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

Authors :
Helmut Küchenhoff
Katrin Horn
Christina Kiel
F. Rauscher
Bernhard H. F. Weber
Ruth E Hogg
Marisa Cañadas-Garre
Klaus Stark
Annette Peters
Caroline Brandl
Thomas W. Winkler
Lorraine Weidner
Alicia Poplawski
Nicola Quinn
Tobias Strunz
Martina E. Zimmermann
Amy Jayne McKnight
Tobias Elze
Felix Grassmann
Felix Günther
Markus Scholz
Alexander K. Schuster
Martina Müller-Nurasyid
Iris M. Heid
Christina Korb
Source :
BMC Med. Genomics 13:120 (2020), BMC Medical Genomics, Vol 13, Iss 1, Pp 1-18 (2020), BMC Medical Genomics
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

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 − 8), (ii) one previously suggested locus with experiment-wise significance (P 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.

Details

Database :
OpenAIRE
Journal :
BMC Med. Genomics 13:120 (2020), BMC Medical Genomics, Vol 13, Iss 1, Pp 1-18 (2020), BMC Medical Genomics
Accession number :
edsair.doi.dedup.....b54583b59cba9c40278282f803e03177