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. 2022 Apr 4;24(8):1307–1367. doi: 10.1093/europace/euac030

Table 4.

Different methods of genetic testing

Technology Strengths Limitations Example diagnostic application
Sequencing approaches
Sanger sequencing
  • Accuracy

  • Low cost per reaction

  • Not scalable

  • Insensitive to large SVs

  • Single gene test

  • Single variant testing—for a pre-specified variant during cascade family evaluation

Panel sequencing
  • Balances reasonably comprehensive coverage (e.g. all genes associated with a particular phenotype) against cost

  • Often highly optimized for complete and uniform capture of region of interest

  • Usually exonic only

  • Needs updating as knowledge changes (e.g. new gene-disease associations discovered)

First line diagnostic test for proband
WES
  • Comprehensive coverage of all genes

  • Off-the-shelf design

  • Can run a single wet-lab workflow, and introduce specificity at analysis stage

  • Can update analysis to incorporate new knowledge without regenerating data—adaptable

  • Enables analyses for secondary findings

  • Larger target requires more sequencing (c.f. panels)

  • May be less optimized than more focused panel

  • More costly and complex to store and process data (c. 10–100× more data than panel)

  • Will not detect non-coding variants

  • May not detect all variant classes

  • Diagnosis in proband for very heterogeneous conditions (e.g paediatric and syndromic cardiomyopathies)

  • Second line test if panel negative in specific circumstances, for example with informative family structure

WGS
  • Comprehensive genetic characterization—all genes, all elements, all variant types

  • Will also detect common variants for PRS, pharmacogenetics and other applications

  • Enables analyses for secondary findings

More costly and complex to store and process data (∼100× more data than WES)
  • Diagnosis in proband for very heterogeneous conditions

  • Second line test if panel negative

  • Definitive and future-proof genetic characterization if funds permit—e.g. hold data in medical record for iterative targeted interpretation according to clinical needs

Non-sequencing approaches
Allele-specific PCR Quick, cheap, accurate Pre-specified variants only Testing a single variant in a large family (more likely Sanger sequencing now)
Array comparative genomic hybridization
  • Cheap screening for SVs/CNVs

  • High-resolution (compared with cytogenetic approaches)

Insensitive to other variant classes Screening for structural variants, including aneuploidy, e.g. in structural congenital heart disease
Droplet digital PCR Low cost, high-sensitivity, detection of genome dose for SV/CNV detection at a pre-specified locus Scalability limited by multiplexing of pre-specified PCR amplicons targeting regions of interest Confirmation of putative CNVs detected in high-throughput sequence data
DNA SNP arrays
  • Genome wide

  • Relatively cheap

  • Pre-specified variants only

  • Accuracy poor for many rarer variants

  • Recreational ancestry analysis

  • Polygenic risk

  • Pharmacogenetics

CNV, copy number variant; PCR, polymerase chain reaction; PRS, polygenic risk score; SNP, single-nucleotide polymorphism; SV, structural variant; WES, whole-exome sequencing; WGS, whole-genome sequencing.