From DNA to Disease

This site presents biology as a layered system, where measurement, regulation, and phenotype are connected rather than isolated.

Modern biology can feel fragmented, but the underlying system is deeply structured. DNA encodes potential. Regulatory systems determine accessibility. RNA reflects active programs. Proteins execute function. Disease emerges when these layers interact over time.

The sequence below reflects how I think about uncovering those layers.

Step 1 — Understand What Is Being Measured

• What We Mean by Genetic Data: DNA and RNA
• DNA Sequencing Explained
• Genotyping Arrays Explained
• RNA Sequencing Explained
• Comparative Analysis: What Each Measures and Why

These articles clarify a foundational idea: biology is layered because measurement is layered.

Step 2 — Observed Structure Is Not Mechanism

• What PCA Captures in Genetic Data and What It Doesn’t

Statistical structure does not automatically reveal biological causality.

Step 3 — From Variants to Disease

• What Are Complex Diseases?
• Coding vs Regulatory Variants
• From Variants to Effects

Here the question shifts from measurement to mechanism. Most common diseases rarely arise from a single broken protein. They emerge from distributed regulatory shifts across the genome.

Stepping back, the full system looks like this:

Genome → Regulation → Expression → Function → Disease

No single dataset can capture disease biology on its own. Understanding requires placing each measurement layer in context.

Future additions may expand into epigenomics, 3D genome organization, and multi-omic integration.