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Updated: May 13, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Next-Generation Whole-Exome Pattern: Advanced Methods and Clinical Significance
Sumel Ashique1, Anas Islam2, Navjot Kaur Sandhu3
1School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab-144411, India.
Next-generation sequencing (NGS) revolutionizes gene discovery for rare hereditary disorders. Whole-exome sequencing (WES) via NGS accelerates diagnosis and identifies novel disease-causing mutations, enhancing molecular diagnostics.
Area of Science:
- Genomics
- Molecular Biology
- Clinical Diagnostics
Background:
- Next-generation sequencing (NGS) is a transformative DNA sequencing method.
- NGS technologies like whole genome sequencing (WGS) and whole exome sequencing (WES) are crucial for gene discovery.
- NGS enables individual genome sequencing and identification of disease-causing mutations.
Purpose of the Study:
- To explore the clinical diagnostic applications of next-generation exome sequencing (NGS).
- To investigate the challenges associated with processing NGS data in clinical settings.
- To highlight the role of NGS in identifying genetic variants for hereditary disorders and epileptic syndromes.
Main Methods:
- Utilizing next-generation sequencing (NGS) for whole-exome sequencing (WES).
- Applying NGS for targeted gene panels and whole genome sequencing (WGS).
- Analyzing NGS data to detect causative mutations, including de novo, new, and familial variants.
Main Results:
- Whole-exome sequencing (WES) using NGS is cost-effective and increasingly adopted in human genetics.
- NGS significantly reduces diagnostic timelines for patients with rare disorders.
- NGS aids in discovering novel genes responsible for diseases and uncovering mutations linked to epileptic syndromes.
Conclusions:
- NGS, particularly WES, is a powerful tool for molecular diagnosis in clinical genetics.
- The application of NGS in clinical diagnostics offers potential for identifying causative mutations across diverse phenotypes.
- Addressing data processing challenges is key to maximizing the utility of NGS in clinical diagnostics.
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