Centre for Eye Research Australia (CERA) - Research Publications

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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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    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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    Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression
    Craig, JE ; Han, X ; Qassim, A ; Hassall, M ; Bailey, JNC ; Kinzy, TG ; Khawaja, AP ; An, J ; Marshall, H ; Gharahkhani, P ; Igo, RP ; Graham, SL ; Healey, PR ; Ong, J-S ; Zhou, T ; Siggs, O ; Law, MH ; Souzeau, E ; Ridge, B ; Hysi, PG ; Burdon, KP ; Mills, RA ; Landers, J ; Ruddle, JB ; Agar, A ; Galanopoulos, A ; White, AJR ; Willoughby, CE ; Andrew, NH ; Best, S ; Vincent, AL ; Goldberg, I ; Radford-Smith, G ; Martin, NG ; Montgomery, GW ; Vitart, V ; Hoehn, R ; Wojciechowski, R ; Jonas, JB ; Aung, T ; Pasquale, LR ; Cree, AJ ; Sivaprasad, S ; Vallabh, NA ; Viswanathan, AC ; Pasutto, F ; Haines, JL ; Klaver, CCW ; van Duijn, CM ; Casson, RJ ; Foster, PJ ; Khaw, PT ; Hammond, CJ ; Mackey, DA ; Mitchell, P ; Lotery, AJ ; Wiggs, JL ; Hewitt, AW ; MacGregor, S (NATURE PORTFOLIO, 2020-02)
    Glaucoma, a disease characterized by progressive optic nerve degeneration, can be prevented through timely diagnosis and treatment. We characterize optic nerve photographs of 67,040 UK Biobank participants and use a multitrait genetic model to identify risk loci for glaucoma. A glaucoma polygenic risk score (PRS) enables effective risk stratification in unselected glaucoma cases and modifies penetrance of the MYOC variant encoding p.Gln368Ter, the most common glaucoma-associated myocilin variant. In the unselected glaucoma population, individuals in the top PRS decile reach an absolute risk for glaucoma 10 years earlier than the bottom decile and are at 15-fold increased risk of developing advanced glaucoma (top 10% versus remaining 90%, odds ratio = 4.20). The PRS predicts glaucoma progression in prospectively monitored, early manifest glaucoma cases (P = 0.004) and surgical intervention in advanced disease (P = 3.6 × 10-6). This glaucoma PRS will facilitate the development of a personalized approach for earlier treatment of high-risk individuals, with less intensive monitoring and treatment being possible for lower-risk groups.
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    Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error
    Fan, Q ; Pozarickij, A ; Tan, NYQ ; Guo, X ; Verhoeven, VJM ; Vitart, V ; Guggenheim, JA ; Miyake, M ; Tideman, JWL ; Khawaja, AP ; Zhang, L ; MacGregor, S ; Hoehn, R ; Chen, P ; Biino, G ; Wedenoja, J ; Saffari, SE ; Tedja, MS ; Xie, J ; Lanca, C ; Wang, YX ; Sahebjada, S ; Mazur, J ; Mirshahi, A ; Martin, NG ; Yazar, S ; Pennell, CE ; Yap, M ; Haarman, AEG ; Enthoven, CA ; Polling, J ; Hewitt, AW ; Jaddoe, VWV ; van Duijn, CM ; Hayward, C ; Polasek, O ; Tai, E-S ; Yoshikatsu, H ; Hysi, PG ; Young, TL ; Tsujikawa, A ; Wang, JJ ; Mitchell, P ; Pfeiffer, N ; Parssinen, O ; Foster, PJ ; Fossarello, M ; Yip, SP ; Williams, C ; Hammond, CJ ; Jonas, JB ; He, M ; Mackey, DA ; Wong, T-Y ; Klaver, CCW ; Saw, S-M ; Baird, PN ; Cheng, C-Y (NATURE PORTFOLIO, 2020-03-19)
    Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia.