Genomics Learning Center

Tertiary Analysis — From Variants to Clinical Decisions

While sequencing and alignment produce the data, tertiary analysis provides the meaning. It is the final, most critical stage of the NGS pipeline where genetic variants are annotated, filtered, and interpreted to deliver actionable medical insights.

What is Tertiary Analysis?

In the context of Next-Generation Sequencing (NGS), tertiary analysis is the process of translating a raw list of genetic variations (typically in a VCF file) into a clinical diagnosis or research conclusion.

If secondary analysis is about "what is there," tertiary analysis is about "what does it mean for the patient?" It involves comparing variants against massive genomic databases, applying professional guidelines (ACMG/AMP), and filtering out the background noise of common genetic variation.

The NGS Pipeline Context

1

Primary Analysis

Base calling & FASTQ generation (The Sequencer)

2

Secondary Analysis

Alignment & Variant Calling (BAM/VCF)

3

Tertiary Analysis

Interpretation & Reporting (The Diagnostic)

The 4 Pillars of Interpretation

Professional tertiary analysis genomics workflows consist of four interconnected stages that transform VCF data into medical certainty.

Annotation

Layering variant data with external knowledge: ClinVar classifications, gnomAD population frequencies, and gene impact scores.

Filtering

Reducing ~4 million variants to a handful of candidates by excluding benign, common, and non-coding variations that don't match the phenotype.

Classification

Systematically scoring variants against ACMG (Germline) or AMP (Somatic) guidelines to determine pathogenic potential.

Interpretation

The final step of clinical reporting, where findings are synthesized with the patient's history to provide a definitive medical diagnostic.

The Interpretative Bottleneck

While secondary analysis has been largely commoditized and automated, tertiary analysis remains the primary time-sink in the clinical genomics workflow.

Scale Disconnect

Sequencers can run hundreds of genomes a week, but many labs can only interpret 10-20 cases a week due to manual analysis hurdles.

Regulatory Rigor

Accreditation bodies (CAP/CLIA) require full audit trails and deterministic results, making "black box" automated tools risky without professional oversight.

Mastering the Interpretation

"The goal of advanced variant interpretation pipelines is to move from evidence collection to evidence application."

Interpretative EfficiencyManual vs. Automated
ClinVar Sync
ACMG Scoring
View Interpretation Workflow

Secondary vs. Tertiary Analysis

Secondary Analysis

"Is the variant present?"

  • • FASTQ → BAM → VCF
  • • Alignment & QC
  • • SNV/Indel/CNV Calling
Tertiary Analysis

"Is the variant clinically relevant?"

  • • VCF → Clinical Report
  • • Annotation & Filtering
  • • ACMG/AMP Classification

Bridging the Analysis Gap

While NGS tertiary analysis is often treated as a separate manual step, the most efficient laboratories treat secondary and tertiary analysis as a single continuous pipeline.

Golden Helix bridges this gap by offering Sentieon for industry-leading secondary analysis and VarSeq for world-class tertiary analysis in a unified ecosystem. This prevents "data silos" and ensures that clinical interpretation always has access to the underlying quality metrics of the sequencing run.

Learn more about the full NGS workflow

The Industry's Most Trusted Tertiary Analysis Platform

Golden Helix's VarSeq is specifically engineered to handle the complexity of clinical interpretation, providing a scalable, deterministic environment for labs of all sizes.

VSClinical Guided Scoring

Standardize your variant interpretation with guided workflows for ACMG and AMP guidelines. Surface evidence automatically and reduce interpretation time by over 80%.

Clinical Interpretation →

VSPipeline Automation

Automate the "hands-off" portion of your tertiary analysis, from VCF import and annotation to automated filtering and draft report generation.

Automation Details →

Tertiary Analysis FAQ

What are the main steps in a tertiary analysis pipeline?

The process typically involves: 1) Annotation with genomic databases, 2) Filtering based on population frequency and quality, 3) Scoring variants according to ACMG/AMP guidelines, and 4) Synthesizing findings into a clinical report.

Why is tertiary analysis considered the most difficult stage?

Unlike secondary analysis, which is primarily computational, tertiary analysis requires deep medical and genetic knowledge. It involves weighing conflicting evidence from clinical literature and databases to make a definitive pathogenicity classification.

How does tertiary analysis differ between germline and somatic testing?

Germline analysis (inherited disease) follows ACMG guidelines, focusing on pathogenicity. Somatic analysis (cancer) follows AMP/ASCO/CAP guidelines, focusing on therapeutic relevance, actionability, and prognostic significance.

What role does a "Knowledgebase" play in tertiary analysis?

A clinical knowledgebase (like VSWarehouse) allows a laboratory to store and reuse variant assessments. If a lab sees the same variant in multiple patients, they can leverage previous interpretations to ensure consistency and speed up analysis.

Tertiary Analysis Insights

Deep dives into variant interpretation, clinical guidelines, and interpretation workflow optimization.

Master Your Tertiary Analysis Workflow

Join thousands of clinical professionals using VarSeq to automate variant interpretation and deliver reliable diagnostic insights.

ACMG/AMP Guidelines Built-in
100% Deterministic Pipelines
ISO 13485 Certified QMS