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

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-mapp...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d0005592df464e3ea0bdfbf2ebf8a4d7
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spelling	oai:doaj.org-article:d0005592df464e3ea0bdfbf2ebf8a4d72021-12-05T12:22:11ZProbabilistic inference of the genetic architecture underlying functional enrichment of complex traits10.1038/s41467-021-27258-92041-1723https://doaj.org/article/d0005592df464e3ea0bdfbf2ebf8a4d72021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27258-9https://doaj.org/toc/2041-1723Improving 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.Marion PatxotDaniel Trejo BanosAthanasios KousathanasEtienne J. OrliacSven E. OjaveeGerhard MoserAlexander HollowayJulia SidorenkoZoltan KutalikReedik MägiPeter M. VisscherLars RönnegårdMatthew R. RobinsonNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
description	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.
format	article
author	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
author_facet	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
author_sort	Marion Patxot
title	Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
title_short	Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
title_full	Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
title_fullStr	Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
title_full_unstemmed	Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
title_sort	probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d0005592df464e3ea0bdfbf2ebf8a4d7
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Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits

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