Why Genomics Labs Are Overpaying for Variant Annotation

Enterprise platforms charge $50–200 per sample for annotation. But the per-sample fee is only part of what labs actually pay. Here's the full cost breakdown — and why it matters more than you think.

The pricing landscape isn't what it appears

A lab director at a mid-size clinical genomics facility told me their annual annotation budget was $680,000. Processing about 60 exome samples per week. That's roughly $218 per sample — not sequencing, not storage. Just annotation.

Here's what the market actually looks like right now:

The $8–20 "internal" row isn't free — it includes bioinformatician time, which is exactly where the hidden costs begin.

The hidden labor cost: your bioinformatician bottleneck

When labs calculate annotation cost, they count the vendor fee. They almost never count the opportunity cost of their bioinformatics team's time — and that's where the real budget bleeds.

A typical annotation workflow for a mid-size lab involves:

• Bioinformatician queues VCFs for batch processing — often daily or weekly batches, not real-time
• Pipeline runs, then results land in an分析师's queue for review and interpretation
• Analyst flagging variants of interest, escalating to senior staff for ambiguous calls
• Manual export into LIMS, email notifications to clinicians

For a 60-sample/week lab, that's 3–5 hours of bioinformatician time per batch cycle. That's roughly 150–250 hours per year. At a fully-loaded bioinformatics salary of $95,000–$130,000, that's $15,000–$35,000 in opportunity cost — pure overhead on top of the vendor fee.

And this isn't counted because it's diffuse. It doesn't show up on an invoice. It's woven into the job, so it becomes invisible.

Clinical turnaround time is where the real cost lives

In clinical genomics, annotation delay isn't just an operational inconvenience — it's a clinical outcome variable. When a clinician is waiting for a variant report to make a treatment decision, the time cost isn't measured in dollars. It's measured in days of uncertainty for the patient.

With manual or batch annotation pipelines, the typical turnaround looks like this:

• Batch queue delay: VCFs batched daily → samples sit 12–24h before processing starts
• Pipeline runtime: 1–4 hours depending on pipeline complexity and queue depth
• Analyst review: 2–6 hours for 100–300 variants per sample
• Senior review escalation: Ambiguous variants add another 4–24h
• Report delivery: Email + LIMS export + clinician notification

Total: 1–3 days from sample upload to clinician receiving a usable report.

Compare that to Baseshift's 2-minute annotation pipeline: the VCF uploads, processes, and the full annotated report is ready before the bioinformatician has finished their coffee. For labs where a 2-day turnaround is acceptable, batch processing is fine. But for time-sensitive cases — rare disease pediatric patients, oncology panels with treatment-dependent results — 2 days is a long time to wait.

The $10 per-sample alternative

Baseshift annotates VCFs at $10 per exome, $25 per whole genome. The annotation includes ClinVar cross-reference, gnomAD allele frequencies, gene annotations (RefSeq, Ensembl), HGVS notation, and ACMG pathogenicity classification — all done in under 2 minutes.

Upload your VCF, wait ~2 minutes, get a full annotated variant table and a clinical summary PDF. No batch queue. No bioinformatician overhead. No contract.

Current launch promo: 50% off for the first 100 samples. That's $5 per exome, $12.50 per whole genome, up to 100 samples. No credit card required to start.