5 research outputs found
A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants.
This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.3448Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.We thank all participants of all the studies included for enabling this research by their participation in these studies. Computer resources for this project have been provided by the high-performance computing centers of the University of Michigan and the University of Regensburg. Group-specific acknowledgments can be found in the Supplementary Note. The Center for Inherited Diseases Research (CIDR) Program contract number is HHSN268201200008I. This and the main consortium work were predominantly funded by 1X01HG006934-01 to G.R.A. and R01 EY022310 to J.L.H
Verteporfin therapy of subfoveal choroidal neovascularization in patients with age-related macular degeneration - Additional information regarding baseline lesion composition's impact on vision outcomes - TAP report No. 3
To explore how baseline lesion composition influenced vision outcomes in patients with age-related macular degeneration (AMD) undergoing photodynamic therapy with verteporfin (Visudyne) for subfoveal choroidal neovascularization (CNV) in the Treatment of Age-Related Macular Degeneration With Photodynamic Therapy Investigation
Verteporfin therapy of subfoveal choroidal neovascularization in patients with age-related macular degeneration : additional information regarding baseline lesion composition's impact on vision outcomes-TAP report no. 3
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Verteporfin therapy of subfoveal choroidal neovascularization in age-related macular degeneration: meta-analysis of 2-year safety results in three randomized clinical trials: Treatment Of Age-Related Macular Degeneration With Photodynamic Therapy and Verteporfin In Photodynamic Therapy Study Report no. 4
We sought to evaluate the detailed safety profile of photodynamic therapy with verteporfin in patients with subfoveal choroidal neovascularization (CNV) caused by age-related macular degeneration (ARMD) from the combined analysis of three multicenter, double-masked, placebo-controlled, randomized 24-month clinical trials of similar design (TAP Investigation Studies A and B and the VIP ARMD Trial), and to clarify the adverse reaction information in the current verteporfin product prescription information approved in the United States.
Nine hundred forty-eight patients were randomly assigned to verteporfin or placebo. Treatment was administered as described in previous reports. All general entry criteria were similar, so systemic safety results were combined for this analysis. Entry criteria for CNV lesion composition and visual acuity in the two TAP Investigation trials was different from those used in the VIP ARMD trial, so ocular safety results for the treated eye were not combined.
The percentage of patients who experienced at least one ocular or nonocular adverse event, regardless of relationship to therapy, was similar between the verteporfin and placebo groups (92.3 and 89.1%, respectively, P = 0.114). The overall incidence of study eye adverse events was not significantly different between verteporfin and placebo. The only clinically relevant ocular adverse events reported with higher incidence after verteporfin compared with placebo were visual disturbances (22.1 versus 15.5% in TAP [P = 0.054] and 41.7 and 22.8% in VIP [P < 0.001]). Acute severe visual acuity decrease (defined as a visual acuity letter score decrease of at least 20, equivalent to at least four-line decrease, within 7 days of therapy) occurred in 3 patients treated with verteporfin in the TAP Investigation (0.7%) and 11 in the VIP ARMD trial (4.9%). Systemic adverse events with increased incidence after verteporfin compared with placebo, most of which were transient and mild or moderate, were injection site reactions (13.1 versus 5.6%; P < 0.001), photosensitivity reactions (2.4 versus 0.3%; P = 0.016), and infusion-related back pain (2.4 versus 0%; P = 0.004). No clinically relevant difference was observed between the verteporfin and placebo groups in any other adverse event.
In 948 ARMD patients, verteporfin therapy had an overall safety profile similar to that for placebo, with a few exceptions. Visual disturbances, including acute severe visual acuity decrease, did not affect the net vision outcome benefits associated with treatment that has been reported previously. This detailed safety profile of verteporfin therapy clarifies the adverse reaction information in the current verteporfin product prescription information
Pathway Analysis Integrating Genome-Wide and Functional Data Identifies PLCG2 as a Candidate Gene for Age-Related Macular Degeneration
PURPOSE. Age-related macular degeneration (AMD) is the worldwide leading cause of blindness among the elderly. Although genome-wide association studies (GWAS) have identified AMD risk variants, their roles in disease etiology are not well-characterized, and they only explain a portion of AMD heritability. METHODS. We performed pathway analyses using summary statistics from the International AMD Genomics Consortium's 2016 GWAS and multiple pathway databases to identify biological pathways wherein genetic association signals for AMD may be aggregating. We determined which genes contributed most to significant pathway signals across the databases. We characterized these genes by constructing protein-protein interaction networks and performing motif analysis. RESULTS. We determined that eight genes (C2, C3, LIPC, MICA, NOTCH4, PLCG2, PPARA, and RAD51B) drive'' the statistical signals observed across pathways curated in the Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Gene Ontology (GO) databases. We further refined our definition of statistical driver gene to identify PLCG2 as a candidate gene for AMD due to its significant gene-level signals (P < 0.0001) across KEGG, Reactome, GO, and NetPath pathways. CONCLUSIONS. We performed pathway analyses on the largest available collection of advanced AMD cases and controls in the world. Eight genes strongly contributed to significant pathways from the three larger databases, and one gene (PLCG2) was central to significant pathways from all four databases. This is, to our knowledge, the first study to identify PLCG2 as a candidate gene for AMD based solely on genetic burden. Our findings reinforce the utility of integrating in silico genetic and biological pathway data to investigate the genetic architecture of AMD