Synteny: a high throughput web tool to streamline causal gene prioritisation and provide insight into protein function
Abstract
Disease-associated genes can now be identified more readily than their functions can be understood. However, determining which candidates to take forward for functional validation remains a substantial challenge. Assessing whether candidate genes are associated with human phenotypes is a promising approach, although a systematic method to integrate the results of studies in model systems with human genetic data does not currently exist. Here we present Synteny, a powerful tool that enhances the accessibility of human genetic data and enables interactive visualisation of the associations between genes and phenotypes (https://bigproteomics.shinyapps.io/Synteny/). Synteny assists experimental biologists prioritise genes for further investigation, which we demonstrate by interrogating a locus from a published genetic analysis of lifespan in Diversity Outbred mice. To illustrate how Synteny provides unique insights into protein function, we applied it to analyse genes within the solute carrier (SLC) superfamily. Despite many members of the SLC superfamily remaining uncharacterised, unbiased genetic analysis using Synteny identified two potentially novel urate transporters, showcasing Synteny as a powerful tool for identifying functionally important proteins.
The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.
Research summary
Synteny is a tool that aids in the prioritization of genes for functional validation related to lifespan analysis. The paper addresses the challenge of understanding gene functions in the context of aging and lifespan, making it relevant to longevity research.
Author of this paper? Send a correction.