» Articles » PMID: 18653607

Heritability of Intraocular Pressure: a Classical Twin Study

Overview
Journal Br J Ophthalmol
Specialty Ophthalmology
Date 2008 Jul 26
PMID 18653607
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

Aims: To estimate the heritability of intraocular pressure (IOP) by performing a classical twin study and to determine whether the use of different instruments influences calculation of eye IOP heritability.

Methods: Twin pairs were recruited to participate from the TwinsUK Adult Twin Registry at St. Thomas' Hospital London. IOP was measured using Goldmann applanation tonometry (GAT). A subset of twins also had their IOP measured using the Ocular Response Analyser (ORA; Reichert, Buffalo, NY) and the Dynamic Contour Tonometer (DCT, Pascal; Swiss Microtechnology AG, Port, Switzerland). We compared the covariance of IOP within monozygotic (MZ) and dizygotic (DZ) pairs using genetic modelling techniques to determine the relative contribution of genes and environment to the variation in IOP seen in this population.

Results: Data for 422 twin pairs (211 MZ; 211 DZ) were analysed. The mean IOP for GAT was 15.4 (SD 2.7) mm Hg (range: 8.7-26.2 mm Hg). The MZ correlations were significantly higher than DZ for IOP measured by GAT, DCT and ORA (correlation coefficients: GAT: 0.57:0.39, DCT: 0.62:0.36, Goldmann-correlated ORA (IOPg) 0.73:0.47, for MZ:DZ twins, respectively). Modelling suggested heritability for GAT IOP of 0.62, with individual environmental factors accounting for 0.38 of the variation.

Conclusion: This study demonstrated that genetic effects are important in determining IOP in this twin population. IOP readings differed depending upon the instrument used, and this resulted in different heritability values; genetic factors explained 62%, 63% and 74% of the variation in IOP using GAT, DCT and ORA IOPg, respectively. Environmental factors determined the remainder of the variation.

Citing Articles

Alcohol Consumption, Genetic Risk, and Intraocular Pressure and Glaucoma: The Canadian Longitudinal Study on Aging.

Grant A, Roy-Gagnon M, Bastasic J, Talekar A, Jessri M, Li G Invest Ophthalmol Vis Sci. 2023; 64(10):3.

PMID: 37405759 PMC: 10327959. DOI: 10.1167/iovs.64.10.3.


ANGPTL7, a therapeutic target for increased intraocular pressure and glaucoma.

Praveen K, Patel G, Gurski L, Ayer A, Persaud T, Still M Commun Biol. 2022; 5(1):1051.

PMID: 36192519 PMC: 9529959. DOI: 10.1038/s42003-022-03932-6.


Systems Genetics of Optic Nerve Axon Necrosis During Glaucoma.

Stiemke A, Sah E, Simpson R, Lu L, Williams R, Jablonski M Front Genet. 2020; 11:31.

PMID: 32174956 PMC: 7056908. DOI: 10.3389/fgene.2020.00031.


Fast Model-Fitting of Bayesian Variable Selection Regression Using the Iterative Complex Factorization Algorithm.

Zhou Q, Guan Y Bayesian Anal. 2019; 14(2):573-594.

PMID: 31608133 PMC: 6788783. DOI: 10.1214/18-BA1120.


Polymorphisms rs693421 and rs2499601 at locus 1q43 and their haplotypes are not associated with primary open-angle glaucoma: a case-control study.

Kondkar A, Azad T, Sultan T, Al-Mobarak F, Kalantan H, Al-Obeidan S BMC Res Notes. 2019; 12(1):453.

PMID: 31337432 PMC: 6651941. DOI: 10.1186/s13104-019-4491-x.