PT  - JOURNAL ARTICLE
AU  - Owen J.L. Rackham
AU  - Sarah R. Langley
AU  - Thomas Oates
AU  - Eleni Vradi
AU  - Nathan Harmston
AU  - Prashant K. Srivastava
AU  - Jacques Behmoaras
AU  - Petros Dellaportas
AU  - Leonardo Bottolo
AU  - Enrico Petretto
TI  - Approximate Bayesian bisulphite sequencing analysis
AID  - 10.1101/041715
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 041715
4099  - http://biorxiv.org/content/early/2016/02/29/041715.short
4100  - http://biorxiv.org/content/early/2016/02/29/041715.full
AB  - We present a Bayesian smoothing approach to detect differentially methylated regions from whole-genome bisulfite sequencing (WGBS) data. The method exploits the Integrated Nested Laplace Approximation for fast and accurate model fitting, an alternative to computationally expensive sampling-based methods. We demonstrate the approach by extensive simulation studies and WGBS of macrophages in experimental glomerulonephritis, revealing differential Ifitm3 promoter methylation in glomerulonephritis, supported by differential transcription factor binding and Ifitm3 gene expression.