Abstract
Rare disease gene discovery is limited by small cohorts and the frequent absence of matched controls. We present the Case-Only Burden Test (COBT), a gene-based burden test for case-only designs accounting for multiple variants per individual and additive effects. COBT uses a Poisson model to test for excess variants in a gene relative to expectations from population mutation rates. Simulations show high power and competitive performance versus case-control burden tests. Validation on 1000 Genomes data demonstrated good model fit and low false-positive rates. Applied to 478 ciliopathy patients, COBT re-identified known causal genes and highlighted candidate variants in unsolved cases.
| Original language | English (US) |
|---|---|
| Article number | 52 |
| Journal | Genome medicine |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 2026 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s) 2026.
Keywords
- Burden testing
- Case-only association analysis
- Ciliopathies
- Rare diseases
- Statistical genetics
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't
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