Non-coding variants upstream of MEF2C cause severe developmental disorder through three distinct loss-of-function mechanisms
By
Caroline F Wright,
Nicholas M Quaife,
Laura Ramos-Hernández,
Petr Danecek,
Matteo P Ferla,
Kaitlin E Samocha,
Joanna Kaplanis,
Eugene J Gardner,
Ruth Y. Eberhardt,
Katherine R Chao,
Konrad J. Karczewski,
Joannella Morales,
Meena Balasubramanian,
Siddharth Banka,
Lianne Gompertz,
Bronwyn Kerr,
Amelia Kirby,
Sally A Lynch,
Jenny EV Morton,
Hailey Pinz,
Francis H Sansbury,
Helen Stewart,
Britton D Zuccarelli,
Genomics England Research Consortium,
Stuart A Cook,
Jenny C Taylor,
Jane Juusola,
Kyle Retterer,
Helen V Firth,
Matthew E Hurles,
Enrique Lara-Pezzi,
Paul JR Barton,
Nicola Whiffin
Posted 16 Nov 2020
medRxiv DOI: 10.1101/2020.11.15.20229807
Clinical genetic testing of protein-coding regions identifies a likely causative variant in only [~]35% of severe developmental disorder (DD) cases. We screened 9,858 patients from the Deciphering Developmental Disorders (DDD) study for de novo mutations in the 5untranslated regions (5UTRs) of dominant haploinsufficient DD genes. We identify four single nucleotide variants and two copy number variants upstream of MEF2C that cause DD through three distinct loss-of-function mechanisms, disrupting transcription, translation, and/or protein function. These non-coding variants represent 23% of disease-causing variants identified in MEF2C in the DDD cohort. Our analyses show that non-coding variants upstream of known disease-causing genes are an important cause of severe disease and demonstrate that analysing 5UTRs can increase diagnostic yield, even using existing exome sequencing datasets. We also show how non-coding variants can help inform both the disease-causing mechanism underlying protein-coding variants, and dosage tolerance of the gene.
Download data
- Downloaded 697 times
- Download rankings, all-time:
- Site-wide: 32,632
- In genetic and genomic medicine: 93
- Year to date:
- Site-wide: 16,070
- Since beginning of last month:
- Site-wide: 16,070
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!