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COBT: a gene-based rare variant burden test for case-only study designs using aggregated genotypes from public reference cohorts

  • Antoine Favier
  • , Stefania Chounta
  • , Alejandro Garcia
  • , Fabienne Jabot-Hanin
  • , Xiaoyi Chen
  • , Nicolas Garcelon
  • , Anita Burgun
  • , Manuel Higueras
  • , Agathe Guilloux
  • , Alexandre Benmerah
  • , Yoann Martin
  • , Katy Billot
  • , Jean Michel Rozet
  • , Isabelle Perrault
  • , Valérie Cormier-Daire
  • , Céline Huber
  • , Mohamad Zaidan
  • , Tania Attie-Bitach
  • , Sophie Saunier
  • , Antonio Rausell

Research output: Contribution to journal › Article › peer-review

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 languageEnglish (US)
Article number52
JournalGenome medicine
Volume18
Issue number1
DOIs
StatePublished - Dec 2026
Externally publishedYes

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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