Epistatic interactions of genetic loci associated with age-related macular degeneration

Abstract The currently largest genome-wide association study (GWAS) for age-related macular degeneration (AMD) defines disease association with genome-wide significance for 52 independent common and rare genetic variants across 34 chromosomal loci. Overall, these loci contain over 7200 variants and...

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Main Authors: Christina Kiel, Christoph A. Nebauer, Tobias Strunz, Simon Stelzl, Bernhard H. F. Weber
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92351-4
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spelling doaj-a4f2b1aa556848daa51932e3f871c3ac2021-06-27T11:31:42ZengNature Publishing GroupScientific Reports2045-23222021-06-0111111110.1038/s41598-021-92351-4Epistatic interactions of genetic loci associated with age-related macular degenerationChristina Kiel0Christoph A. Nebauer1Tobias Strunz2Simon Stelzl3Bernhard H. F. Weber4Institute of Human Genetics, University of RegensburgInstitute of Human Genetics, University of RegensburgInstitute of Human Genetics, University of RegensburgInstitute of Human Genetics, University of RegensburgInstitute of Human Genetics, University of RegensburgAbstract The currently largest genome-wide association study (GWAS) for age-related macular degeneration (AMD) defines disease association with genome-wide significance for 52 independent common and rare genetic variants across 34 chromosomal loci. Overall, these loci contain over 7200 variants and are enriched for genes with functions indicating several shared cellular processes. Still, the precise mechanisms leading to AMD pathology are largely unknown. Here, we exploit the phenomenon of epistatic interaction to identify seemingly independent AMD-associated variants that reveal joint effects on gene expression. We focus on genetic variants associated with lipid metabolism, organization of extracellular structures, and innate immunity, specifically the complement cascade. Multiple combinations of independent variants were used to generate genetic risk scores allowing gene expression in liver to be compared between low and high-risk AMD. We identified genetic variant combinations correlating significantly with expression of 26 genes, of which 19 have not been associated with AMD before. This study defines novel targets and allows prioritizing further functional work into AMD pathobiology.https://doi.org/10.1038/s41598-021-92351-4
collection DOAJ
language English
format Article
sources DOAJ
author Christina Kiel
Christoph A. Nebauer
Tobias Strunz
Simon Stelzl
Bernhard H. F. Weber
spellingShingle Christina Kiel
Christoph A. Nebauer
Tobias Strunz
Simon Stelzl
Bernhard H. F. Weber
Epistatic interactions of genetic loci associated with age-related macular degeneration
Scientific Reports
author_facet Christina Kiel
Christoph A. Nebauer
Tobias Strunz
Simon Stelzl
Bernhard H. F. Weber
author_sort Christina Kiel
title Epistatic interactions of genetic loci associated with age-related macular degeneration
title_short Epistatic interactions of genetic loci associated with age-related macular degeneration
title_full Epistatic interactions of genetic loci associated with age-related macular degeneration
title_fullStr Epistatic interactions of genetic loci associated with age-related macular degeneration
title_full_unstemmed Epistatic interactions of genetic loci associated with age-related macular degeneration
title_sort epistatic interactions of genetic loci associated with age-related macular degeneration
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-06-01
description Abstract The currently largest genome-wide association study (GWAS) for age-related macular degeneration (AMD) defines disease association with genome-wide significance for 52 independent common and rare genetic variants across 34 chromosomal loci. Overall, these loci contain over 7200 variants and are enriched for genes with functions indicating several shared cellular processes. Still, the precise mechanisms leading to AMD pathology are largely unknown. Here, we exploit the phenomenon of epistatic interaction to identify seemingly independent AMD-associated variants that reveal joint effects on gene expression. We focus on genetic variants associated with lipid metabolism, organization of extracellular structures, and innate immunity, specifically the complement cascade. Multiple combinations of independent variants were used to generate genetic risk scores allowing gene expression in liver to be compared between low and high-risk AMD. We identified genetic variant combinations correlating significantly with expression of 26 genes, of which 19 have not been associated with AMD before. This study defines novel targets and allows prioritizing further functional work into AMD pathobiology.
url https://doi.org/10.1038/s41598-021-92351-4
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