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Resolving the dark matter of ABCA4 for 1,054 Stargardt disease probands through integrated genomics and transcriptomics

Authors :
Carel B. Hoyng
Yahya AlSwaiti
Lubica Dudakova
Alexander Hoischen
Lisa Roberts
Christian Gilissen
Michael B. Gorin
Marc Pieterse
Isabelle Meunier
Damjan Glavač
Jacek P. Szaflik
Andrea L Vincent
Dror Sharon
Xavier Zanlonghi
Martine van Zweeden
Monika Ołdak
Bernard Puech
Camiel J. F. Boon
Femke Bults
Anna M. Tracewska
Marloes Steehouwer
Caroline C W Klaver
Jacquie Greenberg
Hadas Newman
Bohdan Kousal
Miriam Bauwens
Bernard H.F. Weber
Smaragda Kamakari
G. Jane Farrar
Eyal Banin
Elfride De Baere
Jennifer A. Thompson
Adrian Dockery
Marcela D. Mena
Tamar Ben-Yosef
Manar Salameh
Laura Whelan
Tina M. Lamey
L. Ingeborgh van den Born
Ana Fakin
Frans P.M. Cremers
Klaus Rüther
Buhle Ntozini
Sandro Banfi
Claire-Marie Dhaenens
Raj Ramesar
Georg Spital
Osvaldo L. Podhajcer
Heidi Stöhr
Ulrich Kellner
Esmee H. Runhart
Herbert Jägle
John N. De Roach
Kaoru Fujinami
Marta Del Pozo-Valero
Takaaki Hayashi
Juliana Maria Ferraz Sallum
Petra Liskova
Terri L. McLaren
Karsten Hufendiek
Marianthi Karali
Stéphanie S. Cornelis
Sabine Defoort
Ymkje M. Hettinga
Francesca Simonelli
Alaa AlTabishi
Mubeen Khan
Caroline Thuillier
Anna Matynia
Carmen Ayuso
Ketan Mishra
Mariana Vallim Salles
Ian M. MacDonald
Aurore Devos
Rianne Miller
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

Missing heritability in human diseases represents a major challenge. Although whole-genome sequencing enables the analysis of coding and non-coding sequences, substantial costs and data storage requirements hamper its large-scale use to (re)sequence genes in genetically unsolved cases. The ABCA4 gene implicated in Stargardt disease (STGD1) has been studied extensively for 22 years, but thousands of cases remained unsolved. Therefore, single molecule molecular inversion probes were designed that enabled an automated and cost-effective sequence analysis of the complete 128-kb ABCA4 gene. Analysis of 1,054 unsolved STGD and STGD-like probands resulted in bi-allelic variations in 448 probands. Twenty-seven different causal deep-intronic variants were identified in 117 alleles. Based on in vitro splice assays, the 13 novel causal deep-intronic variants were found to result in pseudo-exon (PE) insertions (n=10) or exon elongations (n=3). Intriguingly, intron 13 variants c.1938-621G>A and c.1938-514G>A resulted in dual PE insertions consisting of the same upstream, but different downstream PEs. The intron 44 variant c.6148-84A>T resulted in two PE insertions that were accompanied by flanking exon deletions. Structural variant analysis revealed 11 distinct deletions, two of which contained small inverted segments. Uniparental isodisomy of chromosome 1 was identified in one proband. Integrated complete gene sequencing combined with transcript analysis, identified pathogenic deep-intronic and structural variants in 26% of bi-allelic cases not solved previously by sequencing of coding regions. This strategy serves as a model study that can be applied to other inherited diseases in which only one or a few genes are involved in the majority of cases.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....87e07f399c9d8c1ee433e6af3c48b541
Full Text :
https://doi.org/10.1101/817767