Nature Communications (Feb 2021)

A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits

  • Christopher N. Foley,
  • James R. Staley,
  • Philip G. Breen,
  • Benjamin B. Sun,
  • Paul D. W. Kirk,
  • Stephen Burgess,
  • Joanna M. M. Howson

DOI
https://doi.org/10.1038/s41467-020-20885-8
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 18

Abstract

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Statistical colocalisation is a method to identify causal genes and shared genetic aetiology across traits. Here, the authors describe HyPrColoc, an efficient Bayesian divisive clustering algorithm which integrates summary statistics from genome-wide association studies to detect clusters of colocalised traits from large numbers of traits.