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Longevity GWAS Using the Drosophila Genetic Reference Panel

We used 197 Drosophila melanogaster Genetic Reference Panel (DGRP) lines to perform a genome-wide association analysis for virgin female lifespan, using ~2M common single nucleotide polymorphisms (SNPs). We found considerable genetic variation in lifespan in the DGRP, with a broad-sense heritability...

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Autores principales: Ivanov, Dobril K., Escott-Price, Valentina, Ziehm, Matthias, Magwire, Michael M., Mackay, Trudy F. C., Partridge, Linda, Thornton, Janet M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631106/
https://www.ncbi.nlm.nih.gov/pubmed/25922346
http://dx.doi.org/10.1093/gerona/glv047
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author Ivanov, Dobril K.
Escott-Price, Valentina
Ziehm, Matthias
Magwire, Michael M.
Mackay, Trudy F. C.
Partridge, Linda
Thornton, Janet M.
author_facet Ivanov, Dobril K.
Escott-Price, Valentina
Ziehm, Matthias
Magwire, Michael M.
Mackay, Trudy F. C.
Partridge, Linda
Thornton, Janet M.
author_sort Ivanov, Dobril K.
collection PubMed
description We used 197 Drosophila melanogaster Genetic Reference Panel (DGRP) lines to perform a genome-wide association analysis for virgin female lifespan, using ~2M common single nucleotide polymorphisms (SNPs). We found considerable genetic variation in lifespan in the DGRP, with a broad-sense heritability of 0.413. There was little power to detect signals at a genome-wide level in single-SNP and gene-based analyses. Polygenic score analysis revealed that a small proportion of the variation in lifespan (~4.7%) was explicable in terms of additive effects of common SNPs (≥2% minor allele frequency). However, several of the top associated genes are involved in the processes previously shown to impact ageing (eg, carbohydrate-related metabolism, regulation of cell death, proteolysis). Other top-ranked genes are of unknown function and provide promising candidates for experimental examination. Genes in the target of rapamycin pathway (TOR; Chrb, slif, mipp2, dredd, RpS9, dm) contributed to the significant enrichment of this pathway among the top-ranked 100 genes (p = 4.79×10(−06)). Gene Ontology analysis suggested that genes involved in carbohydrate metabolism are important for lifespan; including the InterPro term DUF227, which has been previously associated with lifespan determination. This analysis suggests that our understanding of the genetic basis of natural variation in lifespan from induced mutations is incomplete.
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spelling pubmed-46311062015-11-12 Longevity GWAS Using the Drosophila Genetic Reference Panel Ivanov, Dobril K. Escott-Price, Valentina Ziehm, Matthias Magwire, Michael M. Mackay, Trudy F. C. Partridge, Linda Thornton, Janet M. J Gerontol A Biol Sci Med Sci Original Article We used 197 Drosophila melanogaster Genetic Reference Panel (DGRP) lines to perform a genome-wide association analysis for virgin female lifespan, using ~2M common single nucleotide polymorphisms (SNPs). We found considerable genetic variation in lifespan in the DGRP, with a broad-sense heritability of 0.413. There was little power to detect signals at a genome-wide level in single-SNP and gene-based analyses. Polygenic score analysis revealed that a small proportion of the variation in lifespan (~4.7%) was explicable in terms of additive effects of common SNPs (≥2% minor allele frequency). However, several of the top associated genes are involved in the processes previously shown to impact ageing (eg, carbohydrate-related metabolism, regulation of cell death, proteolysis). Other top-ranked genes are of unknown function and provide promising candidates for experimental examination. Genes in the target of rapamycin pathway (TOR; Chrb, slif, mipp2, dredd, RpS9, dm) contributed to the significant enrichment of this pathway among the top-ranked 100 genes (p = 4.79×10(−06)). Gene Ontology analysis suggested that genes involved in carbohydrate metabolism are important for lifespan; including the InterPro term DUF227, which has been previously associated with lifespan determination. This analysis suggests that our understanding of the genetic basis of natural variation in lifespan from induced mutations is incomplete. Oxford University Press 2015-12 2015-04-28 /pmc/articles/PMC4631106/ /pubmed/25922346 http://dx.doi.org/10.1093/gerona/glv047 Text en © The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ivanov, Dobril K.
Escott-Price, Valentina
Ziehm, Matthias
Magwire, Michael M.
Mackay, Trudy F. C.
Partridge, Linda
Thornton, Janet M.
Longevity GWAS Using the Drosophila Genetic Reference Panel
title Longevity GWAS Using the Drosophila Genetic Reference Panel
title_full Longevity GWAS Using the Drosophila Genetic Reference Panel
title_fullStr Longevity GWAS Using the Drosophila Genetic Reference Panel
title_full_unstemmed Longevity GWAS Using the Drosophila Genetic Reference Panel
title_short Longevity GWAS Using the Drosophila Genetic Reference Panel
title_sort longevity gwas using the drosophila genetic reference panel
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631106/
https://www.ncbi.nlm.nih.gov/pubmed/25922346
http://dx.doi.org/10.1093/gerona/glv047
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