4.5 Article

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

Journal

BMC MEDICAL GENOMICS
Volume 13, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12920-020-00760-7

Keywords

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

Funding

  1. German Federal Ministry of Education and Research (BMBF) [01ER1206, 01ER1507]
  2. University of Regensburg
  3. government of Rhineland-Palatinate [AZ 961-386261/733]
  4. Johannes Gutenberg-University of Mainz
  5. Boehringer Ingelheim
  6. PHILIPS Medical Systems
  7. Deutsche Ophthalmologische Gesellschaft
  8. Berufsverband der Augenarzte Deutschland e.V.
  9. NIH [R01 EY022310]
  10. DFG [HE 3690/5-1]
  11. Helmholtz Zentrum Munchen - German Research Center for Environmental Health
  12. German Federal Ministry of Education and Research (BMBF)
  13. State of Bavaria
  14. Munich Center of Health Sciences (MC-Health)
  15. LudwigMaximilians-Universitat
  16. Leipzig Research Centre for Civilization Diseases (LIFE)
  17. European Union
  18. European Regional Development Fund (ERDF)
  19. Free State of Saxony within the framework of the excellence initiative [713-241202, 14505/2470, 14575/2470]
  20. German Federal Ministry of Education and Research: i:DSem - Integrative data semantics in systems medicine [031 L0026]
  21. Lions Foundation
  22. GrimshawGudewicz Foundation
  23. Research to Prevent Blindness
  24. BrightFocus Foundation
  25. Alice Adler Fellowship
  26. NEI [R21EY030142, R21EY030631, R01EY030575, P30EYE003790]
  27. Atlantic Philanthropies
  28. Economic and Social Research Council
  29. UKCRC Centre of Excellence for Public Health Northern Ireland
  30. Centre for Ageing Research and Development in Ireland
  31. Office of the First Minister and Deputy First Minister
  32. Health and Social Care Research and Development Division of the Public Health Agency
  33. Wellcome Trust/Wolfson Foundation
  34. Queen's University Belfast
  35. Science Foundation Ireland
  36. Department for the Economy, Northern Ireland US [15/IA/3152]
  37. Economic and Social Research Council [ES/L008459/1]
  38. German Research Foundation (DFG) [HE-3690/5-1]
  39. National Institutes of Health (NIH) [R01 EY RES 511967]
  40. Academy of Sciences Leopoldina [LPDS 2018-06]
  41. Helmut-Ecker-Foundation [05/17]
  42. German Research Foundation [GR 5065/1-1]
  43. Projekt DEAL
  44. [HHSN268201200008I]
  45. ESRC [ES/L008459/1] Funding Source: UKRI

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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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