Whole-Exome vs Whole-Genome Sequencing: What Each Covers
Whole-exome sequencing reads the roughly 1 to 2 percent of the genome that codes for protein; whole-genome sequencing reads essentially all of it. Both are broader than targeted panels, and the choice between them involves trade-offs in coverage, cost and the questions being asked.
Quick Answer
Whole-exome sequencing reads the roughly 1 to 2 percent of the genome that codes for protein; whole-genome sequencing reads essentially all of it. Both are broader than targeted panels, and the choice between them involves trade-offs in coverage, cost and the questions being asked.
What Exome Sequencing Reads
Whole-exome sequencing uses capture probes to enrich the protein-coding exons before sequencing. Because it targets a small fraction of the genome, it can achieve deep coverage of coding regions at moderate cost.
It reliably detects coding point mutations and small insertions and deletions, and gives a genome-wide view of the coding mutation load, but its capture is uneven and it covers non-coding and structural variation poorly.
What Genome Sequencing Adds
Whole-genome sequencing has no capture step, so coverage is more uniform and it includes introns, promoters, regulatory regions and the space between genes.
This makes it better for structural rearrangements, deep-intronic variants that affect splicing, mitochondrial DNA, and mutational-signature analysis. It generates far more data and costs more to run and store.
Use in Cancer
Research tumour studies use both; clinically, targeted panels dominate because they are cheaper, faster and easier to interpret. Whole-genome sequencing is used in some national programmes and for tumours where panels are uninformative.
Tumour mutational burden is defined from whole-exome data in its original form, and panel-based estimates are calibrated against it, which is relevant when comparing values across assays.
Use in Inherited Disease
For rare inherited conditions, whole-exome sequencing has a solid diagnostic yield, and whole-genome sequencing adds incremental diagnoses by catching structural and non-coding variants the exome misses.
Both raise the question of secondary findings in genes unrelated to the reason for testing, which laboratories handle according to consent and policy.
Interpretation Notes
Neither approach guarantees complete coverage; exome capture has gaps and even genome sequencing struggles with highly repetitive regions.
The report should state the method and average coverage, and a negative result is bounded by what was actually sequenced well.
Key Takeaways
- ·Exome sequencing deeply covers coding regions at lower cost but misses non-coding and structural variation.
- ·Genome sequencing has uniform coverage and captures structural, intronic and regulatory variants.
- ·Clinical cancer testing mostly uses targeted panels; genome sequencing is used in specific programmes.
- ·Tumour mutational burden is anchored to exome data, affecting cross-assay comparison.
Put these genes in pathway context
Frequently asked questions
What is the key idea in Whole-Exome vs Whole-Genome Sequencing: What Each Covers?
Whole-exome sequencing reads the roughly 1 to 2 percent of the genome that codes for protein; whole-genome sequencing reads essentially all of it. Both are broader than targeted panels, and the choice between them involves trade-offs in coverage, cost and the questions being asked.
What should be kept with the result or mechanism?
Genome sequencing has uniform coverage and captures structural, intronic and regulatory variants. Clinical cancer testing mostly uses targeted panels; genome sequencing is used in specific programmes. Tumour mutational burden is anchored to exome data, affecting cross-assay comparison.
References
- 1100,000 Genomes Pilot on Rare-Disease Diagnosis in Health Care - Preliminary Report. New England Journal of Medicine, 2021. PubMed
- 2Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels. Journal of Molecular Diagnostics, 2017. PubMed
- 3Establishing guidelines to harmonize tumor mutational burden quantification. Annals of Oncology, 2021. PubMed
- 4Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition. Cell, 2021. PubMed
Continue Reading
Reference Genome Builds: Why GRCh37 vs GRCh38 Appears on Reports
3 min read
Tumour Mutational Burden: How TMB Is Measured
2 min read
Interpreting Copy-Number Changes: Amplification, Gain, Loss and Deletion
3 min read
NGS Panels vs Hotspot Testing: Breadth Versus Focus
3 min read
BAP1 Tumour Predisposition Syndrome
3 min read
BRCA1 and Ovarian Cancer Risk: How to Read a Result
3 min read
Choose your next research step
Move from this explanation into a gene profile, a pathway map, or the next evidence update.
TP53 has 100+ trials currently recruiting on ClinicalTrials.gov. The GeneAnalyses digest summarises the new and changed ones each day.