Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Comparison of constitutional and replication stress-induced genome structural variation by SNP array and mate-pair sequencing

ABSTRACT: Copy number variants (CNVs) are a major source of genetic variation in human health and disease. Previous studies have suggested replication stress, such as that caused by the polymerase inhibitor aphidicolin, as a causative factor in CNV formation, but existing data are technically limited in the quality of the comparisons which can be made to experimentally induced variants. Here we used 1M feature single-nucleotide polymorphism (SNP) arrays and mate-pair sequencing as high resolution methods for characterizing CNVs in a common set of samples, to compare both the properties of constitutional and induced CNVs as well as the utility of the two methods in an experimental setting. Although the optimized methods provided complementary information, sequencing was more sensitive to small variants and provided superior structural descriptions that allowed some CNVs to be associated with inversions, ectopic duplications or LINE insertions. The majority of constitutional and all aphidicolin-induced CNVs appear to be formed via homology-independent mechanisms, while aphidicolin-induced CNVs were of a larger median size than constitutional events even when mate-pair data were considered. Aphidicolin thus appears to stimulate formation of CNVs that closely resemble human pathogenic CNVs and the subset of larger nonhomologous constitutional CNVs. One untreated and one aphidicolin-treated subclone of human fibroblast cell line HGMDFN090 were analyzed by Illumina HumanOmni1-Quad SNP array and low-density mate-pair sequencing.

ORGANISM(S): Homo sapiens

SUBMITTER: Thomas Wilson

PROVIDER: E-GEOD-26121 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Immunoglobulin A Nephropathy (IgAN) is a complex multifactorial disease whose genetic bases remain unknown. Distinct linkage and genome-wide association studies in both familial and sporadic IgAN suggest that there is a strong genetic component in IgAN. In this context, an intriguing role could be ascribed to copy number variants (CNVs) that have been recognized as an important source of genetic variation in humans. Here, we performed a whole-genome screening of CNVs in IgAN patients, their healthy relatives and healthy subjects (HS). A total of 217 individuals consisting of 51 IgAN cases and 166 healthy relatives were included in the initial screening. The high-throughput analysis of structural genetic variations, to find concordant aberrations across classes of samples, identified 178 IgAN-specific aberrations, specifically 114 loss and 64 gain. Several CNVs overlapped with regions evidenced by previous genome-wide genetic studies. Moreover, we found that IgAN patients characterized by deteriorated renal function carried low copy numbers of a CNV in chromosome 3 (chr3_loss:52031010-52260722). This CNV contained the TLR9 gene whose expression significantly correlated with the loss aberration in patients with progressive renal damage. Conversely, IgAN patients with normal renal function had no chr3_loss:52031010-52260722 and the TLR9 mRNA was expressed at the same level as in HS, still maintaining a strong correlation with the CNV. In conclusion, here we performed the first genome-wide CNV study in IgAN identifying some structural variants specific to IgAN patients and providing a collection of new candidate genes and loci that could help to dissect the complex genomic setting of the disease. Moreover, we identified a specific CNV, spanning the TLR9 gene, which could explain the disease severity in IgAN patients. To perform a genome-wide CNV study in IgAN identifying some structural variants specific to IgAN patients and providing a collection of new candidate genes and loci that could help to dissect the complex genomic setting of the disease.

Dataset Information

Comparison of constitutional and replication stress-induced genome structural variation by SNP array and mate-pair sequencing

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