scispace - formally typeset
Open AccessJournal ArticleDOI

Identification of Gene Mutations in Autosomal Dominant Polycystic Kidney Disease through Targeted Resequencing

Reads0
Chats0
TLDR
A strategy to analyze both the PKD1 and PKD2 genes using next-generation sequencing by pooling long-range PCR amplicons and multiplexing bar-coded libraries is developed and validated and is a model for future genetic characterization of large ADPKD populations.
Abstract
Mutations in two large multi-exon genes, PKD1 and PKD2, cause autosomal dominant polycystic kidney disease (ADPKD). The duplication of PKD1 exons 1-32 as six pseudogenes on chromosome 16, the high level of allelic heterogeneity, and the cost of Sanger sequencing complicate mutation analysis, which can aid diagnostics of ADPKD. We developed and validated a strategy to analyze both the PKD1 and PKD2 genes using next-generation sequencing by pooling long-range PCR amplicons and multiplexing bar-coded libraries. We used this approach to characterize a cohort of 230 patients with ADPKD. This process detected definitely and likely pathogenic variants in 115 (63%) of 183 patients with typical ADPKD. In addition, we identified atypical mutations, a gene conversion, and one missed mutation resulting from allele dropout, and we characterized the pattern of deep intronic variation for both genes. In summary, this strategy involving next-generation sequencing is a model for future genetic characterization of large ADPKD populations.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Polycystic kidney disease.

TL;DR: An overview of the current knowledge of PKD and its treatment can be found in this paper, where the authors provide an overview of existing knowledge about the pathogenesis and treatment of polycystic kidney disease.
Journal ArticleDOI

Genetic mechanisms and signaling pathways in autosomal dominant polycystic kidney disease.

TL;DR: An improved understanding of aberrant downstream pathways in ADPKD, such as proliferation/secretion-related signaling, energy metabolism, and activated macrophages, in which cAMP and calcium changes may play a role, is leading to the identification of therapeutic targets.
Journal ArticleDOI

Improved genetic testing for monogenic diabetes using targeted next-generation sequencing

TL;DR: A novel targeted next-generation sequencing assay provides a highly sensitive method for simultaneous analysis of all monogenic diabetes genes and can detect mutations previously identified by Sanger sequencing or multiplex ligation-dependent probe amplification dosage analysis.
References
More filters
Journal ArticleDOI

Sequencing technologies-the next generation

TL;DR: A technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments is presented.
Journal ArticleDOI

Alternative Isoform Regulation in Human Tissue Transcriptomes

TL;DR: An in-depth analysis of 15 diverse human tissue and cell line transcriptomes on the basis of deep sequencing of complementary DNA fragments yielding a digital inventory of gene and mRNA isoform expression suggested common involvement of specific factors in tissue-level regulation of both splicing and polyadenylation.
Journal ArticleDOI

Next-Generation DNA Sequencing Methods

TL;DR: An astounding potential exists for next-generation DNA sequencing technologies to bring enormous change in genetic and biological research and to enhance the authors' fundamental biological knowledge.
Journal ArticleDOI

Human Splicing Finder: an online bioinformatics tool to predict splicing signals

TL;DR: Human Splicing Finder is designed, a tool to predict the effects of mutations on splicing signals or to identify splicing motifs in any human sequence, and it is shown that the mutation effect was correctly predicted in almost all cases.
Journal ArticleDOI

Exome sequencing identifies the cause of a Mendelian disorder

TL;DR: Exome sequencing of a small number of unrelated affected individuals is a powerful, efficient strategy for identifying the genes underlying rare mendelian disorders and will likely transform the genetic analysis of monogenic traits.
Related Papers (5)