doi.org/10.1038/s42255-020-00287-2
  4. BIOS Consortium, Ouwens, K. G., Jansen, R., Nivard, M. G., van Dongen, J., Frieser, M. J., Hottenga, J-J., Arindrarto, W., Claringbould, A., van Iterson, M., Mei, H., & Franke, L. (2020). A characterization of cis- and trans-heritability of RNA-Seq-based gene expression. European Journal of Human Genetics, 28(2), 253-263. https://doi.org/10.1038/s41431-019-0511-5
  5. 2019
  6. BIOS Consortium, van Rooij, J., Mandaviya, P. R., Claringbould, A., Felix, J. F., van Dongen, J., Jansen, R., Franke, L., 't Hoen, P. A. C., Heijmans, B., & van Meurs, J. B. J. (2019). Evaluation of commonly used analysis strategies for epigenome- and transcriptome-wide association studies through replication of large-scale population studies. Genome Biology, 20(1), [235]. https://doi.org/10.1186/s13059-019-1878-x
  7. BIOS Consortium, Early Growth Genetics EGG Conso, Alves, A. C., De Silva, N. M. G., Karhunen, V., Sovio, U., Das, S., Taal, H. R., Warrington, N. M., Lewin, A. M., Kaakinen, M., Cousminer, D. L., Thiering, E., Timpson, N. J., Bond, T. A., Lowry, E., Brown, C. D., Estivill, X., Lindi, V., ... Heinrich, J. (2019). GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI. Science Advances, 5(9), [3095]. https://doi.org/10.1126/sciadv.aaw3095
  8. Zeng, B., Lloyd-Jones, L. R., Montgomery, G. W., Metspalu, A., Esko, T., Franke, L., Vosa, U., Claringbould, A., Brigham, K. L., Quyyumi, A. A., Idaghdour, Y., Yang, J., Visscher, P. M., Powell, J. E., & Gibson, G. (2019). Comprehensive Multiple eQTL Detection and Its Application to GWAS Interpretation. Genetics, 212(3), 905-918. https://doi.org/10.1534/genetics.119.302091
  9. BIOS Consortium, KORA Study Grp, Schlicht, K., Nyczka, P., Caliebe, A., Freitag-Wolf, S., Claringbould, A., Franke, L., Vosa, U., Kardia, S. L. R., Smith, J. A., Zhao, W., Gieger, C., Peters, A., Prokisch, H., Strauch, K., Baurecht, H., Weidinger, S., Rosenstiel, P., ... Krawczak, M. (2019). The metabolic network coherence of human transcriptomes is associated with genetic variation at the cadherin 18 locus. HUMAN GENETICS, 138(4), 375-388. https://doi.org/10.1007/s00439-019-01994-x
  10. eQTLgen Consortium, Timmers, P. R., Mounier, N., Lall, K., Fischer, K., Ning, Z., Feng, X., Bretherick, A. D., & Clark, D. W. (2019). Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife, 8, [39856]. https://doi.org/10.7554/eLife.39856
  11. 2018
  12. BIOS Consortium, Luijk, R., Dekkers, K. F., van Iterson, M., Arindrarto, W., Claringbould, A., Hop, P., Boomsma, D., van Duijn, C. M., van Greevenbroek, M. M. J., Veldink, J. H., Wijmenga, C., Franke, L., 't Hoend, P. A. C., Jansen, R., van Meurs, J., Mei, H., Slagboomi, P. E., Heijmans, B. T., & van Zwet, E. W. (2018). Genome-wide identification of directed gene networks using large-scale population genomics data. Nature Communications, 9(1), 3097. [3097]. https://doi.org/10.1038/s41467-018-05452-6
  13. 2017
  14. Kaakinen, M., Magi, R., Lagou, V., Claringbould, A., Gaulton, K., Fischer, K., Morris, A., Prokopenko, I., BIOS Consortium, & ENGAGE Consortium (2017). Multi-Phenotype Genome-Wide Meta-Analysis of Lipid Levels and BMI in 64,736 Europeans Suggests Shared Genetic Architecture. Genetic epidemiology, 41(7), 652-653.
  15. Lepamets, M., Lepik, K., Kals, M., Carmeli, C., Claringbould, A., Bochud, M., Stringhini, S., Wijmenga, C., Franke, L., Magi, R., & Kutalik, Z. (2017). New Quality Measure for CNV: A Multi-Omics Approach. Human heredity, 83(1), 16-16.
  16. 2016
  17. Kaakinen, M., Claringbould, A., Hagenbeek, F., Magi, R., Ala-Korpela, M., Jarvelin, M-R., Prokopenko, I., & BIOS Consortium (2016). Genome-Wide Multiphenotype and eQTL Analyses Provide Novel Insights into Omega Fatty Acid Metabolism and Type 2 Diabetes. Diabetes, 65, A52-A52.

ID: 24052386