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1. Gene Set Enrichment Analsyes Identiify Pathways Involved in Genetic Risk for Diabetic Retinopathy

Author

Sobrin, Lucia, Susarla, Gayatri, Stanwyck, Lynn, Rouhana, John M, Li, Ashley, Pollack, Samuela, Igo, Robert P, Jensen, Richard A, Li, Xiaohui, Ng, Maggie CY, Smith, Albert V, Kuo, Jane Z, Taylor, Kent D, Freedman, Barry I, Bowden, Donald W, Penman, Alan, Chen, Ching J, Craig, Jamie E, Adler, Sharon G, Chew, Emily Y, Cotch, Mary Frances, Yaspan, Brian, Mitchell, Paul, Wang, Jie Jin, Klein, Barbara EK, Wong, Tien Y, Rotter, Jerome I, Burdon, Kathyrn P, Iyengar, Sudha K, and Segrè, Ayellet V

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Diabetes, Genetics, Human Genome, 2.1 Biological and endogenous factors, Diabetes Mellitus, Type 2, Diabetic Retinopathy, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract

To identify functionally related genes associated with diabetic retinopathy (DR) risk using gene set enrichment analyses applied to genome-wide association study meta-analyses.MethodsWe analyzed DR GWAS meta-analyses performed on 3246 Europeans and 2611 African Americans with type 2 diabetes. Gene sets relevant to 5 key DR pathophysiology processes were investigated: tissue injury, vascular events, metabolic events and glial dysregulation, neuronal dysfunction, and inflammation. Keywords relevant to these processes were queried in 4 pathway and ontology databases. Two GSEA methods, Meta-Analysis Gene set Enrichment of variaNT Associations (MAGENTA) and Multi-marker Analysis of GenoMic Annotation (MAGMA), were used. Gene sets were defined to be enriched for gene associations with DR if the P value corrected for multiple testing (Pcorr) was

Published
2022

2. Effect of pH value on the Corrosion Behavior of 904L Stainless Steel Under High Cl- Concentration Environment

Author

ZHANG Hong, LI Yuanlong, WANG Jie, JIN Jie, FAN Xuehua, YANG Meng

Subjects
904l stainless steel, ph value, cl-, corrosion behavior, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology
Abstract

For improving the corrosion resistance of 904L stainless steel under high Cl- concentration environment with different pH values condition，the corrosion behavior of 904L austenitic stainless steel in 100 g/L NaCl solution at different pH values was studied by cyclic polarization curves，electrochemical impedance spectroscopy，Olympus confocal microscopy，scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS).Results showed that the corrosion resistance of 904L stainless steel increased with the increase of pH value，EIS consisted of two capacitive reactance arcs，and the radius of capacitive reactance arc increased with the increase of pH value，and the capacitive reactances were all in the same order of magnitude.Meanwhile，lower pH value conditions could enhance the destructive effect of Cl- on the passive film.With the decrease of pH value，the range of passive region of the material decreased.When the pH＝2，slight pitting occurred on the surface of the material.

Published
2023
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3. A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus.

Author

Hardcastle, Alison J, Liskova, Petra, Bykhovskaya, Yelena, McComish, Bennet J, Davidson, Alice E, Inglehearn, Chris F, Li, Xiaohui, Choquet, Hélène, Habeeb, Mahmoud, Lucas, Sionne EM, Sahebjada, Srujana, Pontikos, Nikolas, Lopez, Karla E Rojas, Khawaja, Anthony P, Ali, Manir, Dudakova, Lubica, Skalicka, Pavlina, Van Dooren, Bart TH, Geerards, Annette JM, Haudum, Christoph W, Faro, Valeria Lo, Tenen, Abi, Simcoe, Mark J, Patasova, Karina, Yarrand, Darioush, Yin, Jie, Siddiqui, Salina, Rice, Aine, Farraj, Layal Abi, Chen, Yii-Der Ida, Rahi, Jugnoo S, Krauss, Ronald M, Theusch, Elisabeth, Charlesworth, Jac C, Szczotka-Flynn, Loretta, Toomes, Carmel, Meester-Smoor, Magda A, Richardson, Andrea J, Mitchell, Paul A, Taylor, Kent D, Melles, Ronald B, Aldave, Anthony J, Mills, Richard A, Cao, Ke, Chan, Elsie, Daniell, Mark D, Wang, Jie Jin, Rotter, Jerome I, Hewitt, Alex W, MacGregor, Stuart, Klaver, Caroline CW, Ramdas, Wishal D, Craig, Jamie E, Iyengar, Sudha K, O'Brart, David, Jorgenson, Eric, Baird, Paul N, Rabinowitz, Yaron S, Burdon, Kathryn P, Hammond, Chris J, Tuft, Stephen J, and Hysi, Pirro G

Abstract

Keratoconus is characterised by reduced rigidity of the cornea with distortion and focal thinning that causes blurred vision, however, the pathogenetic mechanisms are unknown. It can lead to severe visual morbidity in children and young adults and is a common indication for corneal transplantation worldwide. Here we report the first large scale genome-wide association study of keratoconus including 4,669 cases and 116,547 controls. We have identified significant association with 36 genomic loci that, for the first time, implicate both dysregulation of corneal collagen matrix integrity and cell differentiation pathways as primary disease-causing mechanisms. The results also suggest pleiotropy, with some disease mechanisms shared with other corneal diseases, such as Fuchs endothelial corneal dystrophy. The common variants associated with keratoconus explain 12.5% of the genetic variance, which shows potential for the future development of a diagnostic test to detect susceptibility to disease.

Published
2021

4. Multiethnic Genome-wide Association Study of Diabetic Retinopathy using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control

Author

Pollack, Samuela, Igo, Robert P, Jensen, Richard A, Christiansen, Mark, Li, Xiaohui, Cheng, Ching-Yu, Ng, Maggie CY, Smith, Albert V, Rossin, Elizabeth J, Segrè, Ayellet V, Davoudi, Samaneh, Tan, Gavin S, Chen, Yii-Der Ida, Kuo, Jane Z, Dimitrov, Latchezar M, Stanwyck, Lynn K, Meng, Weihua, Hosseini, S Mohsen, Imamura, Minako, Nousome, Darryl, Kim, Jihye, Hai, Yang, Jia, Yucheng, Ahn, Jeeyun, Leong, Aaron, Shah, Kaanan, Park, Kyu Hyung, Guo, Xiuqing, Ipp, Eli, Taylor, Kent D, Adler, Sharon G, Sedor, John R, Freedman, Barry I, Group, DCCT EDIC Research Group Family Investigation of Nephropathy and Diabetes-Eye Research, Lee, I-Te, Sheu, Wayne H-H, Kubo, Michiaki, Takahashi, Atsushi, Hadjadj, Samy, Marre, Michel, Tregouet, David-Alexandre, Mckean-Cowdin, Roberta, Varma, Rohit, McCarthy, Mark I, Groop, Leif, Ahlqvist, Emma, Lyssenko, Valeriya, Agardh, Elisabet, Morris, Andrew, Doney, Alex SF, Colhoun, Helen M, Toppila, Iiro, Sandholm, Niina, Groop, Per-Henrik, Maeda, Shiro, Hanis, Craig L, Penman, Alan, Chen, Ching J, Hancock, Heather, Mitchell, Paul, Craig, Jamie E, Chew, Emily Y, Paterson, Andrew D, Grassi, Michael A, Palmer, Colin, Bowden, Donald W, Yaspan, Brian L, Siscovick, David, Cotch, Mary Frances, Wang, Jie Jin, Burdon, Kathryn P, Wong, Tien Y, Klein, Barbara EK, Klein, Ronald, Rotter, Jerome I, Iyengar, Sudha K, Price, Alkes, and Sobrin, Lucia

Subjects
Biomedical and Clinical Sciences, Genetics, Eye Disease and Disorders of Vision, Diabetes, Human Genome, Prevention, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Good Health and Well Being, Blood Glucose, Diabetes Mellitus, Type 2, Diabetic Retinopathy, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glycated Hemoglobin, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Protein Binding, Family Investigation of Nephropathy and Diabetes-Eye Research Group, DCCT/EDIC Research Group, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract

To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts (n = 3,246) and seven African American cohorts (n = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a P value

Published
2019

5. Detecting visually significant cataract using retinal photograph-based deep learning

Author

Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Anees, Ayesha, Lei, Xiaofeng, Rim, Tyler Hyungtaek, Chee, Miao-Li, Wang, Ya Xing, Jonas, Jost B., Thakur, Sahil, Teo, Zhen Ling, Cheung, Ning, Hamzah, Haslina, Tan, Gavin S. W., Husain, Rahat, Sabanayagam, Charumathi, Wang, Jie Jin, Chen, Qingyu, Lu, Zhiyong, Keenan, Tiarnan D., Chew, Emily Y., Tan, Ava Grace, Mitchell, Paul, Goh, Rick S. M., Xu, Xinxing, Liu, Yong, Wong, Tien Yin, and Cheng, Ching-Yu

Published
2022
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6. A genome‐wide association study suggests new evidence for an association of the NADPH Oxidase 4 (NOX4) gene with severe diabetic retinopathy in type 2 diabetes

Author

Meng, Weihua, Shah, Kaanan P, Pollack, Samuela, Toppila, Iiro, Hebert, Harry L, McCarthy, Mark I, Groop, Leif, Ahlqvist, Emma, Lyssenko, Valeriya, Agardh, Elisabet, Daniell, Mark, Kaidonis, Georgia, Craig, Jamie E, Mitchell, Paul, Liew, Gerald, Kifley, Annette, Wang, Jie Jin, Christiansen, Mark W, Jensen, Richard A, Penman, Alan, Hancock, Heather A, Chen, Ching J, Correa, Adolfo, Kuo, Jane Z, Li, Xiaohui, Chen, Yii‐der I, Rotter, Jerome I, Klein, Ronald, Klein, Barbara, Wong, Tien Y, Morris, Andrew D, Doney, Alexander SF, Colhoun, Helen M, Price, Alkes L, Burdon, Kathryn P, Groop, Per‐Henrik, Sandholm, Niina, Grassi, Michael A, Sobrin, Lucia, Palmer, Colin NA, and Consortium, Surrogate markers for Micro‐and Macro‐vascular hard endpoints for Innovative diabetes Tools study group Wellcome Trust Case Control

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Eye Disease and Disorders of Vision, Genetics, Diabetes, Eye, Metabolic and endocrine, Adult, Diabetes Mellitus, Type 2, Diabetic Retinopathy, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Laser Coagulation, Male, Middle Aged, NADPH Oxidase 4, Polymorphism, Single Nucleotide, Scotland, White People, diabetes, diabetic complications, diabetic retinopathy, genome-wide association study, NOX4, Wellcome Trust Case Control Consortium 2 (WTCCC2), Surrogate markers for Micro- and Macro-vascular hard endpoints for Innovative diabetes Tools (SUMMIT) study group, Clinical Sciences, Neurosciences, Opthalmology and Optometry, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract

PurposeDiabetic retinopathy is the most common eye complication in patients with diabetes. The purpose of this study is to identify genetic factors contributing to severe diabetic retinopathy.MethodsA genome-wide association approach was applied. In the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) datasets, cases of severe diabetic retinopathy were defined as type 2 diabetic patients who were ever graded as having severe background retinopathy (Level R3) or proliferative retinopathy (Level R4) in at least one eye according to the Scottish Diabetic Retinopathy Grading Scheme or who were once treated by laser photocoagulation. Controls were diabetic individuals whose longitudinal retinopathy screening records were either normal (Level R0) or only with mild background retinopathy (Level R1) in both eyes. Significant Single Nucleotide Polymorphisms (SNPs) were taken forward for meta-analysis using multiple Caucasian cohorts.ResultsFive hundred and sixty cases of type 2 diabetes with severe diabetic retinopathy and 4,106 controls were identified in the GoDARTS cohort. We revealed that rs3913535 in the NADPH Oxidase 4 (NOX4) gene reached a p value of 4.05 × 10-9 . Two nearby SNPs, rs10765219 and rs11018670 also showed promising p values (p values = 7.41 × 10-8 and 1.23 × 10-8 , respectively). In the meta-analysis using multiple Caucasian cohorts (excluding GoDARTS), rs10765219 and rs11018670 showed associations for diabetic retinopathy (p = 0.003 and 0.007, respectively), while the p value of rs3913535 was not significant (p = 0.429).ConclusionThis genome-wide association study of severe diabetic retinopathy suggests new evidence for the involvement of the NOX4 gene.

Published
2018

7. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study

Author

Sobrin, Lucia, Chong, Yong He, Fan, Qiao, Gan, Alfred, Stanwyck, Lynn K, Kaidonis, Georgia, Craig, Jamie E, Kim, Jihye, Liao, Wen-Ling, Huang, Yu-Chuen, Lee, Wen-Jane, Hung, Yi-Jen, Guo, Xiuqing, Hai, Yang, Ipp, Eli, Pollack, Samuela, Hancock, Heather, Price, Alkes, Penman, Alan, Mitchell, Paul, Liew, Gerald, Smith, Albert V, Gudnason, Vilmundur, Tan, Gavin, Klein, Barbara EK, Kuo, Jane, Li, Xiaohui, Christiansen, Mark W, Psaty, Bruce M, Sandow, Kevin, Jensen, Richard A, Klein, Ronald, Cotch, Mary Frances, Wang, Jie Jin, Jia, Yucheng, Chen, Ching J, Chen, Yii-Der Ida, Rotter, Jerome I, Tsai, Fuu-Jen, Hanis, Craig L, Burdon, Kathryn P, Wong, Tien Yin, Cheng, Ching-Yu, Spracklen, Cassandra N, Chen, Peng, Kim, Young Jin, Wang, Xu, Cai, Hui, Li, Shengxu, Long, Jirong, Wu, Ying, Wang, Ya-Xing, Takeuchi, Fumihiko, Wu, Jer-Yuarn, Jung, Keum-Ji, Hu, Cheng, Akiyama, Koichi, Zhang, Yonghong, Moon, Sanghoon, Johnson, Todd A, Li, Huaixing, Dorajoo, Rajkumar, He, Meian, Cannon, Maren E, Roman, Tamara S, Salfati, Elias, Lin, Keng-Hung, Sheu, Wayne HH, Absher, Devin, Adair, Linda S, Assimes, Themistocles L, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chien, Li-Hsin, Chuang, Lee-Ming, Chuang, Shu-Chun, Du, Shufa, Fann, Cathy SJ, Feranil, Alan B, Friedlander, Yechiel, Gordon-Larsen, Penny, Gu, Dongfeng, Gui, Lixuan, Guo, Zhirong, Heng, Chew-Kiat, Hixson, James, Hou, Xuhong, Hsiung, Chao Agnes, Hu, Yao, Hwang, Mi Yeong, Hwu, Chii-Min, Isono, Masato, Juang, Jyh-Ming Jimmy, Khor, Chiea-Chuen, Kim, Yun Kyoung, Koh, Woon-Puay, Kubo, Michiaki, and Lee, I-Te

Subjects
Biomedical and Clinical Sciences, Cancer, Prevention, Eye Disease and Disorders of Vision, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Aged, Diabetic Retinopathy, Female, Genome-Wide Association Study, Humans, Lipids, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk, Asian Genetic Epidemiology Network Consortium, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract

Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.

Published
2017

8. Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study

Author

de Vries, Paul S, Sabater-Lleal, Maria, Chasman, Daniel I, Trompet, Stella, Ahluwalia, Tarunveer S, Teumer, Alexander, Kleber, Marcus E, Chen, Ming-Huei, Wang, Jie Jin, Attia, John R, Marioni, Riccardo E, Steri, Maristella, Weng, Lu-Chen, Pool, Rene, Grossmann, Vera, Brody, Jennifer A, Venturini, Cristina, Tanaka, Toshiko, Rose, Lynda M, Oldmeadow, Christopher, Mazur, Johanna, Basu, Saonli, Frånberg, Mattias, Yang, Qiong, Ligthart, Symen, Hottenga, Jouke J, Rumley, Ann, Mulas, Antonella, de Craen, Anton JM, Grotevendt, Anne, Taylor, Kent D, Delgado, Graciela E, Kifley, Annette, Lopez, Lorna M, Berentzen, Tina L, Mangino, Massimo, Bandinelli, Stefania, Morrison, Alanna C, Hamsten, Anders, Tofler, Geoffrey, de Maat, Moniek PM, Draisma, Harmen HM, Lowe, Gordon D, Zoledziewska, Magdalena, Sattar, Naveed, Lackner, Karl J, Völker, Uwe, McKnight, Barbara, Huang, Jie, Holliday, Elizabeth G, McEvoy, Mark A, Starr, John M, Hysi, Pirro G, Hernandez, Dena G, Guan, Weihua, Rivadeneira, Fernando, McArdle, Wendy L, Slagboom, P Eline, Zeller, Tanja, Psaty, Bruce M, Uitterlinden, André G, de Geus, Eco JC, Stott, David J, Binder, Harald, Hofman, Albert, Franco, Oscar H, Rotter, Jerome I, Ferrucci, Luigi, Spector, Tim D, Deary, Ian J, März, Winfried, Greinacher, Andreas, Wild, Philipp S, Cucca, Francesco, Boomsma, Dorret I, Watkins, Hugh, Tang, Weihong, Ridker, Paul M, Jukema, Jan W, Scott, Rodney J, Mitchell, Paul, Hansen, Torben, O'Donnell, Christopher J, Smith, Nicholas L, Strachan, David P, and Dehghan, Abbas

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Genome-Wide Association Study, HapMap Project, Humans, General Science & Technology
Abstract

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5×10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5×10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.

Published
2017

9. Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study

Author

Tham, Yih-Chung, Anees, Ayesha, Zhang, Liang, Goh, Jocelyn Hui Lin, Rim, Tyler Hyungtaek, Nusinovici, Simon, Hamzah, Haslina, Chee, Miao-Li, Tjio, Gabriel, Li, Shaohua, Xu, Xinxing, Goh, Rick, Tang, Fangyao, Cheung, Carol Yim-Lui, Wang, Ya Xing, Nangia, Vinay, Jonas, Jost B, Gopinath, Bamini, Mitchell, Paul, Husain, Rahat, Lamoureux, Ecosse, Sabanayagam, Charumathi, Wang, Jie Jin, Aung, Tin, Liu, Yong, Wong, Tien Yin, and Cheng, Ching-Yu

Published
2021
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10. Genome-wide association analysis identifies TXNRD2, ATXN2 and FOXC1 as susceptibility loci for primary open-angle glaucoma

Author

Bailey, Jessica N Cooke, Loomis, Stephanie J, Kang, Jae H, Allingham, R Rand, Gharahkhani, Puya, Khor, Chiea Chuen, Burdon, Kathryn P, Aschard, Hugues, Chasman, Daniel I, Igo, Robert P, Hysi, Pirro G, Glastonbury, Craig A, Ashley-Koch, Allison, Brilliant, Murray, Brown, Andrew A, Budenz, Donald L, Buil, Alfonso, Cheng, Ching-Yu, Choi, Hyon, Christen, William G, Curhan, Gary, De Vivo, Immaculata, Fingert, John H, Foster, Paul J, Fuchs, Charles, Gaasterland, Douglas, Gaasterland, Terry, Hewitt, Alex W, Hu, Frank, Hunter, David J, Khawaja, Anthony P, Lee, Richard K, Li, Zheng, Lichter, Paul R, Mackey, David A, McGuffin, Peter, Mitchell, Paul, Moroi, Sayoko E, Perera, Shamira A, Pepper, Keating W, Qi, Qibin, Realini, Tony, Richards, Julia E, Ridker, Paul M, Rimm, Eric, Ritch, Robert, Ritchie, Marylyn, Schuman, Joel S, Scott, William K, Singh, Kuldev, Sit, Arthur J, Song, Yeunjoo E, Tamimi, Rulla M, Topouzis, Fotis, Viswanathan, Ananth C, Verma, Shefali Setia, Vollrath, Douglas, Wang, Jie Jin, Weisschuh, Nicole, Wissinger, Bernd, Wollstein, Gadi, Wong, Tien Y, Yaspan, Brian L, Zack, Donald J, Zhang, Kang, Study, EPIC-Norfolk Eye, Weinreb, Robert N, Pericak-Vance, Margaret A, Small, Kerrin, Hammond, Christopher J, Aung, Tin, Liu, Yutao, Vithana, Eranga N, MacGregor, Stuart, Craig, Jamie E, Kraft, Peter, Howell, Gareth, Hauser, Michael A, Pasquale, Louis R, Haines, Jonathan L, and Wiggs, Janey L

Subjects
Biological Sciences, Genetics, Eye Disease and Disorders of Vision, Neurodegenerative, Neurosciences, Human Genome, Aging, Eye, Ataxin-2, Forkhead Transcription Factors, Genetic Predisposition to Disease, Genome-Wide Association Study, Glaucoma, Open-Angle, Humans, Polymorphism, Single Nucleotide, Thioredoxin Reductase 2, ANZRAG Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Primary open-angle glaucoma (POAG) is a leading cause of blindness worldwide. To identify new susceptibility loci, we performed meta-analysis on genome-wide association study (GWAS) results from eight independent studies from the United States (3,853 cases and 33,480 controls) and investigated the most significantly associated SNPs in two Australian studies (1,252 cases and 2,592 controls), three European studies (875 cases and 4,107 controls) and a Singaporean Chinese study (1,037 cases and 2,543 controls). A meta-analysis of the top SNPs identified three new associated loci: rs35934224[T] in TXNRD2 (odds ratio (OR) = 0.78, P = 4.05 × 10(-11)) encoding a mitochondrial protein required for redox homeostasis; rs7137828[T] in ATXN2 (OR = 1.17, P = 8.73 × 10(-10)); and rs2745572[A] upstream of FOXC1 (OR = 1.17, P = 1.76 × 10(-10)). Using RT-PCR and immunohistochemistry, we show TXNRD2 and ATXN2 expression in retinal ganglion cells and the optic nerve head. These results identify new pathways underlying POAG susceptibility and suggest new targets for preventative therapies.

Published
2016

11. Novel Genetic Loci Associated With Retinal Microvascular Diameter

Author

Jensen, Richard A, Sim, Xueling, Smith, Albert Vernon, Li, Xiaohui, Jakobsdóttir, Jóhanna, Cheng, Ching-Yu, Brody, Jennifer A, Cotch, Mary Frances, Mcknight, Barbara, Klein, Ronald, Wang, Jie Jin, Kifley, Annette, Harris, Tamara B, Launer, Lenore J, Taylor, Kent D, Klein, Barbara EK, Raffel, Leslie J, Li, Xiang, Ikram, M Arfan, Klaver, Caroline C, van der Lee, Sven J, Mutlu, Unal, Hofman, Albert, Uitterlinden, André G, Liu, Chunyu, Kraja, Aldi T, Mitchell, Paul, Gudnason, Vilmundur, Rotter, Jerome I, Boerwinkle, Eric, van Duijn, Cornelia M, Psaty, Bruce M, and Wong, Tien Y

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Genetics, Eye Disease and Disorders of Vision, Clinical Research, Human Genome, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Adult, Aged, Aged, 80 and over, Alleles, Arterioles, DNA-Binding Proteins, Female, Gene Frequency, Genetic Loci, Humans, Male, Middle Aged, Nuclear Proteins, Polymorphism, Single Nucleotide, Retinal Artery, Retinal Vein, TEA Domain Transcription Factors, Tetraspanins, Transcription Factors, Venules, meta-analysis, genetics, microcirculation, exome, retina, CHARGE Exome Chip Blood Pressure Consortium, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThere is increasing evidence that retinal microvascular diameters are associated with cardiovascular and cerebrovascular conditions. The shared genetic effects of these associations are currently unknown. The aim of this study was to increase our understanding of the genetic factors that mediate retinal vessel size.Methods and resultsThis study extends previous genome-wide association study results using 24 000+ multiethnic participants from 7 discovery cohorts and 5000+ subjects of European ancestry from 2 replication cohorts. Using the Illumina HumanExome BeadChip, we investigate the association of single-nucleotide polymorphisms and variants collectively across genes with summary measures of retinal vessel diameters, referred to as the central retinal venule equivalent and the central retinal arteriole equivalent. We report 4 new loci associated with central retinal venule equivalent, one of which is also associated with central retinal arteriole equivalent. The 4 single-nucleotide polymorphisms are rs7926971 in TEAD1 (P=3.1×10(-) (11); minor allele frequency=0.43), rs201259422 in TSPAN10 (P=4.4×10(-9); minor allele frequency=0.27), rs5442 in GNB3 (P=7.0×10(-10); minor allele frequency=0.05), and rs1800407 in OCA2 (P=3.4×10(-8); minor allele frequency=0.05). The latter single-nucleotide polymorphism, rs1800407, was also associated with central retinal arteriole equivalent (P=6.5×10(-12)). Results from the gene-based burden tests were null. In phenotype look-ups, single-nucleotide polymorphism rs201255422 was associated with both systolic (P=0.001) and diastolic blood pressures (P=8.3×10(-04)).ConclusionsOur study expands the understanding of genetic factors influencing the size of the retinal microvasculature. These findings may also provide insight into the relationship between retinal and systemic microvascular disease.

Published
2016

12. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

Author

de Vries, Paul S, Chasman, Daniel I, Sabater-Lleal, Maria, Chen, Ming-Huei, Huffman, Jennifer E, Steri, Maristella, Tang, Weihong, Teumer, Alexander, Marioni, Riccardo E, Grossmann, Vera, Hottenga, Jouke J, Trompet, Stella, Müller-Nurasyid, Martina, Zhao, Jing Hua, Brody, Jennifer A, Kleber, Marcus E, Guo, Xiuqing, Wang, Jie Jin, Auer, Paul L, Attia, John R, Yanek, Lisa R, Ahluwalia, Tarunveer S, Lahti, Jari, Venturini, Cristina, Tanaka, Toshiko, Bielak, Lawrence F, Joshi, Peter K, Rocanin-Arjo, Ares, Kolcic, Ivana, Navarro, Pau, Rose, Lynda M, Oldmeadow, Christopher, Riess, Helene, Mazur, Johanna, Basu, Saonli, Goel, Anuj, Yang, Qiong, Ghanbari, Mohsen, Willemsen, Gonneke, Rumley, Ann, Fiorillo, Edoardo, de Craen, Anton JM, Grotevendt, Anne, Scott, Robert, Taylor, Kent D, Delgado, Graciela E, Yao, Jie, Kifley, Annette, Kooperberg, Charles, Qayyum, Rehan, Lopez, Lorna M, Berentzen, Tina L, Räikkönen, Katri, Mangino, Massimo, Bandinelli, Stefania, Peyser, Patricia A, Wild, Sarah, Trégouët, David-Alexandre, Wright, Alan F, Marten, Jonathan, Zemunik, Tatijana, Morrison, Alanna C, Sennblad, Bengt, Tofler, Geoffrey, de Maat, Moniek PM, de Geus, Eco JC, Lowe, Gordon D, Zoledziewska, Magdalena, Sattar, Naveed, Binder, Harald, Völker, Uwe, Waldenberger, Melanie, Khaw, Kay-Tee, Mcknight, Barbara, Huang, Jie, Jenny, Nancy S, Holliday, Elizabeth G, Qi, Lihong, Mcevoy, Mark G, Becker, Diane M, Starr, John M, Sarin, Antti-Pekka, Hysi, Pirro G, Hernandez, Dena G, Jhun, Min A, Campbell, Harry, Hamsten, Anders, Rivadeneira, Fernando, Mcardle, Wendy L, Slagboom, P Eline, Zeller, Tanja, Koenig, Wolfgang, Psaty, Bruce M, Haritunians, Talin, Liu, Jingmin, Palotie, Aarno, Uitterlinden, André G, Stott, David J, Hofman, Albert, and Franco, Oscar H

Subjects
Biological Sciences, Genetics, Human Genome, Adult, Aged, Aged, 80 and over, Female, Fibrinogen, Genetic Loci, Genome-Wide Association Study, Humans, INDEL Mutation, Male, Middle Aged, Polymorphism, Single Nucleotide, White People, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.

Published
2016

13. A common variant mapping to CACNA1A is associated with susceptibility to exfoliation syndrome

Author

Aung, Tin, Ozaki, Mineo, Mizoguchi, Takanori, Allingham, R Rand, Li, Zheng, Haripriya, Aravind, Nakano, Satoko, Uebe, Steffen, Harder, Jeffrey M, Chan, Anita SY, Lee, Mei Chin, Burdon, Kathryn P, Astakhov, Yury S, Abu-Amero, Khaled K, Zenteno, Juan C, Nilgün, Yildirim, Zarnowski, Tomasz, Pakravan, Mohammad, Safieh, Leen Abu, Jia, Liyun, Wang, Ya Xing, Williams, Susan, Paoli, Daniela, Schlottmann, Patricio G, Huang, Lulin, Sim, Kar Seng, Foo, Jia Nee, Nakano, Masakazu, Ikeda, Yoko, Kumar, Rajesh S, Ueno, Morio, Manabe, Shin-ichi, Hayashi, Ken, Kazama, Shigeyasu, Ideta, Ryuichi, Mori, Yosai, Miyata, Kazunori, Sugiyama, Kazuhisa, Higashide, Tomomi, Chihara, Etsuo, Inoue, Kenji, Ishiko, Satoshi, Yoshida, Akitoshi, Yanagi, Masahide, Kiuchi, Yoshiaki, Aihara, Makoto, Ohashi, Tsutomu, Sakurai, Toshiya, Sugimoto, Takako, Chuman, Hideki, Matsuda, Fumihiko, Yamashiro, Kenji, Gotoh, Norimoto, Miyake, Masahiro, Astakhov, Sergei Y, Osman, Essam A, Al-Obeidan, Saleh A, Owaidhah, Ohoud, Al-Jasim, Leyla, Shahwan, Sami Al, Fogarty, Rhys A, Leo, Paul, Yetkin, Yaz, Oğuz, Çilingir, Kanavi, Mozhgan Rezaei, Beni, Afsaneh Naderi, Yazdani, Shahin, Akopov, Evgeny L, Toh, Kai-Yee, Howell, Gareth R, Orr, Andrew C, Goh, Yufen, Meah, Wee Yang, Peh, Su Qin, Kosior-Jarecka, Ewa, Lukasik, Urszula, Krumbiegel, Mandy, Vithana, Eranga N, Wong, Tien Yin, Liu, Yutao, Koch, Allison E Ashley, Challa, Pratap, Rautenbach, Robyn M, Mackey, David A, Hewitt, Alex W, Mitchell, Paul, Wang, Jie Jin, Ziskind, Ari, Carmichael, Trevor, Ramakrishnan, Rangappa, Narendran, Kalpana, Venkatesh, Rangaraj, Vijayan, Saravanan, Zhao, Peiquan, Chen, Xueyi, Guadarrama-Vallejo, Dalia, Cheng, Ching Yu, Perera, Shamira A, Husain, Rahat, and Ho, Su-Ling

Subjects
Biological Sciences, Genetics, Rare Diseases, Human Genome, Prevention, 2.1 Biological and endogenous factors, Aetiology, Animals, Asian People, Calcium Channels, Case-Control Studies, Chromosome Mapping, Exfoliation Syndrome, Genetic Predisposition to Disease, Genome-Wide Association Study, Glaucoma, Open-Angle, HEK293 Cells, HeLa Cells, Humans, Japan, MCF-7 Cells, Mice, Mice, Inbred C57BL, Polymorphism, Single Nucleotide, Tumor Cells, Cultured, Blue Mountains Eye Study GWAS Team, Wellcome Trust Case Control Consortium 2, Hela Cells, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Exfoliation syndrome (XFS) is the most common recognizable cause of open-angle glaucoma worldwide. To better understand the etiology of XFS, we conducted a genome-wide association study (GWAS) of 1,484 cases and 1,188 controls from Japan and followed up the most significant findings in a further 6,901 cases and 20,727 controls from 17 countries across 6 continents. We discovered a genome-wide significant association between a new locus (CACNA1A rs4926244) and increased susceptibility to XFS (odds ratio (OR) = 1.16, P = 3.36 × 10(-11)). Although we also confirmed overwhelming association at the LOXL1 locus, the key SNP marker (LOXL1 rs4886776) demonstrated allelic reversal depending on the ancestry group (Japanese: OR(A allele) = 9.87, P = 2.13 × 10(-217); non-Japanese: OR(A allele) = 0.49, P = 2.35 × 10(-31)). Our findings represent the first genetic locus outside of LOXL1 surpassing genome-wide significance for XFS and provide insight into the biology and pathogenesis of the disease.

Published
2015

14. Author Correction: Detecting visually significant cataract using retinal photograph-based deep learning

Author

Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Anees, Ayesha, Lei, Xiaofeng, Rim, Tyler Hyungtaek, Chee, Miao-Li, Wang, Ya Xing, Jonas, Jost B., Thakur, Sahil, Teo, Zhen Ling, Cheung, Ning, Hamzah, Haslina, Tan, Gavin S. W., Husain, Rahat, Sabanayagam, Charumathi, Wang, Jie Jin, Chen, Qingyu, Lu, Zhiyong, Keenan, Tiarnan D., Chew, Emily Y., Tan, Ava Grace, Mitchell, Paul, Goh, Rick S. M., Xu, Xinxing, Liu, Yong, Wong, Tien Yin, and Cheng, Ching-Yu

Published
2022
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15. Is Renal Function Associated with Early Age-Related Macular Degeneration?

Author

Chong, Elaine W, Guymer, Robyn H, Klein, Ronald, Klein, Barbara E, Cotch, Mary Frances, Wang, Jie Jin, Shlipak, Michael G, and Wong, Tien Y

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Clinical Research, Kidney Disease, Eye Disease and Disorders of Vision, Macular Degeneration, Aging, Neurodegenerative, Renal and urogenital, Eye, Aged, Aged, 80 and over, Biomarkers, Creatinine, Cross-Sectional Studies, Cystatin C, Female, Glomerular Filtration Rate, Humans, Kidney, Male, Middle Aged, Odds Ratio, Renal Insufficiency, Chronic, age-related macular degeneration, kidney, renal function, Medical and Health Sciences, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract

PurposeAge-related macular degeneration (AMD) and chronic kidney disease both involve immune dysregulation and may share underlying pathophysiologic changes to systemic homeostasis. Hence, we aim to evaluate associations between impaired kidney function and early AMD, in a search for urinary biomarkers for AMD.MethodsA population-based, cross-sectional analysis of persons aged 45 to 84 years was conducted with renal function measured using serum creatinine and cystatin C levels and the estimated glomerular filtration rate (eGFR) calculated. Age-related macular degeneration status was ascertained from retinal photographs.ResultsOf 5874 participants, 221 had early AMD. High serum cystatin C and low eGFR (≤60 ml/min/1.73 m) were not associated with early AMD in our multivariate analyses. Among normotensive persons, however, highest versus other deciles of cystatin C were associated with an increased prevalence of early AMD (odds ratio, 1.80; 95% confidence interval, 1.00 to 3.23).ConclusionsResults could not confirm an association between kidney function and early AMD. The borderline association between cystatin C and early AMD in normotensive persons require further verification.

Published
2014

16. Genome-wide meta-analysis of myopia and hyperopia provides evidence for replication of 11 loci.

Author

Simpson, Claire L, Wojciechowski, Robert, Oexle, Konrad, Murgia, Federico, Portas, Laura, Li, Xiaohui, Verhoeven, Virginie JM, Vitart, Veronique, Schache, Maria, Hosseini, S Mohsen, Hysi, Pirro G, Raffel, Leslie J, Cotch, Mary Frances, Chew, Emily, Klein, Barbara EK, Klein, Ronald, Wong, Tien Yin, van Duijn, Cornelia M, Mitchell, Paul, Saw, Seang Mei, Fossarello, Maurizio, Wang, Jie Jin, DCCT/EDIC Research Group, Polašek, Ozren, Campbell, Harry, Rudan, Igor, Oostra, Ben A, Uitterlinden, André G, Hofman, Albert, Rivadeneira, Fernando, Amin, Najaf, Karssen, Lennart C, Vingerling, Johannes R, Döring, Angela, Bettecken, Thomas, Bencic, Goran, Gieger, Christian, Wichmann, H-Erich, Wilson, James F, Venturini, Cristina, Fleck, Brian, Cumberland, Phillippa M, Rahi, Jugnoo S, Hammond, Chris J, Hayward, Caroline, Wright, Alan F, Paterson, Andrew D, Baird, Paul N, Klaver, Caroline CW, Rotter, Jerome I, Pirastu, Mario, Meitinger, Thomas, Bailey-Wilson, Joan E, and Stambolian, Dwight

Subjects
DCCT/EDIC Research Group, Eye, Humans, Hyperopia, Myopia, Genetic Predisposition to Disease, Genetic Markers, Age of Onset, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Alleles, Adult, Aged, Aged, 80 and over, Middle Aged, European Continental Ancestry Group, Female, Male, Genetic Association Studies, and over, Polymorphism, Single Nucleotide, General Science & Technology
Abstract

Refractive error (RE) is a complex, multifactorial disorder characterized by a mismatch between the optical power of the eye and its axial length that causes object images to be focused off the retina. The two major subtypes of RE are myopia (nearsightedness) and hyperopia (farsightedness), which represent opposite ends of the distribution of the quantitative measure of spherical refraction. We performed a fixed effects meta-analysis of genome-wide association results of myopia and hyperopia from 9 studies of European-derived populations: AREDS, KORA, FES, OGP-Talana, MESA, RSI, RSII, RSIII and ERF. One genome-wide significant region was observed for myopia, corresponding to a previously identified myopia locus on 8q12 (p = 1.25×10(-8)), which has been reported by Kiefer et al. as significantly associated with myopia age at onset and Verhoeven et al. as significantly associated to mean spherical-equivalent (MSE) refractive error. We observed two genome-wide significant associations with hyperopia. These regions overlapped with loci on 15q14 (minimum p value = 9.11×10(-11)) and 8q12 (minimum p value 1.82×10(-11)) previously reported for MSE and myopia age at onset. We also used an intermarker linkage- disequilibrium-based method for calculating the effective number of tests in targeted regional replication analyses. We analyzed myopia (which represents the closest phenotype in our data to the one used by Kiefer et al.) and showed replication of 10 additional loci associated with myopia previously reported by Kiefer et al. This is the first replication of these loci using myopia as the trait under analysis. "Replication-level" association was also seen between hyperopia and 12 of Kiefer et al.'s published loci. For the loci that show evidence of association to both myopia and hyperopia, the estimated effect of the risk alleles were in opposite directions for the two traits. This suggests that these loci are important contributors to variation of refractive error across the distribution.

Published
2014

17. Joint Contribution of Genetic Susceptibility and Modifiable Factors to the Progression of Age-Related Macular Degeneration over 10 Years: The Three Continent AMD Consortium Report

Author

Joachim, Nichole, Kifley, Annette, Colijn, Johanna Maria, Lee, Kristine E., Buitendijk, Gabriëlle H.S., Klein, Barbara E.K., Myers, Chelsea, Meuer, Stacy M., Tan, Ava G., Flood, Victoria, Schoufour, Josje D., Franco, Oscar H., Holliday, Elizabeth G., Attia, John, Liew, Gerald, Iyengar, Sudha K., de Jong, Paulus T.V.M., Hofman, Albert, Vingerling, Johannes R., Mitchell, Paul, Klein, Ronald, Klaver, Caroline C.W., and Wang, Jie Jin

Published
2018
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19. Nine Loci for Ocular Axial Length Identified through Genome-wide Association Studies, Including Shared Loci with Refractive Error

Author

Cheng, Ching-Yu, Schache, Maria, Ikram, M Kamran, Young, Terri L, Guggenheim, Jeremy A, Vitart, Veronique, MacGregor, Stuart, Verhoeven, Virginie JM, Barathi, Veluchamy A, Liao, Jiemin, Hysi, Pirro G, Bailey-Wilson, Joan E, St. Pourcain, Beate, Kemp, John P, McMahon, George, Timpson, Nicholas J, Evans, David M, Montgomery, Grant W, Mishra, Aniket, Wang, Ya Xing, Wang, Jie Jin, Rochtchina, Elena, Polasek, Ozren, Wright, Alan F, Amin, Najaf, van Leeuwen, Elisabeth M, Wilson, James F, Pennell, Craig E, van Duijn, Cornelia M, de Jong, Paulus TVM, Vingerling, Johannes R, Zhou, Xin, Chen, Peng, Li, Ruoying, Tay, Wan-Ting, Zheng, Yingfeng, Chew, Merwyn, Error and Myopia, Consortium for Refractive, Cohort, 1958 British Birth, Rahi, Jugnoo S, cohort, Aichi, Yoshimura, Nagahisa, Yamashiro, Kenji, Miyake, Masahiro, ALIENOR, Delcourt, Cécile, Maubaret, Cecilia, ALSPAC, Williams, Cathy, Northstone, Kate, Ring, Susan M, Davey-Smith, George, ANZRAG, Craig, Jamie E, Burdon, Kathryn P, Fogarty, Rhys D, AREDS1a, Iyengar, Sudha K, Igo, Robert P, Chew, Emily, Janmahasathian, Sarayut, AREDS1b, AREDS1c, Stambolian, Dwight, Wilson, Joan E Bailey, BATS, Lu, Yi, Study, Beijing Eye, Jonas, Jost B, Xu, Liang, Saw, Seang-Mei, BMES, Baird, Paul N, Mitchell, Paul, CIEMS, Nangia, Vinay, CROATIA-Korčula, Hayward, Caroline, CROATIA-Split, Campbell, Harry, CROATIA-Vis, Rudan, Igor, Vatavuk, Zoran, DCCT, Paterson, Andrew D, Hosseini, S Mohsen, GWAS, FECD Fuchs Dystrophy, Fondran, Jeremy R, Study, Myopia, Feng, Sheng, and Study, Erasmus Rucphen Family

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Allied Health and Rehabilitation Science, Health Sciences, Ophthalmology and Optometry, Human Genome, Eye Disease and Disorders of Vision, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Eye, Adolescent, Adult, Aged, Asian People, Axial Length, Eye, Eye Proteins, Female, Gene Expression, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Refractive Errors, Signal Transduction, White People, Consortium for Refractive Error and Myopia, Fuchs' Genetics Multi-Center Study Group, Wellcome Trust Case Control Consortium 2, Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions, and Complications Research Group, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Refractive errors are common eye disorders of public health importance worldwide. Ocular axial length (AL) is the major determinant of refraction and thus of myopia and hyperopia. We conducted a meta-analysis of genome-wide association studies for AL, combining 12,531 Europeans and 8,216 Asians. We identified eight genome-wide significant loci for AL (RSPO1, C3orf26, LAMA2, GJD2, ZNRF3, CD55, MIP, and ALPPL2) and confirmed one previously reported AL locus (ZC3H11B). Of the nine loci, five (LAMA2, GJD2, CD55, ALPPL2, and ZC3H11B) were associated with refraction in 18 independent cohorts (n = 23,591). Differential gene expression was observed for these loci in minus-lens-induced myopia mouse experiments and human ocular tissues. Two of the AL genes, RSPO1 and ZNRF3, are involved in Wnt signaling, a pathway playing a major role in the regulation of eyeball size. This study provides evidence of shared genes between AL and refraction, but importantly also suggests that these traits may have unique pathways.

Published
2013

20. Genome-Wide Association Study of Retinopathy in Individuals without Diabetes

Author

Jensen, Richard A, Sim, Xueling, Li, Xiaohui, Cotch, Mary Frances, Ikram, M Kamran, Holliday, Elizabeth G, Eiriksdottir, Gudny, Harris, Tamara B, Jonasson, Fridbert, Klein, Barbara EK, Launer, Lenore J, Smith, Albert Vernon, Boerwinkle, Eric, Cheung, Ning, Hewitt, Alex W, Liew, Gerald, Mitchell, Paul, Wang, Jie Jin, Attia, John, Scott, Rodney, Glazer, Nicole L, Lumley, Thomas, McKnight, Barbara, Psaty, Bruce M, Taylor, Kent, Hofman, Albert, de Jong, Paulus TVM, Rivadeneira, Fernando, Uitterlinden, Andre G, Tay, Wan-Ting, Teo, Yik Ying, Seielstad, Mark, Liu, Jianjun, Cheng, Ching-Yu, Saw, Seang-Mei, Aung, Tin, Ganesh, Santhi K, O'Donnell, Christopher J, Nalls, Mike A, Wiggins, Kerri L, Kuo, Jane Z, team, The Blue Mountains Eye Study GWAS, Consortium, CKDGen, van Duijn, Cornelia M, Gudnason, Vilmundur, Klein, Ronald, Siscovick, David S, Rotter, Jerome I, Tai, E Shong, Vingerling, Johannes, and Wong, Tien Y

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Human Genome, Hypertension, Diabetes, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Cardiovascular, Aged, Aged, 80 and over, Female, Genome-Wide Association Study, Genotype, Histone Deacetylases, Humans, Male, Polymorphism, Single Nucleotide, Repressor Proteins, Retinal Diseases, Blue Mountains Eye Study GWAS Team, CKDGen Consortium, General Science & Technology
Abstract

BackgroundMild retinopathy (microaneurysms or dot-blot hemorrhages) is observed in persons without diabetes or hypertension and may reflect microvascular disease in other organs. We conducted a genome-wide association study (GWAS) of mild retinopathy in persons without diabetes.MethodsA working group agreed on phenotype harmonization, covariate selection and analytic plans for within-cohort GWAS. An inverse-variance weighted fixed effects meta-analysis was performed with GWAS results from six cohorts of 19,411 Caucasians. The primary analysis included individuals without diabetes and secondary analyses were stratified by hypertension status. We also singled out the results from single nucleotide polymorphisms (SNPs) previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy.ResultsNo SNPs reached genome-wide significance in the primary analysis or the secondary analysis of participants with hypertension. SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9) on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3±0.23 (beta ± standard error), p = 6.6×10(-9). Evidence suggests this was a false positive finding. The minor allele frequency was low (∼2%), the quality of the imputation was moderate (r(2) ∼0.7), and no other common variants in the HDAC9 gene were associated with the outcome. SNPs found to be associated with diabetes and hypertension in other GWAS were not associated with retinopathy in persons without diabetes or in subgroups with or without hypertension.ConclusionsThis GWAS of retinopathy in individuals without diabetes showed little evidence of genetic associations. Further studies are needed to identify genes associated with these signs in order to help unravel novel pathways and determinants of microvascular diseases.

Published
2013

21. Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Author

Yonova-Doing, Ekaterina, Zhao, Wanting, Igo, Jr, Robert P., Wang, Chaolong, Sundaresan, Periasamy, Lee, Kristine E., Jun, Gyungah R., Alves, Alexessander Couto, Chai, Xiaoran, Chan, Anita S. Y., Lee, Mei Chin, Fong, Allan, Tan, Ava G., Khor, Chiea Chuen, Chew, Emily Y., Hysi, Pirro G., Fan, Qiao, Chua, Jacqueline, Chung, Jaeyoon, Liao, Jiemin, Colijn, Johanna M., Burdon, Kathryn P., Fritsche, Lars G., Swift, Maria K., Hilmy, Maryam H., Chee, Miao Ling, Tedja, Milly, Bonnemaijer, Pieter W. M., Gupta, Preeti, Tan, Queenie S., Li, Zheng, Vithana, Eranga N., Ravindran, Ravilla D., Chee, Soon-Phaik, Shi, Yuan, Liu, Wenting, Su, Xinyi, Sim, Xueling, Shen, Yang, Wang, Ya Xing, Li, Hengtong, Tham, Yih-Chung, Teo, Yik Ying, Aung, Tin, Small, Kerrin S., Mitchell, Paul, Jonas, Jost B., Wong, Tien Yin, Fletcher, Astrid E., Klaver, Caroline C. W., Klein, Barbara E. K., Wang, Jie Jin, Iyengar, Sudha K., Hammond, Christopher J., and Cheng, Ching-Yu

Published
2020
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24. International Photographic Classification and Grading System for Myopic Maculopathy

Author

Ohno-Matsui, Kyoko, Moriyama, Muka, Shinohara, Kosei, Kawasaki, Ryo, Kawasaki, Yumiko, Yamazaki, Mai, Jonas, Jost B., Cheung, Chui-Ming Gemmy, Saw, Seang-Mei, Wong, Tien Yin, Verhoeven, Virginie J.M., Klaver, Caroline C.W., Meuer, Stacy, Klein, Ronald, Klein, Barbara E., Ishibashi, Tatsuro, Yasuda, Miho, Sugano, Akira, Yamashita, Hidetoshi, Wang, Jie Jin, Mitchell, Paul, Wang, Ning Li, Hashemi, Hassan, Fotouhi, Akbar, Polašek, Ozren, Vitart, Veronique, Wilson, James F., Fleck, Brian, and Cheung, Chui Ming Gemmy

Published
2015
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30. Genetically low vitamin D concentrations and myopic refractive error: a Mendelian randomization study

Author

Cuellar-Partida, Gabriel, Williams, Katie M, Yazar, Seyhan, Guggenheim, Jeremy A, Hewitt, Alex W, Williams, Cathy, Wang, Jie Jin, Kho, Pik-Fang, Saw, Seang Mei, Cheng, Ching-Yu, Wong, Tien Yin, Aung, Tin, Young, Terri L, Tideman, Willem L J, Jonas, Jost B, Mitchell, Paul, Wojciechowski, Robert, Stambolian, Dwight, Hysi, Pirro, Hammond, Christopher J, Mackey, David A, Lucas, Robyn M, and MacGregor, Stuart

Published
2017
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34. Erratum to Gene Set Enrichment Analyses Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. Am J Ophthalmol 2022;233:111-123

Author

Sobrin, Lucia, primary, Susarla, Gayatri, additional, Stanwyck, Lynn, additional, Rouhana, John M., additional, Li, Ashley, additional, Pollack, Samuela, additional, Igo, Robert P., additional, Jensen, Richard A., additional, Li, Xiaohui, additional, Ng, Maggie C.Y., additional, Smith, Albert V., additional, Kuo, Jane Z., additional, Taylor, Kent D., additional, Freedman, Barry I., additional, Bowden, Donald W., additional, Penman, Alan, additional, Chen, Ching J., additional, Craig, Jamie E., additional, Adler, Sharon G., additional, Chew, Emily Y., additional, Cotch, Mary Frances, additional, Yaspan, Brian, additional, Mitchell, Paul, additional, Wang, Jie Jin, additional, Klein, Barbara E.K., additional, Wong, Tien Y., additional, Rotter, Jerome I., additional, Burdon, Kathyrn P., additional, Iyengar, Sudha K., additional, and Segrè, Ayellet V., additional

Published
2022
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44. New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics

Author

Springelkamp, Henriët, Iglesias, Adriana I., Mishra, Aniket, Höhn, René, Wojciechowski, Robert, Khawaja, Anthony P., Nag, Abhishek, Wang, Ya Xing, Wang, Jie Jin, Cuellar-Partida, Gabriel, Gibson, Jane, Bailey, Jessica N. Cooke, Vithana, Eranga N., Gharahkhani, Puya, Boutin, Thibaud, Ramdas, Wishal D., Zeller, Tanja, Luben, Robert N., Yonova-Doing, Ekaterina, Viswanathan, Ananth C., Yazar, Seyhan, Cree, Angela J., Haines, Jonathan L., Koh, Jia Yu, Souzeau, Emmanuelle, Wilson, James F., Amin, Najaf, Müller, Christian, Venturini, Cristina, Kearns, Lisa S., Kang, Jae Hee, Tham, Yih Chung, Zhou, Tiger, van Leeuwen, Elisabeth M., Nickels, Stefan, Sanfilippo, Paul, Liao, Jiemin, van der Linde, Herma, Zhao, Wanting, van Koolwijk, Leonieke M.E., Zheng, Li, Rivadeneira, Fernando, Baskaran, Mani, van der Lee, Sven J., Perera, Shamira, de Jong, Paulus T.V.M., Oostra, Ben A., Uitterlinden, André G., Fan, Qiao, Hofman, Albert, Tai, E-Shyong, Vingerling, Johannes R., Sim, Xueling, Wolfs, Roger C.W., Teo, Yik Ying, Lemij, Hans G., Khor, Chiea Chuen, Willemsen, Rob, Lackner, Karl J., Aung, Tin, Jansonius, Nomdo M., Montgomery, Grant, Wild, Philipp S., Young, Terri L., Burdon, Kathryn P., Hysi, Pirro G., Pasquale, Louis R., Wong, Tien Yin, Klaver, Caroline C.W., Hewitt, Alex W., Jonas, Jost B., Mitchell, Paul, Lotery, Andrew J., Foster, Paul J., Vitart, Veronique, Pfeiffer, Norbert, Craig, Jamie E., Mackey, David A., Hammond, Christopher J., Wiggs, Janey L., Cheng, Ching-Yu, van Duijn, Cornelia M., and MacGregor, Stuart

Published
2017
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