| Literature DB >> 29236091 |
Ricarda Flöttmann1,2, Bjørt K Kragesteen1,2, Sinje Geuer1, Magdalena Socha3, Lila Allou1, Anna Sowińska-Seidler3, Laure Bosquillon de Jarcy2, Johannes Wagner2, Aleksander Jamsheer3, Barbara Oehl-Jaschkowitz4, Lars Wittler1, Deepthi de Silva5, Ingo Kurth6,7, Idit Maya8, Fernando Santos-Simarro9,10, Wiebke Hülsemann11, Eva Klopocki12, Roger Mountford13, Alan Fryer13, Guntram Borck14, Denise Horn2, Pablo Lapunzina9, Meredith Wilson15, Bénédicte Mascrez16, Denis Duboule16,17, Stefan Mundlos1,2, Malte Spielmann1,18.
Abstract
PurposeCopy-number variants (CNVs) are generally interpreted by linking the effects of gene dosage with phenotypes. The clinical interpretation of noncoding CNVs remains challenging. We investigated the percentage of disease-associated CNVs in patients with congenital limb malformations that affect noncoding cis-regulatory sequences versus genes sensitive to gene dosage effects.MethodsWe applied high-resolution copy-number analysis to 340 unrelated individuals with isolated limb malformation. To investigate novel candidate CNVs, we re-engineered human CNVs in mice using clustered regularly interspaced short palindromic repeats (CRISPR)-based genome editing.ResultsOf the individuals studied, 10% harbored CNVs segregating with the phenotype in the affected families. We identified 31 CNVs previously associated with congenital limb malformations and four novel candidate CNVs. Most of the disease-associated CNVs (57%) affected the noncoding cis-regulatory genome, while only 43% included a known disease gene and were likely to result from gene dosage effects. In transgenic mice harboring four novel candidate CNVs, we observed altered gene expression in all cases, indicating that the CNVs had a regulatory effect either by changing the enhancer dosage or altering the topological associating domain architecture of the genome.ConclusionOur findings suggest that CNVs affecting noncoding regulatory elements are a major cause of congenital limb malformations.Entities:
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Year: 2017 PMID: 29236091 DOI: 10.1038/gim.2017.154
Source DB: PubMed Journal: Genet Med ISSN: 1098-3600 Impact factor: 8.822