Deelen, Patrick

Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,607

Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,607

Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity

Zhernakova, A., Kurilshikov, A., Bonder, M. J., Tigchelaar, E. F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A. V., Falony, G., Vieira-Silva, S., et al. (2016) · Science

Gut microbiota and healthOral microbiology and periodontitis research

Cited by 1,914

The effect of host genetics on the gut microbiome

Bonder, M. J., Kurilshikov, A., Tigchelaar, E. F., Mujagic, Z., Imhann, F., Vila, A. V., Deelen, P., Vatanen, T., Schirmer, M., Smeekens, S. P., et al. (2016) · Nature Genetics

Gut microbiota and healthGenetic Associations and Epidemiology

Cited by 819

Effect of host genetics on the gut microbiome in 7,738 participants of the Dutch Microbiome Project

Lopera-Maya, E. A., Kurilshikov, A., van der Graaf, A., Hu, S., Andreu-Sánchez, S., Chen, L., Vila, A. V., Gacesa, R., Sinha, T., Collij, V., et al. (2022) · Nature Genetics

Gut microbiota and healthGenetic Associations and Epidemiology

Cited by 553

Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H.-J., Bakker, O. B., Deelen, P., et al. (2021) · Nature Genetics

Amyotrophic Lateral Sclerosis ResearchGenetic Associations and Epidemiology

Cited by 542

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 427

Identification of context-dependent expression quantitative trait loci in whole blood

Zhernakova, D. V., Deelen, P., Vermaat, M., van Iterson, M., van Galen, M., Arindrarto, W., van 't Hof, P., Mei, H., van Dijk, F., Westra, H.-J., et al. (2017) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 416

Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs

Study, L. C., van der Wijst, M. G. P., BIOS Consortium, Brugge, H., de Vries, D. H., Deelen, P., Swertz, M. A., & Franke, L. (2018) · Nature Genetics

Genetic Associations and EpidemiologySingle-cell and spatial transcriptomics

Cited by 399

A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans

Li, Y., Oosting, M., Smeekens, S. P., Jaeger, M., Aguirre-Gamboa, R., Le, K. T. T., Deelen, P., Ricaño-Ponce, I., Schoffelen, T., Jansen, A. F. M., et al. (2016) · Cell

Genetic Associations and EpidemiologyImmune Response and Inflammation

Cited by 324

Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases

de Klein, N., Tsai, E. A., Vochteloo, M., Baird, D., Huang, Y., Chen, C.-Y., van Dam, S., Oelen, R., Deelen, P., Bakker, O. B., et al. (2023) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 272

Improving the diagnostic yield of exome- sequencing by predicting gene–phenotype associations using large-scale gene expression analysis

Deelen, P., van Dam, S., Herkert, J. C., Karjalainen, J. M., Brugge, H., Abbott, K. M., van Diemen, C. C., van der Zwaag, P. A., Gerkes, E. H., Zonneveld-Huijssoon, E., et al. (2019) · Nature Communications

Genomics and Rare DiseasesBioinformatics and Genomic Networks

Cited by 138