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Understanding the Use of Genetic Tools for Diagnosis and Conservation

Understanding the Use of Genetic Tools for Diagnosis and Conservation

Imagine a world where genetic tools don’t just unlock secrets about diseases but also save endangered species and reshape our understanding of life itself. That’s the power of genetic analysis today.

By November 2022, the Genetic Testing Registry (GTR) has recorded 129,624 genetic tests in the U.S. and 197,779 globally. More than 90% of these tests are for clinical use. This explosion of genetic data is giving us deeper insights than ever before—whether it’s diagnosing genetic conditions or unlocking the mysteries of biodiversity.

With breakthroughs like CRISPR and advanced genomic sequencing, we’re not just observing life’s blueprint; we’re rewriting it. The possibilities for transforming healthcare and conservation are limitless, and we’re just scratching the surface.

Let’s explore how genetic tools are transforming research and conservation.

Genetic Tools in Diagnosis

Genetic tools help detect diseases early, uncover their causes, and personalize treatment. Genetic testing became a diagnostic tool in the 1970s, starting with newborn screening for phenylketonuria (PKU). By the 1980s, it expanded to inherited conditions like sickle cell anemia and cystic fibrosis. The 1990s saw advancements in molecular genetics and DNA sequencing, particularly in cancer and inherited metabolic disorders.

Today, next-generation sequencing (NGS) has made genetic tests more powerful and widely used for diagnosing inherited disorders, cancer, heart diseases, neurological conditions, and rare diseases.

Types of Genetic Tests Used in Diagnosis

There are different types of genetic tests. Such as, 

Single Gene Testing
This test looks for genetic changes in one specific gene. It’s used when changes in a single gene cause a condition.

  • When used: For diseases caused by a single gene mutation.
  • Examples: Duchenne muscular dystrophy and sickle cell disease.

Genetic Testing Panels
These tests examine multiple genes at once. They’re used when changes in several different genes can cause a condition.

  • When used: When multiple genes may contribute to a disease.
  • Examples: Hereditary breast cancer, epilepsy, primary immunodeficiency.

Large-Scale Genomic Testing
These tests scan large portions of a person’s DNA to find genetic changes.

  • Exome Sequencing: Looks at all the genes or only those related to medical conditions.
    • When used: Recommended if a complex medical condition or rare disorder is suspected but other tests have not found a cause.
  • Whole Genome Sequencing: Scans all of a person’s DNA, not just genes.
    • When used: Used for rare or complex disorders when exome sequencing hasn’t provided answers.

Panel Focus Diagnostic Testing

Panel-focused diagnostic testing targets a specific group of genes associated with particular diseases. Unlike whole genome sequencing (WGS), which analyzes the entire genome, panel testing focuses only on genes related to a certain condition, making it faster and more cost-effective.

Types of Panels

  • Neurological Disorder Panels: For conditions like epilepsy and Alzheimer’s.
  • Cancer Panels: For cancers in breast, colon, and lung.
  • Cardiovascular Panels: For inherited heart conditions like hypertrophic cardiomyopathy.
  • Metabolic Disease Panels: For disorders like PKU and cystic fibrosis.
  • Rare Disease Panels: For conditions affecting specific systems, like immunodeficiencies.

Advantages

  • Cost-Effective: More affordable than WGS or whole exome sequencing (WES).
  • Faster Results: Results come quicker due to targeted gene sequencing.
  • High Sensitivity: More accurate for diseases with known genetic causes.
  • Targeted Approach: Ideal for diagnosing specific diseases quickly.

Limitations

  • Limited Scope: May miss mutations in genes outside the panel.
  • Not for Complex Cases: Best for diseases with known genetic causes.
  • Risk of False Negatives: It may miss mutations that don’t fall within the panel’s focus.

Disease-specific or group-specific panels are especially useful in situations where a particular genetic disorder is suspected, providing a clear path to diagnosis.

Exome-Based Diagnostics (Exome Sequencing – WES)

Exome sequencing zooms in on the protein-coding parts of our DNA—the sections that actually make proteins. It’s especially useful when dealing with tough cases, like patients with multiple organ issues or rare diseases that don’t fit neatly into a single diagnosis. By focusing on the most important parts of the genome, WES helps pinpoint potential genetic causes more quickly and accurately.

Clinical Interpretation of Genetic Variants

For WES to be effective, the clinical interpretation of genetic variants is key. After identifying a mutation, experts must compare these findings with the patient’s clinical symptoms using resources like Human Phenotype Ontology (HPO). 

This helps match the genetic findings with phenotypic abnormalities, guiding doctors in determining the root cause of the disease and deciding on the next steps for treatment or further testing.

Diagnostic Yield and Advantages Over Traditional Methods

  • Diagnostic Yield: WES is highly effective in diagnosing genetic disorders related to protein production, identifying 85% of disease-causing variants within coding regions.
  • Advantages Over Traditional Methods: Traditional methods like biopsy or clinical tests may miss subtle mutations or only address symptoms. WES offers a more comprehensive and efficient way to identify the genetic causes of disease, leading to faster diagnosis and personalized treatment.

Over the past few years, advances in next-generation sequencing (NGS) technologies have greatly improved the speed and accuracy of exome sequencing. 

Tools like GATK (Genome Analysis Toolkit) and VarSeq have been optimized to better detect variants in low-coverage areas and reduce false positives or negatives. Also, there has been significant progress in genetic variant interpretation and the use of databases like ClinVar and HGMD (Human Gene Mutation Database). 

Tools like InterVar and VarSome assist in clinical variant interpretation, providing automated annotations and guidance on whether a variant is likely to cause disease. 

Collaborative databases like The ExAC (Exome Aggregation Consortium) and gnomAD (Genome Aggregation Database) have grown, aiding in the identification of novel mutations associated with diseases.

These resources have expanded, helping clinicians make more informed decisions about the clinical significance of specific variants. 

Genome-Based Diagnostics (Whole Genome Sequencing – WGS)

WGS sequences the entire genome, including non-coding regions, making it the most comprehensive genetic test. It is especially useful for complex conditions where WES does not provide a clear diagnosis.

Clinical Interpretation of Genetic Variants

Just like with WES, interpreting genetic variants from WGS is key. It’s not just about the genetic data itself but also about understanding the bigger picture—things like the patient’s medical history and symptoms. 

WGS stands out because it can also spot mutations in non-coding regions, giving a fuller picture of how genetic changes could affect a person’s health and disease progression.

Diagnostic Yield and Advantages Over Traditional Methods

However, this yield is context-dependent and can vary based on the condition. It can identify mutations in non-coding regions that might affect gene regulation or expression, providing a deeper insight into complex diseases.

  • Advantages Over Traditional Methods: WGS is a step above traditional biopsy or clinical testing, as it provides a holistic view of the genome. It can reveal mutations that other tests miss, leading to more accurate diagnoses and helping identify genetic changes that traditional methods might miss.

Recently, new long-read sequencing technologies, such as PacBio HiFi sequencing and Oxford Nanopore Technologies (ONT), have improved the detection of structural variations and complex mutations. This has improved the diagnosis of conditions like Huntington’s disease and muscular dystrophy.

Also, Oxford Nanopore’s MinION and PromethION have enabled real-time sequencing, allowing genomic data to be analyzed as it’s being generated. This technology is already used in COVID-19 variant tracking and infectious disease surveillance.

WGS has become faster, cheaper, and more precise in the last five years thanks to advances in long-read sequencing, AI-powered variant analysis, and real-time sequencing. These developments drive precision medicine, improve diagnostics for rare diseases, cancer, and infectious diseases, and make genomic medicine more accessible worldwide.

Comparison: Exome vs. Genome-Based Diagnostics

FeatureExome Sequencing (WES)Whole Genome Sequencing (WGS)
ScopeProtein-coding regionsEntire genome (coding + non-coding)
Diagnostic Yield85% in coding regionsHigher yield
TimeFasterSlower
CostLowerHigher
Use CaseRare diseases, specific disordersComplex or multi-system diseases
AdvantagesEfficient, targeted, and focused on coding regionsComprehensive, detects mutations in non-coding regions
Key BenefitIdeal for protein-related diseasesComprehensive, detects regulatory mutations
Diagnostic ToolsBest for known genetic conditionsBest for rare and complex cases

Trio Sequencing in Diagnostic Processes

Trio sequencing analyzes a patient’s and biological parents’ DNA to detect genetic mutations. It’s especially valuable for diagnosing rare diseases where inheritance patterns are unclear. Doctors can determine if a mutation is inherited or new by comparing the child’s DNA with both parents’ (de novo).

How Trio Sequencing Works

  • Step 1: Collect DNA Samples
    DNA is collected from the patient and both biological parents. This is typically done through a blood sample or a buccal swab (from the inside of the cheek).
  • Step 2: Sequencing
    The DNA is sequenced using exome sequencing (WES) or whole genome sequencing (WGS). The sequencing focuses on the patient’s genome while comparing it to the parents’ genomes.
  • Step 3: Identifying Variants
    Genetic variants (mutations) in the patient’s DNA are identified and analyzed. The analysis focuses on whether these mutations are inherited from one or both parents or if they are de novo, which means they occurred in the patient’s DNA but not in the parents’.

Benefits of Trio Sequencing

  1. Identifying Inherited vs. De Novo Mutations
    Trio sequencing helps distinguish between mutations passed from the parents and new mutations that arise in the patient’s genome. This is particularly helpful in cases where:
    • The patient has multiple abnormalities.
    • There’s no clear family history of the disease.
  2. Better Diagnostic Accuracy
    With trio sequencing, doctors get a clearer picture of the genetic causes of the disease. By comparing the genomes of all three individuals, doctors can better interpret the findings and make more accurate diagnoses.
  3. Improved Variant Interpretation
    Analyzing the family’s genetic history helps determine whether the mutation is likely to be pathogenic or benign. This additional context makes it easier to differentiate between variants that cause disease and those that are harmless.
  4. Faster Diagnosis
    By using the parents’ genetic data as a reference, trio sequencing can speed up the diagnostic process, especially when traditional methods like single-gene testing or panels don’t provide clear answers.

Trio sequencing is often used in cases where a patient has autism spectrum disorder (ASD) but no known genetic cause. Trio sequencing is useful in cases of ASD, particularly when no clear genetic cause is evident. However, it’s important to note that ASD genetics is complex and multifactorial, so trio sequencing may not always identify a causative mutation.

When a patient has a complex or multi-system disorder, trio sequencing can help uncover the underlying genetic cause. It’s particularly beneficial when previous tests or other diagnostic approaches have failed.

Conclusion

Genetic tools have transformed diagnosis and conservation efforts, providing deeper insights into genetic diseases and biodiversity protection. Advances in NGS, AI-driven variant analysis, and real-time sequencing continue to enhance precision medicine. As technology advances, genomic diagnostics will play a growing role in personalized healthcare and conservation strategies.

At Biostate AI, we provide RNA sequencing solutions that give researchers and clinicians high-quality genetic insights at a fraction of the cost. Our technology allows scientists to analyze gene expression easily, uncover disease pathways, and speed up discoveries in precision medicine. As genomic diagnostics continue to evolve, Biostate AI has the tools needed to shape the future of personalized healthcare and genetic research.

Ready to take your research to the next level? Contact us today for a personalized quote and see how our solutions can help improve your clinical outcomes.


FAQs

1. What is the difference between exome sequencing and whole genome sequencing?

Exome sequencing focuses on protein-coding regions of the genome, while whole genome sequencing analyzes the entire genome, including non-coding regions. WGS provides a more comprehensive view and higher diagnostic yield.

2. How can genetic testing help diagnose rare diseases?

Genetic testing, especially exome and genome sequencing, can identify mutations causing rare diseases that may not be detected through traditional methods, enabling faster and more accurate diagnoses.

3. What is trio sequencing, and when is it used?

Trio sequencing involves analyzing the DNA of the patient and both parents to identify inherited or new mutations. It’s commonly used for rare diseases or complex genetic conditions where the inheritance pattern is unclear.

4. Are genetic panels effective for diagnosing specific diseases?

Yes, genetic panels target specific sets of genes related to a condition, making them cost-effective and faster for diagnosing known diseases, such as cancer, epilepsy, or cardiovascular disorders.

5. How can Biostate AI assist in genetic diagnostics?

Biostate AI offers advanced RNA sequencing solutions, providing high-quality, cost-effective insights to analyze gene expression, uncover disease mechanisms, and enhance the accuracy of genetic diagnostics.

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