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Updated: May 9, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
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Exome sequencing analysis: a guide to disease variant detection.

Ofer Isakov1, Marie Perrone, Noam Shomron

  • 1Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Methods in Molecular Biology (Clifton, N.J.)
|July 23, 2013
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Summary

Whole exome sequencing (WES) aids rare genetic disorder research. This guide details WES variant analysis, from sample selection to prioritizing mutations for disease-causing variant detection.

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Area of Science:

  • Genomics
  • Medical Genetics
  • Bioinformatics

Background:

  • Whole exome sequencing (WES) is a valuable tool for investigating rare genetic disorders.
  • Analyzing the vast number of variants identified by WES presents a significant challenge for disease-causing variant detection.

Purpose of the Study:

  • To provide a comprehensive guide to the steps involved in analyzing and interpreting WES data for rare genetic disorders.
  • To outline strategies for variant identification, annotation, classification, and prioritization.

Main Methods:

  • Discusses sample selection and technical considerations for WES.
  • Details variant identification and annotation using allele frequency, genomic location, and predicted severity.
  • Explains variant classification and prioritization based on annotations.

Main Results:

  • Provides a framework for systematic analysis of WES data.
  • Highlights the importance of annotation for prioritizing variants.
  • Reviews gene annotations to link variants to phenotypes.

Conclusions:

  • Effective analysis and interpretation of WES data are crucial for identifying disease-causing mutations.
  • A structured approach to variant filtering and prioritization enhances the diagnostic yield of WES.
  • Integrating variant data with phenotypic information is key to discovering causative genetic variants.