Skip to content

CARMA Fine-Mapping

Definition
AI-generated

CARMA is a Bayesian fine-mapping model designed for GWAS meta-analysis summary data, explicitly handling the structure of combined studies when inferring causal configurations and variant-level posteriors at a locus.

Topics
Population genetics
Related
Fine-Mapping from Summary Statistics FINEMAP GWAS Meta-Analysis

Why it matters in GWAS

Large-trait discovery increasingly relies on multi-cohort meta-analysis; CARMA and related methods target fine-mapping in that setting as an alternative or complement to FINEMAP and SuSiE-R pipelines, with different assumptions about heterogeneity.

Example usage

"CARMA fine-mapping narrowed the credible set by integrating LD patterns across studies."

Fine-Mapping from Summary Statistics FINEMAP GWAS Meta-Analysis SLALOM SuSiE
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Yang ZK, et al. (2023). CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses. Nat Genet.
  • Li Z, Zhou X. (2025). Towards improved fine-mapping of candidate causal variants. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00869-4
← Carbon-14 chronology Case-Control Imbalance →

Last updated (UTC · Git history)