2016
DOI: 10.1136/jmedgenet-2016-103825
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Identification of genomic deletions causing inherited retinal degenerations by coverage analysis of whole exome sequencing data

Abstract: We performed here a comprehensive analysis of WES data as a tool for identifying large genomic deletions in patients with IRDs. Our analysis indicates that large deletions are relatively frequent (about 10% of our WES cohort) and should be screened when analysing WES data.

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Cited by 32 publications
(31 citation statements)
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“…In conclusion, our rate of discovery for likely solving variants in IRD patients has increased from 55.8% to 65.8% by including information from CNVs and MAK-Alu insertions. This represents a significant improvement in solving genetic cases, consistent with or higher than in previous studies 47,48,[73][74][75] Note that in general, duplications were predicted less often, and were on average larger in size than predicted deletions. D) Comparison of the gCNV predicted sizes of validated CNVs that were also predicted by the SNP array (gCNV SA+ve) versus the gCNV predicted size of validated CNVs that were not predicted by the SA (gCNV SAve).…”
Section: Discussionsupporting
confidence: 87%
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“…In conclusion, our rate of discovery for likely solving variants in IRD patients has increased from 55.8% to 65.8% by including information from CNVs and MAK-Alu insertions. This represents a significant improvement in solving genetic cases, consistent with or higher than in previous studies 47,48,[73][74][75] Note that in general, duplications were predicted less often, and were on average larger in size than predicted deletions. D) Comparison of the gCNV predicted sizes of validated CNVs that were also predicted by the SNP array (gCNV SA+ve) versus the gCNV predicted size of validated CNVs that were not predicted by the SA (gCNV SAve).…”
Section: Discussionsupporting
confidence: 87%
“…However, PVs in each new disease gene are rare, affecting a handful of IRD patients [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] , suggesting that the missing genetic causality largely lies in the known IRD genes. A considerable proportion of these elusive PVs are due to structural variations (SVs) such as copy number variations (CNVs), or deep intronic variants that affect splicing 36,[39][40][41][42][43][44][45][46][47][48][49] , which are not readily available from the standard output of targeted next generation sequencing (NGS) pipelines.…”
Section: Introductionmentioning
confidence: 99%
“…Structural variants also represent an underestimated mutational burden that contributes to missing heritability and oligogenic mechanisms, not only in non-syndromic RD, but also in BBS and Joubert syndrome 20,2426,51,52 . Here, we report novel heterozygous multi-exon structural variants for BBS1 and RPGRIP1 that were identified by targeted comparative read-depth analysis.…”
Section: Discussionmentioning
confidence: 99%
“…9,[17][18][19][20]25 Compared to those previous studies, our study possessed two advantages: (1) we were the first to use whole-genome-wide genotyping arrays to dissect the contributions of CNVs in a large cohort of IRD patients; and (2) we analyzed not only the deletions, but also the duplications of genetic materials. However, there were certain limitations in this study as well.…”
Section: Discussionmentioning
confidence: 99%