Whole-exome sequencing

Focus on the protein-coding regions of the genome to detect exonic variants and uncover genetic influences on disease and population health

Exome Sequencing

Whole-exome sequencing, also known as exome sequencing, is a widely used next-generation sequencing (NGS) method that involves sequencing the protein-coding regions of the genome. The human exome represents less than 2% of the genome, but contains ~85% of known disease-related variants,1 making this method a cost-effective alternative to whole-genome sequencing.

Exome sequencing using exome enrichment can efficiently identify coding variants across a broad range of applications, including population genetics, genetic and complex disease research, and cancer studies.

Whole-exome sequencing in 3 simple steps

Investigate the protein-coding regions of the genome with a comprehensive workflow solution.

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  • Identifies variants across a wide range of applications
  • Achieves comprehensive coverage of coding regions
  • Provides a cost-effective alternative to whole-genome sequencing (WGS), with 4–5 Gb of sequencing per whole human exome compared to ~90 Gb per whole human genome
  • Produces a smaller, more manageable data set for faster, easier data analysis compared to WGS approaches
Scientist looking at sequencing instrument computer

Exome sequencing is a cost-effective approach when whole-genome sequencing is not practical or necessary. Sequencing only the coding regions of the genome enables researchers to focus their resources on the genes most likely to affect phenotype, and offers an accessible combination of turnaround time and price.

Compare whole-exome and whole-genome sequencing

Whole-exome sequencing detects variants in coding exons, with the capability to expand targeted content to include untranslated regions (UTRs) and microRNA for a more comprehensive view of gene regulation. Whole-exome sequencing typically involves using hybrid-capture enrichment approaches to capture the protein-coding sequences. DNA libraries can be prepared in as little as 1 day and require only 4–5 Gb of sequencing per exome.

 

Whole-exome sequencing solutions

Explore comprehensive workflow offerings for whole-exome sequencing, including world-class support from Illumina.​

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Whole-exome solutions brochure cover

Illumina DRAGEN secondary analysis was developed to address important challenges associated with analyzing NGS data for a range of applications, from whole-exome sequencing to genome and transcriptome sequencing, methylome studies, and more. This software suite rapidly processes NGS data and enables tertiary analysis to drive insights. The available tools make up a highly accurate, comprehensive, and efficient solution that enables labs of all sizes and disciplines to do more with their genomic data.

Learn more about DRAGEN secondary analysis
Efficient exome and multiomics data analysis for COPD study

Scientists discuss how DRAGEN pipelines and Illumina Connected Analytics helped them analyze exome sequencing data as well as whole-genome, transcriptome, and metagenome data for a chronic obstructive pulmonary disease (COPD) research project.

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Scientists discuss exome sequencing projects

Dr Irina Iordanescu from Regina Maria Genetic Laboratory
Implementing whole-exome and targeted sequencing assays

Dr Irina Iordanescu from Regina Maria Genetic Laboratory explains how her lab adopted NGS-based whole-exome and targeted sequencing, and how NGS helped speed up and expand sample processing while reducing costs.

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Scientist Using Sequencing Instrument
Using exome and RNA-Seq to study rare genetic diseases

Whole-exome and RNA sequencing prove beneficial in uncovering mutations and pathways associated with rare disease.

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Breast Cancer
Tumor exomes reveal new insights into cancer biology

Read how researchers perform WES from tumor biopsy samples to better understand tumor onset and progression and identify cancer-related biomarkers.

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Empowering access for groundbreaking genomic discoveries

Illumina benchtop sequencing systems are making NGS more accessible to laboratories worldwide. Explore a wide variety of applications and methods, from whole-exome sequencing to microbial sequencing, RNA-Seq, single-cell sequencing, and more.

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Benchtop Applications eBook cover
NextSeq 1000 & 2000 Systems

Groundbreaking benchtop sequencers allow you to explore new discoveries across a variety of current and emerging applications, with higher efficiency and fewer restraints.

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Illumina DNA Prep with Exome 2.0 Plus Enrichment
Illumina DNA Prep with Exome 2.0 Plus Enrichment

A high-performance, fast, and complete whole-exome sequencing kit.

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BaseSpace Sequence Hub
BaseSpace Sequence Hub

Data management and simplified bioinformatics for labs getting started and for rapidly scaling next-generation sequencing (NGS) operations.

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Exome sequencing for cancer research
Cancer Cells

This method provides useful information about coding mutations associated with tumor progression. By sequencing less than 2% of the genome, it is possible to sequence to higher depth more economically. Learn more about cancer exome sequencing.

Rare disease variant analysis
Rare disease researchers pipetting

NGS-based exome analysis can help scientists uncover variants linked to rare and undiagnosed disorders. Learn more about rare disease genomics.

Complex disease genomics
Complex disease studies

Whole-exome sequencing is a common approach to finding causal variants in cases of complex disorders. Learn more about complex disease research.

RNA exome capture sequencing
Scientist in lab with HiSeq X

Achieve cost-effective, accurate, and sensitive RNA exome analysis of even difficult samples without sacrificing gene fusion discovery power. Learn more about RNA exome capture sequencing.

DNA helix
Gaining insights into novel variants

Regeneron Genetics Center scientists perform exome sequencing on clinical research data sets to identify relevant genetic associations.

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DNA Sequencing Data Analysis
DNA sequencing data analysis

Explore user-friendly tools for intuitive analysis of DNA sequencing data.

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NGS to Study Genetics of Brain Development
Genetics of neurological disorders

Researchers use exome sequencing, arrays, and other methods to identify gene variants linked to intellectual disability.

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Germline CNV Analysis App Note
Germline CNV analysis

See a streamlined whole-exome sequencing workflow for germline CNV analysis, from library preparation to insights.

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Kit Selector Tool
Library Prep and Array Kit Selector

Determine the best kit for your needs based on project type, starting material, and method or application.

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Brain neural network
Genetic contributions of cognitive control

Exome sequencing helps researchers identify variants for an array designed for ADHD, autism, and schizophrenia studies.

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Scientist pipetting
Choosing an NGS company

Seek out a best-in-class NGS company with user-friendly bioinformatics tools and trusted support and service.

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References
  1. van Dijk EL, Auger H, Jaszczyszyn Y, Thermes C. Ten years of next-generation sequencing technology. Trends Genet. 2014;30:418-426.

*Data calculations on file. Illumina, Inc., 2015