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Table 10 Pros and cons of arrays versus whole genome sequencing [49]

From: Establishing analytical validity of BeadChip array genotype data by comparison to whole-genome sequence and standard benchmark datasets

Feature

SNP arrays (GSA)

WGS

Cost

Lower cost

Higher cost

Genomic coverage

Best for variants for which DNAs of all genotype combinations are available, i.e., not robust for rare variants

Appropriate for detection of nearly all genetic variation in the genome depending on the depth of sequencing, i.e., not robust for difficult to sequence regions

Requires prior knowledge of the variant, i.e., unable to detect private variants not previously reported

Reduced accuracy in genomic regions of low complexity

Reduced accuracy in genomic regions of low complexity

Analyses

Well established analytical protocols and tools for data analyses

High computational costs and greater analytical complexity

Larger multiple testing burden when conducting single-variant tests

Greater costs to store, process, analyze and interpret the resulting data

Suitability

Screening

Diagnostic testing

Analyzing known or candidate associations in large cohorts

Detecting and fine-mapping rare variants

Detecting low-frequency, common variant associations in large sample sizes

Detecting ultra-rare risk variants when it becomes economically viable to perform WGS at a very large scale