Contributors to the development of the package and workflow include:
Lucy Sinke, Tom Kuipers, Jazmin Taubert, Yunfeng Liu, Manhoor Sulaiman, Thomas Jonkman, Elmar W. Tobi, Roderick Slieker, Wouter den Hollander, Rene Luijk, Koen F. Dekkers, and Bas Heijmans (PI) from Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
Development of the workflow and generation of previously used example data in LLS was funded by BBMRI-NL, a research infrastructure financed by the Dutch government (NWO 184.021.007).
Lucy Sinke and Maarten van Iterson are the main authors of the package and associated workflow. Lucy Sinke is the current author and maintainer and should be contacted with any questions: l.j.sinke@lacdr.leidenuniv.nl
We are grateful to Paul Hop, Jenny van Dongen, and Helena Rasche for testing and improving the pipeline.
Please cite van *Sinke, L., van Iterson, M., Cats, D., BIOS Consortium, Kuipers, T. & Heijmans, B. (2019) ‘DNAmArray: Streamlined workflow for the quality control, normalization, and analysis of Illumina methylation array data’ http://doi.org/10.5281/zenodo.3355292* when using the DNAmArray package or workflow.
This web-site is generated with R Markdown on 20 July, 2025 using R-version and packages:
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4 Luijk, R., Wu, H., Ward-Caviness, C.K. et al. Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation. Nat Commun. 9, 3738 (2018).
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7 Dekkers, K.F., Slieker, R.C., Ioan-Facsinay, A. et al. Lipid-induced transcriptomic changes in blood link to lipid metabolism and allergic response. Nat Commun. 14, 544 (2023).
8 Lui, Y., Sinke, L., Jonkman, T.H., et al. The inactive X chromosome accumulates widespread epigenetic variability with age. Clin Epigenetics. 15, 135 (2023).
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