What can go wrong in the non-coding genome and how to interpret whole genome sequencing data.

enhancer mutations genetic disease non-coding genome non-coding variant evaluation splice site mutations structural variants

Journal

Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V
ISSN: 1863-5490
Titre abrégé: Med Genet
Pays: Germany
ID NLM: 9440651

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 02 02 2021
accepted: 24 06 2021
medline: 14 8 2021
pubmed: 14 8 2021
entrez: 5 6 2024
Statut: epublish

Résumé

Whole exome sequencing discovers causative mutations in less than 50 % of rare disease patients, suggesting the presence of additional mutations in the non-coding genome. So far, non-coding mutations have been identified in less than 0.2 % of individuals with genetic diseases listed in the ClinVar database and exhibit highly diverse molecular mechanisms. In contrast to our capability to sequence the whole genome, our ability to discover and functionally confirm such non-coding mutations is lagging behind severely. We discuss the problems and present examples of confirmed mutations in deep intronic sequences, non-coding triplet repeats, enhancers, and larger structural variants and highlight their proposed disease mechanisms. Finally, we discuss the type of data that would be required to establish non-coding mutation detection in routine diagnostics.

Identifiants

pubmed: 38836035
doi: 10.1515/medgen-2021-2071
pii: medgen-2021-2071
pmc: PMC11007630
doi:

Types de publication

Journal Article

Langues

eng

Pagination

121-131

Informations de copyright

© 2021 Krude et al., published by De Gruyter.

Déclaration de conflit d'intérêts

Competing interests: The authors did not have any conflicts of interest relevant to this article.

Auteurs

Heiko Krude (H)

Institute of Experimental Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Stefan Mundlos (S)

Institute for Medical and Human Genetics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Nancy Christine Øien (NC)

Department of Neuropediatrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Robert Opitz (R)

Institute of Experimental Pediatric Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Markus Schuelke (M)

Department of Neuropediatrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
NeuroCure Cluster of Excellence, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Classifications MeSH