CORE The Basics 12 min read Published Updated

Microarray vs. NGS: Why Your DNA Test is 99% Blind

AncestryDNA and 23andMe tests examine ~700,000 genetic variants. Your genome contains 3 billion base pairs. This guide explains the math behind what you're missing.

MICROARRAY (Ancestry/23andMe)
0.02%
of genome covered
~700,000 SNPs
WGS (Dante/Sequencing.com)
~100%
of genome covered
~3,000,000,000 base pairs
DNA sequencing technology and laboratory research
Photo on Unsplash

Short Answer Microarray vs WGS: What's the Difference?

Microarrays (AncestryDNA, 23andMe) test ~700,000 pre-selected SNPs — just 0.02% of your genome. Whole Genome Sequencing (WGS) reads all 3.2 billion base pairs at 30x depth, achieving ≥99.9% accuracy (Q30 ≥90%). WGS detects rare variants, structural variants, and insertions/deletions invisible to microarrays. In 2026, consumer 30x WGS costs $379–€399 (Sequencing.com, Dante Labs) vs $99 for microarray — a 4,000x increase in genomic data for ~4x the price.

Quick Answer

What's the difference between DNA microarray and whole genome sequencing?

Microarrays (AncestryDNA, 23andMe) probe ~700,000 pre-selected SNPs—0.02% of your genome. Whole Genome Sequencing (WGS) reads all 3 billion base pairs at 30x-100x depth, capturing rare variants, structural variants, and insertions/deletions invisible to microarrays. WGS costs ~$400 (2026) vs $99 for microarray, but provides 4,000x more data.
Last verified: January 2026

The Fundamental Difference: What Sets WGS Apart From Microarray?

Microarray (The Drone)

Like a drone flying over a landscape, capturing only specific pre-programmed coordinates (SNPs). It sees the major landmarks but misses everything in between.

  • 99.98% Blind: Misses the ground truth between markers
  • Cannot Discover: Only finds what it already knows exists
  • No Context: Misses structural changes in the terrain

NGS/WGS (The Hiker)

Like a hiker walking every inch of the trail. It documents every single step, crack in the pavement, and blade of grass. It maps the entire territory.

  • 100% Visibility: Reads all 3 billion letters
  • Discovery Mode: Finds rare, unique-to-you mutations
  • Full Context: Sees insertions, deletions, and copy numbers

What Does 30x Read Depth Mean — And Why Does It Matter?

Read depth (or coverage) refers to how many times each position in your genome is read during sequencing. Think of it as "confidence through repetition."

30x coverage = Each base pair read ~30 times on average
Coverage Use Case Accuracy Price (2026)
0.4x Low-pass WGS (ancestry only) ~85% $99-149
30x Clinical-grade health analysis 99.9% €399-499
100x Oncology/tumor sequencing 99.99% $1,200+

Why 30x is the Gold Standard

At 30x depth, the statistical probability of correctly calling a heterozygous variant (one copy from each parent) exceeds 99.9%. Below 20x, false negatives increase exponentially. Consumer DNA tests at 0.4x miss rare variants and cannot reliably call anything beyond common SNPs.

What Are Phred Quality Scores (Q30) and How Do You Read Them?

A Phred quality score quantifies the accuracy of each base call during sequencing. Higher is better.

Phred Score Formula
Q = -10 × log10(Perror)
Phred Score Error Probability Accuracy Errors per 1M bases
Q10 1 in 10 90% 100,000
Q20 1 in 100 99% 10,000
Q30 1 in 1,000 99.9% 1,000
Q40 1 in 10,000 99.99% 100

Q30 is the Industry Standard

Clinical labs require ≥80% of bases at Q30 or higher. When comparing WGS providers like Dante Labs or Sequencing.com, ask for their Q30 percentage. Lower percentages indicate older sequencing machines or reduced quality control.

File Format Sovereignty: FASTQ → BAM → VCF

True data sovereignty means owning your raw sequencing files—not just a processed report. Here's the pipeline:

FASTQ
Raw reads + quality
~100-150 GB
BAM
Aligned to reference
~50-80 GB
VCF
Variant calls only
~100-500 MB

What You Should Demand

  • FASTQ: The ultimate raw data. Can be re-aligned as reference genomes improve (GRCh38 → future versions).
  • BAM: Aligned reads. Faster to work with but tied to a reference version.
  • VCF: Minimum viable output. Contains only your variants, not the raw evidence.

The Longevity Blind Spot: What Microarrays Miss

Longevity research increasingly focuses on rare variants, structural variations, and mitochondrial DNA—all invisible to consumer microarrays.

Variant Type Microarray 30x WGS Longevity Relevance
Common SNPs (MAF >5%) ✓ Detected ✓ Detected Ancestry, common traits
Rare SNPs (MAF <1%) ✗ Missed ✓ Detected Disease risk, drug response
Insertions/Deletions (InDels) ✗ Missed ✓ Detected BRCA, Lynch Syndrome
Structural Variants (>50bp) ✗ Missed ◐ Partial Copy number, translocations
Mitochondrial DNA ◐ Limited ✓ Full coverage Cellular energy, aging
Methylation Status ✗ Missed ✗ Requires special prep Epigenetic clocks

Ready for Complete Genomic Coverage?

Compare clinical-grade WGS providers and find the right balance of depth, price, and data sovereignty.

CG
ChronosGenomics Research Team

Our technical articles are informed by peer-reviewed research, official manufacturer documentation, and verified user reports from communities like Reddit and Trustpilot. We cross-reference all specifications against multiple independent sources.

Read our full methodology →

Sources & Methodology

Peer-Reviewed Literature

Official Documentation & Data

Research Methodology

This technical guide synthesizes data from peer-reviewed genomics literature, official Illumina sequencing platform specifications, and GIAB Consortium benchmark studies. Pricing verified from dantelabs.com and sequencing.com on March 15, 2026. All accuracy metrics are based on published validation studies, not proprietary testing.

Last verified: March 2026 · License: CC BY 4.0 — Cite freely with attribution to ChronosGenomics.