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REGENIE

Definition
AI-generated

REGENIE is a computationally efficient whole-genome regression method and software package for biobank-scale association testing.

Topics
GWAS
URL
https://rgcgithub.github.io/regenie/
Related
Case-Control Imbalance Firth Regression Genome-Wide Association Study (GWAS)

Why it matters in GWAS

REGENIE is popular for very large cohorts because it scales well to millions of variants while accounting for polygenic background. It is especially common in UK Biobank-style pipelines and in exome or imputed-data analyses where speed and calibration both matter.

Example usage

"We ran REGENIE step 1 on pruned array variants and step 2 on imputed dosages with leave-one-chromosome-out prediction."

Case-Control Imbalance Firth Regression Genome-Wide Association Study (GWAS) Linear Mixed Model (LMM) PLINK Scalable and Accurate Implementation of Generalized Mixed Model (SAIGE)
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

  • Mbatchou J, et al. (2021). Computationally efficient whole-genome regression for quantitative and binary traits. Nat Genet. https://doi.org/10.1038/s41588-021-00870-7
  • GWASTutorial: Whole genome regression.
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