Nature Communications (Feb 2020)

Multi-resolution localization of causal variants across the genome

  • Matteo Sesia,
  • Eugene Katsevich,
  • Stephen Bates,
  • Emmanuel Candès,
  • Chiara Sabatti

DOI
https://doi.org/10.1038/s41467-020-14791-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 10

Abstract

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GWAS analysis currently relies mostly on linear mixed models, which do not account for linkage disequilibrium (LD) between tested variants. Here, Sesia et al. propose KnockoffZoom, a non-parametric statistical method for the simultaneous discovery and fine-mapping of causal variants, assuming only that LD is described by hidden Markov models (HMMs).