MOLGENIS VIP: an end-to-end DNA variant interpretation pipeline for research and diagnostics configurable to support rapid implementation of new methods

Achieving high yield in genetics research and genome diagnostics is a significant challenge because it requires a combination of multiple strategies and large-scale genomic analysis using the latest methods. Existing diagnostic software infrastructures are often unable to cope with high demands for versatility and scalability. We developed MOLGENIS VIP, a flexible, scalable, high-throughput, open-source, and "end-to-end" pipeline to process different types of sequencing data into portable, prioritized variant lists for immediate clinical interpretation in a wide variety of scenarios. VIP supports interpretation of short- and long-read sequencing data, using best-practice annotations and classification trees without complex IT infrastructures. VIP is developed within the long-living MOLGENIS open-source project to provide sustainability and has integrated feedback from a growing international community of users. VIP has undergone genome diagnostic laboratory testing and harnesses experiences from multiple Dutch, European, Canadian, and African diagnostic and infrastructural initiatives (VKGL, EU-Solve-RD, EJP-RD, CINECA, GA4GH). We provide a step-by-step protocol for installing and using VIP. We demonstrate VIP using 25 664 previously classified variants from the VKGL, and 18 and 41 diagnosed patients from a routine diagnostics and a Solve-RD research cohort, respectively. We believe that VIP accelerates causal variant detection and innovation in genome diagnostics and research.

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Publication Details

Journal
NAR Genomics and Bioinformatics
Published
2025-03-29
DOI
https://doi.org/10.1093/nargab/lqaf087
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.61

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article

MOLGENIS VIP: an end-to-end DNA variant interpretation pipeline for research and diagnostics configurable to support rapid implementation of new methods

Martine T. Meems-Veldhuis, Mariëlle van Gijn, Morris A. Swertz, Sander van den Hoek et al.
2 citations
NAR Genomics and Bioinformatics
Genomics and Phylogenetic Studies
1.61
article

MOLGENIS VIP: an end-to-end DNA variant interpretation pipeline for research and diagnostics configurable to support rapid implementation of new methods

Martine T. Meems-Veldhuis, Mariëlle van Gijn, Morris A. Swertz, Sander van den Hoek, W Maassen, Lennart Johansson, Mariska Slofstra, Cleo C. van Diemen, Dennis Hendriksen, Henny H. Lemmink, Robert Sietsma, René Mulder, Bart Charbon
article en
2 citations

Abstract

Achieving high yield in genetics research and genome diagnostics is a significant challenge because it requires a combination of multiple strategies and large-scale genomic analysis using the latest methods. Existing diagnostic software infrastructures are often unable to cope with high demands for versatility and scalability. We developed MOLGENIS VIP, a flexible, scalable, high-throughput, open-source, and "end-to-end" pipeline to process different types of sequencing data into portable, prioritized variant lists for immediate clinical interpretation in a wide variety of scenarios. VIP supports interpretation of short- and long-read sequencing data, using best-practice annotations and classification trees without complex IT infrastructures. VIP is developed within the long-living MOLGENIS open-source project to provide sustainability and has integrated feedback from a growing international community of users. VIP has undergone genome diagnostic laboratory testing and harnesses experiences from multiple Dutch, European, Canadian, and African diagnostic and infrastructural initiatives (VKGL, EU-Solve-RD, EJP-RD, CINECA, GA4GH). We provide a step-by-step protocol for installing and using VIP. We demonstrate VIP using 25 664 previously classified variants from the VKGL, and 18 and 41 diagnosed patients from a routine diagnostics and a Solve-RD research cohort, respectively. We believe that VIP accelerates causal variant detection and innovation in genome diagnostics and research.

NAR Genomics and BioinformaticsVol. 7(2)
University Medical Center Groningen (NL), University of Groningen (NL), University Medical Center (US)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Genomics and Phylogenetic Studies
1.61
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