Identification of novel genes associated with longevity in Drosophila melanogaster - a computational approach

Hall, Bethany S. and Barnett, Yvonne A. and Crofts, Jonathan J. and Chuzhanova, Nadia (2019) Identification of novel genes associated with longevity in Drosophila melanogaster - a computational approach. Aging, 11 (23). pp. 11244-11267. ISSN 1945-4589

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Official URL: https://doi.org/10.18632/aging.102527

Abstract

Despite a growing number of studies on longevity in Drosophila, genetic factors influencing lifespan are still poorly understood. In this paper we propose a conceptually new approach for the identification of novel longevity-associated genes and potential target genes for SNPs in non-coding regions by utilizing the knowledge of co-location of various loci, governed by the three-dimensional architecture of the Drosophila genome. Firstly, we created networks between genes/genomic regions harboring SNPs deemed to be significant in two longevity GWAS summary statistics datasets using intra- and inter-chromosomal interaction frequencies (Hi-C data) as a measure of co-location. These networks were further extended to include regions strongly interacting with previously selected regions. Using various network measures, literature search and additional bioinformatics resources, we investigated the plausibility of genes found to have genuine association with longevity. Several of the newly identified genes were common between the two GWAS datasets and these possessed human orthologs. We also found that the proportion of non-coding SNPs in borders between topologically associated domains is significantly higher than expected by chance. Assuming co-location, we investigated potential target genes for non-coding SNPs. This approach therefore offers a stepping stone to identification of novel genes and SNP targets linked to human longevity.

Item Type: Journal Article
Keywords: single nucleotide polymorphisms, longevity, Drosophila, networks, target genes
Faculty: Faculty of Science & Engineering
Depositing User: Lisa Blanshard
Date Deposited: 06 Dec 2019 12:41
Last Modified: 04 Feb 2020 15:32
URI: http://arro.anglia.ac.uk/id/eprint/705018

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