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Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error
Open accessAbstract
Refractive errors, including myopia, are the most frequent eye disorders worldwide and an increasingly common cause of blindness. This genome-wide association meta-analysis in 160,420 participants and replication in 95,505 participants increased the number of established independent signals from 37 to 161 and showed high genetic correlation between Europeans and Asians (>0.78). Expression experiments and comprehensive in silico analyses identified retinal cell physiology and light processing as prominent mechanisms, and also identified functional contributions to refractive-error development in all cell types of the neurosensory retina, retinal pigment epithelium, vascular endothelium and extracellular matrix. Newly identified genes implicate novel mechanisms such as rod-and-cone bipolar synaptic neurotransmission, anterior-segment morphology and angiogenesis. Thirty-one loci resided in or near regions transcribing small RNAs, thus suggesting a role for post-transcriptional regulation. Our results support the notion that refractive errors are caused by a light-dependent retina-to-sclera signaling cascade and delineate potential pathobiological molecular drivers. Transancestral GWAS meta-analysis in 160,420 individuals identifies 139 loci associated with refractive error, including myopia. Newly identified genes implicate pathways involved in eye growth and light signaling cascades.
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A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citationA method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
SIFT: predicting amino acid changes that affect protein function
Ng, P. C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg509 · Cited by 6,577
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
Global Prevalence of Myopia and High Myopia and Temporal Trends from 2000 through 2050
Holden, B. A., Fricke, T. R., Wilson, D. A., Jong, M., Naidoo, K. S., Sankaridurg, P., Wong, T. Y., Naduvilath, T. J., & Resnikoff, S. (2016) · Ophthalmology · doi:10.1016/j.ophtha.2016.01.006 · Cited by 5,500
Self-citationMETAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Self-citationCommon polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Cited by
IMI – Report on Experimental Models of Emmetropization and Myopia
Troilo, D., Smith, E. L., Nickla, D. L., Ashby, R., Tkatchenko, A. V., Ostrin, L. A., Gawne, T. J., Pardue, M. T., Summers, J. A., Kee, C.-S., et al. (2019) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.18-25967 · Cited by 487
Objectives, design and main findings until 2020 from the Rotterdam Study
Ikram, M. A., Brusselle, G., Ghanbari, M., Goedegebure, A., Ikram, M. K., Kavousi, M., Kieboom, B. C. T., Klaver, C. C. W., de Knegt, R. J., Luik, A. I., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00640-5 · Cited by 452
Self-citationMudge, J. M., Jungreis, I., Hunt, T., Gonzalez, J. M., Wright, J. C., Kay, M., Davidson, C., Fitzgerald, S., Seal, R., Tweedie, S., et al. (2019) · Genome Research · doi:10.1101/gr.246462.118 · Cited by 80
Evaluation of Shared Genetic Susceptibility to High and Low Myopia and Hyperopia
Tideman, J. W. L., Pärssinen, O., Haarman, A. E. G., Khawaja, A. P., Wedenoja, J., Williams, K. M., Biino, G., Ding, X., Kähönen, M., Lehtimäki, T., et al. (2021) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2021.0497 · Cited by 56
Self-citationVision-related convergent gene losses reveal SERPINE3’s unknown role in the eye
Indrischek, H., Hammer, J., Machate, A., Hecker, N., Kirilenko, B., Roscito, J., Hans, S., Norden, C., Brand, M., & Hiller, M. (2022) · eLife · doi:10.7554/elife.77999 · Cited by 21
Metadata
- Authors
- The CREAM Consortium, Tedja, M. S., 23andMe Research Team, UK Biobank Eye and Vision Consortium, Wojciechowski, R., Hysi, P. G., Eriksson, N., Furlotte, N. A., Verhoeven, V. J. M., Iglesias, A. I., Meester-Smoor, M. A., Tompson, S. W., Fan, Q., Khawaja, A. P., Cheng, C.-Y., Höhn, R., Yamashiro, K., Wenocur, A., Grazal, C., Haller, T., Metspalu, A., Wedenoja, J., Jonas, J. B., Wang, Y. X., Xie, J., Mitchell, P., Foster, P. J., Klein, B. E. K., Klein, R., Paterson, A. D., Hosseini, S. M., Shah, R. L., Williams, C., Teo, Y. Y., Tham, Y. C., Gupta, P., Zhao, W., Shi, Y., Saw, W.-Y., Tai, E.-S., Sim, X. L., Huffman, J. E., Polašek, O., Hayward, C., Bencic, G., Rudan, I., Wilson, J. F., Joshi, P. K., Tsujikawa, A., Matsuda, F., Whisenhunt, K. N., Zeller, T., van der Spek, P. J., Haak, R., Meijers-Heijboer, H., van Leeuwen, E. M., Iyengar, S. K., Lass, J. H., Hofman, A., Rivadeneira, F., Uitterlinden, A. G., Vingerling, J. R., Lehtimäki, T., Raitakari, O. T., Biino, G., Concas, M. P., Schwantes-An, T.-H., Igo, R. P., Cuellar-Partida, G., Martin, N. G., Craig, J. E., Gharahkhani, P., Williams, K. M., Nag, A., Rahi, J. S., Cumberland, P. M., Delcourt, C., Bellenguez, C., Ried, J. S., Bergen, A. A., Meitinger, T., Gieger, C., Wong, T. Y., Hewitt, A. W., Mackey, D. A., Simpson, C. L., Pfeiffer, N., Pärssinen, O., Baird, P. N., Vitart, V., Amin, N., van Duijn, C. M., Bailey-Wilson, J. E., Young, T. L., Saw, S.-M., Stambolian, D., MacGregor, S., Guggenheim, J. A., Tung, J. Y., Hammond, C. J., & Klaver, C. C. W.
- Venue
- Nature Genetics
- Published
- 2018-05-28
- Volume
- 50
- Issue
- 6
- Pages
- 834-848
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2804575948
- Cited by
- 355
- References
- 110
- FWCI
- 23.52
- Type
- journal article
- Language
- en
- Open access
- green
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- The CREAM Consortium, Tedja, M. S., 23andMe Research Team, UK Biobank Eye and Vision Consortium, Wojciechowski, R., Hysi, P. G., Eriksson, N., Furlotte, N. A., Verhoeven, V. J. M., Iglesias, A. I., Meester-Smoor, M. A., Tompson, S. W., Fan, Q., Khawaja, A. P., Cheng, C.-Y., Höhn, R., Yamashiro, K., Wenocur, A., Grazal, C., . . . Klaver, C. C. W. (2018). Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. Nature Genetics. https://doi.org/10.1038/s41588-018-0127-7
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