WGS, SNP test and WES
Genome
SNP arrays, whole exome sequencing (WES) and whole genome sequencing (WGS) cover different parts of the genome. WGS usually provides the broadest sequence dataset, but does not resolve every region reliably or automatically answer every medical question. The right data depend on the question, laboratory method, coverage and intended analysis.
Key points
- WGS typically covers more sequence than a SNP array or WES, but not every position is equally reliable.
- A SNP array can be sufficient for selected markers or individual rsID questions.
- WES focuses on coding regions; the appropriate method depends on the question.
The short recommendation
For broad downstream sequence analysis, WGS generally provides more information than a SNP array or WES. That does not make WGS the best or most economical choice for every question: an array may be enough for known markers, while WES can target coding genes. Before sequencing, clarify the purpose, quality requirements, cost, privacy and access to the resulting data.
SNP test: fast, but selected
A SNP array assays a predefined set of positions. It can be useful for particular ancestry models or for checking measured markers. Positions not included were not directly assayed; some providers add imputed estimates, which should be identified as such. Whether an existing export is sufficient depends on whether it contains the required markers at adequate quality.
WES: stronger than SNP, but narrower than WGS
WES targets exons, the regions that are usually translated into proteins after RNA splicing. Actual coverage varies with the capture design and laboratory. Non-coding regions and some structural or repeat variants are less comprehensively assessed. WES can suit a well-defined question, but it is not equivalent to whole-genome sequencing.
WGS: one dataset for many later questions
WGS captures sequence information beyond exons and can support a wider range of downstream analyses. Results still depend on sequencing depth, sample quality, reference and analysis method. Difficult regions, repeats and structural changes can remain incomplete or ambiguous even in WGS data. Whether a new question can be answered without another laboratory analysis depends on the available files and the method required.
Which files should you keep?
FASTQ contains sequenced reads and their quality values. BAM or CRAM contains aligned reads; VCF contains variants called from the data. These files are not interchangeable, and their suitability depends on the workflow. Ask the provider which original and companion files are available, which reference was used and how the files can be stored securely.
Limits of the recommendation
WGS can provide a suitable basis for broad sequence analysis, but it does not automatically produce a clinically actionable result. Quality control, coverage, laboratory method, privacy, cost, file access and the specific question still matter. A WGS dataset replaces neither medical diagnosis nor clinical confirmation when a result could have medical consequences.
What Genome measures. This wiki page compares the regions typically covered by SNP arrays, WES and WGS, and explains what FASTQ, BAM/CRAM and VCF files contain.
Related topics
Sources
- 1Genome Wiki rsIDs, microarray and SNP lookup. /wiki/snp/microarray-snp/
- 2Genome Wiki Reference genome and builds. /wiki/grundlagen/referenzgenom-und-builds/