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

Authors :
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
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.0005592df464e3ea0bdfbf2ebf8a4d7
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-27258-9