Abstract
MobiDetails is an expert tool, online application which gathers useful data for the interpretation of DNA variants in the context of molecular diagnosis. It brings together in a single tool many sources of data, such as population genetics, various kinds of predictors, Human Genome Variation Society (HGVS) nomenclatures, curated databases, and access to various annotations. Accurate interpretation of DNA variants is crucial and can impact the patient care or have familial outcomes (prenatal diagnosis). Its importance will increase in the coming years with the expansion of the personalized medicine. MobiDetails is specifically designed to help with this task. Exonic or intronic substitutions and small insertions/deletions related to more than 18,000 human genes are easily submitted and annotated in real-time. It is a responsive website that can be accessed using mobiles or tablets during medical staff meetings. MobiDetails is based on publicly available resources, does not include any specific data on patients or phenotypes, and is freely available for academic use at https://mobidetails.iurc.montp.inserm.fr/MD/.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Change history
27 November 2020
An amendment to this article has been published and can be accessed via a link at the top of the article.
10 December 2020
A Correction to this paper has been published: https://doi.org/10.1038/s41431-020-00789-3
References
Peterson JF, Roden DM, Orlando LA, Ramirez AH, Mensah GA, Williams MS. Building evidence and measuring clinical outcomes for genomic medicine. Lancet. 2019;394:604–10.
Boudellioua I, Mahamad Razali RB, Kulmanov M, Hashish Y, Bajic VB, Goncalves-Serra E, et al. Semantic prioritization of novel causative genomic variants. Karchin R, editor. PLoS Comput Biol. 2017;13:e1005500.
Boussaroque A, Bergougnoux A, Raynal C, Audrézet M-P, Sasorith S, Férec C, et al. Pitfalls in the interpretation of CFTR variants in the context of incidental findings. Hum Mutat. 2019;40:2239–46.
Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–23.
Kopanos C, Tsiolkas V, Kouris A, Chapple CE, Albarca Aguilera M, Meyer R, et al. VarSome: the human genomic variant search engine. Bioinformatics. 2019;35:1978–80.
Wang J, Al-Ouran R, Hu Y, Kim S-Y, Wan Y-W, Wangler MF, et al. MARRVEL: Integration of human and model organism genetic resources to facilitate functional annotation of the human genome. Am J Hum Genet. 2017;100:843–53.
McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GRS, Thormann A, et al. The Ensembl variant effect predictor. Genome Biol. 2016;17:122.
Liu X, Wu C, Li C, Boerwinkle E. dbNSFP v3.0: a one-stop database of functional predictions and annotations for human nonsynonymous and splice-site SNVs. Hum Mutat. 2016;37:235–41.
Genome Aggregation Database Consortium, Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581:434–43.
Fokkema IFAC, Taschner PEM, Schaafsma GCP, Celli J, Laros JFJ, den Dunnen JT. LOVD v.2.0: the next generation in gene variant databases. Hum Mutat. 2011;32:557–63.
Yeo G, Burge CB. Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. J Computational Biol. 2004;11:377–94.
Patrinos GP, Cooper DN, van Mulligen E, Gkantouna V, Tzimas G, Tatum Z, et al. Microattribution and nanopublication as means to incentivize the placement of human genome variation data into the public domain. Hum Mutat. 2012;33:1503–12.
Sherry ST. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29:308–11.
Freeman PJ, Hart RK, Gretton LJ, Brookes AJ, Dalgleish R. VariantValidator: accurate validation, mapping, and formatting of sequence variation descriptions. Hum Mutat. 2018;39:61–8.
Dunnen JT, den, Dalgleish R, Maglott DR, Hart RK, Greenblatt MS, McGowan‐Jordan J, et al. HGVS recommendations for the description of sequence variants: 2016 update. Hum Mutat. 2016;37:564–9.
Wildeman M, van Ophuizen E, den Dunnen JT, Taschner PEM. Improving sequence variant descriptions in mutation databases and literature using the Mutalyzer sequence variation nomenclature checker. Hum Mutat. 2008;29:6–13.
Allot A, Peng Y, Wei C-H, Lee K, Phan L, Lu Z. LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC. Nucleic Acids Res. 2018;46:W530–6.
Li Q, Wang K. InterVar: clinical interpretation of genetic variants by the 2015 ACMG-AMP guidelines. Am J Hum Genet. 2017;100:267–80.
Landrum MJ, Lee JM, Benson M, Brown G, Chao C, Chitipiralla S, et al. ClinVar: public archive of interpretations of clinically relevant variants. Nucleic Acids Res. 2016;44:D862–8.
Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M, et al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res. 2012;22:1790–7.
Claustres M, Thèze C, des Georges M, Baux D, Girodon E, Bienvenu T, et al. CFTR-France, a national relational patient database for sharing genetic and phenotypic data associated with rare CFTR variants. Hum Mutat. 2017;38:1297–315.
Li C, Mou C, Swartz MD, Yu B, Bai Y, Tu Y, et al. dbMTS: A comprehensive database of putative human microRNA target site SNVs and their functional predictions. Hum Mutat. 2020;41:1123–30.
Wiel L, Baakman C, Gilissen D, Veltman JA, Vriend G, Gilissen C. MetaDome: pathogenicity analysis of genetic variants through aggregation of homologous human protein domains. Hum Mutat. 2019;40:1030–8.
Rentzsch P, Witten D, Cooper GM, Shendure J, Kircher M. CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Res. 2019;47:D886–94.
Ionita-Laza I, McCallum K, Xu B, Buxbaum JD. A spectral approach integrating functional genomic annotations for coding and noncoding variants. Nat Genet. 2016;48:214–20.
Yauy K, Baux D, Pegeot H, Van Goethem C, Mathieu C, Guignard T, et al. MoBiDiC prioritization algorithm, a free, accessible, and efficient pipeline for single-nucleotide variant annotation and prioritization for next-generation sequencing routine molecular diagnosis. J Mol Diagnostics. 2018;20:465–73.
Jian X, Boerwinkle E, Liu X. In silico prediction of splice-altering single nucleotide variants in the human genome. Nucleic Acids Res. 2014;42:13534–44.
Jaganathan K, Kyriazopoulou Panagiotopoulou S, McRae JF, Darbandi SF, Knowles D, Li YI, et al. Predicting splicing from Primary Sequence with Deep Learning. Cell 2019;176:535–548.e24.
Ng PC, Henikoff S. Predicting the effects of amino acid substitutions on protein function. Annu Rev genomics Hum Genet. 2006;7:61–80.
Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, et al. A method and server for predicting damaging missense mutations. Nat methods. 2010;7:248–9.
Shihab HA, Gough J, Cooper DN, Stenson PD, Barker GLA, Edwards KJ, et al. Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models. Hum Mutat. 2013;34:57–65.
Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, et al. REVEL: an Ensemble method for predicting the pathogenicity of rare missense variants. Am J Hum Genet. 2016;99:877–85.
Dong C, Wei P, Jian X, Gibbs R, Boerwinkle E, Wang K, et al. Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies. Hum Mol Genet. 2015;24:2125–37.
Alirezaie N, Kernohan KD, Hartley T, Majewski J, Hocking TD. ClinPred: prediction tool to identify disease-relevant nonsynonymous single-nucleotide variants. Am J Hum Genet. 2018;103:474–83.
Chennen K, Weber T, Lornage X, Kress A, Böhm J, Thompson J, et al. MISTIC: a prediction tool to reveal disease-relevant deleterious missense variants. Andrade-Navarro MA, editor. PLoS ONE. 2020;15:e0236962.
Acknowledgements
We thank early adopters of MobiDetails for their feedback and input, especially Drs. Vuthy Ea, Luke Mansard, Mouna Barat, Aurélien Perrin, Juliette Nectoux, and Alessandro Liquori. We thank Lawrence McGuire for the careful reading of the manuscript.
Funding
This work was supported in part by the French association “SOS Rétinite”.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
About this article
Cite this article
Baux, D., Van Goethem, C., Ardouin, O. et al. MobiDetails: online DNA variants interpretation. Eur J Hum Genet 29, 356–360 (2021). https://doi.org/10.1038/s41431-020-00755-z
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41431-020-00755-z
This article is cited by
-
The first description of CTNNB1 syndrome in the Tunisian population: clinical investigation, molecular docking and molecular dynamics simulation of β-catenin/E-cadherin complex
Molecular Biology Reports (2026)
-
Unveiling splicing disruptions due to common somatic variants in acute myeloid leukemia
Human Genomics (2025)
-
A case of congenital heart defects and familial exudative vitreoretinopathy caused by activation of a cryptic splice donor in NOTCH1
BMC Medical Genomics (2025)
-
Expanding the molecular spectrum of aggrecanopathies: exploring 24 patients with ACAN significant variants
European Journal of Human Genetics (2025)
-
Homozygous COQ9 mutation: a new cause of potentially treatable hereditary spastic paraplegia
European Journal of Human Genetics (2025)


