Arnold, A. | Search bioRxiv

bioRxiv2019

A genome-wide genetic pleiotropy approach identified shared loci between multiple system atrophy and inflammatory bowel disease

We aimed to identify shared genetic background between multiple system atrophy (MSA) and autoimmune diseases by using the conjFDR approach. Our study showed significant genetic overlap between MSA and inflammatory bowel disease and identified DENND1B, C7, and RSP04 loci, which are linked to significant changes in methylation or expression levels of adjacent genes. We obtained evidence of enriched heritability involving immune/digestive categories. Finally, an MSA mouse model showed dysregulation of the C7 gene in the degenerating midbrain compared to wildtype mice. The results identify novel molecular mechanisms and implicate immune and gut dysfunction in MSA pathophysiology.

genetics↗

bioRxiv2019

MultiEditR: An easy validation method for detecting and quantifying RNA editing from Sanger sequencing

RNA editing is the base change that results from RNA deamination by two predominant classes of deaminases; the APOBEC family and the ADAR family. Respectively, deamination of nucleobases by these enzymes are responsible for endogenous editing of cytosine to uracil (C-to-U) and adenosine to inosine (A-to-I). RNA editing is known to play an essential role both in maintaining normal cellular function, as well as altered cellular physiology during oncogenesis and tumour progression. Analysis of RNA editing in these important processes, largely relies on RNA-seq technology for the detection and quantification of RNA editing sites. Despite the power of these technologies, multiple sources of error in detecting and measuring base editing still exist, therefore additional validation and quantification of editing through Sanger sequencing is still required for confirmation of editing. Depending on the number of RNA editing sites that are of interest, this validation step can be both expensive and time-consuming. To address this need we developed the tool MultiEditR which provides a simple, and cost-effective method of detecting and quantifying RNA editing form Sanger sequencing. We expect that MultiEditR will foster further discoveries in this rapidly expanding field.

bioinformatics↗