Nature Communications (Nov 2021)

Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits

  • Marion Patxot,
  • Daniel Trejo Banos,
  • Athanasios Kousathanas,
  • Etienne J. Orliac,
  • Sven E. Ojavee,
  • Gerhard Moser,
  • Alexander Holloway,
  • Julia Sidorenko,
  • Zoltan Kutalik,
  • Reedik Mägi,
  • Peter M. Visscher,
  • Lars Rönnegård,
  • Matthew R. Robinson

DOI
https://doi.org/10.1038/s41467-021-27258-9
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 16

Abstract

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Improving inference in large-scale genetic data linked to electronic medical record data requires the development of novel computationally efficient regression methods. Here, the authors develop a Bayesian approach for association analyses to improve SNP-heritability estimation, discovery, fine-mapping and genomic prediction.