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14 results on '"Caroline C W Klaver"'

1. GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

Author

Arno van Hilten, Manfred Kayser, Gennady V. Roshchupkin, Wiro J. Niessen, Hieab H.H. Adams, Caroline C W Klaver, Steven A. Kushner, M. Arfan Ikram, Radiology & Nuclear Medicine, Psychiatry, Genetic Identification, Epidemiology, Clinical Genetics, and Ophthalmology

Subjects
Population genetics, Epidemiology, Computer science, QH301-705.5, Schizophrenia (object-oriented programming), Medicine (miscellaneous), Computational biology, Article, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], General Biochemistry, Genetics and Molecular Biology, Population genomics, Novel gene, Deep Learning, SDG 3 - Good Health and Well-being, Machine learning, Humans, Biology (General), Artificial neural network, business.industry, Deep learning, Genetic data, Phenotype, Genetic architecture, Neural Networks, Computer, Artificial intelligence, General Agricultural and Biological Sciences, business, Software
Abstract

Applying deep learning in population genomics is challenging because of computational issues and lack of interpretable models. Here, we propose GenNet, a novel open-source deep learning framework for predicting phenotypes from genetic variants. In this framework, interpretable and memory-efficient neural network architectures are constructed by embedding biologically knowledge from public databases, resulting in neural networks that contain only biologically plausible connections. We applied the framework to seventeen phenotypes and found well-replicated genes such as HERC2 and OCA2 for hair and eye color, and novel genes such as ZNF773 and PCNT for schizophrenia. Additionally, the framework identified ubiquitin mediated proteolysis, endocrine system and viral infectious diseases as most predictive biological pathways for schizophrenia. GenNet is a freely available, end-to-end deep learning framework that allows researchers to develop and use interpretable neural networks to obtain novel insights into the genetic architecture of complex traits and diseases., van Hilten and colleagues present GenNet, a deep-learning framework for predicting phenotype from genetic data. This framework generates interpretable neural networks that provide insight into the genetic basis of complex traits and diseases.

Published
2021

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

Author

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

Subjects
0301 basic medicine, Genotype, genetic structures, QH301-705.5, Medicine (miscellaneous), Genome-wide association study, Disease, Bioinformatics, Polymorphism, Single Nucleotide, Genome-wide association studies, Cataract, Article, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, 0302 clinical medicine, Genetic variation, Humans, Medicine, Genetic Predisposition to Disease, Allele, Biology (General), Alleles, Genetic Association Studies, Genetic association, business.industry, SOXB1 Transcription Factors, Genetic Variation, medicine.disease, eye diseases, 030104 developmental biology, Age-related nuclear cataract, 030221 ophthalmology & optometry, Congenital cataracts, Lens diseases, sense organs, General Agricultural and Biological Sciences, business, Genome-Wide Association Study
Abstract

Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10−19), TMPRSS5 (rs4936279, P = 2.5 × 10−10), LINC01412 (rs16823886, P = 1.3 × 10−9), GLTSCR1 (rs1005911, P = 9.8 × 10−9), and COMMD1 (rs62149908, P = 1.2 × 10−8). The results suggest a strong link of age-related nuclear cataract with congenital cataract and eye development genes, and the importance of common genetic variants in maintaining crystalline lens integrity in the aging eye., Here, the authors report a multi-ethnic genome wide association meta-analysis of 12 studies from the International Cataract Genetics Consortium. They find six new loci associated with age-related nuclear cataract, in addition to replicating the association at CRYAA, and suggest a strong genetic link between age-related nuclear and congenital cataracts.

Published
2020

3. Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization

Author

Johanna M. Colijn, Verena Zuber, Caroline C W Klaver, Stephen Burgess, Zuber, Verena [0000-0001-9827-1877], Colijn, Johanna Maria [0000-0002-8324-7898], Klaver, Caroline [0000-0002-2355-5258], Burgess, Stephen [0000-0001-5365-8760], Apollo - University of Cambridge Repository, Epidemiology, and Ophthalmology

Subjects
0301 basic medicine, Statistical methods, Epidemiology, Computer science, Science, 631/208/205/2138, 45/43, Specific risk, General Physics and Astronomy, Genome-wide association study, 45/47, Bayesian inference, Genome-wide association studies, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Bayes' theorem, All institutes and research themes of the Radboud University Medical Center, 0302 clinical medicine, 692/53, Risk Factors, Linear regression, Statistics, Mendelian randomization, Humans, 692/308/174, 030212 general & internal medicine, lcsh:Science, Multidisciplinary, Models, Genetic, Multivariable calculus, Instrumental variable, article, Bayes Theorem, General Chemistry, 631/114/2415, Mendelian Randomization Analysis, 3. Good health, 030104 developmental biology, lcsh:Q, Biomarkers, Genome-Wide Association Study
Abstract

Modern high-throughput experiments provide a rich resource to investigate causal determinants of disease risk. Mendelian randomization (MR) is the use of genetic variants as instrumental variables to infer the causal effect of a specific risk factor on an outcome. Multivariable MR is an extension of the standard MR framework to consider multiple potential risk factors in a single model. However, current implementations of multivariable MR use standard linear regression and hence perform poorly with many risk factors. Here, we propose a two-sample multivariable MR approach based on Bayesian model averaging (MR-BMA) that scales to high-throughput experiments. In a realistic simulation study, we show that MR-BMA can detect true causal risk factors even when the candidate risk factors are highly correlated. We illustrate MR-BMA by analysing publicly-available summarized data on metabolites to prioritise likely causal biomarkers for age-related macular degeneration., Multivariable Mendelian randomization (MR) extends the standard MR framework to consider multiple risk factors in a single model. Here, Zuber et al. propose MR-BMA, a Bayesian variable selection approach to identify the likely causal determinants of a disease from many candidate risk factors as for example high-throughput data sets.

Published
2020

4. Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases

Author

Sofía Ortín Vela, Michael J. Beyeler, Olga Trofimova, Ilaria Iuliani, Jose D. Vargas Quiros, Victor A. de Vries, Ilenia Meloni, Adham Elwakil, Florence Hoogewoud, Bart Liefers, David Presby, Wishal D. Ramdas, Mattia Tomasoni, Reinier Schlingemann, Caroline C. W. Klaver, and Sven Bergmann

Subjects
Science
Abstract

Abstract Fundus images allow for non-invasive assessment of the retinal vasculature whose features provide important information on health. Using a fully automated image processing pipeline, we extract 17 different morphological vascular phenotypes, including median vessels diameter, diameter variability, main temporal angles, vascular density, central retinal equivalents, the number of bifurcations, and tortuosity, from over 130,000 fundus images of close to 72,000 UK Biobank subjects. We perform genome-wide association studies of these phenotypes. From this, we estimate their heritabilities, ranging between 5 and 25%, and genetic cross-phenotype correlations, which mostly mirror the corresponding phenotypic correlations, but tend to be slightly larger. Projecting our genetic association signals onto genes and pathways reveals remarkably low overlap suggesting largely decoupled mechanisms modulating the different phenotypes. We find that diameter variability, especially for the veins, associates with diseases including heart attack, pulmonary embolism, and age of death. Mendelian Randomization analysis suggests a causal influence of blood pressure and body mass index on retinal vessel morphology, among other results. We validate key findings in two independent smaller cohorts. Our analyses provide evidence that large-scale analysis of image-derived vascular phenotypes has sufficient power for obtaining functional and causal insights into the processes modulating the retinal vasculature.

Published
2024
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5. Post-GWAS screening of candidate genes for refractive error in mutant zebrafish models

Author

Wim H. Quint, Kirke C. D. Tadema, Nina C. C. J. Kokke, Magda A. Meester-Smoor, Adam C. Miller, Rob Willemsen, Caroline C. W. Klaver, and Adriana I. Iglesias

Subjects
Medicine, Science
Abstract

Abstract Genome-wide association studies (GWAS) have dissected numerous genetic factors underlying refractive errors (RE) such as myopia. Despite significant insights into understanding the genetic architecture of RE, few studies have validated and explored the functional role of candidate genes within these loci. To functionally follow-up on GWAS and characterize the potential role of candidate genes on the development of RE, we prioritized nine genes (TJP2, PDE11A, SHISA6, LAMA2, LRRC4C, KCNQ5, GNB3, RBFOX1, and GRIA4) based on biological and statistical evidence; and used CRISPR/cas9 to generate knock-out zebrafish mutants. These mutant fish were screened for abnormalities in axial length by spectral-domain optical coherence tomography and refractive status by eccentric photorefraction at the juvenile (2 months) and adult (4 months) developmental stage. We found a significantly increased axial length and myopic shift in refractive status in three of our studied mutants, indicating a potential involvement of the human orthologs (LAMA2, LRRC4C, and KCNQ5) in myopia development. Further, in-situ hybridization studies showed that all three genes are expressed throughout the zebrafish retina. Our zebrafish models provide evidence of a functional role of these three genes in refractive error development and offer opportunities to elucidate pathways driving the retina-to-sclera signaling cascade that leads to myopia.

Published
2023
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6. Rare variant analyses across multiethnic cohorts identify novel genes for refractive error

Author

Anthony M. Musolf, Annechien E. G. Haarman, Robert N. Luben, Jue-Sheng Ong, Karina Patasova, Rolando Hernandez Trapero, Joseph Marsh, Ishika Jain, Riya Jain, Paul Zhiping Wang, Deyana D. Lewis, Milly S. Tedja, Adriana I. Iglesias, Hengtong Li, Cameron S. Cowan, Consortium for Refractive Error and Myopia (CREAM), Ginevra Biino, Alison P. Klein, Priya Duggal, David A. Mackey, Caroline Hayward, Toomas Haller, Andres Metspalu, Juho Wedenoja, Olavi Pärssinen, Ching-Yu Cheng, Seang-Mei Saw, Dwight Stambolian, Pirro G. Hysi, Anthony P. Khawaja, Veronique Vitart, Christopher J. Hammond, Cornelia M. van Duijn, Virginie J. M. Verhoeven, Caroline C. W. Klaver, and Joan E. Bailey-Wilson

Subjects
Biology (General), QH301-705.5
Abstract

A multi-ethnic meta-analysis of exome array data from over 27,000 participants identifies several rare variants that could contribute to risk of ocular refractive error.

Published
2023
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7. Whole genome sequencing and in vitro splice assays reveal genetic causes for inherited retinal diseases

Author

Zeinab Fadaie, Laura Whelan, Tamar Ben-Yosef, Adrian Dockery, Zelia Corradi, Christian Gilissen, Lonneke Haer-Wigman, Jordi Corominas, Galuh D. N. Astuti, Laura de Rooij, L. Ingeborgh van den Born, Caroline C. W. Klaver, Carel B. Hoyng, Niamh Wynne, Emma S. Duignan, Paul F. Kenna, Frans P. M. Cremers, G. Jane Farrar, and Susanne Roosing

Subjects
Medicine, Genetics, QH426-470
Abstract

Abstract Inherited retinal diseases (IRDs) are a major cause of visual impairment. These clinically heterogeneous disorders are caused by pathogenic variants in more than 270 genes. As 30–40% of cases remain genetically unexplained following conventional genetic testing, we aimed to obtain a genetic diagnosis in an IRD cohort in which the genetic cause was not found using whole-exome sequencing or targeted capture sequencing. We performed whole-genome sequencing (WGS) to identify causative variants in 100 unresolved cases. After initial prioritization, we performed an in-depth interrogation of all noncoding and structural variants in genes when one candidate variant was detected. In addition, functional analysis of putative splice-altering variants was performed using in vitro splice assays. We identified the genetic cause of the disease in 24 patients. Causative coding variants were observed in genes such as ATXN7, CEP78, EYS, FAM161A, and HGSNAT. Gene disrupting structural variants were also detected in ATXN7, PRPF31, and RPGRIP1. In 14 monoallelic cases, we prioritized candidate noncanonical splice sites or deep-intronic variants that were predicted to disrupt the splicing process based on in silico analyses. Of these, seven cases were resolved as they carried pathogenic splice defects. WGS is a powerful tool to identify causative variants residing outside coding regions or heterozygous structural variants. This approach was most efficient in cases with a distinct clinical diagnosis. In addition, in vitro splice assays provide important evidence of the pathogenicity of rare variants.

Published
2021
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8. Loss of Gap Junction Delta-2 (GJD2) gene orthologs leads to refractive error in zebrafish

Author

Wim H. Quint, Kirke C. D. Tadema, Erik de Vrieze, Rachel M. Lukowicz, Sanne Broekman, Beerend H. J. Winkelman, Melanie Hoevenaars, H. Martijn de Gruiter, Erwin van Wijk, Frank Schaeffel, Magda Meester-Smoor, Adam C. Miller, Rob Willemsen, Caroline C. W. Klaver, and Adriana I. Iglesias

Subjects
Biology (General), QH301-705.5
Abstract

Quint et al. use zebrafish lines deficient in one of two orthologs of the Gap Junction Delta-2 (GJD2) gene, which is associated with myopia by genome-wide association studies. They link gjd2 with refractive error and report evidence to suggest that gjd2a plays a role in ocular biometry whilst gjd2b, previously found in the retina, possesses an additional lenticular role.

Published
2021
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9. A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus

Author

Alison J. Hardcastle, Petra Liskova, Yelena Bykhovskaya, Bennet J. McComish, Alice E. Davidson, Chris F. Inglehearn, Xiaohui Li, Hélène Choquet, Mahmoud Habeeb, Sionne E. M. Lucas, Srujana Sahebjada, Nikolas Pontikos, Karla E. Rojas Lopez, Anthony P. Khawaja, Manir Ali, Lubica Dudakova, Pavlina Skalicka, Bart T. H. Van Dooren, Annette J. M. Geerards, Christoph W. Haudum, Valeria Lo Faro, Abi Tenen, Mark J. Simcoe, Karina Patasova, Darioush Yarrand, Jie Yin, Salina Siddiqui, Aine Rice, Layal Abi Farraj, Yii-Der Ida Chen, Jugnoo S. Rahi, Ronald M. Krauss, Elisabeth Theusch, Jac C. Charlesworth, Loretta Szczotka-Flynn, Carmel Toomes, Magda A. Meester-Smoor, Andrea J. Richardson, Paul A. Mitchell, Kent D. Taylor, Ronald B. Melles, Anthony J. Aldave, Richard A. Mills, Ke Cao, Elsie Chan, Mark D. Daniell, Jie Jin Wang, Jerome I. Rotter, Alex W. Hewitt, Stuart MacGregor, Caroline C. W. Klaver, Wishal D. Ramdas, Jamie E. Craig, Sudha K. Iyengar, David O’Brart, Eric Jorgenson, Paul N. Baird, Yaron S. Rabinowitz, Kathryn P. Burdon, Chris J. Hammond, Stephen J. Tuft, and Pirro G. Hysi

Subjects
Biology (General), QH301-705.5
Abstract

Alison Hardcastle et al. report a genome-wide meta-analysis of keratoconus, a condition affecting the cornea that causes blurred vision and often leads to blindness. They identify 36 genomic regions associated with keratoconus, 31 of which are novel, and show that the genes in these regions implicate genetic pathways involved in collagen matrix integrity and cell differentiation.

Published
2021
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10. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries

Author

Puya Gharahkhani, Eric Jorgenson, Pirro Hysi, Anthony P. Khawaja, Sarah Pendergrass, Xikun Han, Jue Sheng Ong, Alex W. Hewitt, Ayellet V. Segrè, John M. Rouhana, Andrew R. Hamel, Robert P. Igo, Helene Choquet, Ayub Qassim, Navya S. Josyula, Jessica N. Cooke Bailey, Pieter W. M. Bonnemaijer, Adriana Iglesias, Owen M. Siggs, Terri L. Young, Veronique Vitart, Alberta A. H. J. Thiadens, Juha Karjalainen, Steffen Uebe, Ronald B. Melles, K. Saidas Nair, Robert Luben, Mark Simcoe, Nishani Amersinghe, Angela J. Cree, Rene Hohn, Alicia Poplawski, Li Jia Chen, Shi-Song Rong, Tin Aung, Eranga Nishanthie Vithana, NEIGHBORHOOD consortium, ANZRAG consortium, Biobank Japan project, FinnGen study, UK Biobank Eye and Vision Consortium, GIGA study group, and Me Research Team, Gen Tamiya, Yukihiro Shiga, Masayuki Yamamoto, Toru Nakazawa, Hannah Currant, Ewan Birney, Xin Wang, Adam Auton, Michelle K. Lupton, Nicholas G. Martin, Adeyinka Ashaye, Olusola Olawoye, Susan E. Williams, Stephen Akafo, Michele Ramsay, Kazuki Hashimoto, Yoichiro Kamatani, Masato Akiyama, Yukihide Momozawa, Paul J. Foster, Peng T. Khaw, James E. Morgan, Nicholas G. Strouthidis, Peter Kraft, Jae H. Kang, Chi Pui Pang, Francesca Pasutto, Paul Mitchell, Andrew J. Lotery, Aarno Palotie, Cornelia van Duijn, Jonathan L. Haines, Chris Hammond, Louis R. Pasquale, Caroline C. W. Klaver, Michael Hauser, Chiea Chuen Khor, David A. Mackey, Michiaki Kubo, Ching-Yu Cheng, Jamie E. Craig, Stuart MacGregor, and Janey L. Wiggs

Subjects
Science
Abstract

Primary open-angle glaucoma (POAG) is highly heritable, yet not well understood from a genetic perspective. Here, the authors perform a meta-analysis of genome-wide association studies in 34,179 POAG cases, identifying 44 previously unreported risk loci and mapping effects across multiple ethnicities.

Published
2021
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11. Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Author

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

Subjects
Biology (General), QH301-705.5
Abstract

Here, the authors report a multi-ethnic genome wide association meta-analysis of 12 studies from the International Cataract Genetics Consortium. They find six new loci associated with age-related nuclear cataract, in addition to replicating the association at CRYAA, and suggest a strong genetic link between age-related nuclear and congenital cataracts.

Published
2020
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12. Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases

Author

Adriana I. Iglesias, Aniket Mishra, Veronique Vitart, Yelena Bykhovskaya, René Höhn, Henriët Springelkamp, Gabriel Cuellar-Partida, Puya Gharahkhani, Jessica N. Cooke Bailey, Colin E. Willoughby, Xiaohui Li, Seyhan Yazar, Abhishek Nag, Anthony P. Khawaja, Ozren Polašek, David Siscovick, Paul Mitchell, Yih Chung Tham, Jonathan L. Haines, Lisa S. Kearns, Caroline Hayward, Yuan Shi, Elisabeth M. van Leeuwen, Kent D. Taylor, Blue Mountains Eye Study—GWAS group, Pieter Bonnemaijer, Jerome I. Rotter, Nicholas G. Martin, Tanja Zeller, Richard A. Mills, Emmanuelle Souzeau, Sandra E. Staffieri, Jost B. Jonas, Irene Schmidtmann, Thibaud Boutin, Jae H. Kang, Sionne E. M. Lucas, Tien Yin Wong, Manfred E. Beutel, James F. Wilson, NEIGHBORHOOD Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), André G. Uitterlinden, Eranga N. Vithana, Paul J. Foster, Pirro G. Hysi, Alex W. Hewitt, Chiea Chuen Khor, Louis R. Pasquale, Grant W. Montgomery, Caroline C. W. Klaver, Tin Aung, Norbert Pfeiffer, David A. Mackey, Christopher J. Hammond, Ching-Yu Cheng, Jamie E. Craig, Yaron S. Rabinowitz, Janey L. Wiggs, Kathryn P. Burdon, Cornelia M. van Duijn, and Stuart MacGregor

Subjects
Science
Abstract

Reduced central corneal thickness (CCT) is observed in common eye diseases as well as in rare Mendelian disorders. Here, in a cross-ancestry GWAS, the authors identify 19 novel genetic loci associated with CCT, a subset of which is involved in rare corneal or connective tissue disorders.

Published
2018
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13. Author Correction: Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases

Author

Adriana I. Iglesias, Aniket Mishra, Veronique Vitart, Yelena Bykhovskaya, René Höhn, Henriët Springelkamp, Gabriel Cuellar-Partida, Puya Gharahkhani, Jessica N. Cooke Bailey, Colin E. Willoughby, Xiaohui Li, Seyhan Yazar, Abhishek Nag, Anthony P. Khawaja, Ozren Polašek, David Siscovick, Paul Mitchell, Yih Chung Tham, Jonathan L. Haines, Lisa S. Kearns, Caroline Hayward, Yuan Shi, Elisabeth M. van Leeuwen, Kent D. Taylor, Blue Mountains Eye Study - GWAS group, Pieter Bonnemaijer, Jerome I. Rotter, Nicholas G. Martin, Tanja Zeller, Richard A. Mills, Emmanuelle Souzeau, Sandra E. Staffieri, Jost B. Jonas, Irene Schmidtmann, Thibaud Boutin, Jae H. Kang, Sionne E. M. Lucas, Tien Yin Wong, Manfred E. Beutel, James F. Wilson, Wellcome Trust Case Control Consortium 2 (WTCCC2), NEIGHBORHOOD consortium, André G. Uitterlinden, Eranga N. Vithana, Paul J. Foster, Pirro G. Hysi, Alex W. Hewitt, Chiea Chuen Khor, Louis R. Pasquale, Grant W. Montgomery, Caroline C. W. Klaver, Tin Aung, Norbert Pfeiffer, David A. Mackey, Christopher J. Hammond, Ching-Yu Cheng, Jamie E. Craig, Yaron S. Rabinowitz, Janey L. Wiggs, Kathryn P. Burdon, Cornelia M. van Duijn, and Stuart MacGregor

Subjects
Science
Abstract

Emmanuelle Souzeau, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this Article. This has now been corrected in both the PDF and HTML versions of the Article.

Published
2019
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14. Meta-analysis of gene–environment-wide association scans accounting for education level identifies additional loci for refractive error

Author

Qiao Fan, Virginie J. M. Verhoeven, Robert Wojciechowski, Veluchamy A. Barathi, Pirro G. Hysi, Jeremy A. Guggenheim, René Höhn, Veronique Vitart, Anthony P. Khawaja, Kenji Yamashiro, S Mohsen Hosseini, Terho Lehtimäki, Yi Lu, Toomas Haller, Jing Xie, Cécile Delcourt, Mario Pirastu, Juho Wedenoja, Puya Gharahkhani, Cristina Venturini, Masahiro Miyake, Alex W. Hewitt, Xiaobo Guo, Johanna Mazur, Jenifer E. Huffman, Katie M. Williams, Ozren Polasek, Harry Campbell, Igor Rudan, Zoran Vatavuk, James F. Wilson, Peter K. Joshi, George McMahon, Beate St Pourcain, David M. Evans, Claire L. Simpson, Tae-Hwi Schwantes-An, Robert P. Igo, Alireza Mirshahi, Audrey Cougnard-Gregoire, Céline Bellenguez, Maria Blettner, Olli Raitakari, Mika Kähönen, Ilkka Seppälä, Tanja Zeller, Thomas Meitinger, Janina S. Ried, Christian Gieger, Laura Portas, Elisabeth M. van Leeuwen, Najaf Amin, André G. Uitterlinden, Fernando Rivadeneira, Albert Hofman, Johannes R. Vingerling, Ya Xing Wang, Xu Wang, Eileen Tai-Hui Boh, M. Kamran Ikram, Charumathi Sabanayagam, Preeti Gupta, Vincent Tan, Lei Zhou, Candice E. H. Ho, Wan’e Lim, Roger W. Beuerman, Rosalynn Siantar, E-Shyong Tai, Eranga Vithana, Evelin Mihailov, Chiea-Chuen Khor, Caroline Hayward, Robert N. Luben, Paul J. Foster, Barbara E. K. Klein, Ronald Klein, Hoi-Suen Wong, Paul Mitchell, Andres Metspalu, Tin Aung, Terri L. Young, Mingguang He, Olavi Pärssinen, Cornelia M. van Duijn, Jie Jin Wang, Cathy Williams, Jost B. Jonas, Yik-Ying Teo, David A. Mackey, Konrad Oexle, Nagahisa Yoshimura, Andrew D. Paterson, Norbert Pfeiffer, Tien-Yin Wong, Paul N. Baird, Dwight Stambolian, Joan E. Bailey Wilson, Ching-Yu Cheng, Christopher J. Hammond, Caroline C. W. Klaver, Seang-Mei Saw, and Consortium for Refractive Error and Myopia (CREAM)

Subjects
Science
Abstract

This report by the Consortium for Refractive Error and Myopia uses gene-environment-wide interaction study (GEWIS) to identify genetic loci that affect environmental influence in myopia development, and identifies ethnic specific genetic loci that attribute to eye refractive errors.

Published
2016
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