Mapsnp: an R package to plot a genomic map for single nucleotide polymorphisms

Analysis of Nuclear Receptor Coactivator 5 (NCOA5) Messenger RNA Expression and rs2903908 Single Nucleotide Polymorphism of NCOA5 in an Egyptian Cohort with Behçet's Disease: A Single-Center Case-control Study

The nuclear receptor coactivator 5 (NCOA5) has been linked to several inflammatory disorders, including Behçet's disease (BD). We evaluated the expression of NCOA5 messenger RNA (mRNA) using real-time reverse transcription-polymerase chain reaction, and analyzed the rs2903908 T > C of NCOA5 using TaqMan allelic discrimination assay in 49 Egyptian BD patients and 50 controls. The NCOA5 mRNA levels were higher in patients compared to controls (p = .02), female patients compared to males (p = .037), and in patients with ocular involvement (p = .049). Non-CC genotype carriers had a higher frequency of articular manifestations compared with CC carriers (p = .047). Genotypes CC + CT were associated with reduced risk of cutaneous involvement (OR = 0.27, p = .04). CC carriers with active BD or cutaneous manifestations displayed significantly lower NCOA5 mRNA expression than TT carriers. Our results demonstrate that NCOA5 is linked to BD clinical findings and activity.

StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis

Population genetics focuses on the analysis of genetic differences within and between-group of individuals and the inference of the populations’ structure. These analyses are usually carried out using Bayesian clustering or maximum likelihood estimation algorithms that assign individuals to a given population depending on specific genetic patterns. Although several tools were developed to perform population genetics analysis, their standard graphical outputs may not be sufficiently informative for users lacking interactivity and complete information. StructuRly aims to resolve this problem by offering a complete environment for population analysis. In particular, StructuRly combines the statistical power of the R language with the friendly interfaces implemented using the shiny libraries to provide a novel tool for performing population clustering, evaluating several genetic indexes, and comparing results. Moreover, graphical representations are interactive and can be easily personalized. StructuRly is available either as R package on GitHub, with detailed information for its installation and use and as shinyapps.io servers for those users who are not familiar with R and the RStudio IDE. The application has been tested on Linux, macOS and Windows operative systems and can be launched as a shiny app in every web browser.

Visual Analytics of Genomic and Cancer Data: A Systematic Review

Visual analytics and visualisation can leverage the human perceptual system to interpret and uncover hidden patterns in big data. The advent of next-generation sequencing technologies has allowed the rapid production of massive amounts of genomic data and created a corresponding need for new tools and methods for visualising and interpreting these data. Visualising genomic data requires not only simply plotting of data but should also offer a decision or a choice about what the message should be conveyed in the particular plot; which methodologies should be used to represent the results must provide an easy, clear, and accurate way to the clinicians, experts, or researchers to interact with the data. Genomic data visual analytics is rapidly evolving in parallel with advances in high-throughput technologies such as artificial intelligence (AI) and virtual reality (VR). Personalised medicine requires new genomic visualisation tools, which can efficiently extract knowledge from the genomic data and speed up expert decisions about the best treatment of individual patient’s needs. However, meaningful visual analytics of such large genomic data remains a serious challenge. This article provides a comprehensive systematic review and discussion on the tools, methods, and trends for visual analytics of cancer-related genomic data. We reviewed methods for genomic data visualisation including traditional approaches such as scatter plots, heatmaps, coordinates, and networks, as well as emerging technologies using AI and VR. We also demonstrate the development of genomic data visualisation tools over time and analyse the evolution of visualising genomic data.

A flexible tool to plot a genomic map for single nucleotide polymorphisms

Background

Most genetic association studies use single-nucleotide polymorphisms (SNPs) as the research targets. However, resources to visualize the genomic map of candidate SNPs in a programming manner are limited. We have previously created an R package, mapsnp v0.1, to plot the genomic map for a panel of SNPs within a genomic region of interest. It failed to work under the latest version of Gviz package.

Results

We updated the mapsnp package to keep up with the latest package environment and improved its functionality by adding more parameters to fine tune plotting outputs.

Conclusions

The mapsnp package is a flexible software to visualize genomic map for SNPs, involving the relative chromosome location and the transcripts in the region.

Electronic supplementary material

The online version of this article (doi:10.1186/s13029-016-0052-z) contains supplementary material, which is available to authorized users.

Potential involvement of the interleukin-18 pathway in schizophrenia

OBJECTIVE

Accumulating evidence implicates inflammatory cytokines in the development of psychiatric disorders, including schizophrenia (SZ). IL-18 is one of cytokines that plays a crucial role in immune response and neurodevelopment. We aimed to investigate potential genetic alterations of the cytokine system underpinning SZ.

METHODS

We tested the association of genetic variants within the cytokine-cytokine receptor interaction (CCRI) pathway with SZ, using GWAS-derived data involving 768 adult SZ patients and 1348 controls, and replicated the association of IL18R1 rs1035130 with SZ in an independent sample of 1957 adult patients and 1509 controls. We compared expression levels of IL18, IL18R1 and IL18RAP in peripheral blood of a cohort of adolescent participants (<18 years), including 14 early-onset SZ patients and 13 healthy controls. Furthermore, we carried out a cis-eQTL (expression Quantitative Trait Loci) and a cis-mQTL (Methylation Quantitative Trait Loci) analysis for IL18R1 rs1035130.

RESULTS

In the discovery stage, we detected association signals within two IL18 pathway genes, IL18R1 and IL18RAP, with the most significant marker being IL18R1 rs1035130 (P = 1.84E-7, OR = 0.70). In the validation stage, we found rs1035130 was associated with SZ (P = 0.028, OR = 0.89). Expressions of IL18 and IL18R1 were altered in blood of SZ patients compared with 13 controls. Furthermore, cis-QTL analyses indicated that rs1035130 was associated with an eQTL and 5 mQTLs.

CONCLUSION

Our findings suggest the alteration of IL18 pathway may contribute to the psychopathology of SZ.