Population Stratification Strategies in Artificial Intelligence-based Glaucoma Monitoring, "corneal Anthropology" to Bridge Gap Between Genetics and Clinics?
Overview
Overview
Authors
Authors
Affiliations
Affiliations
Soon will be listed here.
References
1.
Lee R, Kao A, Kasuga T, Vo B, Cui Q, Chiu C
. Ethnic variation in optic disc size by fundus photography. Curr Eye Res. 2013; 38(11):1142-7.
DOI: 10.3109/02713683.2013.809123.
View
2.
Han X, Steven K, Qassim A, Marshall H, Bean C, Tremeer M
. Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA. Am J Hum Genet. 2021; 108(7):1204-1216.
PMC: 8322932.
DOI: 10.1016/j.ajhg.2021.05.005.
View
3.
Padhukasahasram B
. Inferring ancestry from population genomic data and its applications. Front Genet. 2014; 5:204.
PMC: 4080679.
DOI: 10.3389/fgene.2014.00204.
View
4.
Crowston J, Hopley C, Healey P, Lee A, Mitchell P
. The effect of optic disc diameter on vertical cup to disc ratio percentiles in a population based cohort: the Blue Mountains Eye Study. Br J Ophthalmol. 2004; 88(6):766-70.
PMC: 1772203.
DOI: 10.1136/bjo.2003.028548.
View
5.
Lesk M, Hafez A, Descovich D
. Relationship between central corneal thickness and changes of optic nerve head topography and blood flow after intraocular pressure reduction in open-angle glaucoma and ocular hypertension. Arch Ophthalmol. 2006; 124(11):1568-72.
DOI: 10.1001/archopht.124.11.1568.
View