prof. dr. L.H. (Lude) Franke

Full Professor Functional Genomics

prof. dr. L.H. (Lude) Franke
E-mail:
l.h.franke umcg.nl

Research

  1. 2019
  2. Clark, D. W., Okada, Y., Moore, K. H. S., Mason, D., Pirastu, N., Gandin, I., ... Wilson, J. F. (2019). Associations of autozygosity with a broad range of human phenotypes. Nature Communications, 10(1), [4957]. https://doi.org/10.1038/s41467-019-12283-6, https://doi.org/10.1038/s41467-019-12283-6
  3. BIOS Consortium, van Dongen, J., Zilhao, N. R., Sugden, K., Hannon, E. J., Mill, J., ... Boomsma, D. (2019). Epigenome-wide Association Study of Attention-Deficit/Hyperactivity Disorder Symptoms in Adults. Biological Psychiatry, 86(8), 599-607. https://doi.org/10.1016/j.biopsych.2019.02.016
  4. Zeng, B., Lloyd-Jones, L. R., Montgomery, G. W., Metspalu, A., Esko, T., Franke, L., ... 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
  5. van Arensbergen, J., Pagie, L., FitzPatrick, V. D., de Haas, M., Baltissen, M. P., Comoglio, F., ... van Steensel, B. (2019). High-throughput identification of human SNPs affecting regulatory element activity. Nature Genetics, 51(7), 1160-+. https://doi.org/10.1038/s41588-019-0455-2
  6. GoNL Consortium, BIOS Consortium, Jadhav, B., Monajemi, R., Gagalova, K. K., Ho, D., ... Kielbasa, S. M. (2019). RNA-Seq in 296 phased trios provides a high-resolution map of genomic imprinting. BMC Biology, 17, [50]. https://doi.org/10.1186/s12915-019-0674-0
  7. CommonMind Consortium, Psychiat Genomics Consortium, iPSYCH-GEMS Schizophrenia Working, Huckins, L. M., Dobbyn, A., Ruderfer, D. M., ... Stahl, E. A. (2019). Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature Genetics, 51(4), 659-674. https://doi.org/10.1038/s41588-019-0364-4
  8. BIOS Consortium, KORA Study Grp, Schlicht, K., Nyczka, P., Caliebe, A., Freitag-Wolf, S., ... 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
  9. eQTLgen Consortium, Timmers, P. R., Mounier, N., Lall, K., Fischer, K., Ning, Z., ... 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
  10. 2018
  11. BIOS Consortium, Luijk, R., Wu, H., Ward-Caviness, C. K., Hannon, E., Carnero-Montoro, E., ... Heijmans, B. T. (2018). Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation. Nature Communications, 9(1), 3738. [3738]. https://doi.org/10.1038/s41467-018-05714-3
  12. BIOS Consortium, Luijk, R., Dekkers, K. F., van Iterson, M., Arindrarto, W., Claringbould, A., ... 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. Pirastu, N., Joshi, P. K., de Vries, P. S., Cornelis, M. C., McKeigue, P. M., Keum, N., ... Wilson, J. F. (2018). Author Correction: GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk. Nature Communications, 9(1), 2536. https://doi.org/10.1038/s41467-018-04857-7
  14. Pirastu, N., Joshi, P. K., de Vries, P. S., Cornelis, M. C., Keum, N., Franceschini, N., ... Wilson, J. F. (2018). Reply to 'Misestimation of heritability and prediction accuracy of male-pattern baldness'. Nature Communications, 9(1), 2538. [2538]. https://doi.org/10.1038/s41467-018-04808-2
  15. Scholz, R. W., Bartelsman, E. J., Diefenbach, S., Franke, L., Grunwald, A., Helbing, D., ... Pereira, G. V. (2018). Unintended Side Effects of the Digital Transition: European Scientists' Messages from a Proposition-Based Expert Round Table. Sustainability, 10(6), [2001]. https://doi.org/10.3390/su10062001
  16. 2017
  17. Linner, R. K., Marioni, R. E., Rietveld, C. A., Simpkin, A. J., Davies, N. M., Watanabe, K., ... BIOS Consortium (2017). An epigenome-wide association study meta-analysis of educational attainment. Molecular Psychiatry, 22(12), 1680-1690. https://doi.org/10.1038/mp.2017.210
  18. Pirastu, N., Joshi, P. K., de Vries, P. S., Cornelis, M. C., McKeigue, P. M., Keum, N., ... Wilson, J. F. (2017). GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk. Nature Communications, 8, [1584]. https://doi.org/10.1038/s41467-017-01490-8
  19. Nibbeling, E. A. R., Duarri, A., Verschuuren-Bemelmans, C. C., Fokkens, M. R., Karjalainen, J. M., Smeets, C. J. L. M., ... Verbeek, D. S. (2017). Exome sequencing and network analysis identifies shared mechanisms underlying spinocerebellar ataxia. Brain, 140(11), 2860-2878. https://doi.org/10.1093/brain/awx251
  20. van Dongen, J., Suderman, M., Sugden, K., Ismail, K., Mulder, R. H., Kupper, L. K., ... BIOS Consortium (2017). Epigenome-wide association study meta-analysis of aggressive behavior. Behavior Genetics, 47(6), 662-663.
  21. Mandaviya, P. R., Joehanes, R., Aissi, D., Kuehnel, B., Marioni, R. E., Truong, V., ... Charge Consortium Epigenetics Grp (2017). Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes. PLoS ONE, 12(10), [e0182472]. https://doi.org/10.1371/journal.pone.0182472
  22. Kreiner, E., Waage, J., Standl, M., Brix, S., Pers, T. H., Couto Alves, A., ... Bønnelykke, K. (2017). Shared genetic variants suggest common pathways in allergy and autoimmune diseases. Journal of Allergy and Clinical Immunology, 140(3), 771-781. https://doi.org/10.1016/j.jaci.2016.10.055
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