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Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease

BACKGROUND: Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. METHODS: To identify genetic factors for early AMD, we conducted...

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Autores principales: Winkler, Thomas W., Grassmann, Felix, Brandl, Caroline, Kiel, Christina, Günther, Felix, Strunz, Tobias, Weidner, Lorraine, Zimmermann, Martina E., Korb, Christina A., Poplawski, Alicia, Schuster, Alexander K., Müller-Nurasyid, Martina, Peters, Annette, Rauscher, Franziska G., Elze, Tobias, Horn, Katrin, Scholz, Markus, Cañadas-Garre, Marisa, McKnight, Amy Jayne, Quinn, Nicola, Hogg, Ruth E., Küchenhoff, Helmut, Heid, Iris M., Stark, Klaus J., Weber, Bernhard H. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449002/
https://www.ncbi.nlm.nih.gov/pubmed/32843070
http://dx.doi.org/10.1186/s12920-020-00760-7
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author Winkler, Thomas W.
Grassmann, Felix
Brandl, Caroline
Kiel, Christina
Günther, Felix
Strunz, Tobias
Weidner, Lorraine
Zimmermann, Martina E.
Korb, Christina A.
Poplawski, Alicia
Schuster, Alexander K.
Müller-Nurasyid, Martina
Peters, Annette
Rauscher, Franziska G.
Elze, Tobias
Horn, Katrin
Scholz, Markus
Cañadas-Garre, Marisa
McKnight, Amy Jayne
Quinn, Nicola
Hogg, Ruth E.
Küchenhoff, Helmut
Heid, Iris M.
Stark, Klaus J.
Weber, Bernhard H. F.
author_facet Winkler, Thomas W.
Grassmann, Felix
Brandl, Caroline
Kiel, Christina
Günther, Felix
Strunz, Tobias
Weidner, Lorraine
Zimmermann, Martina E.
Korb, Christina A.
Poplawski, Alicia
Schuster, Alexander K.
Müller-Nurasyid, Martina
Peters, Annette
Rauscher, Franziska G.
Elze, Tobias
Horn, Katrin
Scholz, Markus
Cañadas-Garre, Marisa
McKnight, Amy Jayne
Quinn, Nicola
Hogg, Ruth E.
Küchenhoff, Helmut
Heid, Iris M.
Stark, Klaus J.
Weber, Bernhard H. F.
author_sort Winkler, Thomas W.
collection PubMed
description BACKGROUND: Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. METHODS: To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loci via GWAS and via a candidate approach based on 14 previously suggested early AMD variants. RESULTS: Altogether, we identified 10 independent loci with statistical significance for early AMD: (i) 8 from our GWAS with genome-wide significance (P < 5 × 10(− 8)), (ii) one previously suggested locus with experiment-wise significance (P < 0.05/14) in our non-overlapping data and with genome-wide significance when combining the reported and our non-overlapping data (together 17,539 cases, 105,395 controls), and (iii) one further previously suggested locus with experiment-wise significance in our non-overlapping data. Of these 10 identified loci, 8 were novel and 2 known for early AMD. Most of the 10 loci overlapped with known advanced AMD loci (near ARMS2/HTRA1, CFH, C2, C3, CETP, TNFRSF10A, VEGFA, APOE), except two that have not yet been identified with statistical significance for any AMD. Among the 17 genes within these two loci, in-silico functional annotation suggested CD46 and TYR as the most likely responsible genes. Presence or absence of an early AMD effect distinguished the known pathways of advanced AMD genetics (complement/lipid pathways versus extracellular matrix metabolism). CONCLUSIONS: Our GWAS on early AMD identified novel loci, highlighted shared and distinct genetics between early and advanced AMD and provides insights into AMD etiology. Our data provide a resource comparable in size to the existing IAMDGC data on advanced AMD genetics enabling a joint view. The biological relevance of this joint view is underscored by the ability of early AMD effects to differentiate the major pathways for advanced AMD.
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spelling pubmed-74490022020-08-27 Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease Winkler, Thomas W. Grassmann, Felix Brandl, Caroline Kiel, Christina Günther, Felix Strunz, Tobias Weidner, Lorraine Zimmermann, Martina E. Korb, Christina A. Poplawski, Alicia Schuster, Alexander K. Müller-Nurasyid, Martina Peters, Annette Rauscher, Franziska G. Elze, Tobias Horn, Katrin Scholz, Markus Cañadas-Garre, Marisa McKnight, Amy Jayne Quinn, Nicola Hogg, Ruth E. Küchenhoff, Helmut Heid, Iris M. Stark, Klaus J. Weber, Bernhard H. F. BMC Med Genomics Research Article BACKGROUND: Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. METHODS: To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loci via GWAS and via a candidate approach based on 14 previously suggested early AMD variants. RESULTS: Altogether, we identified 10 independent loci with statistical significance for early AMD: (i) 8 from our GWAS with genome-wide significance (P < 5 × 10(− 8)), (ii) one previously suggested locus with experiment-wise significance (P < 0.05/14) in our non-overlapping data and with genome-wide significance when combining the reported and our non-overlapping data (together 17,539 cases, 105,395 controls), and (iii) one further previously suggested locus with experiment-wise significance in our non-overlapping data. Of these 10 identified loci, 8 were novel and 2 known for early AMD. Most of the 10 loci overlapped with known advanced AMD loci (near ARMS2/HTRA1, CFH, C2, C3, CETP, TNFRSF10A, VEGFA, APOE), except two that have not yet been identified with statistical significance for any AMD. Among the 17 genes within these two loci, in-silico functional annotation suggested CD46 and TYR as the most likely responsible genes. Presence or absence of an early AMD effect distinguished the known pathways of advanced AMD genetics (complement/lipid pathways versus extracellular matrix metabolism). CONCLUSIONS: Our GWAS on early AMD identified novel loci, highlighted shared and distinct genetics between early and advanced AMD and provides insights into AMD etiology. Our data provide a resource comparable in size to the existing IAMDGC data on advanced AMD genetics enabling a joint view. The biological relevance of this joint view is underscored by the ability of early AMD effects to differentiate the major pathways for advanced AMD. BioMed Central 2020-08-26 /pmc/articles/PMC7449002/ /pubmed/32843070 http://dx.doi.org/10.1186/s12920-020-00760-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Winkler, Thomas W.
Grassmann, Felix
Brandl, Caroline
Kiel, Christina
Günther, Felix
Strunz, Tobias
Weidner, Lorraine
Zimmermann, Martina E.
Korb, Christina A.
Poplawski, Alicia
Schuster, Alexander K.
Müller-Nurasyid, Martina
Peters, Annette
Rauscher, Franziska G.
Elze, Tobias
Horn, Katrin
Scholz, Markus
Cañadas-Garre, Marisa
McKnight, Amy Jayne
Quinn, Nicola
Hogg, Ruth E.
Küchenhoff, Helmut
Heid, Iris M.
Stark, Klaus J.
Weber, Bernhard H. F.
Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
title Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
title_full Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
title_fullStr Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
title_full_unstemmed Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
title_short Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
title_sort genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449002/
https://www.ncbi.nlm.nih.gov/pubmed/32843070
http://dx.doi.org/10.1186/s12920-020-00760-7
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