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

  • Willem Maassen*
  • , Lennart Johansson
  • , Bart Charbon
  • , Dennis Hendriksen
  • , Sander van den Hoek
  • , Mariska Slofstra
  • , Renée Mulder
  • , Martine Meems-Veldhuis
  • , Robert Sietsma
  • , Henny Lemmink
  • , Cleo van Diemen
  • , Mariëlle van Gijn
  • , Morris Swertz
  • , Kasper van der Velde
  • *Corresponding author for this work
  • University of Groningen
  • Amsterdam UMC - University of Amsterdam

Research output: Contribution to journalArticleAcademicpeer-review

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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.
Original languageEnglish
Article numberlqaf087
JournalNAR Genomics and Bioinformatics
Volume7
Issue number2
DOIs
Publication statusPublished - 1 Jun 2025
Externally publishedYes

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