Genome-wide identification of directed gene networks using large-scale population genomics data

Identification of causal drivers behind expression is essential for understanding gene function. Here authors develop a method for the large-scale inference of gene–gene interactions in observational population genomics data and characterize a network of trans-effects for 6600 genes.

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Detalles Bibliográficos
Autores principales: René Luijk, Koen F. Dekkers, Maarten van Iterson, Wibowo Arindrarto, Annique Claringbould, Paul Hop, Dorret I. Boomsma, Cornelia M. van Duijn, Marleen M. J. van Greevenbroek, Jan H. Veldink, Cisca Wijmenga, Lude Franke, Peter A. C. ’t Hoen, Rick Jansen, Joyce van Meurs, Hailiang Mei, P. Eline Slagboom, Bastiaan T. Heijmans, Erik W. van Zwet, BIOS (Biobank-based Integrative Omics Study) Consortium
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/fe4640ea326848b3a9330f5cfa121bef
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Sumario:Identification of causal drivers behind expression is essential for understanding gene function. Here authors develop a method for the large-scale inference of gene–gene interactions in observational population genomics data and characterize a network of trans-effects for 6600 genes.