Item Type: | Article |
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Title: | Application of high-throughput sequencing for studying genomic variations in congenital heart disease |
Creators Name: | Dorn, C., Grunert, M. and Sperling, S.R. |
Abstract: | Congenital heart diseases (CHD) represent the most common birth defect in human. The majority of cases are caused by a combination of complex genetic alterations and environmental influences. In the past, many disease-causing mutations have been identified; however, there is still a large proportion of cardiac malformations with unknown precise origin. High-throughput sequencing technologies established during the last years offer novel opportunities to further study the genetic background underlying the disease. In this review, we provide a roadmap for designing and analyzing high-throughput sequencing studies focused on CHD, but also with general applicability to other complex diseases. The three main next-generation sequencing (NGS) platforms including their particular advantages and disadvantages are presented. To identify potentially disease-related genomic variations and genes, different filtering steps and gene prioritization strategies are discussed. In addition, available control datasets based on NGS are summarized. Finally, we provide an overview of current studies already using NGS technologies and showing that these techniques will help to further unravel the complex genetics underlying CHD. |
Keywords: | Next-Generation Sequencing, Congenital Heart Disease, Sequence Variations, Variation Filtering, Whole-Exome Datasets, Genomics |
Source: | Briefings in Functional Genomics |
ISSN: | 2041-2649 |
Publisher: | Oxford University Press |
Volume: | 13 |
Number: | 1 |
Page Range: | 51-65 |
Date: | January 2014 |
Official Publication: | https://doi.org/10.1093/bfgp/elt040 |
PubMed: | View item in PubMed |
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