Literature DB >> 31475990

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information.

Julia Wang1, Zhandong Liu2, Hugo J Bellen3, Shinya Yamamoto4.   

Abstract

Through whole-exome/genome sequencing, human geneticists identify rare variants that segregate with disease phenotypes. To assess if a specific variant is pathogenic, one must query many databases to determine whether the gene of interest is linked to a genetic disease, whether the specific variant has been reported before, and what functional data is available in model organism databases that may provide clues about the gene's function in human. MARRVEL (Model organism Aggregated Resources for Rare Variant ExpLoration) is a one-stop data collection tool for human genes and variants and their orthologous genes in seven model organisms including in mouse, rat, zebrafish, fruit fly, nematode worm, fission yeast, and budding yeast. In this Protocol, we provide an overview of what MARRVEL can be used for and discuss how different datasets can be used to assess whether a variant of unknown significance (VUS) in a known disease-causing gene or a variant in a gene of uncertain significance (GUS) may be pathogenic. This protocol will guide a user through searching multiple human databases simultaneously starting with a human gene with or without a variant of interest. We also discuss how to utilize data from OMIM, ExAC/gnomAD, ClinVar, Geno2MP, DGV and DECHIPHER. Moreover, we illustrate how to interpret a list of ortholog candidate genes, expression patterns, and GO terms in model organisms associated with each human gene. Furthermore, we discuss the value protein structural domain annotations provided and explain how to use the multiple species protein alignment feature to assess whether a variant of interest affects an evolutionarily conserved domain or amino acid. Finally, we will discuss three different use-cases of this website. MARRVEL is an easily accessible open access website designed for both clinical and basic researchers and serves as a starting point to design experiments for functional studies.

Entities:  

Year:  2019        PMID: 31475990     DOI: 10.3791/59542

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  9 in total

Review 1.  Making sense out of missense mutations: Mechanistic dissection of Notch receptors through structure-function studies in Drosophila.

Authors:  Shinya Yamamoto
Journal:  Dev Growth Differ       Date:  2020-01-13       Impact factor: 2.053

2.  BICRA, a SWI/SNF Complex Member, Is Associated with BAF-Disorder Related Phenotypes in Humans and Model Organisms.

Authors:  Scott Barish; Tahsin Stefan Barakat; Brittany C Michel; Nazar Mashtalir; Jennifer B Phillips; Alfredo M Valencia; Berrak Ugur; Jeremy Wegner; Tiana M Scott; Brett Bostwick; David R Murdock; Hongzheng Dai; Elena Perenthaler; Anita Nikoncuk; Marjon van Slegtenhorst; Alice S Brooks; Boris Keren; Caroline Nava; Cyril Mignot; Jessica Douglas; Lance Rodan; Catherine Nowak; Sian Ellard; Karen Stals; Sally Ann Lynch; Marie Faoucher; Gaetan Lesca; Patrick Edery; Kendra L Engleman; Dihong Zhou; Isabelle Thiffault; John Herriges; Jennifer Gass; Raymond J Louie; Elliot Stolerman; Camerun Washington; Francesco Vetrini; Aiko Otsubo; Victoria M Pratt; Erin Conboy; Kayla Treat; Nora Shannon; Jose Camacho; Emma Wakeling; Bo Yuan; Chun-An Chen; Jill A Rosenfeld; Monte Westerfield; Michael Wangler; Shinya Yamamoto; Cigall Kadoch; Daryl A Scott; Hugo J Bellen
Journal:  Am J Hum Genet       Date:  2020-11-23       Impact factor: 11.025

3.  Functional Studies of Genetic Variants Associated with Human Diseases in Notch Signaling-Related Genes Using Drosophila.

Authors:  Sheng-An Yang; Jose L Salazar; David Li-Kroeger; Shinya Yamamoto
Journal:  Methods Mol Biol       Date:  2022

4.  OMAMO: orthology-based alternative model organism selection.

Authors:  Alina Nicheperovich; Adrian M Altenhoff; Christophe Dessimoz; Sina Majidian
Journal:  Bioinformatics       Date:  2022-03-18       Impact factor: 6.931

5.  The microRNA processor DROSHA is a candidate gene for a severe progressive neurological disorder.

Authors:  Scott Barish; Mumine Senturk; Kelly Schoch; Amanda L Minogue; Diego Lopergolo; Chiara Fallerini; Jake Harland; Jacob H Seemann; Nicholas Stong; Peter G Kranz; Sujay Kansagra; Mohamad A Mikati; Joan Jasien; Mays El-Dairi; Paolo Galluzzi; Francesca Ariani; Alessandra Renieri; Francesca Mari; Michael F Wangler; Swathi Arur; Yong-Hui Jiang; Shinya Yamamoto; Vandana Shashi; Hugo J Bellen
Journal:  Hum Mol Genet       Date:  2022-08-25       Impact factor: 5.121

6.  In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila.

Authors:  J Michael Harnish; Samantha L Deal; Hsiao-Tuan Chao; Michael F Wangler; Shinya Yamamoto
Journal:  J Vis Exp       Date:  2019-08-20       Impact factor: 1.355

7.  The fruit fly at the interface of diagnosis and pathogenic mechanisms of rare and common human diseases.

Authors:  Hugo J Bellen; Michael F Wangler; Shinya Yamamoto
Journal:  Hum Mol Genet       Date:  2019-11-21       Impact factor: 5.121

8.  Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision.

Authors:  Dustin Baldridge; Michael F Wangler; Angela N Bowman; Shinya Yamamoto; Tim Schedl; Stephen C Pak; John H Postlethwait; Jimann Shin; Lilianna Solnica-Krezel; Hugo J Bellen; Monte Westerfield
Journal:  Orphanet J Rare Dis       Date:  2021-05-07       Impact factor: 4.123

Review 9.  Invertebrate Model Organisms as a Platform to Investigate Rare Human Neurological Diseases.

Authors:  Ji-Hye Lee
Journal:  Exp Neurobiol       Date:  2022-02-28       Impact factor: 3.261

  9 in total

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