Ophthalmology (Eye & Ear Hospital) - Research Publications

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    A semi-automated pipeline for quantifying drusen-like deposits in human induced pluripotent stem cell-derived retinal pigment epithelium cells.
    Hall, J ; Daniszewski, M ; Cheung, S ; Shobhana, K ; Kumar, H ; Liang, HH ; Beetham, H ; Cho, E ; Abbott, C ; Hewitt, AW ; Simpson, KJ ; Guymer, RH ; Paull, D ; Pébay, A ; Lidgerwood, GE (Elsevier BV, 2023-08-30)
    Age-Related Macular Degeneration (AMD) is a highly prevalent form of retinal disease amongst Western communities over 50 years of age. A hallmark of AMD pathogenesis is the accumulation of drusen underneath the retinal pigment epithelium (RPE), a biological process also observable in vitro. The accumulation of drusen has been shown to predict the progression to advanced AMD, making accurate characterisation of drusen in vitro models valuable in disease modelling and drug development. More recently, deposits above the RPE in the subretinal space, called reticular pseudodrusen (RPD) have been recognized as a sub-phenotype of AMD. While in vitro imaging techniques allow for the immunostaining of drusen-like deposits, quantification of these deposits often requires slow, low throughput manual counting of images. This further lends itself to issues including sampling biases, while ignoring critical data parameters including volume and precise localization. To overcome these issues, we developed a semi-automated pipeline for quantifying the presence of drusen-like deposits in vitro, using RPE cultures derived from patient-specific induced pluripotent stem cells (iPSCs). Using high-throughput confocal microscopy, together with three-dimensional reconstruction, we developed an imaging and analysis pipeline that quantifies the number of drusen-like deposits, and accurately and reproducibly provides the location and composition of these deposits. Extending its utility, this pipeline can determine whether the drusen-like deposits locate to the apical or basal surface of RPE cells. Here, we validate the utility of this pipeline in the quantification of drusen-like deposits in six iPSCs lines derived from patients with AMD, following their differentiation into RPE cells. This pipeline provides a valuable tool for the in vitro modelling of AMD and other retinal disease, and is amenable to mid and high throughput screenings.
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    RNA-targeting strategies as a platform for ocular gene therapy
    Kumar, S ; Fry, LE ; Wang, J-H ; Martin, KR ; Hewitt, AW ; Chen, FK ; Liu, G-S (Elsevier, 2023-01)
    Genetic medicine is offering hope as new therapies are emerging for many previously untreatable diseases. The eye is at the forefront of these advances, as exemplified by the approval of Luxturna® by the United States Food and Drug Administration (US FDA) in 2017 for the treatment of one form of Leber Congenital Amaurosis (LCA), an inherited blindness. Luxturna® was also the first in vivo human gene therapy to gain US FDA approval. Numerous gene therapy clinical trials are ongoing for other eye diseases, and novel delivery systems, discovery of new drug targets and emerging technologies are currently driving the field forward. Targeting RNA, in particular, is an attractive therapeutic strategy for genetic disease that may have safety advantages over alternative approaches by avoiding permanent changes in the genome. In this regard, antisense oligonucleotides (ASO) and RNA interference (RNAi) are the currently popular strategies for developing RNA-targeted therapeutics. Enthusiasm has been further fuelled by the emergence of clustered regularly interspersed short palindromic repeats (CRISPR)-CRISPR associated (Cas) systems that allow targeted manipulation of nucleic acids. RNA-targeting CRISPR-Cas systems now provide a novel way to develop RNA-targeted therapeutics and may provide superior efficiency and specificity to existing technologies. In addition, RNA base editing technologies using CRISPR-Cas and other modalities also enable precise alteration of single nucleotides. In this review, we showcase advances made by RNA-targeting systems for ocular disease, discuss applications of ASO and RNAi technologies, highlight emerging CRISPR-Cas systems and consider the implications of RNA-targeting therapeutics in the development of future drugs to treat eye disease.
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    Diagnostic yield of candidate genes in an Australian corneal dystrophy cohort
    Souzeau, E ; Siggs, OM ; Mullany, S ; Schmidt, JM ; Hassall, MM ; Dubowsky, A ; Chappell, A ; Breen, J ; Bae, H ; Nicholl, J ; Hadler, J ; Kearns, LS ; Staffieri, SE ; Hewitt, AW ; Mackey, DA ; Gupta, A ; Burdon, KP ; Klebe, S ; Craig, JE ; Mills, RA (WILEY, 2022-10)
    Corneal dystrophies describe a clinically and genetically heterogeneous group of inherited disorders. The International Classification of Corneal Dystrophies (IC3D) lists 22 types of corneal dystrophy, 17 of which have been demonstrated to result from pathogenic variants in 19 identified genes. In this study, we investigated the diagnostic yield of genetic testing in a well-characterised cohort of 58 individuals from 44 families with different types of corneal dystrophy. Individuals diagnosed solely with Fuchs endothelial corneal dystrophy were excluded. Clinical details were obtained from the treating ophthalmologist. Participants and their family members were tested using a gene candidate and exome sequencing approach. We identified a likely molecular diagnosis in 70.5% families (31/44). The detection rate was significantly higher among probands with a family history of corneal dystrophy (15/16, 93.8%) than those without (16/28, 57.1%, p = .015), and among those who had undergone corneal graft surgery (9/9, 100.0%) compared to those who had not (22/35, 62.9%, p = .041). We identified eight novel variants in five genes and identified five families with syndromes associated with corneal dystrophies. Our findings highlight the genetic heterogeneity of corneal dystrophies and the clinical utility of genetic testing in reaching an accurate clinical diagnosis.
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    Attitudes Toward Glaucoma Genetic Risk Assessment in Unaffected Individuals
    Hollitt, GL ; Siggs, OM ; Ridge, B ; Keane, MC ; Mackey, DA ; MacGregor, S ; Hewitt, AW ; Craig, JE ; Souzeau, E (ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2022-10)
    PURPOSE: Integrating polygenic risk scores (PRS) into healthcare has the potential to stratify an individual's risk of glaucoma across a broad population. Glaucoma is the most common cause of irreversible blindness worldwide, therefore effective screening for glaucoma endorsed by the population is highly important. This study assessed the attitude of unaffected individuals toward PRS testing for glaucoma, and sought to identify factors associated with interest in testing. METHODS: We surveyed 418 unaffected individuals including 193 with a first-degree relative with glaucoma, 117 who had a recent eye examination, and 108 general members of the community. RESULTS: Overall, 71.3% of the individuals indicated an interest in taking a polygenic risk test for glaucoma. Interest was more likely in those who believed glaucoma to be a severe medical condition (odds ratio [OR] = 14.58, 95% confidence interval [CI] = 1.15-185.50, P = 0.039), those concerned about developing glaucoma (OR = 4.37, 95% CI = 2.32-8.25, P < 0.001), those with an intention to take appropriate measures regarding eye health (OR = 2.39, 95% CI = 1.16-4.95, P = 0.019), and those preferring to know if considered to be at-risk or not (OR = 4.52, 95% CI = 2.32-8.83, P < 0.001). CONCLUSIONS: Our results show strong interest in genetic risk assessment for glaucoma among unaffected individuals in Australia. TRANSLATIONAL RELEVANCE: These findings represent a valuable assessment of interest in glaucoma polygenic risk testing among potential target populations, which will be integral to the implementation and uptake of novel PRS-based tests into clinical practice.
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    Retinal ganglion cell-specific genetic regulation in primary open-angle glaucoma
    Daniszewski, M ; Senabouth, A ; Liang, HH ; Han, X ; Lidgerwood, GE ; Hernandez, D ; Sivakumaran, P ; Clarke, JE ; Lim, SY ; Lees, JG ; Rooney, L ; Gulluyan, L ; Souzeau, E ; Graham, SL ; Chan, C-L ; Nguyen, U ; Farbehi, N ; Gnanasambandapillai, V ; Mccloy, RA ; Clarke, L ; Kearns, LS ; Mackey, DA ; Craig, JE ; Macgregor, S ; Powell, JE ; Pebay, A ; Hewitt, AW (ELSEVIER, 2022-06-08)
    To assess the transcriptomic profile of disease-specific cell populations, fibroblasts from patients with primary open-angle glaucoma (POAG) were reprogrammed into induced pluripotent stem cells (iPSCs) before being differentiated into retinal organoids and compared with those from healthy individuals. We performed single-cell RNA sequencing of a total of 247,520 cells and identified cluster-specific molecular signatures. Comparing the gene expression profile between cases and controls, we identified novel genetic associations for this blinding disease. Expression quantitative trait mapping identified a total of 4,443 significant loci across all cell types, 312 of which are specific to the retinal ganglion cell subpopulations, which ultimately degenerate in POAG. Transcriptome-wide association analysis identified genes at loci previously associated with POAG, and analysis, conditional on disease status, implicated 97 statistically significant retinal ganglion cell-specific expression quantitative trait loci. This work highlights the power of large-scale iPSC studies to uncover context-specific profiles for a genetically complex disease.
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    A saturated map of common genetic variants associated with human height
    Yengo, L ; Vedantam, S ; Marouli, E ; Sidorenko, J ; Bartell, E ; Sakaue, S ; Graff, M ; Eliasen, AU ; Jiang, Y ; Raghavan, S ; Miao, J ; Arias, JD ; Graham, SE ; Mukamel, RE ; Spracklen, CN ; Yin, X ; Chen, S-H ; Ferreira, T ; Highland, HH ; Ji, Y ; Karaderi, T ; Lin, K ; Lull, K ; Malden, DE ; Medina-Gomez, C ; Machado, M ; Moore, A ; Rueger, S ; Sim, X ; Vrieze, S ; Ahluwalia, TS ; Akiyama, M ; Allison, MA ; Alvarez, M ; Andersen, MK ; Ani, A ; Appadurai, V ; Arbeeva, L ; Bhaskar, S ; Bielak, LF ; Bollepalli, S ; Bonnycastle, LL ; Bork-Jensen, J ; Bradfield, JP ; Bradford, Y ; Braund, PS ; Brody, JA ; Burgdorf, KS ; Cade, BE ; Cai, H ; Cai, Q ; Campbell, A ; Canadas-Garre, M ; Catamo, E ; Chai, J-F ; Chai, X ; Chang, L-C ; Chang, Y-C ; Chen, C-H ; Chesi, A ; Choi, SH ; Chung, R-H ; Cocca, M ; Concas, MP ; Couture, C ; Cuellar-Partida, G ; Danning, R ; Daw, EW ; Degenhard, F ; Delgado, GE ; Delitala, A ; Demirkan, A ; Deng, X ; Devineni, P ; Dietl, A ; Dimitriou, M ; Dimitrov, L ; Dorajoo, R ; Ekici, AB ; Engmann, JE ; Fairhurst-Hunter, Z ; Farmaki, A-E ; Faul, JD ; Fernandez-Lopez, J-C ; Forer, L ; Francescatto, M ; Freitag-Wolf, S ; Fuchsberger, C ; Galesloot, TE ; Gao, Y ; Gao, Z ; Geller, F ; Giannakopoulou, O ; Giulianini, F ; Gjesing, AP ; Goel, A ; Gordon, SD ; Gorski, M ; Grove, J ; Guo, X ; Gustafsson, S ; Haessler, J ; Hansen, TF ; Havulinna, AS ; Haworth, SJ ; He, J ; Heard-Costa, N ; Hebbar, P ; Hindy, G ; Ho, Y-LA ; Hofer, E ; Holliday, E ; Horn, K ; Hornsby, WE ; Hottenga, J-J ; Huang, H ; Huang, J ; Huerta-Chagoya, A ; Huffman, JE ; Hung, Y-J ; Huo, S ; Hwang, MY ; Iha, H ; Ikeda, DD ; Isono, M ; Jackson, AU ; Jager, S ; Jansen, IE ; Johansson, I ; Jonas, JB ; Jonsson, A ; Jorgensen, T ; Kalafati, I-P ; Kanai, M ; Kanoni, S ; Karhus, LL ; Kasturiratne, A ; Katsuya, T ; Kawaguchi, T ; Kember, RL ; Kentistou, KA ; Kim, H-N ; Kim, YJ ; Kleber, ME ; Knol, MJ ; Kurbasic, A ; Lauzon, M ; Le, P ; Lea, R ; Lee, J-Y ; Leonard, HL ; Li, SA ; Li, X ; Li, X ; Liang, J ; Lin, H ; Lin, S-Y ; Liu, J ; Liu, X ; Lo, KS ; Long, J ; Lores-Motta, L ; Luan, J ; Lyssenko, V ; Lyytikainen, L-P ; Mahajan, A ; Mamakou, V ; Mangino, M ; Manichaikul, A ; Marten, J ; Mattheisen, M ; Mavarani, L ; McDaid, AF ; Meidtner, K ; Melendez, TL ; Mercader, JM ; Milaneschi, Y ; Miller, JE ; Millwood, IY ; Mishra, PP ; Mitchell, RE ; Mollehave, LT ; Morgan, A ; Mucha, S ; Munz, M ; Nakatochi, M ; Nelson, CP ; Nethander, M ; Nho, CW ; Nielsen, AA ; Nolte, IM ; Nongmaithem, SS ; Noordam, R ; Ntalla, I ; Nutile, T ; Pandit, A ; Christofidou, P ; Parna, K ; Pauper, M ; Petersen, ERB ; Petersen, L ; Pitkanen, N ; Polasek, O ; Poveda, A ; Preuss, MH ; Pyarajan, S ; Raffield, LM ; Rakugi, H ; Ramirez, J ; Rasheed, A ; Raven, D ; Rayner, NW ; Riveros, C ; Rohde, R ; Ruggiero, D ; Ruotsalainen, SE ; Ryan, KA ; Sabater-Lleal, M ; Saxena, R ; Scholz, M ; Sendamarai, A ; Shen, B ; Shi, J ; Shin, JH ; Sidore, C ; Sitlani, CM ; Slieker, RKC ; Smit, RAJ ; Smith, A ; Smith, JA ; Smyth, LJ ; Southam, LE ; Steinthorsdottir, V ; Sun, L ; Takeuchi, F ; Tallapragada, D ; Taylor, KD ; Tayo, BO ; Tcheandjieu, C ; Terzikhan, N ; Tesolin, P ; Teumer, A ; Theusch, E ; Thompson, DJ ; Thorleifsson, G ; Timmers, PRHJ ; Trompet, S ; Turman, C ; Vaccargiu, S ; van der Laan, SW ; van der Most, PJ ; van Klinken, JB ; van Setten, J ; Verma, SS ; Verweij, N ; Veturi, Y ; Wang, CA ; Wang, C ; Wang, L ; Wang, Z ; Warren, HR ; Wei, WB ; Wickremasinghe, AR ; Wielscher, M ; Wiggins, KL ; Winsvold, BS ; Wong, A ; Wu, Y ; Wuttke, M ; Xia, R ; Xie, T ; Yamamoto, K ; Yang, J ; Yao, J ; Young, H ; Yousri, NA ; Yu, L ; Zeng, L ; Zhang, W ; Zhang, X ; Zhao, J-H ; Zhao, W ; Zhou, W ; Zimmermann, ME ; Zoledziewska, M ; Adair, LS ; Adams, HHH ; Aguilar-Salinas, CA ; Al-Mulla, F ; Arnett, DK ; Asselbergs, FW ; Asvold, BO ; Attia, J ; Banas, B ; Bandinelli, S ; Bennett, DA ; Bergler, T ; Bharadwaj, D ; Biino, G ; Bisgaard, H ; Boerwinkle, E ; Boger, CA ; Bonnelykke, K ; Boomsma, D ; Borglum, AD ; Borja, JB ; Bouchard, C ; Bowden, DW ; Brandslund, I ; Brumpton, B ; Buring, JE ; Caulfield, MJ ; Chambers, JC ; Chandak, GR ; Chanock, SJ ; Chaturvedi, N ; Chen, Y-DI ; Chen, Z ; Cheng, C-Y ; Christophersen, IE ; Ciullo, M ; Cole, JW ; Collins, FS ; Cooper, RS ; Cruz, M ; Cucca, F ; Cupples, LA ; Cutler, MJ ; Damrauer, SM ; Dantoft, TM ; de Borst, GJ ; de Groot, LCPGM ; De Jager, PL ; de Kleijn, DP ; de Silva, HJ ; Dedoussis, G ; den Hollander, A ; Du, S ; Easton, DF ; Elders, PJM ; Eliassen, AH ; Ellinor, PT ; Elmstahl, S ; Erdmann, J ; Evans, MK ; Fatkin, D ; Feenstra, B ; Feitosa, MF ; Ferrucci, L ; Ford, I ; Fornage, M ; Franke, A ; Franks, PW ; Freedman, B ; Gasparini, P ; Gieger, C ; Girotto, G ; Goddard, ME ; Golightly, YM ; Gonzalez-Villalpando, C ; Gordon-Larsen, P ; Grallert, H ; Grant, SFA ; Grarup, N ; Griffiths, L ; Gudnason, V ; Haiman, C ; Hakonarson, H ; Hansen, T ; Hartman, CA ; Hattersley, AT ; Hayward, C ; Heckbert, SR ; Heng, C-K ; Hengstenberg, C ; Hewitt, AW ; Hishigaki, H ; Hoyng, CB ; Huang, PL ; Huang, W ; Hunt, SC ; Hveem, K ; Hypponen, E ; Iacono, WG ; Ichihara, S ; Ikram, MA ; Isasi, CR ; Jackson, RD ; Jarvelin, M-R ; Jin, Z-B ; Jockel, K-H ; Joshi, PK ; Jousilahti, P ; Jukema, JW ; Kahonen, M ; Kamatani, Y ; Kang, KD ; Kaprio, J ; Kardia, SLR ; Karpe, F ; Kato, N ; Kee, F ; Kessler, T ; Khera, A ; Khor, CC ; Kiemeney, LALM ; Kim, B-J ; Kim, EK ; Kim, H-L ; Kirchhof, P ; Kivimaki, M ; Koh, W-P ; Koistinen, HA ; Kolovou, GD ; Kooner, JS ; Kooperberg, C ; Kottgen, A ; Kovacs, P ; Kraaijeveld, A ; Kraft, P ; Krauss, RM ; Kumari, M ; Kutalik, Z ; Laakso, M ; Lange, LA ; Langenberg, C ; Launer, LJ ; Le Marchand, L ; Lee, H ; Lee, NR ; Lehtimaki, T ; Li, H ; Li, L ; Lieb, W ; Lin, X ; Lind, L ; Linneberg, A ; Liu, C-T ; Liu, J ; Loeffler, M ; London, B ; Lubitz, SA ; Lye, SJ ; Mackey, DA ; Magi, R ; Magnusson, PKE ; Marcus, GM ; Vidal, PM ; Martin, NG ; Marz, W ; Matsuda, F ; McGarrah, RW ; McGue, M ; McKnight, AJ ; Medland, SE ; Mellstrom, D ; Metspalu, A ; Mitchell, BD ; Mitchell, P ; Mook-Kanamori, DO ; Morris, AD ; Mucci, LA ; Munroe, PB ; Nalls, MA ; Nazarian, S ; Nelson, AE ; Neville, MJ ; Newton-Cheh, C ; Nielsen, CS ; Nothen, MM ; Ohlsson, C ; Oldehinkel, AJ ; Orozco, L ; Pahkala, K ; Pajukanta, P ; Palmer, CNA ; Parra, EJ ; Pattaro, C ; Pedersen, O ; Pennell, CE ; Penninx, BWJH ; Perusse, L ; Peters, A ; Peyser, PA ; Porteous, DJ ; Posthuma, D ; Power, C ; Pramstaller, PP ; Province, MA ; Qi, Q ; Qu, J ; Rader, DJ ; Raitakari, OT ; Ralhan, S ; Rallidis, LS ; Rao, DC ; Redline, S ; Reilly, DF ; Reiner, AP ; Rhee, SY ; Ridker, PM ; Rienstra, M ; Ripatti, S ; Ritchie, MD ; Roden, DM ; Rosendaal, FR ; Rotter, J ; Rudan, I ; Rutters, F ; Sabanayagam, C ; Saleheen, D ; Salomaa, V ; Samani, NJ ; Sanghera, DK ; Sattar, N ; Schmidt, B ; Schmidt, H ; Schmidt, R ; Schulze, MB ; Schunkert, H ; Scott, LJ ; Scott, RJ ; Sever, P ; Shiroma, EJ ; Shoemaker, MB ; Shu, X-O ; Simonsick, EM ; Sims, M ; Singh, JR ; Singleton, AB ; Sinner, MF ; Smith, JG ; Snieder, H ; Spector, TD ; Stampfer, MJ ; Stark, KJ ; Strachan, DP ; t' Hart, LM ; Tabara, Y ; Tang, H ; Tardif, J-C ; Thanaraj, TA ; Timpson, NJ ; Tonjes, A ; Tremblay, A ; Tuomi, T ; Tuomilehto, J ; Tusie-Luna, M-T ; Uitterlinden, AG ; van Dam, RM ; van der Harst, P ; Van der Velde, N ; van Duijn, CM ; van Schoor, NM ; Vitart, V ; Volker, U ; Vollenweider, P ; Volzke, H ; Wacher-Rodarte, NH ; Walker, M ; Wang, YX ; Wareham, NJ ; Watanabe, RM ; Watkins, H ; Weir, DR ; Werge, TM ; Widen, E ; Wilkens, LR ; Willemsen, G ; Willett, WC ; Wilson, JF ; Wong, T-Y ; Woo, J-T ; Wright, AF ; Wu, J-Y ; Xu, H ; Yajnik, CS ; Yokota, M ; Yuan, J-M ; Zeggini, E ; Zemel, BS ; Zheng, W ; Zhu, X ; Zmuda, JM ; Zonderman, AB ; Zwart, J-A ; Chasman, D ; Cho, YS ; Heid, IM ; McCarthy, M ; Ng, MCY ; O'Donnell, CJ ; Rivadeneira, F ; Thorsteinsdottir, U ; Sun, Y ; Tai, ES ; Boehnke, M ; Deloukas, P ; Justice, AE ; Lindgren, CM ; Loos, RJF ; Mohlke, KL ; North, KE ; Stefansson, K ; Walters, RG ; Winkler, TW ; Young, KL ; Loh, P-R ; Yang, J ; Esko, T ; Assimes, TL ; Auton, A ; Abecasis, GR ; Willer, CJ ; Locke, AE ; Berndt, S ; Lettre, G ; Frayling, TM ; Okada, Y ; Wood, AR ; Visscher, PM ; Hirschhorn, JN (NATURE PORTFOLIO, 2022-10-27)
    Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.
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    The APOE E4 Allele Is Associated with Faster Rates of Neuroretinal Thinning in a Prospective Cohort Study of Suspect and Early Glaucoma
    Mullany, S ; Marshall, H ; Diaz-Torres, S ; Berry, EC ; Schmidt, JM ; Thomson, D ; Qassim, A ; To, M-S ; Dimasi, D ; Kuot, A ; Knight, LSW ; Hollitt, G ; Kolovos, A ; Schulz, A ; Lake, S ; Mills, RA ; Agar, A ; Galanopoulos, A ; Landers, J ; Mitchell, P ; Healey, PR ; Graham, SL ; Hewitt, AW ; Souzeau, E ; Hassall, MM ; Klebe, S ; MacGregor, S ; Gharahkhani, P ; Casson, RJ ; Siggs, OM ; Craig, JE (Elsevier, 2022-06)
    Purpose: To investigate the association between the apolipoprotein E (APOE) E4 dementia-risk allele and prospective longitudinal retinal thinning in a cohort study of suspect and early manifest glaucoma. Design: Retrospective analysis of prospective cohort data. Participants: This study included all available eyes from participants recruited to the Progression Risk of Glaucoma: Relevant SNPs [single nucleotide polymorphisms] with Significant Association (PROGRESSA) study with genotyping data from which APOE genotypes could be determined. Methods: Apolipoprotein E alleles and genotypes were determined in PROGRESSA, and their distributions were compared with an age-matched and ancestrally matched normative cohort, the Blue Mountains Eye Study. Structural parameters of neuroretinal atrophy measured using spectral-domain OCT were compared within the PROGRESSA cohort on the basis of APOE E4 allele status. Main Outcome Measures: Longitudinal rates of thinning in the macular ganglion cell–inner plexiform layer (mGCIPL) complex and the peripapillary retinal nerve fiber layer (pRNFL). Results: Rates of mGCIPL complex thinning were faster in participants harboring ≥1 copies of the APOE E4 allele (β = –0.13 μm/year; P ≤0.001). This finding was strongest in eyes affected by normal-tension glaucoma (NTG; β = –0.20 μm/year; P = 0.003). Apolipoprotein E E4 allele carriers were also more likely to be lost to follow-up (P = 0.01) and to demonstrate a thinner average mGCIPL complex (70.9 μm vs. 71.9 μm; P = 0.011) and pRNFL (77.6 μm vs. 79.2 μm; P = 0.045) after a minimum of 3 years of monitoring. Conclusions: The APOE E4 allele was associated with faster rates of mCGIPL complex thinning, particularly in eyes with NTG. These results suggest that the APOE E4 allele may be a risk factor for retinal ganglion cell degeneration in glaucoma.
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    Transcriptomic and proteomic retinal pigment epithelium signatures of age-related macular degeneration
    Senabouth, A ; Daniszewski, M ; Lidgerwood, GE ; Liang, HH ; Hernandez, D ; Mirzaei, M ; Keenan, SN ; Zhang, R ; Han, X ; Neavin, D ; Rooney, L ; Sanchez, MIGL ; Gulluyan, L ; Paulo, JA ; Clarke, L ; Kearns, LS ; Gnanasambandapillai, V ; Chan, C-L ; Nguyen, U ; Steinmann, AM ; McCloy, RA ; Farbehi, N ; Gupta, VK ; Mackey, DA ; Bylsma, G ; Verma, N ; MacGregor, S ; Watt, MJ ; Guymer, RH ; Powell, JE ; Hewitt, AW ; Pebay, A (NATURE PORTFOLIO, 2022-07-26)
    There are currently no treatments for geographic atrophy, the advanced form of age-related macular degeneration. Hence, innovative studies are needed to model this condition and prevent or delay its progression. Induced pluripotent stem cells generated from patients with geographic atrophy and healthy individuals were differentiated to retinal pigment epithelium. Integrating transcriptional profiles of 127,659 retinal pigment epithelium cells generated from 43 individuals with geographic atrophy and 36 controls with genotype data, we identify 445 expression quantitative trait loci in cis that are asssociated with disease status and specific to retinal pigment epithelium subpopulations. Transcriptomics and proteomics approaches identify molecular pathways significantly upregulated in geographic atrophy, including in mitochondrial functions, metabolic pathways and extracellular cellular matrix reorganization. Five significant protein quantitative trait loci that regulate protein expression in the retinal pigment epithelium and in geographic atrophy are identified - two of which share variants with cis- expression quantitative trait loci, including proteins involved in mitochondrial biology and neurodegeneration. Investigation of mitochondrial metabolism confirms mitochondrial dysfunction as a core constitutive difference of the retinal pigment epithelium from patients with geographic atrophy. This study uncovers important differences in retinal pigment epithelium homeostasis associated with geographic atrophy.
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    The Relationship Between Fetal Growth and Retinal Nerve Fiber Layer Thickness in a Cohort of Young Adults
    Dyer, KIC ; Sanfilippo, PG ; Yazar, S ; Craig, JE ; Hewitt, AW ; Newnham, JP ; Mackey, DA ; Lee, SSY (ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2022-07)
    PURPOSE: To explore relationships between patterns of fetal anthropometric growth, as reflective of fetal wellbeing, and global retinal nerve fiber layer (RNFL) thickness measured in young adulthood. METHODS: Participants (n = 481) from within a Western Australian pregnancy cohort study underwent five serial ultrasound scans during gestation, with fetal biometry measured at each scan. Optic disc parameters were measured via spectral-domain optical coherence tomography imaging at a 20-year follow-up eye examination. Generalized estimating equations were used to evaluate differences in global RNFL thickness between groups of participants who had undergone similar growth trajectories based on fetal head circumference (FHC), abdominal circumference (FAC), femur length (FFL), and estimated fetal weight (EFW). RESULTS: Participants with consistently large FHCs throughout gestation had significantly thicker global RNFLs than those with any other pattern of FHC growth (P = 0.023), even after adjustment for potential confounders (P = 0.037). Based on model fit statistics, FHC growth trajectory was a better predictor of global RNFL thickness than birth weight or head circumference at birth. RNFL thickness did not vary significantly between groups of participants with different growth trajectories based on FAC, FFL, or EFW. CONCLUSIONS: FHC growth is associated with RNFL thickness in young adulthood and, moreover, is a better predictor than either birth weight or head circumference at birth. TRANSLATIONAL RELEVANCE: This research demonstrates an association between intrauterine growth and long-term optic nerve health, providing a basis for further exploring the extent of the influence of fetal wellbeing on clinical conditions linked to RNFL thinning.
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    Sonic Hedgehog Intron Variant Associated With an Unusual Pediatric Cortical Cataract
    Young, TL ; Whisenhunt, KN ; LaMartina, SM ; Hewitt, AW ; Mackey, DA ; Tompson, SW (ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2022-06)
    PURPOSE: To identify the genetic basis of an unusual pediatric cortical cataract demonstrating autosomal dominant inheritance in a large European-Australian pedigree. METHODS: DNA from four affected individuals were exome sequenced utilizing a NimbleGen SeqCap EZ Exome V3 kit and HiSeq 2500. DNA from 12 affected and four unaffected individuals were genotyped using Human OmniExpress-24 BeadChips. Multipoint linkage and haplotyping were performed (Superlink-Online SNP). DNA from one affected individual and his unaffected father were whole-genome sequenced on a HiSeq X Ten system. Rare small insertions/deletions and single-nucleotide variants (SNVs) were identified in the disease-linked region (Golden Helix SVS). Combined Annotation Dependent Depletion (CADD) analysis predicted variant deleteriousness. Putative enhancer function and variant effects were determined using the Dual-Glo Luciferase Assay system. RESULTS: Linkage mapping identified a 6.23-centimorgan support interval at chromosome 7q36. A co-segregating haplotype refined the critical region to 6.03 Mbp containing 21 protein-coding genes. Whole-genome sequencing uncovered 114 noncoding variants from which CADD predicted one was highly deleterious, a novel substitution within intron-1 of the sonic hedgehog signaling molecule (SHH) gene. ENCODE data suggested this site was a putative enhancer, subsequently confirmed by luciferase reporter assays with variant-associated gene overexpression. CONCLUSIONS: In a large pedigree, we have identified a SHH intron variant that co-segregates with an unusual pediatric cortical cataract phenotype. SHH is important for lens formation, and mutations in its receptor (PTCH1) cause syndromic cataract. Our data implicate increased function of an enhancer important for SHH expression primarily within developing eye tissues.