PURPOSE: To genetically characterize a subphenotype of geographic atrophy (GA) in AMD associated with rapid progression and a diffuse-trickling appearance on fundus autofluorescence imaging. METHODS: Patients from the Fundus Autofluorescence in Age-Related Macular Degeneration Study were phenotyped for diffuse-trickling GA (dt-GA; n = 44). DNA was analyzed for 10 known AMD-associated genetic variants. A genetic risk score (GRS) was calculated and compared with patients with nondiffuse-trickling GA (ndt-GA; n = 311) and individuals from the 1000 genomes project (1000G; n = 267). Given the phenotypic overlap between diffuse-trickling and late-onset retinal degeneration (LORD), all C1QTNF5 exons and their exon/intron boundaries were sequenced. RESULTS: A statistically significant difference in allele frequencies between dt-GA and ndt-GA were found for CFH:rs1061170 and CFH:rs800292 (Pcorrected = 0.03). The ARMS2 variant rs10490924 was significantly more frequent in dt-GA than in 1000G individuals (Pcorrected < 0.01). The GRS of dt-GA patients was in-between the score of the 1000G individuals and that of patients with ndt-GA, significantly differing from both (Pcorrected <0.01). Sequencing of C1QTNF5 revealed 28 unique variants although none showed a statistically significant association with dt-GA when compared with 1000G individuals. CONCLUSIONS: The dt-GA phenotype shows a remarkably different genetic risk profile from other GA phenotypes secondary to AMD. Disease-associated C1QTNF5 mutations were not identified. Together, these results suggest that the dt-GA phenotype is associated with a genetic background substantially different from other GA phenotypes and underlines the necessity to refine the clinical phenotyping, specifically when aiming for individualized therapies in AMD.
PURPOSE: To genetically characterize a subphenotype of geographic atrophy (GA) in AMD associated with rapid progression and a diffuse-trickling appearance on fundus autofluorescence imaging. METHODS:Patients from the Fundus Autofluorescence in Age-Related Macular Degeneration Study were phenotyped for diffuse-trickling GA (dt-GA; n = 44). DNA was analyzed for 10 known AMD-associated genetic variants. A genetic risk score (GRS) was calculated and compared with patients with nondiffuse-trickling GA (ndt-GA; n = 311) and individuals from the 1000 genomes project (1000G; n = 267). Given the phenotypic overlap between diffuse-trickling and late-onset retinal degeneration (LORD), all C1QTNF5 exons and their exon/intron boundaries were sequenced. RESULTS: A statistically significant difference in allele frequencies between dt-GA and ndt-GA were found for CFH:rs1061170 and CFH:rs800292 (Pcorrected = 0.03). The ARMS2 variant rs10490924 was significantly more frequent in dt-GA than in 1000G individuals (Pcorrected < 0.01). The GRS of dt-GApatients was in-between the score of the 1000G individuals and that of patients with ndt-GA, significantly differing from both (Pcorrected <0.01). Sequencing of C1QTNF5 revealed 28 unique variants although none showed a statistically significant association with dt-GA when compared with 1000G individuals. CONCLUSIONS: The dt-GA phenotype shows a remarkably different genetic risk profile from other GA phenotypes secondary to AMD. Disease-associated C1QTNF5 mutations were not identified. Together, these results suggest that the dt-GA phenotype is associated with a genetic background substantially different from other GA phenotypes and underlines the necessity to refine the clinical phenotyping, specifically when aiming for individualized therapies in AMD.
Authors: Maximilian Pfau; Leon von der Emde; Luis de Sisternes; Joelle A Hallak; Theodore Leng; Steffen Schmitz-Valckenberg; Frank G Holz; Monika Fleckenstein; Daniel L Rubin Journal: JAMA Ophthalmol Date: 2020-10-01 Impact factor: 7.389
Authors: Janan Arslan; Gihan Samarasinghe; Kurt K Benke; Arcot Sowmya; Zhichao Wu; Robyn H Guymer; Paul N Baird Journal: Transl Vis Sci Technol Date: 2020-10-26 Impact factor: 3.283
Authors: Maximilian Pfau; Soumya Sahu; Rawan Allozi Rupnow; Kathleen Romond; Desiree Millet; Frank G Holz; Steffen Schmitz-Valckenberg; Monika Fleckenstein; Jennifer I Lim; Luis de Sisternes; Theodore Leng; Daniel L Rubin; Joelle A Hallak Journal: Transl Vis Sci Technol Date: 2021-06-01 Impact factor: 3.283