The human genome has approximately three billion base pairs, from which about one to five percent are translated into significant proteins. Any mutations that occur in these proteins result in phenotypic consequences. WGS and WES are solutions to find these malfunctions in the genome.
There are significant differences between WGS and WES. These are discussed below.
Whole genome sequencing is used to determine the order of the nucleotides present in the DNA. It can cover the entire human genome, including the
WGS has a reliable coverage of the sequences as it has an efficient hybridization capacity.
It allows us to examine the regulatory regions like
WGS has no reference bias.
This method's library preparation does not require PCR amplification. This reduces any potential GC bias.
WGS has an exceptional coverage uniformity. It enables us to sequence regions of the genome with low sequence complexity.
There is no limit on the read size for WGS. Thus it can read long sequences in one go.
Whole
This sequencing is targeted to exons. Therefore, it reads less than two percent of the genome. This reduces the cost of sequencing the targeted protein region.
Less sequencing region means less storage and analysis costs are required.
The lesser cost allows us to take multiple samples which can be sequenced. This enables us to compare a large population.
In conclusion, a general difference between the two technologies is given below:
Characteristic | WES | WGS |
Cost | It's less expensive. | It's more expensive. |
Multiple samples | It's easy to sequence multiple samples. | It's multiple sequences require a lot of resources. |
Storage capacity | It requries less storage. | It requires more storage. |
Reliable coverage | It's less reliable as it leaves out regions. | It's more reliable as hybridization efficiency is better. |
Examination of regulatory regions | It covers fewer regions like promoters. | It covers all parts of the genome, including structural variations, indels, exons, and introns. |
Reference bias | It can produce false negative SNV calls due to preferentially enriched alleles. | It does not suffer from referential bias. |
PCR amplification | It requires PCR amplification due to the bulk input amount needed to capture the DNA. | It does not require PCR amplification during the preparation of the library. |
Coverage uniformity | It produces off-target capture effects due to regions of low sequence complexity. | It has a better coverage uniformity. |
Read size | It has an input size limitation, smaller reads. | It can take large-sized inputs. |
As seen from the table, WGS is preferred if there are no constraints on time and storage capacities. It is better than WES in most regards. WES proves to be fruitful if quick results are needed.
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