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Whole Exome Sequencing

CD Genomics has been providing the flexible and affordable whole exome sequencing service for couple of years. We employ Illumina HiSeq sequencing platform to obtain the genetic variations information in a more efficient way.

The Introduction of Whole Exome Sequencing

Human genome comprises approximately 3×109 bases, and contains approximately 180,000 coding regions (exome), constituting about 1.7% of a human genome. It is estimated that 85% of the disease-causing mutations occur in the exome. For this reason, sequencing of the whole exome has the potential to uncover higher yield of relevant variants at a far lower cost than whole genome sequencing. Whole exome sequencing is thought to be an efficient and powerful way to identify the genetic variants that affect heritable phenotypes, including important disease-causing mutations and natural variations that can be used to improve crops and livestock.

Whole Exome Sequencing utilizes exome capture technology to enrich exons, and then sequences these regions in a high-throughput manner. To be specific, DNA samples are first fragmented and biotinylated oligonucleotide probes (baits) are used to selectively hybridize to exome in the genome. Magnetic streptavidin beads are then used to bind to the biotinylated probes. The non-targeted portion of the genome is washed away, and the PCR is used to enrich the sample for DNA from the target region. Subsequently, the sample is sequenced by the Illumina HiSeq platform. This strategy can result in up to a 100-fold improvement in gene coverage for the human genome. The validated sequencing data are then used for variant analysis and clinical statements.

Advantages of Whole Exome Sequencing

  • Lower cost and wide availability
  • Increased sequence coverage (above 120X)
  • Detection of coding single-nucleotide polymorphism (SNP) variants as sensitive as whole genome sequencing
  • A smaller data set for faster and easier analysis compared to whole genome sequencing
  • Medical and agricultural applications

Whole Exome Sequencing Workflow

CD Genomics employs the Illumina HiSeq system to provide the fast and accurate whole exome sequencing and bioinformatics analysis. Our highly experienced expert team executes quality management, following every procedure to ensure confident and unbiased results. The general workflow for whole exome sequencing is outlined below.

Workflow Diagram of Whole Exome Sequencing.

Service Specifications

Sample Requirements
  • Genomic DNA ≥500 ng, Minimum Quantity: 100 ng, Concentration ≥ 10 ng/μl, OD260/280=1.8~2.0.
  • We also accept cultivated cells, blood, tissues, FFPE (formalin-fixed, paraffin-embedded), and other samples.
  • All samples are validated for DNA purity and quantity.
  • Cost-effective library preparation and exome enrichment solution using TruSeq DNA Exome, Agilent SureSelect, or NimbleGen SeqCap kits.
Note: Sample amounts are listed for reference only. For detailed information, please contact us with your customized requests.

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Sequencing
  • HiSeq platform PE150, MGI DNBSEQ-T7/DNBSEQ-G400.
  • Standard sequencing coverage ≥ 50X; cancer sample ≥ 100X. More SNPs can be gained by increasing the coverage.
Bioinformatics Analysis
We provide customized bioinformatics analysis including:
  • Raw data quality control
  • Alignment with reference genome
  • SNP/InDel calling and statistics
  • Somatic SNP/InDel calling and statistics
  • Annotation
  • Advanced analysis: monogenic disorders, complex/multifactorial disorders, and cancer.
Note: Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Analysis Pipeline

The Data Analysis Pipeline of Whole Exome Sequencing.

Deliverables

  • The original sequencing data
  • Experimental results
  • Data analysis report
  • Details in Whole Exome Sequencing for your writing (customization)

CD Genomics provides full whole exome sequencing service package including sample standardization, exome capture, library construction, deep sequencing, raw data quality control, and bioinformatics analysis. We can tailor this pipeline to your research interest. If you have additional requirements or questions, please feel free to contact us.

Reference:

  1. Warr A, Robert C, Hume D, et al. Exome sequencing: current and future perspectives. G3: Genes, Genomes, Genetics, 2015, 5(8): 1543-1550.

The Whole Exome Sequencing Results Display Figure.

1. What are the applications of whole exome sequencing?

Human genome contains approximately 180,000 coding regions (exome), constituting about 1.7% of a human genome. It is estimated that 85% of the disease-causing mutations occur in the exome. Therefore, whole exome sequencing is a potential contributor to the understanding of human diseases. Whole exome sequencing is a cost-effective and powerful tool, especially suitable for bigger sample size and high coverage. Whole exome sequencing is mainly used to investigate the genetic cause of both Mendelian and common diseases such as cancer and diabetes.

Figure 1. Utilization of whole exome sequencing in a multifaceted disease.Figure 1. Application of whole exome sequencing in a complex disease.

2. What variations can whole exome sequencing detect?

Whole exome sequencing can detect SNPs, InDels, and maybe copy number variations (CNVs).

3. How do I determine the sequencing depth?

Sequencing depth is an important factor for high-throughput sequencing. One paper published in the journal Genomics & Informatics revealed that the sequencing depth of whole exome sequencing can affect the discovery rates of variations. To summarize, the number of deleterious SNPs and InDels detected in the coding regions was only weakly increased a depths more than 120×. In other words, a sequencing depth of 120× can be considered reasonable when using the exome capture sequencing technique to identify significant variations in diagnostic studies.

4. What are the disadvantages of whole exome sequencing?

Whole exome sequencing is characterized by lower cost, increased sequence coverage, as well as sensitive and specific identification. Nevertheless, Whole exome sequencing cannot detect structural variants, and has a limited view, i.e., only coding regions. Not all targets are captured (approximately 80%), and it is difficult to capture GC-rich regions.

Reference:

  1. Kyung Kim, et al. Effect of Next-Generation Exome Sequencing Depth for Discovery of Diagnostic Variants. Genomics & Informatics. 2015, Jun; 13(2): 31–39.

First missense mutation outside of SERAC1 lipase domain affecting intracellular cholesterol trafficking

Journal: Nuerogenetics

Impact factor: 3.269

Published online: 7 October 2015

Abstract

MEGDEL syndrome is a rare inborn error of metabolism. This syndrome has been associated to mutations in the serine active site containing 1 (SERAC1) gene. The authors reported a new homozygous mutation in the SERAC1 gene via whole exome sequencing at CD Genomics. This is the first missense mutation outside of serine-lipase domain of the protein that affects the intracellular cholesterol trafficking.

Results

1. Mutations in the SERAC1 gene

To date, 19 mutations in the SERAC1 gene have been identified in patients with MEGDEL syndrome (Table 1). Only three are missense mutations which are localized within the lipase domain. The p.D224G is the first missense mutation outside of lipase domain.

2. Missense mutation (p. D224G)

Using whole exome sequencing, the authors identified a novel pathogenic homozygous mutation in the SERAC1 gene. This missense mutation changed a aspartic acid to glycine (Figure 1d). The pathogenic role of p.D224G is supported by in silico analysis, the conservation of the mutant amino acid residue (Figure 1d), and the accumulation of cholesterol (Figure 1e).

Figure 1. Localization of the D224 mutation across different species (d). Intracellular cholesterol transport in fibroblasts sourced from healthy individuals and SERAC1 patients. U1866A acts as a hindrance to cholesterol transport. (Rodríguez-García et al., 2016)Figure 1. The position of D224 mutation in various species (d). Intracellular cholesterol trafficking in fibroblasts derived from healthy individual and the SERAC1 patients. U1866A is an inhibitor of cholesterol trafficking.

Reference:

  1. Rodríguez-García M E, et al. First missense mutation outside of SERAC1 lipase domain affecting intracellular cholesterol trafficking. Neurogenetics, 2016, 17(1): 51-56.
For Research Use Only. Not for use in diagnostic procedures.
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