Nature Communications (Aug 2018)
Genome-wide identification of directed gene networks using large-scale population genomics data
- 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
Affiliations
- René Luijk
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- Koen F. Dekkers
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- Maarten van Iterson
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- Wibowo Arindrarto
- Sequence Analysis Support Core, Leiden University Medical Center, Leiden
- Annique Claringbould
- Department of Genetics, University of Groningen, University Medical Centre Groningen
- Paul Hop
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam
- Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, ErasmusMC
- Marleen M. J. van Greevenbroek
- Department of Internal Medicine, Maastricht University Medical Center
- Jan H. Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht
- Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Centre Groningen
- Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen
- Peter A. C. ’t Hoen
- Department of Human Genetics, Leiden University Medical Center, Leiden
- Rick Jansen
- Department of Psychiatry, VU University Medical Center
- Joyce van Meurs
- Department of Internal Medicine, ErasmusMC
- Hailiang Mei
- Sequence Analysis Support Core, Leiden University Medical Center, Leiden
- P. Eline Slagboom
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- Bastiaan T. Heijmans
- Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- Erik W. van Zwet
- Medical Statistics Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden
- BIOS (Biobank-based Integrative Omics Study) Consortium
- DOI
- https://doi.org/10.1038/s41467-018-05452-6
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 10
Abstract
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.
