Page 122 - Read Online
P. 122
Ratnapriya. J Transl Genet Genom 2022;6:240-256 https://dx.doi.org/10.20517/jtgg.2021.54 Page 256
99. Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 2008;9:559. DOI
PubMed PMC
100. Gusev A, Ko A, Shi H, et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet 2016;48:245-
52. DOI PubMed PMC
101. Lawlor DA, Harbord RM, Sterne JAC, Timpson N, Davey Smith G. Mendelian randomization: using genes as instruments for
making causal inferences in epidemiology. Statist Med 2008;27:1133-63. DOI PubMed
102. Peng YR, Shekhar K, Yan W, et al. Molecular classification and comparative taxonomics of foveal and peripheral cells in primate
retina. Cell 2019;176:1222-37.e22. DOI PubMed PMC
103. Menon M, Mohammadi S, Davila-Velderrain J, et al. Single-cell transcriptomic atlas of the human retina identifies cell types
associated with age-related macular degeneration. Nat Commun 2019;10:4902. DOI PubMed PMC
104. van der Wijst M, de Vries DH, Groot HE, et al. The single-cell eQTLGen consortium. Elife 2020;9:e52155. DOI PubMed PMC
105. Sisternes L, Simon N, Tibshirani R, Leng T, Rubin DL. Quantitative SD-OCT imaging biomarkers as indicators of age-related
macular degeneration progression. Invest Ophthalmol Vis Sci 2014;55:7093. DOI PubMed
106. Niu S, de Sisternes L, Chen Q, Rubin DL, Leng T. Fully automated prediction of geographic atrophy growth using quantitative
spectral-domain optical coherence tomography biomarkers. Ophthalmology 2016;123:1737-50. DOI PubMed
107. Lai TT, Hsieh YT, Yang CM, Ho TC, Yang CH. Biomarkers of optical coherence tomography in evaluating the treatment outcomes
of neovascular age-related macular degeneration: a real-world study. Sci Rep 2019;9:529. DOI PubMed PMC
108. Lambert NG, ElShelmani H, Singh MK, et al. Risk factors and biomarkers of age-related macular degeneration. Prog Retin Eye Res
2016;54:64-102. DOI PubMed PMC
109. Lauwen S, de Jong EK, Lefeber DJ, den Hollander Al. Omics biomarkers in ophthalmology. Invest Ophthalmol Vis Sci
2017;58:BIO88-98. DOI PubMed
110. Kersten E, Paun CC, Schellevis RL, et al. Systemic and ocular fluid compounds as potential biomarkers in age-related macular
degeneration. Surv Ophthalmol 2018;63:9-39. DOI PubMed
111. Bailey JN, Hoffman JD, Sardell RJ, Scott WK, Pericak-Vance MA, Haines JL. The application of genetic risk scores in age-related
macular degeneration: a review. J Clin Med 2016;5:31. DOI PubMed PMC
112. Heesterbeek TJ, Lorés-Motta L, Hoyng CB, Lechanteur YTE, den Hollander AI. Risk factors for progression of age-related macular
degeneration. Ophthalmic Physiol Opt 2020;40:140-70. DOI PubMed PMC
113. Lewis CM, Vassos E. Polygenic risk scores: from research tools to clinical instruments. Genome Med 2020;12:44. DOI PubMed
PMC
114. Ding Y, Liu Y, Yan Q, et al; AREDS2 Research Group. Bivariate analysis of age-related macular degeneration progression using
genetic risk scores. Genetics 2017;206:119-33. DOI PubMed PMC
115. Peng Y, Keenan TD, Chen Q, et al. Predicting risk of late age-related macular degeneration using deep learning. NPJ Digit Med
2020;3:111. DOI PubMed PMC
116. Yan Q, Weeks DE, Xin H, et al. Deep-learning-based prediction of late age-related macular degeneration progression. Nat Mach
Intell 2020;2:141-50. DOI PubMed PMC
117. Geerlings MJ, de Jong EK, den Hollander AI. The complement system in age-related macular degeneration: a review of rare genetic
variants and implications for personalized treatment. Mol Immunol 2017;84:65-76. DOI PubMed PMC
118. Ratnapriya R. Applications of genomic technologies in retinal degenerative diseases. Adv Exp Med Biol 2019;1185:281-5. DOI
PubMed
119. Handa JT, Bowes Rickman C, Dick AD, et al. A systems biology approach towards understanding and treating non-neovascular age-
related macular degeneration. Nat Commun 2019;10:3347. DOI PubMed PMC