2015
DOI: 10.1002/humu.22814
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Whole-Genome Sequencing and Integrative Genomic Analysis Approach on Two 22q11.2 Deletion Syndrome Family Trios for Genotype to Phenotype Correlations

Abstract: The 22q11.2 deletion syndrome (22q11DS) affects 1:4000 live births and presents with highly variable phenotype expressivity. In this study, we developed an analytical approach utilizing whole genome sequencing and integrative analysis to discover genetic modifiers. Our pipeline combined available tools in order to prioritize rare, predicted deleterious, coding and non-coding single nucleotide variants (SNVs) and insertion/deletions (INDELs) from whole genome sequencing (WGS). We sequenced two unrelated proband… Show more

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Cited by 17 publications
(15 citation statements)
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References 82 publications
(95 reference statements)
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“…13 and mutations reported in ref. 14; data on germline mutation frequency in mice was obtained using sequencing data from ref.…”
Section: Resultsmentioning
confidence: 94%
“…13 and mutations reported in ref. 14; data on germline mutation frequency in mice was obtained using sequencing data from ref.…”
Section: Resultsmentioning
confidence: 94%
“…The phenotypical variability, even within the same mouse strain, as in monozygotic twins with 22q11.2DS 29 , is also consistent with the role of stochastic effects, and potentially epigenetic and other mechanisms. It can be anticipated that ongoing genome-wide association, whole-genome sequencing and expression studies will identify genetic modifiers and mechanisms 73,74,105,124,227,228 .…”
Section: Discussionmentioning
confidence: 99%
“…Despite millions of people affected with rare diseases, connecting families with the same diagnosis can be a challenge as affected individuals can span national and international borders. The continued integration of genomic sequencing into clinical practice is inevitably leading to the identification of cases that expand previously described "classic" phenotypes (Chung et al 2015;Moortgat et al 2018;Toledo and Dahia 2015). Connecting families with shared genetic etiologies can create valuable scientific resources to understand the natural history of diseases, and centralized registries can aid in recruitment for studies of rare disorders.…”
Section: Introductionmentioning
confidence: 99%