From Observational to Mechanistic Genomics: Causal Genomics for Scalable Variant Interpretation

Codebreaker Labs Utilizes Twist’s Oligo Pools for Advanced Causal Genomics Screening to Enhance Drug Development and Diagnostics.

Over the past decade, DNA sequencing has exploded, generating vast genomic datasets with surprisingly little functional insight into what most variants actually do. Codebreaker Labs’ high-throughput Causal Genomics platform fills this critical gap by directly testing variant effects through large-scale saturation mutagenesis, precise CRISPR editing, and single-cell analysis. By producing detailed, experimentally grounded variant effect maps across both common and rare variants, this approach unlocks powerful new opportunities in drug target discovery, biomarker validation, clinical study design, and AI model training.

 


Covered in this Case Study
The limitations of modern “association-based” genomics
Causal Genomics and its value for rare variant studies
The importance of high-quality DNA synthesis
Twist’s role in enabling an efficient, deep-phenotyping Causal Genomics workflow
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