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A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration

A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration
A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration

Genome-wide association studies (GWAS) for late stage age-related macular degeneration (AMD) have identified 52 independent genetic variants with genome-wide significance at 34 genomic loci. Typically, such an approach rarely results in the identification of functional variants implicating a defined gene in the disease process. We now performed a transcriptome-wide association study (TWAS) allowing the prediction of effects of AMD-associated genetic variants on gene expression. The TWAS was based on the genotypes of 16,144 late-stage AMD cases and 17,832 healthy controls, and gene expression was imputed for 27 different human tissues which were obtained from 134 to 421 individuals. A linear regression model including each individuals imputed gene expression data and the respective AMD status identified 106 genes significantly associated to AMD variants in at least one tissue (Q-value < 0.001). Gene enrichment analysis highlighted rather systemic than tissue- or cell-specific processes. Remarkably, 31 of the 106 genes overlapped with significant GWAS signals of other complex traits and diseases, such as neurological or autoimmune conditions. Taken together, our study highlights the fact that expression of genes associated with AMD is not restricted to retinal tissue as could be expected for an eye disease of the posterior pole, but instead is rather ubiquitous suggesting processes underlying AMD pathology to be of systemic nature.

Gene Expression Profiling, Gene Regulatory Networks/genetics, Genes/genetics, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study, Humans, Macular Degeneration/genetics, Transcriptome/genetics
2045-2322
Strunz, Tobias
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Lauwen, Susette
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Kiel, Christina
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Fritsche, Lars G.
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Igl, Wilmar
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Burdon, Kathryn P.
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Hebbring, Scott J.
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Wen, Cindy
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Mitchell, Paul
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Cipriani, Valentina
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Guymer, Robyn H.
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Johnson, Matthew P.
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Jiang, Yingda
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Stanton, Chloe M.
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Buitendijk, Gabriëlle H.S.
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Zhan, Xiaowei
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Kwong, Alan M.
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Boleda, Alexis
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Brooks, Matthew
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Gieser, Linn
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Ratnapriya, Rinki
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Branham, Kari E.
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Foerster, Johanna R.
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Heckenlively, John R.
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Othman, Mohammad I.
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Vote, Brendan J.
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Liang, Helena Hai
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Souzeau, Emmanuelle
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Cree, Angela J.
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Goverdhan, Srinivas V.
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Moore, Emily L.
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Lotery, Andrew J.
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International AMD Genomics Consortium (IAMDGC)
Strunz, Tobias
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Lauwen, Susette
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Kiel, Christina
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Fritsche, Lars G.
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Igl, Wilmar
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Bailey, Jessica N.Cooke
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Grassmann, Felix
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Bragg-Gresham, Jennifer L.
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Burdon, Kathryn P.
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Hebbring, Scott J.
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Kim, Ivana K.
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Cho, David
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Zack, Donald
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Souied, Eric
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Hunter, David J.
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Cipriani, Valentina
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Schick, Tina
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Guymer, Robyn H.
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Johnson, Matthew P.
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Jiang, Yingda
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Stanton, Chloe M.
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Buitendijk, Gabriëlle H.S.
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Zhan, Xiaowei
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Kwong, Alan M.
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Boleda, Alexis
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Brooks, Matthew
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Gieser, Linn
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Ratnapriya, Rinki
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Branham, Kari E.
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Foerster, Johanna R.
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Heckenlively, John R.
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Othman, Mohammad I.
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Vote, Brendan J.
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Souzeau, Emmanuelle
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Cree, Angela J.
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Moore, Emily L.
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Lotery, Andrew J.
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Strunz, Tobias and Lauwen, Susette , International AMD Genomics Consortium (IAMDGC) (2020) A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration. Scientific Reports, 10 (1), [1584]. (doi:10.1038/s41598-020-58510-9).

Record type: Article

Abstract

Genome-wide association studies (GWAS) for late stage age-related macular degeneration (AMD) have identified 52 independent genetic variants with genome-wide significance at 34 genomic loci. Typically, such an approach rarely results in the identification of functional variants implicating a defined gene in the disease process. We now performed a transcriptome-wide association study (TWAS) allowing the prediction of effects of AMD-associated genetic variants on gene expression. The TWAS was based on the genotypes of 16,144 late-stage AMD cases and 17,832 healthy controls, and gene expression was imputed for 27 different human tissues which were obtained from 134 to 421 individuals. A linear regression model including each individuals imputed gene expression data and the respective AMD status identified 106 genes significantly associated to AMD variants in at least one tissue (Q-value < 0.001). Gene enrichment analysis highlighted rather systemic than tissue- or cell-specific processes. Remarkably, 31 of the 106 genes overlapped with significant GWAS signals of other complex traits and diseases, such as neurological or autoimmune conditions. Taken together, our study highlights the fact that expression of genes associated with AMD is not restricted to retinal tissue as could be expected for an eye disease of the posterior pole, but instead is rather ubiquitous suggesting processes underlying AMD pathology to be of systemic nature.

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s41598-020-58510-9 - Version of Record
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Accepted/In Press date: 16 January 2020
Published date: 31 January 2020
Keywords: Gene Expression Profiling, Gene Regulatory Networks/genetics, Genes/genetics, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study, Humans, Macular Degeneration/genetics, Transcriptome/genetics

Identifiers

Local EPrints ID: 438421
URI: http://eprints.soton.ac.uk/id/eprint/438421
ISSN: 2045-2322
PURE UUID: 78ba8fcf-66ff-4db1-b713-a07b9557fdf7
ORCID for Angela J. Cree: ORCID iD orcid.org/0000-0002-1987-8900
ORCID for Andrew J. Lotery: ORCID iD orcid.org/0000-0001-5541-4305

Catalogue record

Date deposited: 09 Mar 2020 17:33
Last modified: 18 Mar 2024 03:02

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Contributors

Author: Tobias Strunz
Author: Susette Lauwen
Author: Christina Kiel
Author: Lars G. Fritsche
Author: Wilmar Igl
Author: Jessica N.Cooke Bailey
Author: Felix Grassmann
Author: Sebanti Sengupta
Author: Jennifer L. Bragg-Gresham
Author: Kathryn P. Burdon
Author: Scott J. Hebbring
Author: Cindy Wen
Author: Mathias Gorski
Author: Ivana K. Kim
Author: David Cho
Author: Donald Zack
Author: Eric Souied
Author: Hendrik P.N. Scholl
Author: Elisa Bala
Author: Kristine E. Lee
Author: David J. Hunter
Author: Rebecca J. Sardell
Author: Paul Mitchell
Author: Joanna E. Merriam
Author: Valentina Cipriani
Author: Joshua D. Hoffman
Author: Tina Schick
Author: Yara T.E. Lechanteur
Author: Robyn H. Guymer
Author: Matthew P. Johnson
Author: Yingda Jiang
Author: Chloe M. Stanton
Author: Gabriëlle H.S. Buitendijk
Author: Xiaowei Zhan
Author: Alan M. Kwong
Author: Alexis Boleda
Author: Matthew Brooks
Author: Linn Gieser
Author: Rinki Ratnapriya
Author: Kari E. Branham
Author: Johanna R. Foerster
Author: John R. Heckenlively
Author: Mohammad I. Othman
Author: Brendan J. Vote
Author: Helena Hai Liang
Author: Emmanuelle Souzeau
Author: Angela J. Cree ORCID iD
Author: Srinivas V. Goverdhan
Author: Emily L. Moore
Corporate Author: International AMD Genomics Consortium (IAMDGC)

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