Winkler, T.W.* ; Grassmann, F.* ; Brandl, C.* ; Kiel, C.* ; Günther, F.* ; Strunz, T.* ; Weidner, L.* ; Zimmermann, M.E.* ; Korb, C.A.* ; Poplawski, A.* ; Schuster, A.K.* ; Müller-Nurasyid, M. ; Peters, A. ; Rauscher, F.G.* ; Elze, T.* ; Horn, K.* ; Scholz, M.* ; Cañadas-Garre, M.* ; McKnight, A.J.* ; Quinn, N.* ; Hogg, R.E.* ; Küchenhoff, H.* ; Heid, I.M.* ; Stark, K.J.* ; Weber, B.H.F.*
Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease.
BMC Med. Genomics 13:120 (2020)
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 x 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 (nearARMS2/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 suggestedCD46andTYRas 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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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Genome-wide Association Study (gwas) ; Meta-analysis ; Age-related Macular Degeneration (amd) ; Early Amd ; Cd46 ; Tyr ; International Amd Genomics Consortium (iamdgc) ; Uk Biobank (ukbb) ; Machine-learning ; Automated Phenotyping; Membrane Cofactor Protein; Risk-factors; Gwas; Cd46; Variants; Rare; Classification; Expression; Efficient; Resource
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2020
Prepublished im Jahr
HGF-Berichtsjahr
2020
ISSN (print) / ISBN
e-ISSN
1755-8794
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 13,
Heft: 1,
Seiten: ,
Artikelnummer: 120
Supplement: ,
Reihe
Verlag
BioMed Central
Verlagsort
Campus, 4 Crinan St, London N1 9xw, England
Tag d. mündl. Prüfung
0000-00-00
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Prüfer
Topic
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Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504100-001
G-504000-010
Förderungen
Copyright
Erfassungsdatum
2020-09-24