4.6 Article

Genome-Wide Association Study Reveals Variants in CFH and CFHR4 Associated with Systemic Complement Activation

Journal

OPHTHALMOLOGY
Volume 125, Issue 7, Pages 1064-1074

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ophtha.2017.12.023

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Funding

  1. European Research Council (the European Union's Seventh Framework Programme [FP]/European Research Council grant) [310644]
  2. European Union's Horizon 2020 research and innovation programme/European Research Council [737607]
  3. Foundation Fighting Blindness, Columbia, Maryland [C-GE-0811-0548-RAD04]
  4. Stichting A. F. Deutman Oogheelkunde Researchfonds Nijmegen (Nijmegen, Gelderland, The Netherlands)
  5. National Institutes of Health, Bethesda, Maryland [R01 EY022310]
  6. NATIONAL EYE INSTITUTE [R01EY022310] Funding Source: NIH RePORTER

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Purpose: To identify genetic variants associated with complement activation, which may help to select age-related macular degeneration (AMD) patients for complement-inhibiting therapies. Design: Genome-wide association study (GWAS) followed by replication and meta-analysis. Participants: AMD patients and controls (n = 2245). Methods: A GWAS on serum C3d-to-C3 ratio was performed in 1548 AMD patients and controls. For replication and meta-analysis, 697 additional individuals were genotyped. A model for complement activation including genetic and non-genetic factors was built, and the variance explained was estimated. Haplotype analysis was performed for 8 SNPs across the CFH/CFHR locus. Association with AMD was performed for the variants and haplotypes found to influence complement activation. Main Outcome Measures: Normalized C3d/C3 ratio as a measure of systemic complement activation. Results: Complement activation was associated independently with rs3753396 located in CFH (P-discovery 1.09 x 10(-15),; P-meta = 3.66 x 10(-2)1; p = 0.141; standard error [SE] = 0.015) and rs6685931 located in CFHR4 (P-discovery 8.18 x 10(-7),; P-meta= 6.32 x 10-8; p = 0.054; SE = 0.010). A model including age, AMD disease status, body mass index, triglycerides, rs3753396, rs6685931, and previously identified SNPs explained 18.7%of the variability in complement activation. Haplotype analysis revealed 3 haplotypes (H1-2 and H6 containing rs6685931 and H3 containing rs3753396) associated with complement activation. Haplotypes H3 and H6 conferred stronger effects on complement activation compared with the single variants (P = 2.53 x 10(-14); beta= 0.183; SE = 0.024; and P = 4.28 x 10(-4); beta = 0.144; SE = 0.041; respectively). Association analyses with AMD revealed that SNP rs6685931 and haplotype H1-2 containing rs6685931 were associated with a risk for AMD development, whereas SNP rs3753396 and haplotypes H3 and H6 were not. Conclusions: The SNP rs3753396 in CFH and SNP rs6685931 in CFHR4 are associated with systemic complement activation levels. The SNP rs6685931 in CFHR4 and its linked haplotype H1-2 also conferred a risk for AMD development, and therefore could be used to identify AMD patients who would benefit most from complement-inhibiting therapies. (C) 2018 by the American Academy of Ophthalmology.

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