Literature DB >> 26662796

Candidate genetic modifiers of retinitis pigmentosa identified by exploiting natural variation in Drosophila.

Clement Y Chow1, Keegan J P Kelsey2, Mariana F Wolfner2, Andrew G Clark2.   

Abstract

Individuals carrying the same pathogenic mutation can present with a broad range of disease outcomes. While some of this variation arises from environmental factors, it is increasingly recognized that the background genetic variation of each individual can have a profound effect on the expressivity of a pathogenic mutation. In order to understand this background effect on disease-causing mutations, studies need to be performed across a wide range of backgrounds. Recent advancements in model organism biology allow us to test mutations across genetically diverse backgrounds and identify the genes that influence the expressivity of a mutation. In this study, we used the Drosophila Genetic Reference Panel, a collection of ∼200 wild-derived strains, to test the variability of the retinal phenotype of the Rh1(G69D) Drosophila model of retinitis pigmentosa (RP). We found that the Rh1(G69D) retinal phenotype is quite a variable quantitative phenotype. To identify the genes driving this extensive phenotypic variation, we performed a genome-wide association study. We identified 106 candidate genes, including 14 high-priority candidates. Functional testing by RNAi indicates that 10/13 top candidates tested influence the expressivity of Rh1(G69D). The human orthologs of the candidate genes have not previously been implicated as RP modifiers and their functions are diverse, including roles in endoplasmic reticulum stress, apoptosis and retinal degeneration and development. This study demonstrates the utility of studying a pathogenic mutation across a wide range of genetic backgrounds. These candidate modifiers provide new avenues of inquiry that may reveal new RP disease mechanisms and therapies.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2015        PMID: 26662796      PMCID: PMC4743685          DOI: 10.1093/hmg/ddv502

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  59 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-07       Impact factor: 11.205

2.  ER stress protects from retinal degeneration.

Authors:  César S Mendes; Clémence Levet; Gilles Chatelain; Pierre Dourlen; Antoine Fouillet; Marie-Laure Dichtel-Danjoy; Alexis Gambis; Hyung Don Ryoo; Hermann Steller; Bertrand Mollereau
Journal:  EMBO J       Date:  2009-04-02       Impact factor: 11.598

3.  Rhodopsin maturation defects induce photoreceptor death by apoptosis: a fly model for RhodopsinPro23His human retinitis pigmentosa.

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Journal:  Hum Mol Genet       Date:  2005-07-27       Impact factor: 6.150

4.  Natural Variation in Gene Expression Modulates the Severity of Mutant Phenotypes.

Authors:  Victoria Vu; Adrian J Verster; Michael Schertzberg; Tungalag Chuluunbaatar; Mark Spensley; Djina Pajkic; G Traver Hart; Jason Moffat; Andrew G Fraser
Journal:  Cell       Date:  2015-07-16       Impact factor: 41.582

5.  A Drosophila MAPKKK, D-MEKK1, mediates stress responses through activation of p38 MAPK.

Authors:  H Inoue; M Tateno; K Fujimura-Kamada; G Takaesu; T Adachi-Yamada; J Ninomiya-Tsuji; K Irie; Y Nishida; K Matsumoto
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6.  Comparative genomics and gene expression analysis identifies BBS9, a new Bardet-Biedl syndrome gene.

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  35 in total

Review 1.  Genotypic Context and Epistasis in Individuals and Populations.

Authors:  Timothy B Sackton; Daniel L Hartl
Journal:  Cell       Date:  2016-07-14       Impact factor: 41.582

2.  Bringing genetic background into focus.

Authors:  Clement Y Chow
Journal:  Nat Rev Genet       Date:  2015-12-14       Impact factor: 53.242

3.  A Drosophila model to study retinitis pigmentosa pathology associated with mutations in the core splicing factor Prp8.

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Review 4.  Genetic backgrounds and hidden trait complexity in natural populations.

Authors:  Téo Fournier; Joseph Schacherer
Journal:  Curr Opin Genet Dev       Date:  2017-09-12       Impact factor: 5.578

5.  Genotype Influences Day-to-Day Variability in Sleep in Drosophila melanogaster.

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Journal:  Sleep       Date:  2018-02-01       Impact factor: 5.849

Review 6.  Charting the genotype-phenotype map: lessons from the Drosophila melanogaster Genetic Reference Panel.

Authors:  Trudy F C Mackay; Wen Huang
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2017-08-22       Impact factor: 5.814

Review 7.  Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression.

Authors:  Jing Hou; Jolanda van Leeuwen; Brenda J Andrews; Charles Boone
Journal:  Trends Genet       Date:  2018-06-11       Impact factor: 11.639

8.  Genetic Modifiers of Neurodegeneration in a Drosophila Model of Parkinson's Disease.

Authors:  Sierra Lavoy; Vinita G Chittoor-Vinod; Clement Y Chow; Ian Martin
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Review 9.  Using Drosophila to drive the diagnosis and understand the mechanisms of rare human diseases.

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Journal:  Development       Date:  2020-09-28       Impact factor: 6.868

10.  Müller cell metabolic chaos during retinal degeneration.

Authors:  Rebecca L Pfeiffer; Robert E Marc; Mineo Kondo; Hiroko Terasaki; Bryan W Jones
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