Guides for Sequencing, Fragment and Forensics

STR Analysis vs. SNP Genotyping: When to Use Each

Written by SoftGenetics Team | Aug 12, 2025 1:29:14 PM

Choosing between STRs and SNPs depends on your research goals. Both offer unique advantages—but not all polymorphisms are created equal.

STRs and SNPs at a Glance

  • STRs (Short Tandem Repeats): Highly variable, 2–6 bp repeats, multi-allelic

  • SNPs (Single Nucleotide Polymorphisms): Single base changes, typically bi-allelic

Comparison Table

Category

STRs

SNPs

Polymorphism Type

Repeats (2–6 bp)

Single nucleotide change

Allele Diversity

High (many alleles per locus)

Low (2–3 alleles)

Mutation Rate

Higher

Lower

Assay Method

CE-based (fragment analysis)

Sequencing or genotyping arrays

Best For

Forensics, kinship, heterogeneity

Population structure, fine mapping

Expert Considerations

STRs:

  • Better for detecting complex mixtures or partial profiles
  • More informative in low-SNP-diversity populations
  • Prone to stutter; use software with motif-specific stutter modeling

SNPs:

  • Offer consistent performance across platforms
  • Ideal for high-throughput and genome-wide coverage

GeneMarker®HID includes mixture deconvolution, allele frequency tables, and SNP + STR panel support, enabling labs to combine markers when appropriate. GeneMarker® includes an embedded SNaPshot® module and panels or analysis of CE SNP chemistries.

Hybrid Approaches

Modern forensic and biodiversity labs often combine STRs and SNPs for greater discriminatory power. This is especially useful for:

  • Distant kinship determination

  • Admixture analysis

  • Low-template or degraded samples

Tools from SoftGenetics

  • GeneMarker®HID: STR/SNP workflows with robust visualization, match scoring, and mixture handling  Fully validated for forensic workflows and customizable for research use
  • GeneMarker® STR and SNaPshot specific panels and analysis

Start your journey with a free  35-day trial of SoftGenetics software and experience the difference in variant detection analysis.