Author

Sipko van Dam

University Medical Center GroningenORCID 0000-0001-9204-0197Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Lude FrankeiD· 2 shared Patrick DeeleniD· 2 shared Birgit Sikkema‐RaddatziD· 1 shared Chia‐Yen CheniD· 1 shared Cleo C. van DiemeniD· 1 shared Conny M.A. van Ravenswaaij‐ArtsiD· 1 shared Denis A. BairdiD· 1 shared Edgar T. HoorntjeiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Lude FrankeORCID

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2 papers

Recent·Most cited

GenomicsNature GeneticsPeer-reviewedFeb 23, 2023

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

Niek de Klein, Ellen A. Tsai, Martijn Vochteloo…·Harm-Jan Westra

The paper integrates brain RNA-seq and genotype data to identify eQTLs and their downstream effects on brain-related diseases.

272 citationstop 1%

humanbulk RNA-seq

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GeneticsNature CommunicationsPeer-reviewedJun 28, 2019

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

Patrick Deelen, Sipko van Dam, Johanna C. Herkert…·Lude Franke

This paper introduces GADO, a tool that uses gene expression data to predict gene-phenotype associations and improve diagnostic yield in exome sequencing by prioritizing variants in patients with unknown genetic diagnoses.

138 citationstop 1%

humanwhole-exome sequencing

𝕏 PostBluesky