Through genetic analysis of case-control cohorts there has been remarkable progress in identifying genes for Age-Related Macular Degeneration. Most of these identifications have been accomplished through the interrogation of common variants. We will initiate the identification of rare variants in a founder population, the Amish, and use the whole exome chip to assess the association of Age-related Macular Degeneration with coding variants. We will further refine the Age-Related Macular Degeneration phenotype through the use of modern imaging, the OCT, to visualize the early anatomic signs of Age-Related Macular Degeneration. We hypothesize there are endophenotypes associated with specific genotypes that can be used to determine Age-related Macular Degeneration progression. These endophenotypes are hypothesized to be influenced by a combination of common and rare variants. Following the completion of these Aims, we will have phenotypically defined the early signs of Age-Related Macular Degeneration aiding our understanding of this disease. Moreover, we will relate these signs to genotypes to define the role of genetics in the progression of Age-Related Macular Degeneration and a new risk profile incorporating genotypic information.

Public Health Relevance

Identification of the genes for Age-related Macular Degeneration has made remarkable progress. Still, there is a need to discover more genes that can inform additional biological pathways beyond the complement system. There is also an urgency to identify early anatomical defects that can be used as biomarkers for progression of disease. This proposal aims to define the early clinical signs of Age-related Macular Degeneration and identify rare variants with large impact on disease progression to both improve patient care and our overall understanding of Age-related Macular Degeneration.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY023164-02
Application #
8605190
Study Section
Special Emphasis Panel (ZEY1)
Program Officer
Shen, Grace L
Project Start
2013-02-01
Project End
2018-01-31
Budget Start
2014-05-01
Budget End
2015-01-31
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Li, Mingyao; Zauhar, Randy J; Grazal, Clare et al. (2017) RNA expression in human retina. Hum Mol Genet 26:R68-R74
Hou, Liping; Kember, Rachel L; Roach, Jared C et al. (2017) A population-specific reference panel empowers genetic studies of Anabaptist populations. Sci Rep 7:6079
Balasubramanian, Siva; Lei, Jianqin; Nittala, Muneeswar G et al. (2017) ASSOCIATION OF DRUSEN VOLUME WITH CHOROIDAL PARAMETERS IN NONNEOVASCULAR AGE-RELATED MACULAR DEGENERATION. Retina 37:1880-1887
Cooke Bailey, Jessica N; Hoffman, Joshua D; Sardell, Rebecca J et al. (2016) The Application of Genetic Risk Scores in Age-Related Macular Degeneration: A Review. J Clin Med 5:
Sardell, Rebecca J; Nittala, Muneeswar G; Adams, Larry D et al. (2016) Heritability of Choroidal Thickness in the Amish. Ophthalmology 123:2537-2544
Hughes, Anne E; Bridgett, Stephen; Meng, Weihua et al. (2016) Sequence and Expression of Complement Factor H Gene Cluster Variants and Their Roles in Age-Related Macular Degeneration Risk. Invest Ophthalmol Vis Sci 57:2763-9
Chavali, Venkata Ramana Murthy; Diniz, Bruno; Huang, Jiayan et al. (2015) Association of OCT derived drusen measurements with AMD associated-genotypic SNPs in Amish population. J Clin Med 4:304-317
Tian, Lifeng; Kazmierkiewicz, Krista L; Bowman, Anita S et al. (2015) Transcriptome of the human retina, retinal pigmented epithelium and choroid. Genomics 105:253-64
Diniz, B; Rodger, D C; Chavali, V R et al. (2015) Drusen and RPE atrophy automated quantification by optical coherence tomography in an elderly population. Eye (Lond) 29:272-9
Fritsche, Lars G; Fariss, Robert N; Stambolian, Dwight et al. (2014) Age-related macular degeneration: genetics and biology coming together. Annu Rev Genomics Hum Genet 15:151-71

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