J.J. (Jeanine) Houwing-Duistermaat

J.J. (Jeanine) Houwing-Duistermaat

Associate Professor
  • Department of Biostatistics and Research Support
  • Julius Center Research Program Methodology



Jeanine Houwing-Duistermaat obtained a PhD from Leiden University. She was awarded a VIDI grant on development of statistical methods for the analyses of family data. In 2010 she became full professor at Leiden University. Since 2015 she is appointed as chair in data analytics and statistics at the school of mathematics, University of Leeds. Since 2018 she also has a position at the Julius Center, UMCU.

Jeanine's interest is in development of novel methods for complex datasets such as family, omics and temporal datasets. She publishes in high impact applied and in methodological journals. She was co-editor of Biometrics, which is the journal of the International Biometric Society. She was president of the Dutch region of this Society (ANED). She coordinated the FP7 funded MIMOmics consortia and currently coordinates the ITN IMforFUTURE in which both UMCU and the University of Leeds are involved.

Research Output (40)

Integration of high-dimensional omics data using sparse orthogonal 2-way partial least squares

Gu Zhujie, el Bouhaddani Said, Harakalova Magdalena, Houwing-Duistermaat Jeanine J., Uh Hae-Won jul 2020, In: Genetic Epidemiology. 44 , p. 522-522

Statistical integration of methylation, transcriptome and proteome data in cell lines

Houwing-Duistermaat Jeanine J., el Bouhaddani Said, Uh Hae Won jul 2020, In: Genetic Epidemiology. 44 , p. 489-489

Choosing proper normalization is essential for discovery of sparse glycan biomarkers

Uh Hae-Won, Klarić Lucija, Ugrina Ivo, Lauc Gordan, Smilde Age K, Houwing-Duistermaat Jeanine J 25 mrt 2020, In: Molecular omics. 16 , p. 231-242 12 p.

An alternative approach to establishing unbiased colorectal cancer risk estimation in Lynch syndrome

Suerink Manon, Rodríguez-Girondo Mar, van der Klift Heleen M., Colas Chrystelle, Brugieres Laurence, Lavoine Noémie, Jongmans Marjolijn, Munar Gabriel Capellá, Evans D. Gareth, Farrell Michael P., Genuardi Maurizio, Goldberg Yael, Gomez-Garcia Encarna, Heinimann Karl, Hoell Jessica I., Aretz Stefan, Jasperson Kory W., Kedar Inbal, Modi Mitul B., Nikolaev Sergey, van Os Theo A.M., Ripperger Tim, Rueda Daniel, Senter Leigha, Sjursen Wenche, Sunde Lone, Therkildsen Christina, Tibiletti Maria G., Trainer Alison H., Vos Yvonne J., Wagner Anja, Winship Ingrid, Wimmer Katharina, Zimmermann Stefanie Y., Vasen Hans F., van Asperen Christi J., Houwing-Duistermaat Jeanine J., ten Broeke Sanne W., Nielsen Maartje dec 2019, In: Genetics in Medicine. 21 , p. 2706-2712 7 p.

The Effect of Gut Microbiome Composition on Human Immune Responses:An Exploration of Interference by Helminth Infections

Martin Ivonne, Kaisar Maria M.M., Wiria Aprilianto E., Hamid Firdaus, Djuardi Yenny, Sartono Erliyani, Rosa Bruce A., Mitreva Makedonka, Supali Taniawati, Houwing-Duistermaat Jeanine J., Yazdanbakhsh Maria, Wammes Linda J. 6 nov 2019, In: Frontiers in Genetics. 10 10 p.

The mixed model for the analysis of a repeated-measurement multivariate count data

Martin Ivonne, Uh Hae-Won, Supali Taniawati, Mitreva Makedonka, Houwing-Duistermaat Jeanine J. 30 mei 2019, In: Statistics in Medicine. 38 , p. 2248-2268 21 p.

Powerful testing via hierarchical linkage disequilibrium in haplotype association studies

Balliu Brunilda, Houwing-Duistermaat Jeanine J., Böhringer Stefan 1 mei 2019, In: Biometrical Journal. 61 , p. 747-768 22 p.

Estimating Constraints for Protection Factors from HDX-MS Data

Skinner Simon P., Radou Gael, Tuma Roman, Houwing-Duistermaat Jeanine J., Paci Emanuele 2 apr 2019, In: Biophysical Journal. 116 , p. 1194-1203 10 p.

Genomic prediction for numerically small breeds, using models with pre-selected and differentially weighted markers 06 Biological Sciences 0604 Genetics

Raymond Biaty, Bouwman Aniek C., Wientjes Yvonne C.J., Schrooten Chris, Houwing-Duistermaat Jeanine, Veerkamp Roel F. 10 okt 2018, In: Genetics Selection Evolution. 50

Subcortical brain volumes, cortical thickness and cortical surface area in families genetically enriched for social anxiety disorder – A multiplex multigenerational neuroimaging study

Bas-Hoogendam Janna Marie, van Steenbergen Henk, Tissier Renaud L.M., Houwing-Duistermaat Jeanine J., Westenberg P. Michiel, van der Wee Nic J.A. 1 okt 2018, In: EBioMedicine. 36 , p. 410-428 19 p.

All research output

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