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Cameron H, Marshall D. Estimating the relationship between fitness and metabolic rate: which rate should we use? Philos Trans R Soc Lond B Biol Sci 2024; 379:20220491. [PMID: 38186283 PMCID: PMC10772602 DOI: 10.1098/rstb.2022.0491] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/29/2023] [Indexed: 01/09/2024] Open
Abstract
As physiologists seek to better understand how and why metabolism varies, they have focused on how metabolic rate covaries with fitness-that is, selection. Evolutionary biologists have developed a sophisticated framework for exploring selection, but there are particular challenges associated with estimating selection on metabolic rate owing to its allometric relationship with body mass. Most researchers estimate selection on mass and absolute metabolic rate; or selection on mass and mass-independent metabolic rate (MIMR)-the residuals generated from a nonlinear regression. These approaches are sometimes treated as synonymous: their coefficients are often interpreted in the same way. Here, we show that these approaches are not equivalent because absolute metabolic rate and MIMR are different traits. We also show that it is difficult to make sound biological inferences about selection on absolute metabolic rate because its causal relationship with mass is enigmatic. By contrast, MIMR requires less-desirable statistical practices (i.e. residuals as a predictor), but provides clearer causal pathways. Moreover, we argue that estimates of selection on MIMR have more meaningful interpretations for physiologists interested in the drivers of variation in metabolic allometry. This article is part of the theme issue 'The evolutionary significance of variation in metabolic rates'.
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Affiliation(s)
- Hayley Cameron
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia
| | - Dustin Marshall
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia
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2
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Gao XR, Chiariglione M, Choquet H, Arch AJ. 10 Years of GWAS in intraocular pressure. Front Genet 2023; 14:1130106. [PMID: 37124618 PMCID: PMC10130654 DOI: 10.3389/fgene.2023.1130106] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/05/2023] [Indexed: 05/02/2023] Open
Abstract
Intraocular pressure (IOP) is the only modifiable risk factor for glaucoma, the leading cause of irreversible blindness worldwide. In this review, we summarize the findings of genome-wide association studies (GWASs) of IOP published in the past 10 years and prior to December 2022. Over 190 genetic loci and candidate genes associated with IOP have been uncovered through GWASs, although most of these studies were conducted in subjects of European and Asian ancestries. We also discuss how these common variants have been used to derive polygenic risk scores for predicting IOP and glaucoma, and to infer causal relationship with other traits and conditions through Mendelian randomization. Additionally, we summarize the findings from a recent large-scale exome-wide association study (ExWAS) that identified rare variants associated with IOP in 40 novel genes, six of which are drug targets for clinical treatment or are being evaluated in clinical trials. Finally, we discuss the need for future genetic studies of IOP to include individuals from understudied populations, including Latinos and Africans, in order to fully characterize the genetic architecture of IOP.
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Affiliation(s)
- Xiaoyi Raymond Gao
- Department of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, OH, United States
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
- Division of Human Genetics, The Ohio State University, Columbus, OH, United States
| | - Marion Chiariglione
- Department of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, OH, United States
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Alexander J. Arch
- Department of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, OH, United States
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3
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Fowler S, Wang T, Munro D, Kumar A, Chitre AS, Hollingsworth TJ, Garcia Martinez A, St. Pierre CL, Bimschleger H, Gao J, Cheng R, Mohammadi P, Chen H, Palmer AA, Polesskaya O, Jablonski MM. Genome-wide association study finds multiple loci associated with intraocular pressure in HS rats. Front Genet 2023; 13:1029058. [PMID: 36793389 PMCID: PMC9922724 DOI: 10.3389/fgene.2022.1029058] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/28/2022] [Indexed: 02/03/2023] Open
Abstract
Elevated intraocular pressure (IOP) is influenced by environmental and genetic factors. Increased IOP is a major risk factor for most types of glaucoma, including primary open angle glaucoma (POAG). Investigating the genetic basis of IOP may lead to a better understanding of the molecular mechanisms of POAG. The goal of this study was to identify genetic loci involved in regulating IOP using outbred heterogeneous stock (HS) rats. HS rats are a multigenerational outbred population derived from eight inbred strains that have been fully sequenced. This population is ideal for a genome-wide association study (GWAS) owing to the accumulated recombinations among well-defined haplotypes, the relatively high allele frequencies, the accessibility to a large collection of tissue samples, and the large allelic effect size compared to human studies. Both male and female HS rats (N = 1,812) were used in the study. Genotyping-by-sequencing was used to obtain ∼3.5 million single nucleotide polymorphisms (SNP) from each individual. SNP heritability for IOP in HS rats was 0.32, which agrees with other studies. We performed a GWAS for the IOP phenotype using a linear mixed model and used permutation to determine a genome-wide significance threshold. We identified three genome-wide significant loci for IOP on chromosomes 1, 5, and 16. Next, we sequenced the mRNA of 51 whole eye samples to find cis-eQTLs to aid in identification of candidate genes. We report 5 candidate genes within those loci: Tyr, Ctsc, Plekhf2, Ndufaf6 and Angpt2. Tyr, Ndufaf6 and Angpt2 genes have been previously implicated by human GWAS of IOP-related conditions. Ctsc and Plekhf2 genes represent novel findings that may provide new insight into the molecular basis of IOP. This study highlights the efficacy of HS rats for investigating the genetics of elevated IOP and identifying potential candidate genes for future functional testing.
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Affiliation(s)
- Samuel Fowler
- Hamilton Eye Institute Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United states
| | - Tengfei Wang
- Department of Pharmacology, Addiction Science and Toxicology, University of Tennessee Health Science Center, Memphis, Tennessee, United states
| | - Daniel Munro
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states,Department of Integrative Structural and Computational Biology, Scripps Research, San Diego, California, United states
| | - Aman Kumar
- Hamilton Eye Institute Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United states
| | - Apurva S. Chitre
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states
| | - T. J. Hollingsworth
- Hamilton Eye Institute Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United states
| | - Angel Garcia Martinez
- Department of Pharmacology, Addiction Science and Toxicology, University of Tennessee Health Science Center, Memphis, Tennessee, United states
| | - Celine L. St. Pierre
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states
| | - Hannah Bimschleger
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states
| | - Jianjun Gao
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states
| | - Riyan Cheng
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states
| | - Pejman Mohammadi
- Department of Integrative Structural and Computational Biology, Scripps Research, San Diego, California, United states,Scripps Research Translational Institute, Scripps Research, San Diego, California, United states
| | - Hao Chen
- Department of Pharmacology, Addiction Science and Toxicology, University of Tennessee Health Science Center, Memphis, Tennessee, United states
| | - Abraham A. Palmer
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states,Institute for Genomic Medicine, University of California, San Diego, San Diego, California, United states
| | - Oksana Polesskaya
- Department of Psychiatry, University of California, San Diego, San Diego, California, United states
| | - Monica M. Jablonski
- Hamilton Eye Institute Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United states,*Correspondence: Monica M. Jablonski,
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Plotnikov D, Cui J, Clark R, Wedenoja J, Pärssinen O, Tideman JWL, Jonas JB, Wang Y, Rudan I, Young TL, Mackey DA, Terry L, Williams C, Guggenheim JA. Genetic Variants Associated With Human Eye Size Are Distinct From Those Conferring Susceptibility to Myopia. Invest Ophthalmol Vis Sci 2021; 62:24. [PMID: 34698770 PMCID: PMC8556552 DOI: 10.1167/iovs.62.13.24] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Purpose Emmetropization requires coordinated scaling of the major ocular components, corneal curvature and axial length. This coordination is achieved in part through a shared set of genetic variants that regulate eye size. Poorly coordinated scaling of corneal curvature and axial length results in refractive error. We tested the hypothesis that genetic variants regulating eye size in emmetropic eyes are distinct from those conferring susceptibility to refractive error. Methods A genome-wide association study (GWAS) for corneal curvature in 22,180 adult emmetropic individuals was performed as a proxy for a GWAS for eye size. A polygenic score created using lead GWAS variants was tested for association with corneal curvature and axial length in an independent sample: 437 classified as emmetropic and 637 as ametropic. The genetic correlation between eye size and refractive error was calculated using linkage disequilibrium score regression for approximately 1 million genetic variants. Results The GWAS for corneal curvature in emmetropes identified 32 independent genetic variants (P < 5.0e-08). A polygenic score created using these 32 genetic markers explained 3.5% (P < 0.001) and 2.0% (P = 0.001) of the variance in corneal curvature and axial length, respectively, in the independent sample of emmetropic individuals but was not predictive of these traits in ametropic individuals. The genetic correlation between eye size and refractive error was close to zero (rg = 0.00; SE = 0.06; P = 0.95). Conclusions These results support the hypothesis that genetic variants regulating eye size in emmetropic eyes do not overlap with those conferring susceptibility to myopia. This suggests that distinct biological pathways regulate normal eye growth and myopia development.
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Affiliation(s)
- Denis Plotnikov
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom.,Central Research Laboratory, Kazan State Medical University, Kazan, Russia
| | - Jiangtian Cui
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - Rosie Clark
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - Juho Wedenoja
- Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Olavi Pärssinen
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - J Willem L Tideman
- Department of Ophthalmology, Erasmus Medical Centre, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.,Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
| | - Yaxing Wang
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Igor Rudan
- Centre for Global Health and WHO Collaborating Centre, University of Edinburgh, United Kingdom
| | - Terri L Young
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia
| | - Louise Terry
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - Cathy Williams
- Centre for Academic Child Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Jeremy A Guggenheim
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom
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Abstract
Intraocular pressure (IOP) is the cardinal and only modifiable risk factor for glaucoma, the leading cause of irreparable blindness worldwide. Twin and family studies estimate the heritability of IOP to be 40-70%, and linkage studies for IOP have identified numerous loci. Mutations in MYOC can cause markedly elevated IOP and aggressive glaucoma often requiring surgical intervention. However, the majority of the genetic basis for raised IOP and glaucoma in populations is complex, and recent large genome-wide association studies (GWASs) have identified over 100 common variants that contribute to IOP variation. In combination, these loci are predictive for primary open-angle glaucoma in independent populations, achieving an area under the receiver operating characteristic curve of 76% for high-pressure primary open-angle glaucoma; this suggests the possibility of targeted screening in the future. Additionally, GWAS findings have identified important biological pathways underlying IOP regulation, including lymphangiogenesis and lipid metabolism, providing novel targets for new therapies. Expected final online publication date for the Annual Review of Vision Science, Volume 7 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Zihe Xu
- Department of Ophthalmology, King's College London, London SE5 9RS, United Kingdom.,Department of Twin Research & Genetic Epidemiology, King's College London, London SE5 9RS, United Kingdom
| | - Pirro Hysi
- Department of Ophthalmology, King's College London, London SE5 9RS, United Kingdom.,Department of Twin Research & Genetic Epidemiology, King's College London, London SE5 9RS, United Kingdom
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London EC1V 2PD, UK;
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Hwang HS, Park G, Heo JW, Kim MK, Baek S, Cho B. Estimating heritability of refractive error in Koreans: the Korea National Health and Nutrition Examination Survey. Acta Ophthalmol 2019; 97:e248-e255. [PMID: 30207075 DOI: 10.1111/aos.13915] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Accepted: 08/09/2018] [Indexed: 01/11/2023]
Abstract
PURPOSE To estimate the familial correlation and heritability of refractive error in general Korean population. METHODS From the Korea National Health and Nutrition Examination Survey, 13 258 subjects of 7920 families, who were aged ≥19 years, were included in the study. Using variance components analysis, the additive genetic effect, or heritability, and the common and unique environmental effects on refractive error were examined, adopting common environments shared by cohabiting family or by siblings. RESULTS The proportions of hyperopia, myopia and high myopia in Koreans were 0.8%, 45.2% and 5.7% respectively. The correlation coefficients of spherical equivalent (SE) were 0.257 for parent-offspring pairs, 0.410 for sibling pairs and 0.112 for spouse pairs (p < 0.001 for all). Common environment shared by siblings affected the variation of SE significantly (p < 0.001), but that shared by cohabitants did not (p = 0.395). Adopting common environment shared by siblings, the heritability, common environmental effect and unique environmental effect of refractive error were 42.1 ± 3.3%, 11.8 ± 3.5% and 46.1 ± 3.9% respectively. Heritabilities of hyperopia, myopia and high myopia were 45.7%, 44.3% and 68.9% respectively. Adjusted odds ratios of myopia among offspring were 3.78 given one parent has myopia and 4.43 when both parents have myopia. CONCLUSION Refractive error is influenced by common environment shared by siblings. The heritability of refractive error is higher for high myopia than for myopia or hyperopia.
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Affiliation(s)
- Ho Sik Hwang
- Department of Ophthalmology Chuncheon Sacred Heart Hospital Hallym University College of Medicine Chuncheon Korea
| | - Gyeong‐Hun Park
- Department of Dermatology Dongtan Sacred Heart Hospital Hallym University College of Medicine Hwaseong Korea
| | - Jang Won Heo
- Department of Ophthalmology Seoul National University College of Medicine Seoul Korea
| | - Mee Kum Kim
- Department of Ophthalmology Seoul National University College of Medicine Seoul Korea
| | - Seung‐Hee Baek
- Department of Ophthalmology Kim's Eye Hospital Konyang University College of Medicine Seoul Korea
| | - Bum‐Joo Cho
- Department of Ophthalmology Chuncheon Sacred Heart Hospital Hallym University College of Medicine Chuncheon Korea
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Ponzi E, Keller LF, Bonnet T, Muff S. Heritability, selection, and the response to selection in the presence of phenotypic measurement error: Effects, cures, and the role of repeated measurements. Evolution 2018; 72:1992-2004. [DOI: 10.1111/evo.13573] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 07/12/2018] [Accepted: 07/12/2018] [Indexed: 02/02/2023]
Affiliation(s)
- Erica Ponzi
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZürichWinterthurerstrasse 190 8057 Zürich Switzerland
- Department of Biostatistics, Epidemiology, Biostatistics and Prevention InstituteUniversity of ZürichHirschengraben 84 8001 Zürich Switzerland
| | - Lukas F. Keller
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZürichWinterthurerstrasse 190 8057 Zürich Switzerland
- Zoological MuseumUniversity of ZürichKarl‐Schmid‐Strasse 4 8006 Zürich Switzerland
| | - Timothée Bonnet
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZürichWinterthurerstrasse 190 8057 Zürich Switzerland
- Division of Ecology and Evolution, Research School of BiologyThe Australian National UniversityActon Canberra ACT 2601 Australia
| | - Stefanie Muff
- Department of Evolutionary Biology and Environmental StudiesUniversity of ZürichWinterthurerstrasse 190 8057 Zürich Switzerland
- Department of Biostatistics, Epidemiology, Biostatistics and Prevention InstituteUniversity of ZürichHirschengraben 84 8001 Zürich Switzerland
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Abstract
Intraocular pressure (IOP) is the primary risk factor for developing glaucoma, yet little is known about the contribution of genomic background to IOP regulation. The present study leverages an array of systems genetics tools to study genomic factors modulating normal IOP in the mouse. The BXD recombinant inbred (RI) strain set was used to identify genomic loci modulating IOP. We measured the IOP in a total of 506 eyes from 38 different strains. Strain averages were subjected to conventional quantitative trait analysis by means of composite interval mapping. Candidate genes were defined, and immunohistochemistry and quantitative PCR (qPCR) were used for validation. Of the 38 BXD strains examined the mean IOP ranged from a low of 13.2mmHg to a high of 17.1mmHg. The means for each strain were used to calculate a genome wide interval map. One significant quantitative trait locus (QTL) was found on Chr.8 (96 to 103 Mb). Within this 7 Mb region only 4 annotated genes were found: Gm15679, Cdh8, Cdh11 and Gm8730. Only two genes (Cdh8 and Cdh11) were candidates for modulating IOP based on the presence of non-synonymous SNPs. Further examination using SIFT (Sorting Intolerant From Tolerant) analysis revealed that the SNPs in Cdh8 (Cadherin 8) were predicted to not change protein function; while the SNPs in Cdh11 (Cadherin 11) would not be tolerated, affecting protein function. Furthermore, immunohistochemistry demonstrated that CDH11 is expressed in the trabecular meshwork of the mouse. We have examined the genomic regulation of IOP in the BXD RI strain set and found one significant QTL on Chr. 8. Within this QTL, there is one good candidate gene, Cdh11.
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9
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Racz A, Toth GZ, Tarnoki AD, Tarnoki DL, Littvay L, Suveges I, Nagy ZZ, Nemeth J. The inheritance of corneal endothelial cell density. Ophthalmic Genet 2016; 37:281-4. [DOI: 10.3109/13816810.2015.1045524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Adel Racz
- Department of Ophthalmology, Peterfy Sandor Hospital, Budapest, Hungary
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | | | - Adam Domonkos Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - David Laszlo Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - Levente Littvay
- Hungarian Twin Registry, Budapest, Hungary
- Central European University, Budapest, Hungary
| | - Ildiko Suveges
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | - Zoltán Zsolt Nagy
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | - Janos Nemeth
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
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Ajtony C, Elkarmouty A, Barton K, Kotecha A. Applanation tonometry: interobserver and prism agreement using the reusable Goldmann applanation prism and the Tonosafe disposable prism. Br J Ophthalmol 2015; 100:848-53. [DOI: 10.1136/bjophthalmol-2015-307240] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 09/07/2015] [Indexed: 01/09/2023]
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11
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Kotecha A, Elkarmouty A, Ajtony C, Barton K. Interobserver agreement using Goldmann applanation tonometry and dynamic contour tonometry: comparing ophthalmologists, nurses and technicians. Br J Ophthalmol 2015; 100:854-9. [DOI: 10.1136/bjophthalmol-2015-307219] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 09/07/2015] [Indexed: 11/03/2022]
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12
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Li Q, Wojciechowski R, Simpson CL, Hysi PG, Verhoeven VJM, Ikram MK, Höhn R, Vitart V, Hewitt AW, Oexle K, Mäkelä KM, MacGregor S, Pirastu M, Fan Q, Cheng CY, St Pourcain B, McMahon G, Kemp JP, Northstone K, Rahi JS, Cumberland PM, Martin NG, Sanfilippo PG, Lu Y, Wang YX, Hayward C, Polašek O, Campbell H, Bencic G, Wright AF, Wedenoja J, Zeller T, Schillert A, Mirshahi A, Lackner K, Yip SP, Yap MKH, Ried JS, Gieger C, Murgia F, Wilson JF, Fleck B, Yazar S, Vingerling JR, Hofman A, Uitterlinden A, Rivadeneira F, Amin N, Karssen L, Oostra BA, Zhou X, Teo YY, Tai ES, Vithana E, Barathi V, Zheng Y, Siantar RG, Neelam K, Shin Y, Lam J, Yonova-Doing E, Venturini C, Hosseini SM, Wong HS, Lehtimäki T, Kähönen M, Raitakari O, Timpson NJ, Evans DM, Khor CC, Aung T, Young TL, Mitchell P, Klein B, van Duijn CM, Meitinger T, Jonas JB, Baird PN, Mackey DA, Wong TY, Saw SM, Pärssinen O, Stambolian D, Hammond CJ, Klaver CCW, Williams C, Paterson AD, Bailey-Wilson JE, Guggenheim JA. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium. Hum Genet 2015; 134:131-46. [PMID: 25367360 PMCID: PMC4291519 DOI: 10.1007/s00439-014-1500-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Accepted: 09/30/2014] [Indexed: 11/24/2022]
Abstract
To identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295); White Europeans aged <25 years (4 cohorts, N = 5,640); and all independent individuals from the above three samples combined with a sample of Chinese subjects aged <25 years (N = 45,931). Participants were classified as cases with refractive astigmatism if the average cylinder power in their two eyes was at least 1.00 diopter and as controls otherwise. Genome-wide association analysis was carried out for each cohort separately using logistic regression. Meta-analysis was conducted using a fixed effects model. In the older European group the most strongly associated marker was downstream of the neurexin-1 (NRXN1) gene (rs1401327, P = 3.92E-8). No other region reached genome-wide significance, and association signals were lower for the younger European group and Asian group. In the meta-analysis of all cohorts, no marker reached genome-wide significance: The most strongly associated regions were, NRXN1 (rs1401327, P = 2.93E-07), TOX (rs7823467, P = 3.47E-07) and LINC00340 (rs12212674, P = 1.49E-06). For 34 markers identified in prior GWAS for spherical equivalent refractive error, the beta coefficients for genotype versus spherical equivalent, and genotype versus refractive astigmatism, were highly correlated (r = -0.59, P = 2.10E-04). This work revealed no consistent or strong genetic signals for refractive astigmatism; however, the TOX gene region previously identified in GWAS for spherical equivalent refractive error was the second most strongly associated region. Analysis of additional markers provided evidence supporting widespread genetic co-susceptibility for spherical and astigmatic refractive errors.
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Affiliation(s)
- Qing Li
- National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD 21224 USA
| | - Robert Wojciechowski
- National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD 21224 USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
- Wilmer Eye Institute, Johns Hopkins Medical Institutions, Baltimore, MD USA
| | - Claire L. Simpson
- National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD 21224 USA
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Hospital Campus, London, UK
| | - Virginie J. M. Verhoeven
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Mohammad Kamran Ikram
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - René Höhn
- Department of Ophthalmology, University Medical Center Mainz, Mainz, Germany
- Klinik Pallas, Olten, Switzerland
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU UK
| | - Alex W. Hewitt
- Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Konrad Oexle
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Kari-Matti Mäkelä
- Department of Clinical Chemistry, Filmlab laboratories, Tampere University Hospital and School of Medicine, University of Tampere, 33520 Tampere, Finland
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute Royal Brisbane Hospital, Brisbane, Australia
| | - Mario Pirastu
- Institute of Population Genetics CNR, Traversa La Crucca, 3-07040 Reg. Baldinca, Li Punti, Sassari, Italy
| | - Qiao Fan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Beaté St Pourcain
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN UK
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
| | - George McMahon
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN UK
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
| | - John P. Kemp
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN UK
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
| | - Kate Northstone
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
| | - Jugnoo S. Rahi
- Centre of Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
- Institute of Ophthalmology, University College London, London, UK
- Ulverscroft Vision Research Group, UCL Institute of Child Health, London, UK
| | - Phillippa M. Cumberland
- Centre of Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
- Ulverscroft Vision Research Group, UCL Institute of Child Health, London, UK
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute Royal Brisbane Hospital, Brisbane, Australia
| | - Paul G. Sanfilippo
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Yi Lu
- Statistical Genetics, QIMR Berghofer Medical Research Institute Royal Brisbane Hospital, Brisbane, Australia
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing, China
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU UK
| | - Ozren Polašek
- Faculty of Medicine, University of Split, Split, Croatia
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, EH8 9AG UK
| | - Goran Bencic
- Department of Ophthalmology, Sisters of Mercy University Hospital, Zagreb, Croatia
| | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU UK
| | - Juho Wedenoja
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Department of Ophthalmology, Helsinki University Central Hospital, Helsinki, Finland
| | - Tanja Zeller
- University Heart Center Hamburg, Clinic for general and interventional Cardiology, Hamburg, Germany
| | - Arne Schillert
- Institute for Medical Biometry and Statistics, Universität zu Lübeck, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Alireza Mirshahi
- Department of Ophthalmology, University Medical Center Mainz, Mainz, Germany
- Dardenne Eye Hospital, Bonn, Germany
| | - Karl Lackner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Mainz, Mainz, Germany
| | - Shea Ping Yip
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong SAR, China
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Maurice K. H. Yap
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Janina S. Ried
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Federico Murgia
- Institute of Population Genetics CNR, Traversa La Crucca, 3-07040 Reg. Baldinca, Li Punti, Sassari, Italy
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, EH8 9AG UK
| | - Brian Fleck
- Princess Alexandra Eye Pavilion, Edinburgh, EH3 9HA UK
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
| | | | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
| | - André Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lennart Karssen
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ben A. Oostra
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Xin Zhou
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
| | - E. Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
| | - Eranga Vithana
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Neuroscience and Behavioural Disorders (NBD) Program, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Veluchamy Barathi
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
| | | | | | - Kumari Neelam
- Singapore Eye Research Institute, Singapore, Singapore
| | - Youchan Shin
- Singapore Eye Research Institute, Singapore, Singapore
| | - Janice Lam
- Singapore Eye Research Institute, Singapore, Singapore
| | - Ekaterina Yonova-Doing
- Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Hospital Campus, London, UK
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Hospital Campus, London, UK
- Institute of Ophthalmology, University College London, London, UK
| | - S. Mohsen Hosseini
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, PGCRL Rm 12.9835, 686 Bay Street, Toronto, ON M5G 0A4 Canada
| | - Hoi-Suen Wong
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, PGCRL Rm 12.9835, 686 Bay Street, Toronto, ON M5G 0A4 Canada
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Filmlab laboratories, Tampere University Hospital and School of Medicine, University of Tampere, 33520 Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, 33521 Tampere, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20041 Turku, Finland
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN UK
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
| | - David M. Evans
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN UK
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
- Translational Research Institute, University of Queensland Diamantina Institute, Brisbane, QLD Australia
| | - Chiea-Chuen Khor
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Tin Aung
- Singapore Eye Research Institute, Singapore, Singapore
| | - Terri L. Young
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
- Duke Eye Center, Duke University School of Medicine, Durham, NC USA
| | - Paul Mitchell
- University of Sydney, Sydney, Australia
- Western Sydney Local Health Network, Sydney, Australia
- Westmead Millennium Institute, Westmead, Australia
| | - Barbara Klein
- Ophthalmology and Visual Sciences, Ocular Epidemiology, University of Wisconsin-Madison, 610 North Walnut Street, Room 409, Madison, WI 53726 USA
| | | | - Thomas Meitinger
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jost B. Jonas
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Lab, Beijing, China
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karls-University of Heidelberg, Mannheim, Germany
| | - Paul N. Baird
- Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - David A. Mackey
- Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Seang-Mei Saw
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
| | - Olavi Pärssinen
- Department of Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
- Department of Ophthalmology, Central Hospital of Central Finland, Jyväskylä, Finland
| | - Dwight Stambolian
- University of Pennsylvania School of Medicine, Rm. 314 Stellar Chance Labs, 422 Curie Blvd, Philadelphia, PA 19104 USA
| | - Christopher J. Hammond
- Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Hospital Campus, London, UK
- Department of Ophthalmology, King’s College London, St Thomas’ Hospital Campus, London, UK
| | - Caroline C. W. Klaver
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cathy Williams
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
| | - Andrew D. Paterson
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, PGCRL Rm 12.9835, 686 Bay Street, Toronto, ON M5G 0A4 Canada
- Dala Lanna School of Public Health, University of Toronto, Toronto, ON Canada
| | - Joan E. Bailey-Wilson
- National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD 21224 USA
| | - Jeremy A. Guggenheim
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - The CREAM Consortium
- National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD 21224 USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
- Wilmer Eye Institute, Johns Hopkins Medical Institutions, Baltimore, MD USA
- Department of Twin Research and Genetic Epidemiology, King’s College London, St Thomas’ Hospital Campus, London, UK
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Singapore Eye Research Institute, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore
- Department of Ophthalmology, University Medical Center Mainz, Mainz, Germany
- Klinik Pallas, Olten, Switzerland
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU UK
- Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Clinical Chemistry, Filmlab laboratories, Tampere University Hospital and School of Medicine, University of Tampere, 33520 Tampere, Finland
- Statistical Genetics, QIMR Berghofer Medical Research Institute Royal Brisbane Hospital, Brisbane, Australia
- Institute of Population Genetics CNR, Traversa La Crucca, 3-07040 Reg. Baldinca, Li Punti, Sassari, Italy
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN UK
- School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN UK
- Centre of Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
- Institute of Ophthalmology, University College London, London, UK
- Ulverscroft Vision Research Group, UCL Institute of Child Health, London, UK
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute Royal Brisbane Hospital, Brisbane, Australia
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital University of Medical Science, Beijing, China
- Faculty of Medicine, University of Split, Split, Croatia
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, EH8 9AG UK
- Department of Ophthalmology, Sisters of Mercy University Hospital, Zagreb, Croatia
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Department of Ophthalmology, Helsinki University Central Hospital, Helsinki, Finland
- University Heart Center Hamburg, Clinic for general and interventional Cardiology, Hamburg, Germany
- Institute for Medical Biometry and Statistics, Universität zu Lübeck, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, Lübeck, Germany
- Dardenne Eye Hospital, Bonn, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Mainz, Mainz, Germany
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong SAR, China
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Princess Alexandra Eye Pavilion, Edinburgh, EH3 9HA UK
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- Department of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
- Neuroscience and Behavioural Disorders (NBD) Program, Duke-NUS Graduate Medical School, Singapore, Singapore
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, PGCRL Rm 12.9835, 686 Bay Street, Toronto, ON M5G 0A4 Canada
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, 33521 Tampere, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20041 Turku, Finland
- Translational Research Institute, University of Queensland Diamantina Institute, Brisbane, QLD Australia
- Division of Human Genetics, Genome Institute of Singapore, Singapore, Singapore
- Duke Eye Center, Duke University School of Medicine, Durham, NC USA
- University of Sydney, Sydney, Australia
- Western Sydney Local Health Network, Sydney, Australia
- Westmead Millennium Institute, Westmead, Australia
- Ophthalmology and Visual Sciences, Ocular Epidemiology, University of Wisconsin-Madison, 610 North Walnut Street, Room 409, Madison, WI 53726 USA
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Lab, Beijing, China
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht-Karls-University of Heidelberg, Mannheim, Germany
- Department of Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland
- Department of Ophthalmology, Central Hospital of Central Finland, Jyväskylä, Finland
- University of Pennsylvania School of Medicine, Rm. 314 Stellar Chance Labs, 422 Curie Blvd, Philadelphia, PA 19104 USA
- Department of Ophthalmology, King’s College London, St Thomas’ Hospital Campus, London, UK
- Dala Lanna School of Public Health, University of Toronto, Toronto, ON Canada
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Zhang Z, Srivastava R, Liu H, Chen X, Duan L, Kee Wong DW, Kwoh CK, Wong TY, Liu J. A survey on computer aided diagnosis for ocular diseases. BMC Med Inform Decis Mak 2014; 14:80. [PMID: 25175552 PMCID: PMC4163681 DOI: 10.1186/1472-6947-14-80] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 08/12/2014] [Indexed: 12/12/2022] Open
Abstract
Background Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the clinicians by providing objective opinion with valuable insights, but also offers early detection and easy access for patients. Method We review ocular CAD methodologies for various data types. For each data type, we investigate the databases and the algorithms to detect different ocular diseases. Their advantages and shortcomings are analyzed and discussed. Result We have studied three types of data (i.e., clinical, genetic and imaging) that have been commonly used in existing methods for CAD. The recent developments in methods used in CAD of ocular diseases (such as Diabetic Retinopathy, Glaucoma, Age-related Macular Degeneration and Pathological Myopia) are investigated and summarized comprehensively. Conclusion While CAD for ocular diseases has shown considerable progress over the past years, the clinical importance of fully automatic CAD systems which are able to embed clinical knowledge and integrate heterogeneous data sources still show great potential for future breakthrough.
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Affiliation(s)
- Zhuo Zhang
- Institute for Infocomm Research, 1 Fusionopolis Way, Singapore, Singapore.
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14
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Buys ES, Potter LR, Pasquale LR, Ksander BR. Regulation of intraocular pressure by soluble and membrane guanylate cyclases and their role in glaucoma. Front Mol Neurosci 2014; 7:38. [PMID: 24904270 PMCID: PMC4032937 DOI: 10.3389/fnmol.2014.00038] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 04/21/2014] [Indexed: 01/01/2023] Open
Abstract
Glaucoma is a progressive optic neuropathy characterized by visual field defects that ultimately lead to irreversible blindness (Alward, 2000; Anderson et al., 2006). By the year 2020, an estimated 80 million people will have glaucoma, 11 million of which will be bilaterally blind. Primary open-angle glaucoma (POAG) is the most common type of glaucoma. Elevated intraocular pressure (IOP) is currently the only risk factor amenable to treatment. How IOP is regulated and can be modulated remains a topic of active investigation. Available therapies, mostly geared toward lowering IOP, offer incomplete protection, and POAG often goes undetected until irreparable damage has been done, highlighting the need for novel therapeutic approaches, drug targets, and biomarkers (Heijl et al., 2002; Quigley, 2011). In this review, the role of soluble (nitric oxide (NO)-activated) and membrane-bound, natriuretic peptide (NP)-activated guanylate cyclases that generate the secondary signaling molecule cyclic guanosine monophosphate (cGMP) in the regulation of IOP and in the pathophysiology of POAG will be discussed.
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Affiliation(s)
- Emmanuel S Buys
- Department of Anesthesia, Critical Care, and Pain Medicine, Anesthesia Center for Critical Care Research, Harvard Medical School, Massachusetts General Hospital Boston, MA, USA
| | - Lincoln R Potter
- Department of Pharmacology, University of Minnesota Medical School Minneapolis, MN, USA
| | - Louis R Pasquale
- Department of Ophthalmology, Glaucoma Service Mass Eye and Ear Infirmary and Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital Boston, MA, USA
| | - Bruce R Ksander
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Schepens Eye Research Institute, Harvard Medical School Boston, MA, USA
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15
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Abstract
Glaucoma is a leading cause of irreversible blindness. Intraocular pressure (IOP) is the only modifiable risk factor for glaucoma, yet there is little known about the molecular events that regulate IOP. Genetic and genomic studies have helped identify genes that influence IOP and could lead to the identification of biological pathways that serve as targets for novel pressure-modifying therapies. Genetic linkage studies resulted in the identification of several genes that cause Mendelian (autosomal dominant or autosomal recessive) forms of high-pressure glaucoma, including MYOC. PITX2, FOXC1, and CYP1B1. Classical twin studies suggest that IOP is a heritable trait. More recently, genome-wide association studies (GWAS) have shown that common genetic variants in the GAS7 and TMCO1 genomic regions are associated with elevated IOP. TMCO1 has also been associated with primary open-angle glaucoma in patients with advanced disease. A further study identifying additional genes contributing to IOP will be necessary to fully define the underlying genetic architecture of IOP.
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Affiliation(s)
- Pallavi Ojha
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston , Massachusetts , USA and
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16
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Guggenheim JA, Zhou X, Evans DM, Timpson NJ, McMahon G, Kemp JP, St Pourcain B, Northstone K, Ring SM, Fan Q, Wong TY, Cheng CY, Khor CC, Aung T, Saw SM, Williams C. Coordinated genetic scaling of the human eye: shared determination of axial eye length and corneal curvature. Invest Ophthalmol Vis Sci 2013; 54:1715-21. [PMID: 23385790 DOI: 10.1167/iovs.12-10560] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
PURPOSE To examine the extent to which the two major determinants of refractive error, corneal curvature and axial length, are scaled relative to one another by shared genetic variants, along with their relationship to the genetic scaling of height. METHODS Corneal curvature, axial length, and height were measured in unrelated 14- to 17-year-old white European participants of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 1915) and in unrelated 40- to 80-year-old participants of the Singapore Chinese Eye Study (SCES; n = 1642). Univariate and bivariate heritability analyses were performed with methods that avoid confounding by common family environment, using information solely from genome-wide high-density genotypes. RESULTS IN ALSPAC SUBJECTS, AXIAL LENGTH, CORNEAL CURVATURE, AND HEIGHT HAD SIMILAR LOWER-BOUND HERITABILITY ESTIMATES: axial length, h(2) = 0.46 (SE = 0.16, P = 0.002); corneal curvature, h(2) = 0.42 (SE = 0.16, P = 0.004); height, h(2) = 0.48 (SE = 0.17, P = 0.002). The corresponding estimates in the SCES were 0.79 (SE = 0.18, P < 0.001), 0.35 (SE = 0.20, P = 0.036), and 0.31 (SE = 0.20, P = 0.061), respectively. The genetic correlation between corneal curvature and axial length was 0.69 (SE = 0.17, P = 0.019) for ALSPAC participants and 0.64 (SE = 0.22, P = 0.003) for SCES participants. In the subset of 1478 emmetropic ALSPAC individuals, the genetic correlation was 0.85 (SE = 0.12, P = 0.008). CONCLUSIONS These results imply that coordinated scaling of ocular component dimensions is largely achieved by hundreds to thousands of common genetic variants, each with a small pleiotropic effect. Furthermore, genome-wide association studies (GWAS) for either axial length or corneal curvature are likely to identify variants controlling overall eye size when using discovery cohorts dominated by emmetropes, but trait-specific variants in discovery cohorts dominated by ametropes.
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Affiliation(s)
- Jeremy A Guggenheim
- Centre for Myopia Research, School of Optometry, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
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17
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Guggenheim JA, McMahon G, Kemp JP, Akhtar S, St Pourcain B, Northstone K, Ring SM, Evans DM, Smith GD, Timpson NJ, Williams C. A genome-wide association study for corneal curvature identifies the platelet-derived growth factor receptor α gene as a quantitative trait locus for eye size in white Europeans. Mol Vis 2013; 19:243-53. [PMID: 23401653 PMCID: PMC3566893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2012] [Accepted: 02/01/2013] [Indexed: 12/01/2022] Open
Abstract
PURPOSE Corneal curvature is a key determinant of the refractive power of the eye. Variants in two genes, FKBP12-rapamycin complex-associated protein 1 (FRAP1) on chromosome 1p36.2 and platelet-derived growth factor receptor alpha (PDGFRA) on chromosome 4q12, have shown genome-wide significant association with normal variation in corneal curvature in a study of subjects of Asian origin. Variants at the PDGFRA locus have also shown genome-wide significant association with corneal astigmatism. Whether these variants influence other ocular parameters such as axial length has yet to be reported. We performed a genome-wide association study for corneal curvature in white European subjects from a population-based birth cohort, with the aim of replicating and extending the above findings. METHODS White European children participating in the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were examined at age about 15.5 years (95% confidence interval=15.45 to 15.48 years). Radius of corneal curvature and axial eye length were measured with an IOLmaster. DNA samples were genotyped with Illumina HumanHap550 arrays and untyped variants imputed using MACH, with CEU individuals from HapMap release 22, Phase II NCBI B36, Single Nucleotide Polymorphism database 126 as the reference panel. Association between corneal curvature and single nucleotide polymorphism (SNP) genotype was tested, genome-wide, using mach2qtl, with sex as a covariate (n=2023; 46.6% male). RESULTS The variant exhibiting the strongest evidence for association with corneal curvature (rs6554163; p=2.8×10(-6)) was located in the same linkage disequilibrium block as the previously discovered PDGFRA variants. Meta-analysis of the current and prior findings enhanced the evidence for association (rs17084051, p=4.5×10(-14)). rs6554163 genotype predicted 1.0% of variation in corneal curvature. In addition, these PDGFRA variants were associated with axial eye length, predicting 0.6% of the normal trait variation (p=5.3×10(-4)). Each copy of the minor allele of variants at the locus also increased the risk of corneal astigmatism in this white European cohort (odds ratio [OR]=1.24, 95% confidence interval=1.07-1.45; p=0.006). CONCLUSION As in Asians, variants at the PDGFRA locus influence corneal curvature (and corneal astigmatism). However, rather than affecting corneal curvature in isolation, this locus influences the size of the eye while maintaining its scaling.
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Affiliation(s)
| | - George McMahon
- MRC Centre for Causal Analyses in Translational Medicine, School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - John P. Kemp
- MRC Centre for Causal Analyses in Translational Medicine, School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - Saeed Akhtar
- Cornea Research Chair, Department of Optometry & Vision Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Beate St Pourcain
- MRC Centre for Causal Analyses in Translational Medicine, School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - Kate Northstone
- School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - Susan M. Ring
- School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - David M. Evans
- MRC Centre for Causal Analyses in Translational Medicine, School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - Nicholas J. Timpson
- MRC Centre for Causal Analyses in Translational Medicine, School of Social and Community Medicine, University of Bristol, Bristol, U.K
| | - Cathy Williams
- School of Social and Community Medicine, University of Bristol, Bristol, U.K
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18
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Lee MK, Cho SI, Kim H, Song YM, Lee K, Kim JI, Kim DM, Chung TY, Kim YS, Seo JS, Ham DI, Sung J. Epidemiologic characteristics of intraocular pressure in the Korean and Mongolian populations: the Healthy Twin and the GENDISCAN study. Ophthalmology 2012; 119:450-7. [PMID: 22244945 DOI: 10.1016/j.ophtha.2011.09.016] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2011] [Revised: 09/07/2011] [Accepted: 09/08/2011] [Indexed: 10/14/2022] Open
Abstract
PURPOSE The purpose of this study was to demonstrate a negative association between intraocular pressure (IOP) and age in 2 Asian populations. In addition, we evaluated genetic and nongenetic factors associated with IOP. DESIGN Family-based cohort study. PARTICIPANTS Study subjects >10 years of age from one Korean (The Healthy Twin; n = 1431) and 2 Mongolian populations (The GENDISCAN; n = 859 and 806) with IOP values. METHODS The IOP values were measured with a noncontact tonometer. Each participant received a standard health examination and received questionnaires, which include candidate risk factors on IOP. Mixed models were used to identify risk factors for IOP. Variance-component methods were applied to estimate the heritability of IOP. MAIN OUTCOME MEASURES The negative trend of IOP with aging and evaluation of impact of genetic and nongenetic components on IOP. RESULTS The mean ages were 43.6, 34.1, and 36.3 years for the Korean, Orhontuul, and Dashbalbar populations, respectively. The mean IOPs were 14.4 mmHg (95% confidence interval [CI], 14.3-14.6) in the Koreans and 14.1 mmHg (95% CI, 13.9-14.3) and 12.6 mmHg (95% CI, 12.4-12.9) in the Orhontuul and Dashbalbar populations, respectively. In the 3 populations, the IOP decreased as age increased. We replicated an association of systolic blood pressure (SBP) with IOP. In addition, components of the metabolic syndrome (MS), such as plasma glucose, lipid level, and body mass index, showed positive associations with IOP, after adjusting for age and SBP. The IOP also had strong genetic contributions in all populations (heritability, 0.47-0.51). CONCLUSIONS Negative associations between age and IOP were observed in all 3 populations, which cannot be explained by the increasing prevalence of myopia in the younger generation. The different age trend in IOP may in part be responsible for differences in the prevalence of glaucoma subtypes. Our findings suggest that associations between IOP and MS components were independent of established risk factors such as SBP or age. In addition, the importance of inherited risks requires further genetic dissection of IOP determinants for biological understandings of underlying pathophysiology.
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Affiliation(s)
- Mi Kyeong Lee
- Department of Epidemiology and Institute of Environment and Health, School of Public Health, Seoul National University, Seoul, Korea
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Fan Q, Zhou X, Khor CC, Cheng CY, Goh LK, Sim X, Tay WT, Li YJ, Ong RTH, Suo C, Cornes B, Ikram MK, Chia KS, Seielstad M, Liu J, Vithana E, Young TL, Tai ES, Wong TY, Aung T, Teo YY, Saw SM. Genome-wide meta-analysis of five Asian cohorts identifies PDGFRA as a susceptibility locus for corneal astigmatism. PLoS Genet 2011; 7:e1002402. [PMID: 22144915 PMCID: PMC3228826 DOI: 10.1371/journal.pgen.1002402] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2011] [Accepted: 10/17/2011] [Indexed: 12/21/2022] Open
Abstract
Corneal astigmatism refers to refractive abnormalities and irregularities in the curvature of the cornea, and this interferes with light being accurately focused at a single point in the eye. This ametropic condition is highly prevalent, influences visual acuity, and is a highly heritable trait. There is currently a paucity of research in the genetic etiology of corneal astigmatism. Here we report the results from five genome-wide association studies of corneal astigmatism across three Asian populations, with an initial discovery set of 4,254 Chinese and Malay individuals consisting of 2,249 cases and 2,005 controls. Replication was obtained from three surveys comprising of 2,139 Indians, an additional 929 Chinese children, and an independent 397 Chinese family trios. Variants in PDGFRA on chromosome 4q12 (lead SNP: rs7677751, allelic odds ratio = 1.26 (95% CI: 1.16-1.36), P(meta) = 7.87×10(-9)) were identified to be significantly associated with corneal astigmatism, exhibiting consistent effect sizes across all five cohorts. This highlights the potential role of variants in PDGFRA in the genetic etiology of corneal astigmatism across diverse Asian populations.
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Affiliation(s)
- Qiao Fan
- School of Public Health, National University of Singapore, Singapore, Singapore
| | - Xin Zhou
- School of Public Health, National University of Singapore, Singapore, Singapore
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Centre for Molecular Epidemiology, National University of Singapore, Singapore, Singapore
- Department of Pediatrics, National University of Singapore, Singapore, Singapore
| | - Ching-Yu Cheng
- School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore, Singapore
| | - Liang-Kee Goh
- School of Public Health, National University of Singapore, Singapore, Singapore
- Duke–National University of Singapore Graduate Medical School, Singapore, Singapore
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Xueling Sim
- Centre for Molecular Epidemiology, National University of Singapore, Singapore, Singapore
| | - Wan-Ting Tay
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Yi-Ju Li
- Center for Human Genetics, Duke University Medical Center, Durham, North Carolina, United States of America
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Rick Twee-Hee Ong
- School of Public Health, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Chen Suo
- Centre for Molecular Epidemiology, National University of Singapore, Singapore, Singapore
| | - Belinda Cornes
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Mohammad Kamran Ikram
- School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Duke–National University of Singapore Graduate Medical School, Singapore, Singapore
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Kee-Seng Chia
- School of Public Health, National University of Singapore, Singapore, Singapore
- Centre for Molecular Epidemiology, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
| | - Mark Seielstad
- Institute for Human Genetics and Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Eranga Vithana
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore, Singapore
| | - Terri L. Young
- Center for Human Genetics, Duke University Medical Center, Durham, North Carolina, United States of America
| | - E.-Shyong Tai
- School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Medicine, National University of Singapore, Singapore, Singapore
| | - Tien-Yin Wong
- School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore, Singapore
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore, Singapore
| | - Yik-Ying Teo
- School of Public Health, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
| | - Seang-Mei Saw
- School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore
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Hunt AP, Feigl B, Stewart IB. The intraocular pressure response to dehydration: a pilot study. Eur J Appl Physiol 2011; 112:1963-6. [PMID: 21877145 DOI: 10.1007/s00421-011-2143-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2011] [Accepted: 08/18/2011] [Indexed: 10/17/2022]
Abstract
The aim of this study was to determine the intraocular pressure response to differing levels of dehydration. Seven males participated in 90 min of treadmill walking (5 km h(-1) and 1% grade) in both temperate (22 °C) and hot (43 °C) conditions. At baseline and 30 min intervals intraocular pressure, nude body mass, body temperature and heart rate were recorded. Statistically significant interactions (p < 0.05) were observed for intraocular pressure (hot condition: baseline 17.0 ± 2.9, 30 min 15.6 ± 3.5, 60 min 14.5 ± 3.7 and 90 min 13.6 ± 2.9 mmHg; temperate condition: baseline 16.8 ± 2.7, 30 min 16.5 ± 2.6, 60 min 15.8 ± 2.5 and 90 min 15.7 ± 1.8 mmHg) and body mass loss (hot condition: 30 min -1.07 ± 0.35, 60 min -2.17 ± 0.55 and 90 min -3.13 ± 0.74%; temperate condition: 30 min -0.15 ± 0.11, 60 min -0.47 ± 0.18 and 90 min -0.78 ± 0.25%). Significant linear regressions (p < 0.05) were observed for intraocular pressure and body mass loss (adjusted r(2) = 0.24) and intraocular pressure change and body mass loss (adjusted r(2) = 0.51). In conclusion, intraocular pressure was progressively reduced during a period of exercise causing dehydration, but remained relatively stable when hydration was maintained. The present study revealed a moderate relationship between dehydration (body mass loss) and intraocular pressure change.
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Affiliation(s)
- Andrew P Hunt
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane 4059, Australia
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Sanfilippo PG, Medland SE, Hewitt AW, Kearns LS, Ruddle JB, Sun C, Hammond CJ, Young TL, Martin NG, Mackey DA. Ophthalmic phenotypes and the representativeness of twin data for the general population. Invest Ophthalmol Vis Sci 2011; 52:5565-72. [PMID: 21498610 DOI: 10.1167/iovs.11-7258] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
PURPOSE To compare the distributional parameters for a series of ocular biometric traits between twins and their singleton siblings, to evaluate the generalizability of twin data, as used in heritability analyses to the general population. METHODS A series of birth, anthropometric, and 13 ocular biometric traits were selected for analysis: interpupillary distance (IPD), visual acuity (logMAR), spherical equivalent refractive error, corneal curvature, axial length, anterior chamber depth (ACD), central corneal thickness (CCT), intraocular pressure (IOP), optic disc, cup and rim areas, and measures of retinal vessel caliber; central retinal arteriolar equivalent (CRAE), and central retinal venular equivalent (CRVE). Structural equation modeling was used to test the assumption that the means and variances for each trait did not differ between twins and their siblings. RESULTS Significant differences in log-likelihood for birth weight and gestational age were observed between twins and siblings, with the latter being both heavier and closer to full-term at birth. Siblings were also found to have larger IPD and axial length, and better visual acuity compared with their twin counterparts. Refractive error, corneal curvature, ACD, CCT, optic disc parameters, and retinal vascular calibers did not differ significantly between the two groups. CONCLUSIONS Twins are representative of the general population for some but not all measures of ocular biometry. Consequently, care should be taken when extrapolating twin data for these traits in heritability and other genetic studies. Birth weight differences between twins and siblings do not appear to account for the differences in ocular biometry observed in this study.
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Affiliation(s)
- Paul G Sanfilippo
- Centre for Eye Research Australia, Department of Ophthalmology, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia
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Wang L, Považay B, Chen YP, Hofer B, Drexler W, Guggenheim JA. Heritability of ocular component dimensions in mice phenotyped using depth-enhanced swept source optical coherence tomography. Exp Eye Res 2011; 93:482-90. [PMID: 21726551 DOI: 10.1016/j.exer.2011.06.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2010] [Revised: 06/02/2011] [Accepted: 06/14/2011] [Indexed: 10/18/2022]
Abstract
The range of genetic and genomic resources available makes the mouse a powerful model for the genetic dissection of complex traits. Because accurate, high-throughput phenotypic characterisation is crucial to the success of such endeavours, we recently developed an optical coherence tomography (OCT) system with extended depth range scanning capability for measuring ocular component dimensions in mice. In order to test whether the accuracy and reproducibility of our OCT system was sufficient for gene mapping studies, we carried out an experiment designed to estimate the heritability of mouse ocular component dimensions. High-resolution, two dimensional tomograms were obtained for both eyes of 11 pairs of 8 week-old outbred MF1 mice. Subsequently, images were obtained when their offspring were aged 8 weeks. Biometric data were extracted after image segmentation, reconstruction of the geometric shape of each surface, and calculation of intraocular distances. The repeatability of measurements was evaluated for 12 mice scanned on consecutive days. Heritability estimates were calculated using variance components analysis. Sets of tomograms took ∼2 s to acquire. Biometric data could be obtained for 98% of the 130 eyes scanned. The 95% limits of repeatability ranged from ±6 to ±16 μm for the axial ocular component dimensions. The heritability of the axial ocular components was 0.6-0.8, except for corneal thickness, which had a heritability not significantly different from zero. In conclusion, axial ocular component dimensions are highly heritable in mice, as they are in humans. OCT with extended depth range scanning can be used to rapidly phenotype individual mice with sufficient accuracy and precision to permit gene mapping studies.
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Affiliation(s)
- Ling Wang
- School of Optometry and Vision Sciences, Cardiff University, Maindy Road, Cardiff CF24 4LU, Wales, UK
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Sanfilippo PG, Hewitt AW, Hammond CJ, Mackey DA. The heritability of ocular traits. Surv Ophthalmol 2010; 55:561-83. [PMID: 20851442 DOI: 10.1016/j.survophthal.2010.07.003] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2009] [Revised: 07/23/2010] [Accepted: 07/27/2010] [Indexed: 12/17/2022]
Abstract
Heritability is the proportion of phenotypic variation in a population that is attributable to genetic variation among individuals. Many ophthalmic disorders and biometric traits are known to have a genetic basis and consequently much work has been published in the literature estimating the heritability of various ocular parameters. We collated and summarized the findings of heritability studies conducted in the field of ophthalmology. We grouped the various studies broadly by phenotype as follows: refraction, primary open-angle glaucoma, age-related macular degeneration (AMD), cataract, diabetic retinopathy, and others. A total of 82 articles were retrieved from the literature relating to estimation of heritability for an ocular disease or biometric trait; of these, 37 papers were concerned with glaucoma, 28 with refraction, 4 with AMD, 5 with diabetic retinopathy, and 4 with cataract. The highest reported heritability for an ophthalmic trait is 0.99 for the phenotype ≥ 20 small hard drusen, indicating that observed variation in this parameter is largely governed by genetic factors. Over 60% of the studies employed a twin study design and a similar percentage utilized variance components methods and structural equation modeling (SEM) to derive their heritability values. Using modern SEM techniques, heritability estimates derived from twin subjects were generally higher than those from family data. Many of the estimates are in the moderate to high range, but to date the majority of genetic variants accounting for these findings have not been uncovered, hence much work remains to be undertaken to elucidate fully their molecular etiology.
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Affiliation(s)
- Paul G Sanfilippo
- Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Australia.
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