Author

Michiel Bongaerts

Erasmus MCORCID 0000-0003-0984-267XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:metabolomics· 2 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

George J. G. RuijteriD· 2 shared Henk J. BlomiD· 2 shared Hidde H. HuidekoperiD· 2 shared Marcel J. T. ReindersiD· 2 shared Martina WilkeiD· 2 shared Ramon Bonte· 2 shared Serwet DemirdasiD· 2 shared Walter G. de Valk· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

George J. G. RuijterORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 5, 2022

RNA-sequencing improves diagnosis for neurodevelopmental disorders by identifying pathogenic non-coding variants and reinterpretation of coding variants

Jordy Dekker, Rachel Schot, Michiel Bongaerts…·Tjakko J. van Ham

This study uses RNA-seq to improve diagnosis of neurodevelopmental disorders by identifying non-coding variants and reinterpreting coding variants, increasing diagnostic yield by 12%.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicineMolecular Genetics and MetabolismPeer-reviewedMay 25, 2022

Prioritizing disease-causing metabolic genes by integrating metabolomics with whole exome sequencing data

Michiel Bongaerts, Ramon Bonte, Serwet Demirdas…·George J. G. Ruijter

This paper introduces Reafect, a computational method that integrates metabolomics and whole exome sequencing to prioritize disease-causing genes in inborn errors of metabolism, showing improved accuracy in identifying causative variants.

12 citations

humanwhole-exome sequencing

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BioinformaticsMetabolitesPeer-reviewedDec 25, 2020

Screening for inborn errors of metabolism using untargeted metabolomics and out-of-batch controls

Michiel Bongaerts, Ramon Bonte, Serwet Demirdas…·George J. G. Ruijter

The paper develops a normalization method for untargeted metabolomics data to reduce batch effects and improve detection of metabolic biomarkers using out-of-batch controls.

17 citations

humanmetabolomics

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