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1. Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort

Author

Allen, Naomi, Aslam, Tariq, Atan, Denize, Balaskas, Konsantinos, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y.L., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Doney, Alexander, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John E.J., Garway-Heath, David F., Gibson, Jane, Guggenheim, Jeremy A., Hammond, Chris J., Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Hysi, Pirro, Keane, Pearse A., Khaw, Sir Peng T., Khawaja, Anthony P., Lascaratos, Gerassimos, Littlejohns, Thoams, Lotery, Andrew J., Luben, Robert, Luthert, Phil, Macgillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Moore, Tony, Morgan, James E., O’Sullivan, Eoin, Oram, Richard, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S., Rudnikca, Alicja R., Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Viswanathan, Ananth C., Weedon, Mike, Williams, Cathy, Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Wagner, Siegfried K., Patel, Praveen J., Huemer, Josef, Khalid, Hagar, Stuart, Kelsey V., Chu, Colin J., Williamson, Dominic J., Struyven, Robbert R., Romero-Bascones, David, Foster, Paul J., Balaskas, Konstantinos, Cortina-Borja, Mario, Chapple, Iain, Dietrich, Thomas, and Denniston, Alastair K.

Published
2024
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2. Periodontitis and outer retinal thickness: A cross-sectional analysis of the UK Biobank cohort

Author

Wagner, Siegfried K., primary, Patel, Praveen J., additional, Huemer, Josef, additional, Khalid, Hagar, additional, Stuart, Kelsey V., additional, Chu, Colin J., additional, Williamson, Dominic J., additional, Struyven, Robbert R., additional, Romero-Bascones, David, additional, Foster, Paul J., additional, Khawaja, Anthony P., additional, Petzold, Axel, additional, Balaskas, Konstantinos, additional, Cortina-Borja, Mario, additional, Chapple, Iain, additional, Dietrich, Thomas, additional, Rahi, Jugnoo S., additional, Denniston, Alastair K., additional, Keane, Pearse A., additional, Allen, Naomi, additional, Aslam, Tariq, additional, Atan, Denize, additional, Balaskas, Konsantinos, additional, Barman, Sarah A., additional, Barrett, Jenny H., additional, Bishop, Paul, additional, Black, Graeme, additional, Braithwaite, Tasanee, additional, Carare, Roxana O., additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Chua, Sharon Y.L., additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew D., additional, Doney, Alexander, additional, Egan, Cathy, additional, Ennis, Sarah, additional, Foster, Paul, additional, Fruttiger, Marcus, additional, Gallacher, John E.J., additional, Garway-Heath, David F., additional, Gibson, Jane, additional, Guggenheim, Jeremy A., additional, Hammond, Chris J., additional, Hardcastle, Alison, additional, Harding, Simon P., additional, Hogg, Ruth E., additional, Hysi, Pirro, additional, Khaw, Sir Peng T., additional, Lascaratos, Gerassimos, additional, Littlejohns, Thoams, additional, Lotery, Andrew J., additional, Luben, Robert, additional, Luthert, Phil, additional, Macgillivray, Tom, additional, Mackie, Sarah, additional, McGuinness, Bernadette, additional, McKay, Gareth J., additional, McKibbin, Martin, additional, Moore, Tony, additional, Morgan, James E., additional, O’Sullivan, Eoin, additional, Oram, Richard, additional, Owen, Chris G., additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Rudnikca, Alicja R., additional, Sattar, Naveed, additional, Self, Jay, additional, Sergouniotis, Panagiotis, additional, Sivaprasad, Sobha, additional, Steel, David, additional, Stratton, Irene, additional, Strouthidis, Nicholas, additional, Sudlow, Cathie, additional, Sun, Zihan, additional, Tapp, Robyn, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Vitart, Veronique, additional, Viswanathan, Ananth C., additional, Weedon, Mike, additional, Williams, Cathy, additional, Williams, Katie, additional, Woodside, Jayne V., additional, Yates, MaxM., additional, Yip, Jennifer, additional, and Zheng, Yalin, additional

Published
2024
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4. Cross-sectional study of the associations between circulating vitamin D concentrations and insulin resistance in children aged 9-10 years of South Asian, black African Caribbean and white European origins.

Author

Donin, Angela, Nightingale, Claire M., Sattar, Naveed, Fraser, William D., Owen, Chris G., Cook, Derek G., and Whincup, Peter H.

Subjects
GLUCOSE analysis, RISK assessment, CROSS-sectional method, HOMEOSTASIS, RESEARCH funding, DESCRIPTIVE statistics, INSULIN resistance, SOUTH Asians, METABOLITES, TYPE 2 diabetes, BLACK Africans, CARIBBEAN people, CONFIDENCE intervals, VITAMIN D, BIOMARKERS, DISEASE risk factors, CHILDREN, ADULTS
Published
2024
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5. The Association between Serum Lipids and Intraocular Pressure in 2 Large United Kingdom Cohorts

Author

Madjedi, Kian M., primary, Stuart, Kelsey V., additional, Chua, Sharon Y.L., additional, Luben, Robert N., additional, Warwick, Alasdair, additional, Pasquale, Louis R., additional, Kang, Jae H., additional, Wiggs, Janey L., additional, Lentjes, Marleen A.H., additional, Aschard, Hugues, additional, Sattar, Naveed, additional, Foster, Paul J., additional, Khawaja, Anthony P., additional, Chia, Mark, additional, Do, Ron, additional, Kastner, Alan, additional, Kim, Jihye, additional, Montesano, Giovanni, additional, Atan, Denize, additional, Aslam, Tariq, additional, Barman, Sarah A., additional, Barrett, Jenny H., additional, Bishop, Paul, additional, Blows, Peter, additional, Bunce, Catey, additional, Carare, Roxana O., additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Crabb, David P., additional, Cumberland, Philippa M., additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew D., additional, Egan, Cathy, additional, Ennis, Sarah, additional, Foster, Paul, additional, Fruttiger, Marcus, additional, Gallacher, John E.J., additional, Garway-Heath, David F., additional, Gibson, Jane, additional, Gore, Dan, additional, Guggenheim, Jeremy A., additional, Hammond, Chris J., additional, Hardcastle, Alison, additional, Harding, Simon P., additional, Hogg, Ruth E., additional, Hysi, Pirro, additional, Keane, Pearse A., additional, Khaw, Sir Peng T., additional, Lascaratos, Gerassimos, additional, Lotery, Andrew J., additional, Macgillivray, Tom, additional, Mackie, Sarah, additional, Martin, Keith, additional, McGaughey, Michelle, additional, McGuinness, Bernadette, additional, McKay, Gareth J., additional, McKibbin, Martin, additional, Mitry, Danny, additional, Moore, Tony, additional, Morgan, James E., additional, Muthy, Zaynah A., additional, O’Sullivan, Eoin, additional, Owen, Chris G., additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Petzold, Axel, additional, Rahi, Jugnoo S., additional, Rudnikca, Alicja R., additional, Self, Jay, additional, Sivaprasad, Sobha, additional, Steel, David, additional, Stratton, Irene, additional, Strouthidis, Nicholas, additional, Sudlow, Cathie, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Vitart, Veronique, additional, Vernon, Stephen A., additional, Viswanathan, Ananth C., additional, Williams, Cathy, additional, Williams, Katie, additional, Woodside, Jayne V., additional, Yates, MaxM., additional, Yip, Jennifer, additional, and Zheng, Yalin, additional

Published
2022
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6. Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error

Author

Fan, Qiao, Pozarickij, Alfred, Tan, Nicholas Y. Q., Guo, Xiaobo, Verhoeven, Virginie J. M., Vitart, Veronique, Guggenheim, Jeremy A., Miyake, Masahiro, Tideman, J. Willem L., Khawaja, Anthony P., Zhang, Liang, MacGregor, Stuart, Höhn, René, Chen, Peng, Biino, Ginevra, Wedenoja, Juho, Saffari, Seyed Ehsan, Tedja, Milly S., Xie, Jing, Lanca, Carla, Wang, Ya Xing, Sahebjada, Srujana, Mazur, Johanna, Mirshahi, Alireza, Martin, Nicholas G., Yazar, Seyhan, Pennell, Craig E., Yap, Maurice, Haarman, Annechien E. G., Enthoven, Clair A., Polling, JanRoelof, Hewitt, Alex W., Jaddoe, Vincent W. V., Van Duijn, Cornelia M., Hayward, Caroline, Polasek, Ozren, Tai, E-Shyong, Yoshikatsu, Hosoda, Hysi, Pirro G., Young, Terri L., Tsujikawa, Akitaka, Wang, Jie Jing, Mitchell, Paul, Pfeiffer, Norbert, Pärssinen, Olavi, Foster, Paul J., Fossarello, Maurizio, Yip, Shea Ping, Williams, Cathy, Hammond, Christopher J., Jonas, Jost B., He, Mingguang, Mackey, David A., Wong, Tien-Yin, Klaver, Caroline C. W., Saw, Seang-Mei, Baird, Paul N., Cheng, Ching-Yu, Bailey-Wilson, Joan E., Veluchamy, Amutha Barathi, Burdon, Kathryn P., Campbell, Harry, Chen, Li Jia, Chew, Emily Y., Craig, Jamie E., Cumberland, Phillippa M., Deangelis, Margaret M., Delcourt, Cécile, Ding, Xiaohu, Evans, David M., Gharahkhani, Puya, Iglesias, Adriana I., Haller, Toomas, Han, Xikun, Hoang, Quan, Igo, Robert P., Iyengar, Sudha K., Kähönen, Mika, Kaprio, Jaakko, Klein, Barbara E., Klein, Ronald, Lass, Jonathan H., Lee, Kris, Lehtimäki, Terho, Lewis, Deyana D., Li, Qing, Li, Shi-Ming, Lyytikäinen, Leo-Pekka, Meguro, Akira, Metspalu, Andres, Middlebrooks, Candace D., Mizuki, Nobuhisa, Musolf, Anthony M., Nickels, Stefan, Oexle, Konrad, Pang, Chi Pui, Paterson, Andrew D., Rahi, Jugnoo S., Raitakari, Olli, Rudan, Igor, Stambolian, Dwight, Simpson, Claire L., Wang, Ningli, Bin Wei, Wen, Williams, Katie M., Wilson, James F., Wojciechowski, Robert, Yamashiro, Kenji, Yam, Jason C. S., Zhou, Xiangtian, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y. L., Crabb, David P., Cumberland, Philippa M., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E. J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Keane, Pearse A., Khaw, Sir Peng T., Lascaratos, Gerassimos, Lotery, Andrew J., Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O’Sullivan, Eoin, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Verhoeven, Virginie J. M. [0000-0001-7359-7862], Vitart, Veronique [0000-0002-4991-3797], Guggenheim, Jeremy A. [0000-0001-5164-340X], Khawaja, Anthony P. [0000-0001-6802-8585], Zhang, Liang [0000-0001-9264-170X], MacGregor, Stuart [0000-0001-6731-8142], Wedenoja, Juho [0000-0002-6155-0378], Saffari, Seyed Ehsan [0000-0002-6473-4375], Tedja, Milly S. [0000-0003-0356-9684], Lanca, Carla [0000-0001-9918-787X], Wang, Ya Xing [0000-0003-2749-7793], Martin, Nicholas G. [0000-0003-4069-8020], Yap, Maurice [0000-0003-4687-4101], Hewitt, Alex W. [0000-0002-5123-5999], Jaddoe, Vincent W. V. [0000-0003-2939-0041], Hayward, Caroline [0000-0002-9405-9550], Hysi, Pirro G. [0000-0001-5752-2510], Young, Terri L. [0000-0001-6994-9941], Wang, Jie Jing [0000-0001-9491-4898], Pfeiffer, Norbert [0000-0002-5766-2617], Foster, Paul J. [0000-0002-4755-177X], Hammond, Christopher J. [0000-0002-3227-2620], Jonas, Jost B. [0000-0003-2972-5227], Klaver, Caroline C. W. [0000-0002-2355-5258], Baird, Paul N. [0000-0002-1305-3502], and Apollo - University of Cambridge Repository

Subjects
genetic structures, 45, 692/699/3161/3163, 631/208/727/2000, 631/208/205/2138, 45/43, article, sense organs, eye diseases
Abstract

Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia.

Published
2021
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7. Retinal asymmetry in multiple sclerosis

Author

Petzold, Axel, Chua, Sharon Y. L., Khawaja, Anthony P., Keane, Pearse A., Khaw, Peng T., Reisman, Charles, Dhillon, Baljean, Strouthidis, Nicholas G., Foster, Paul J., Patel, Praveen J., Atan, Denize, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Crabb, David P., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E. J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A., Hammond, Chris J., Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Hysi, Pirro, Khaw, Sir Peng T., Lascaratos, Gerassimos, Lotery, Andrew J., MacGillivray, Tom, MacKie, Sarah, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O'Sullivan, Eoin, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Rahi, Jugnoo S., Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Cathy, Williams, Katie, Woodside, Jayne V., Yates, Max M., Zheng, Yalin, Consortium, UK Biobank Eye and Vision, Gallacher, JE, Neurology, Ophthalmology, APH - Mental Health, APH - Methodology, and Amsterdam Neuroscience - Neuroinfection & -inflammation

Subjects
Male, genetic structures, Youden's J statistic, Optic neuritis, Imaging, chemistry.chemical_compound, 0302 clinical medicine, medicine.diagnostic_test, AcademicSubjects/SCI01870, imaging, Middle Aged, Biobank, Female, demyelination, Demyelination, Tomography, Optical Coherence, medicine.medical_specialty, Multiple Sclerosis, Clinical Neurology, Sensitivity and Specificity, Retina, Multiple sclerosis, 03 medical and health sciences, Optical coherence tomography, SDG 3 - Good Health and Well-being, Ophthalmology, medicine, Humans, optic neuritis, Research ethics, Community level, Neuromyelitis optica, Receiver operating characteristic, business.industry, biomarkers, Retinal, Original Articles, medicine.disease, Confidence interval, eye diseases, chemistry, North west, 030221 ophthalmology & optometry, Optometry, AcademicSubjects/MED00310, RE, Neurology (clinical), sense organs, business, 030217 neurology & neurosurgery, Biomarkers, RC
Abstract

In a large community-based study, Petzold et al. show that optical coherence tomography measures of retinal asymmetry have high diagnostic sensitivity for multiple sclerosis, particularly in younger individuals without relevant comorbidities. The technique should be considered in future revisions of diagnostic criteria., The diagnosis of multiple sclerosis is based on a combination of clinical and paraclinical tests. The potential contribution of retinal optical coherence tomography (OCT) has been recognized. We tested the feasibility of OCT measures of retinal asymmetry as a diagnostic test for multiple sclerosis at the community level. In this community-based study of 72 120 subjects, we examined the diagnostic potential of the inter-eye difference of inner retinal OCT data for multiple sclerosis using the UK Biobank data collected at 22 sites between 2007 and 2010. OCT reporting and quality control guidelines were followed. The inter-eye percentage difference (IEPD) and inter-eye absolute difference (IEAD) were calculated for the macular retinal nerve fibre layer (RNFL), ganglion cell inner plexiform layer (GCIPL) complex and ganglion cell complex. Area under the receiver operating characteristic curve (AUROC) comparisons were followed by univariate and multivariable comparisons accounting for a large range of diseases and co-morbidities. Cut-off levels were optimized by ROC and the Youden index. The prevalence of multiple sclerosis was 0.0023 [95% confidence interval (CI) 0.00229–0.00231]. Overall the discriminatory power of diagnosing multiple sclerosis with the IEPD AUROC curve (0.71, 95% CI 0.67–0.76) and IEAD (0.71, 95% CI 0.67–0.75) for the macular GCIPL complex were significantly higher if compared to the macular ganglion cell complex IEPD AUROC curve (0.64, 95% CI 0.59–0.69, P = 0.0017); IEAD AUROC curve (0.63, 95% CI 0.58–0.68, P 0.14) with narrow confidence intervals. In conclusion, the OCT macular GCIPL complex IEPD and IEAD may be considered as supportive measurements for multiple sclerosis diagnostic criteria in a young patient without relevant co-morbidity. The metric does not allow separation of multiple sclerosis from neuromyelitis optica. Retinal OCT imaging is accurate, rapid, non-invasive, widely available and may therefore help to reduce need for invasive and more costly procedures. To be viable, higher sensitivity and specificity levels are needed.

Published
2021
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8. Ambient Air Pollution Associations with Retinal Morphology in the UK Biobank

Author

Chua, Sharon Y.L., Khawaja, Anthony P., Dick, Andrew D., Morgan, James, Dhillon, Baljean, Lotery, Andrew J., Strouthidis, Nicholas G., Reisman, Charles, Peto, Tunde, Khaw, Peng T., Foster, Paul J., Patel, Praveen J., Littlejohns, Thomas, Allen, Naomi, Beli, Eleni, Atan, Denize, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Crabb, David P., Day, Alexander, Desai, Parul, Dhillon, Bal, Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E.J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A., Hammond, Chris J., Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Hysi, Pirro, Keane, Pearse A., Lascaratos, Gerassimos, Macgillivray, Tom, Mackie, Sarah, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O’Sullivan, Eoin, Owen, Chris G., Paterson, Euan, Petzold, Axel, Rahi, Jugnoo S., Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Cathy, Williams, Katie, Woodside, Jayne V., Yates, Max M., and Zheng, Yalin

Subjects
Adult, Male, Retinal Ganglion Cells, medicine.medical_specialty, Retinal layers, air pollution, Air pollution, Nerve fiber layer, Glaucoma, Outer plexiform layer, Retinal Pigment Epithelium, Absorbance, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Nerve Fibers, Retinal Diseases, Ophthalmology, Surveys and Questionnaires, medicine, Humans, Outer nuclear layer, Aged, Biological Specimen Banks, Chemistry, Clinical and Epidemiologic Research, Retinal, retinal layers, Middle Aged, medicine.disease, GF, SDG 11 - Sustainable Cities and Communities, United Kingdom, medicine.anatomical_structure, Cross-Sectional Studies, OCT, Inner nuclear layer, 030221 ophthalmology & optometry, Female, Nitrogen Oxides, Particulate Matter, RE, sense organs, Layer (electronics), 030217 neurology & neurosurgery, Tomography, Optical Coherence, Photoreceptor Cells, Vertebrate
Abstract

PURPOSE. Because air pollution has been linked to glaucoma and AMD, we characterized the relationship between pollution and retinal structure. METHODS. We examined data from 51,710 UK Biobank participants aged 40 to 69 years old. Ambient air pollution measures included particulates and nitrogen oxides. SD-OCT imaging measured seven retinal layers: retinal nerve fiber layer, ganglion cell–inner plexiform layer, inner nuclear layer, outer plexiform layer + outer nuclear layer, photoreceptor inner segments, photoreceptor outer segments, and RPE. Multivariable regression was used to evaluate associations between pollutants (per interquartile range increase) and retinal thickness, adjusting for age, sex, race, Townsend deprivation index, body mass index, smoking status, and refractive error. RESULTS. Participants exposed to greater particulate matter with an aerodynamic diameter of CONCLUSIONS. Greater exposure to PM2.5, PM2.5 absorbance, and nitrogen oxides were all associated with apparently adverse retinal structural features.

Published
2020
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9. Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error

Author

Fan, Qiao, Pozarickij, Alfred, Tan, Nicholas Y. Q., Guo, Xiaobo, Verhoeven, Virginie J. M., Vitart, Veronique, Guggenheim, Jeremy A., Miyake, Masahiro, Tideman, J. Willem L., Khawaja, Anthony P., Zhang, Liang, MacGregor, Stuart, Höhn, René, Chen, Peng, Biino, Ginevra, Wedenoja, Juho, Saffari, Seyed Ehsan, Tedja, Milly S., Xie, Jing, Lanca, Carla, Wang, Ya Xing, Sahebjada, Srujana, Mazur, Johanna, Mirshahi, Alireza, Martin, Nicholas G., Yazar, Seyhan, Pennell, Craig E., Yap, Maurice, Haarman, Annechien E. G., Enthoven, Clair A., Polling, JanRoelof, Bailey-Wilson, Joan E., Veluchamy, Amutha Barathi, Burdon, Kathryn P., Campbell, Harry, Chen, Li Jia, Chew, Emily Y., Craig, Jamie E., Cumberland, Phillippa M., Deangelis, Margaret M., Delcourt, Cécile, Ding, Xiaohu, Evans, David M., Gharahkhani, Puya, Iglesias, Adriana I., Haller, Toomas, Han, Xikun, Hoang, Quan, Igo, Robert P., Iyengar, Sudha K., Kähönen, Mika, Kaprio, Jaakko, Klein, Barbara E., Klein, Ronald, Lass, Jonathan H., Lee, Kris, Lehtimäki, Terho, Lewis, Deyana D., Li, Qing, Li, Shi-Ming, Lyytikäinen, Leo-Pekka, Meguro, Akira, Metspalu, Andres, Middlebrooks, Candace D., Mizuki, Nobuhisa, Musolf, Anthony M., Nickels, Stefan, Oexle, Konrad, Pang, Chi Pui, Paterson, Andrew D., Rahi, Jugnoo S., Raitakari, Olli, Rudan, Igor, Stambolian, Dwight, Simpson, Claire L., Wang, Ningli, Bin Wei, Wen, Williams, Katie M., Wilson, James F., Wojciechowski, Robert, Yamashiro, Kenji, Yam, Jason C. S., Zhou, Xiangtian, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y. L., Crabb, David P., Cumberland, Philippa M., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E. J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Keane, Pearse A., Khaw, Sir Peng T., Lascaratos, Gerassimos, Lotery, Andrew J., Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O’Sullivan, Eoin, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Hewitt, Alex W., Jaddoe, Vincent W. V., van Duijn, Cornelia M., Hayward, Caroline, Polasek, Ozren, Tai, E-Shyong, Yoshikatsu, Hosoda, Hysi, Pirro G., Young, Terri L., Tsujikawa, Akitaka, Wang, Jie Jing, Mitchell, Paul, Pfeiffer, Norbert, Pärssinen, Olavi, Foster, Paul J., Fossarello, Maurizio, Yip, Shea Ping, Williams, Cathy, Hammond, Christopher J., Jonas, Jost B., He, Mingguang, Mackey, David A., Wong, Tien-Yin, Klaver, Caroline C. W., Saw, Seang-Mei, Baird, Paul N., and Cheng, Ching-Yu

Subjects
genetic structures, likinäköisyys, sense organs, geneettiset tekijät, eye diseases
Abstract

Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia. peerReviewed

Published
2020

10. Associations with photoreceptor thickness measures in the UK Biobank

Author

Chua, Sharon YL, Dhillon, Baljean, Aslam, Tariq, Balaskas, Konstantinos, Yang, Qi, Keane, Pearse A, Tufail, Adnan, Reisman, Charles, Foster, Paul J, Patel, Praveen J, Bishop, Paul, Barman, Sarah A, Barrett, Jenny H, Blows, Peter, Bunce, Catey, Carare, Roxana O, Chakravarthy, Usha, Chan, Michelle, Crabb, David P, Cumberland, Philippa M, Day, Alexander, Desai, Parul, Sudlow, Cathie, Dick, Andrew D, Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John EJ, Garway-Heath, David F, Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A, Hammond, Chris J, Hardcastle, Alison, Harding, Simon P, Hogg, Ruth E, Hysi, Pirro, Khaw, Sir Peng T, Khawaja, Anthony P, Lascaratos, Gerassimos, Lotery, Andrew J, Macgillivray, Tom, Mackie, Sarah, Martin, Keith, Mcgaughey, Michelle, Mcguinness, Bernadette, Mckay, Gareth J, Mckibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E, Muthy, Zaynah A, O'Sullivan, Eoin, Owen, Chris G, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S, Rudnicka, Alicja R, Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Thaung, Caroline, Thomas, Dhanes, Trucco, Emanuele, Vitart, Veronique, Vernon, Stephen A, Viswanathan, Ananth C, Williams, Cathy, Williams, Katie, Woodside, Jayne V, Yates, Max M, Yip, Jennifer, Zheng, Yalin, Tapp, Robyn, Consortium, UK Biobank Eye Vision, Dhillon, Baljean [0000-0001-5993-0278], Foster, Paul J [0000-0002-4755-177X], Patel, Praveen J [0000-0001-8682-4067], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Male, Refractive error, Intraocular pressure, Visual acuity, genetic structures, Epidemiology, Visual Acuity, lcsh:Medicine, Retinal Pigment Epithelium, Cornea, chemistry.chemical_compound, 0302 clinical medicine, lcsh:Science, Biological Specimen Banks, Multidisciplinary, medicine.diagnostic_test, Age Factors, Middle Aged, medicine.anatomical_structure, Eye examination, Female, medicine.symptom, Tomography, Optical Coherence, Photoreceptor Cells, Vertebrate, Adult, medicine.medical_specialty, Article, 03 medical and health sciences, Sex Factors, Ophthalmology, medicine, Humans, General, Intraocular Pressure, Aged, Retinal pigment epithelium, business.industry, lcsh:R, Retinal, medicine.disease, United Kingdom, eye diseases, 030104 developmental biology, Blood pressure, chemistry, Risk factors, 030221 ophthalmology & optometry, RE, lcsh:Q, sense organs, business
Abstract

Funder: DH | NIHR | Health Services Research Programme (NIHR Health Services Research Programme); doi: https://doi.org/10.13039/501100001923, Spectral-domain OCT (SD-OCT) provides high resolution images enabling identification of individual retinal layers. We included 32,923 participants aged 40-69 years old from UK Biobank. Questionnaires, physical examination, and eye examination including SD-OCT imaging were performed. SD OCT measured photoreceptor layer thickness includes photoreceptor layer thickness: inner nuclear layer-retinal pigment epithelium (INL-RPE) and the specific sublayers of the photoreceptor: inner nuclear layer-external limiting membrane (INL-ELM); external limiting membrane-inner segment outer segment (ELM-ISOS); and inner segment outer segment-retinal pigment epithelium (ISOS-RPE). In multivariate regression models, the total average INL-RPE was observed to be thinner in older aged, females, Black ethnicity, smokers, participants with higher systolic blood pressure, more negative refractive error, lower IOPcc and lower corneal hysteresis. The overall INL-ELM, ELM-ISOS and ISOS-RPE thickness was significantly associated with sex and race. Total average of INL-ELM thickness was additionally associated with age and refractive error, while ELM-ISOS was additionally associated with age, smoking status, SBP and refractive error; and ISOS-RPE was additionally associated with smoking status, IOPcc and corneal hysteresis. Hence, we found novel associations of ethnicity, smoking, systolic blood pressure, refraction, IOPcc and corneal hysteresis with photoreceptor thickness.

Published
2019
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11. Evaluating an Intervention to Increase Cereal Fiber Intake in Children: A Randomized Controlled Feasibility Trial

Author

Donin, Angela S, primary, Nightingale, Claire M, additional, Perkin, Michael R, additional, Ussher, Michael, additional, Jebb, Susan A, additional, Landberg, Rikard, additional, Welsh, Paul, additional, Sattar, Naveed, additional, Adab, Peymane, additional, Owen, Chris G, additional, Rudnicka, Alicja R, additional, Cook, Derek G, additional, and Whincup, Peter H, additional

Published
2021
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13. Comparison of Associations with Different Macular Inner Retinal Thickness Parameters in a Large Cohort

Author

Khawaja, Anthony P., primary, Chua, Sharon, additional, Hysi, Pirro G., additional, Georgoulas, Stelios, additional, Currant, Hannah, additional, Fitzgerald, Tomas W., additional, Birney, Ewan, additional, Ko, Fang, additional, Yang, Qi, additional, Reisman, Charles, additional, Garway-Heath, David F., additional, Hammond, Chris J., additional, Khaw, Peng T., additional, Foster, Paul J., additional, Patel, Praveen J., additional, Strouthidis, Nicholas, additional, Atan, Denize, additional, Aslam, Tariq, additional, Barman, Sarah A., additional, Barrett, Jenny H., additional, Bishop, Paul, additional, Blows, Peter, additional, Bunce, Catey, additional, Carare, Roxana O., additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Chua, Sharon Y.L., additional, Crabb, David P., additional, Cumberland, Philippa M., additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew D., additional, Egan, Cathy, additional, Ennis, Sarah, additional, Foster, Paul, additional, Fruttiger, Marcus, additional, Gallacher, John E.J., additional, Gibson, Jane, additional, Gore, Dan, additional, Guggenheim, Jeremy A., additional, Hardcastle, Alison, additional, Harding, Simon P., additional, Hogg, Ruth E., additional, Hysi, Pirro, additional, Keane, Pearse A., additional, Khaw, Sir Peng T., additional, Khawaja, Anthony P., additional, Lascaratos, Gerassimos, additional, Lotery, Andrew J., additional, Macgillivray, Tom, additional, Mackie, Sarah, additional, Martin, Keith, additional, McGaughey, Michelle, additional, McGuinness, Bernadette, additional, McKay, Gareth J., additional, McKibbin, Martin, additional, Mitry, Danny, additional, Moore, Tony, additional, Morgan, James E., additional, Muthy, Zaynah A., additional, O’Sullivan, Eoin, additional, Owen, Chris G., additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Petzold, Axel, additional, Rahi, Jugnoo S., additional, Rudnikca, Alicja R., additional, Self, Jay, additional, Sivaprasad, Sobha, additional, Steel, David, additional, Stratton, Irene, additional, Sudlow, Cathie, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Vitart, Veronique, additional, Vernon, Stephen A., additional, Viswanathan, Ananth C., additional, Williams, Cathy, additional, Williams, Katie, additional, Woodside, Jayne V., additional, Yates, Max M., additional, Yip, Jennifer, additional, and Zheng, Yalin, additional

Published
2020
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14. Multi-trait genome-wide association study identifies new loci associated with optic disc parameters

Author

Bonnemaijer, Pieter WM, van Leeuwen, Elisabeth M, Iglesias, Adriana I, Gharahkhani, Puya, Vitart, Veronique, Khawaja, Anthony P, Simcoe, Mark, Hoehn, Rene, Cree, Angela J, Igo, Rob P, Burdon, Kathryn P, Craig, Jamie E, Hewitt, Alex W, Jonas, Jost, Khor, Chiea-Cheun, Pasutto, Francesca, Mackey, David A, Mitchell, Paul, Mishra, Aniket, Pang, Calvin, Pasquale, Louis R, Springelkamp, Henriette, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Viswanathan, Ananth C, Wojciechowski, Robert, Wong, Tien, Young, Terrri L, Zeller, Tanja, Atan, Denize, Aslam, Tariq, Barman, Sarah A, Barrett, Jenny H, Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O, Chakravarthy, Usha, Chan, Michelle, Chua, Sharon YL, Crabb, David P, Cumberland, Philippa M, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John EJ, Garway, David F, Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A, Hardcastle, Alison, Harding, Simon P, Hogg, Ruth E, Keane, Pearse A, Khaw, Peng T, Lascaratos, Gerassimos, Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, Mckay, Gareth J, McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E, Muthy, Zaynah A, O'Sullivan, Eoin, Owen, Chris G, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S, Rudnikca, Alicja R, Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vernon, Stephen A, Williams, Cathy, Williams, Katie, Woodside, Jayne V, Yates, Max M, Yip, Jennifer, Zheng, Yalin, Allingham, Rand, Budenz, Don, Bailey, Jessica Cooke, Fingert, John, Gaasterland, Douglas, Gaasterland, Teresa, Haines, Jonathan L, Hark, Lisa, Hauser, Michael, Kang, Jae Hee, Kraft, Peter, Lee, Richard, Lichter, Paul, Liu, Yutao, Moroi, Syoko, Pericak, Margaret, Realini, Anthony, Rhee, Doug, Richards, Julia R, Ritch, Robert, Scott, William K, Singh, Kuldev, Sit, Arthur, Vollrath, Douglas, Weinreb, Robert, Wollstein, Gadi, Wilmer, Don Zack, Gerhold-Ay, Aslihan, Nickels, Stefan, Wilson, James F, Hayward, Caroline, Boutin, Thibaud S, Polasek, Ozren, Aung, Tin, Khor, Chiea Chuen, Amin, Najaf, Lotery, Andrew J, Wiggs, Janey L, Cheng, Ching-Yu, Hysi, Pirro G, Hammond, Christopher J, Thiadens, Alberta AHJ, MacGregor, Stuart, Klaver, Caroline CW, van Duijn, Cornelia M, Consortium, Int Glaucoma Genetics, Consortium, Uk Biobank Eye Vision, Consortium, NEIGHBORHOOD, Epidemiology, Ophthalmology, Clinical Genetics, Bonnemaijer, Pieter WM [0000-0001-5154-6765], Iglesias, Adriana I [0000-0001-5532-764X], Gharahkhani, Puya [0000-0002-4203-5952], Vitart, Veronique [0000-0002-4991-3797], Khawaja, Anthony P [0000-0001-6802-8585], Simcoe, Mark [0000-0003-2432-0810], Nickels, Stefan [0000-0003-0415-2354], Wilson, James F [0000-0001-5751-9178], Hayward, Caroline [0000-0002-9405-9550], Boutin, Thibaud S [0000-0003-4754-1675], Khor, Chiea Chuen [0000-0002-1128-4729], Lotery, Andrew J [0000-0001-5541-4305], Wiggs, Janey L [0000-0003-1890-3278], Cheng, Ching-Yu [0000-0003-0655-885X], Hysi, Pirro G [0000-0001-5752-2510], Hammond, Christopher J [0000-0002-3227-2620], MacGregor, Stuart [0000-0001-6731-8142], Klaver, Caroline CW [0000-0002-2355-5258], and Apollo - University of Cambridge Repository

Subjects
genetic structures, Optic disk, Medicine (miscellaneous), Genome-wide association study, Neurodegenerative, Genome-wide association studies, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], 0302 clinical medicine, Optic Nerve Diseases, 2.1 Biological and endogenous factors, Aetiology, 610 Medicine & health, lcsh:QH301-705.5, 0303 health sciences, Agricultural and Biological Sciences(all), Single Nucleotide, medicine.anatomical_structure, NEIGHBORHOOD consortium, General Agricultural and Biological Sciences, Optic disc, Signal Transduction, Optic Disk, Quantitative Trait Loci, International Glaucoma Genetics Consortium, Quantitative trait locus, Biology, Genetic correlation, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, UK Biobank Eye and Vision Consortium, 03 medical and health sciences, Quantitative Trait, Quantitative Trait, Heritable, medicine, Genetics, Humans, Genetic Predisposition to Disease, 1000 Genomes Project, Polymorphism, Heritable, Eye Disease and Disorders of Vision, Genetic Association Studies, 030304 developmental biology, Genetic association, CENTRAL CORNEAL THICKNESS, METAANALYSIS, GLAUCOMA, EXPRESSION, HERITABILITY, PREVALENCE, STATISTICS, PANEL, Biochemistry, Genetics and Molecular Biology(all), Gene Expression Profiling, Haplotype, Human Genome, Computational Biology, Glaucoma, Molecular Sequence Annotation, eye diseases, lcsh:Biology (General), Evolutionary biology, Case-Control Studies, RE, sense organs, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

A new avenue of mining published genome-wide association studies includes the joint analysis of related traits. The power of this approach depends on the genetic correlation of traits, which reflects the number of pleiotropic loci, i.e. genetic loci influencing multiple traits. Here, we applied new meta-analyses of optic nerve head (ONH) related traits implicated in primary open-angle glaucoma (POAG); intraocular pressure and central corneal thickness using Haplotype reference consortium imputations. We performed a multi-trait analysis of ONH parameters cup area, disc area and vertical cup-disc ratio. We uncover new variants; rs11158547 in PPP1R36-PLEKHG3 and rs1028727 near SERPINE3 at genome-wide significance that replicate in independent Asian cohorts imputed to 1000 Genomes. At this point, validation of these variants in POAG cohorts is hampered by the high degree of heterogeneity. Our results show that multi-trait analysis is a valid approach to identify novel pleiotropic variants for ONH., The International Glaucoma Genetics Consortium reports a genome-wide association study meta-analysis of optic disc parameters relevant to primary open-angle glaucoma. They identify two novel variants in PPP1R36-PLEKHG3 and SERPINE3 by multi-trait analysis in European-ancestry cohorts that were replicated in independent Asian cohorts.

Published
2019
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15. Association Between Polygenic Risk Score and Risk of Myopia

Author

Mojarrad, Neema Ghorbani, Plotnikov, Denis, Williams, Cathy, Guggenheim, Jeremy A, Aslam, Tariq, Barman, Sarah A, Barrett, Jenny H, Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O, Chakravarthy, Usha, Chan, Michelle, Chua, Sharon YL, Crabb, David P, Cumberland, Philippa M, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John EJ, Garway-Heath, David F, Gibson, Jane, Gore, Dan, Hammond, Chris J, Hardcastle, Alison, Harding, Simon P, Hogg, Ruth E, Hysi, Pirro, Keane, Pearse A, Khaw, Sir Peng T, Khawaja, Anthony P, Lascaratos, Gerassimos, Lotery, Andrew J, Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, Mckay, Gareth J, McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E, Muthy, Zaynah A, O'Sullivan, Eoin, Owen, Chris G, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S, Rudnikca, Alicja R, Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Vernon, Stephen A, Viswanathan, Ananth C, Williams, Katie, Woodside, Jayne V, Yates, Max M, Yip, Jennifer, Zheng, Yalin, Consortium, Uk Biobank Eye Vision, and Gallacher, JEJ

Subjects
Adult, Male, Longitudinal study, Pediatrics, medicine.medical_specialty, genetic structures, Population, 01 natural sciences, Risk Assessment, law.invention, 03 medical and health sciences, 0302 clinical medicine, Polygenic risk score, Randomized controlled trial, law, medicine, Genetic predisposition, Myopia, Humans, Genetic Predisposition to Disease, Genetic Testing, 0101 mathematics, education, Child, Aged, education.field_of_study, business.industry, 010102 general mathematics, Infant, Newborn, Infant, ALSPAC, Middle Aged, Personalized medicine, Educational attainment, United Kingdom, Genetic prediction, Ophthalmology, ROC Curve, Area Under Curve, Child, Preschool, Cohort, 030221 ophthalmology & optometry, Female, Age of onset, business, Cohort study, Genome-Wide Association Study
Abstract

Importance Myopia is a leading cause of untreatable visual impairment and is increasing in prevalence worldwide. Interventions for slowing childhood myopia progression have shown success in randomized clinical trials; hence, there is a need to identify which children would benefit most from treatment intervention. Objectives To examine whether genetic information alone can identify children at risk of myopia development and whether including a child’s genetic predisposition to educational attainment is associated with improved genetic prediction of the risk of myopia. Design, Setting, and Participants Meta-analysis of 3 genome-wide association studies (GWAS) including a total of 711 984 individuals. These were a published GWAS for educational attainment and 2 GWAS for refractive error in the UK Biobank, which is a multisite cohort study that recruited participants between January 2006 and October 2010. A polygenic risk score was applied in a population-based validation sample examined between September 1998 and September 2000 (Avon Longitudinal Study of Parents and Children [ALSPAC] mothers). Data analysis was performed from February 2018 to May 2019. Main Outcomes and Measures The primary outcome was the area under the receiver operating characteristic curve (AUROC) in analyses for predicting myopia, using noncycloplegic autorefraction measurements for myopia severity levels of less than or equal to −0.75 diopter (D) (any), less than or equal to −3.00 D (moderate), or less than or equal to −5.00 D (high). The predictor variable was a polygenic risk score (PRS) derived from genome-wide association study data for refractive error (n = 95 619), age of onset of spectacle wear (n = 287 448), and educational attainment (n = 328 917). Results A total of 383 067 adults aged 40 to 69 years from the UK Biobank were included in the new GWAS analyses. The PRS was evaluated in 1516 adults aged 24 to 51 years from the ALSPAC mothers cohort. The PRS had an AUROC of 0.67 (95% CI, 0.65-0.70) for myopia, 0.75 (95% CI, 0.70-0.79) for moderate myopia, and 0.73 (95% CI, 0.66-0.80) for high myopia. Inclusion in the PRS of information associated with genetic predisposition to educational attainment marginally improved the AUROC for myopia (AUROC, 0.674 vs 0.668; P = .02), but not those for moderate and high myopia. Individuals with a PRS in the top 10% were at 6.1-fold higher risk (95% CI, 3.4–10.9) of high myopia. Conclusions and Relevance A personalized medicine approach may be feasible for detecting very young children at risk of myopia. However, accuracy must improve further to merit uptake in clinical practice; currently, cycloplegic autorefraction remains a better indicator of myopia risk (AUROC, 0.87).

Published
2019
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16. The Relationship Between Ambient Atmospheric Fine Particulate Matter (PM2.5) and Glaucoma in a Large Community Cohort

Author

Chua, Sharon YL, Khawaja, Anthony P, Morgan, James, Strouthidis, Nicholas, Reisman, Charles, Dick, Andrew D, Khaw, Peng T, Patel, Praveen J, Foster, Paul J, Atan, Denize, Aslam, Tariq, Barman, Sarah A, Barrett, Jenny H, Bishop, Paul, Bunce, Catey, Carare, Roxana O, Chakravarthy, Usha, Chan, Michelle, Crabb, David P, Day, Alexander, Desai, Parul, Dhillon, Bal, Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John EJ, Garway-Heath, David F, Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A, Hammond, Chris J, Hardcastle, Alison, Harding, Simon P, Hogg, Ruth E, Hysi, Pirro, Keane, Pearse A, Lascaratos, Gerassimos, Lotery, Andrew J, Macgillivray, Tom, Mackie, Sarah, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J, McKibbin, Martin, Moore, Tony, Muthy, Zaynah A, O'Sullivan, Eoin, Owen, Chris G, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S, Rudnikca, Alicja R, Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Vernon, Stephen A, Viswanathan, Ananth C, Williams, Cathy, Williams, Katie, Woodside, Jayne V, Yates, Max M, Zheng, Yalin, and Consortium, UK Biobank Eye Vision

Subjects
Adult, Male, Retinal Ganglion Cells, Intraocular pressure, medicine.medical_specialty, optical coherence, genetic structures, Population, Glaucoma, tomography, Tonometry, Ocular, Nerve Fibers, Interquartile range, Air Pollution, Surveys and Questionnaires, Ophthalmology, Humans, Medicine, education, Intraocular Pressure, Aged, Air Pollutants, education.field_of_study, business.industry, Odds ratio, Diabetic retinopathy, Middle Aged, medicine.disease, Confidence interval, eye diseases, glaucoma, fine particulate matter, Cohort, GCIPL, Female, Particulate Matter, Self Report, sense organs, Visual Fields, business, Tomography, Optical Coherence, intraocular pressure
Abstract

PURPOSE: Glaucoma is more common in urban populations than in others. Ninety percent of the world's population are exposed to air pollution above World Health Organization (WHO) recommended limits. Few studies have examined the association between air pollution and glaucoma. METHODS: Questionnaire data, ophthalmic measures, and ambient residential area air quality data for 111,370 UK Biobank participants were analyzed. Particulate matter with an aerodynamic diameter < 2.5 μm (PM2.5) was selected as the air quality exposure of interest. Eye measures included self-reported glaucoma, intraocular pressure (IOP), and average thickness of macular ganglion cell-inner plexiform layer (GCIPL) across nine Early Treatment Diabetic Retinopathy Study (ETDRS) retinal subfields as obtained from spectral-domain optical coherence tomography. We examined the associations of PM2.5 concentration with self-reported glaucoma, IOP, and GCIPL. RESULTS: Participants resident in areas with higher PM2.5 concentration were more likely to report a diagnosis of glaucoma (odds ratio = 1.06, 95% confidence interval [CI] = 1.01-1.12, per interquartile range [IQR] increase P = 0.02). Higher PM2.5 concentration was also associated with thinner GCIPL (β = -0.56 μm, 95% CI = -0.63 to -0.49, per IQR increase, P = 1.2 × 10-53). A dose-response relationship was observed between higher levels of PM2.5 and thinner GCIPL (P < 0.001). There was no clinically relevant relationship between PM2.5 concentration and IOP. CONCLUSIONS: Greater exposure to PM2.5 is associated with both self-reported glaucoma and adverse structural characteristics of the disease. The absence of an association between PM2.5 and IOP suggests the relationship may occur through a non-pressure-dependent mechanism, possibly neurotoxic and/or vascular effects.

Published
2019
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17. Associations with Corneal Hysteresis in a Population Cohort Results from 96 010 UK Biobank Participants

Author

Zhang, Bing, Shweikh, Yusrah, Khawaja, Anthony P, Gallacher, John, Bauermeister, Sarah, Foster, Paul J, Aslam, Tariq, Barman, Sarah A, Barrett, Jenny H, Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O, Chakravarthy, Usha, Chan, Michelle, Chua, Sharon YL, Crabb, David P, Cumberland, Philippa M, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John EJ, Garway-Heath, David F, Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A, Hammond, Chris J, Hardcastle, Alison, Harding, Simon P, Hogg, Ruth E, Hysi, Pirro, Keane, Pearse A, Khaw, Sir Peng T, dos Lascaratos, Gerassim, Lotery, Andrew J, Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J, McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E, Muthy, Zaynah A, O'Sullivan, Eoin, Owen, Chris G, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S, Rudnikca, Alicja R, Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Vernon, Stephen A, Viswanathan, Ananth C, Williams, Cathy, Williams, Katie, Woodside, Jayne V, Yates, Max M, Yip, Jennifer, Zheng, Yalin, and Consortium, UKBiobank Eye Vision

Published
2019

18. Associations with Corneal Hysteresis in a Population Cohort

Author

Zhang, Bing, primary, Shweikh, Yusrah, additional, Khawaja, Anthony P., additional, Gallacher, John, additional, Bauermeister, Sarah, additional, Foster, Paul J., additional, Aslam, Tariq, additional, Barman, Sarah A., additional, Barrett, Jenny H., additional, Bishop, Paul, additional, Blows, Peter, additional, Bunce, Catey, additional, Carare, Roxana O., additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Chua, Sharon Y.L., additional, Crabb, David P., additional, Cumberland, Philippa M., additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew D., additional, Egan, Cathy, additional, Ennis, Sarah, additional, Foster, Paul, additional, Fruttiger, Marcus, additional, Gallacher, John E.J., additional, Garway-Heath, David F., additional, Gibson, Jane, additional, Gore, Dan, additional, Guggenheim, Jeremy A., additional, Hammond, Chris J., additional, Hardcastle, Alison, additional, Harding, Simon P., additional, Hogg, Ruth E., additional, Hysi, Pirro, additional, Keane, Pearse A., additional, Khaw, Sir Peng T., additional, Lascaratos, Gerassim dos, additional, Lotery, Andrew J., additional, Macgillivray, Tom, additional, Mackie, Sarah, additional, Martin, Keith, additional, McGaughey, Michelle, additional, McGuinness, Bernadette, additional, McKay, Gareth J., additional, McKibbin, Martin, additional, Mitry, Danny, additional, Moore, Tony, additional, Morgan, James E., additional, Muthy, Zaynah A., additional, O’Sullivan, Eoin, additional, Owen, Chris G., additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Petzold, Axel, additional, Rahi, Jugnoo S., additional, Rudnikca, Alicja R., additional, Self, Jay, additional, Sivaprasad, Sobha, additional, Steel, FRCOphth, David, additional, Stratton, Irene, additional, Strouthidis, Nicholas, additional, Sudlow, Cathie, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Vitart, Veronique, additional, Vernon, Stephen A., additional, Viswanathan, Ananth C., additional, Williams, Cathy, additional, Williams, Katie, additional, Woodside, Jayne V., additional, Yates, Max M., additional, Yip, Jennifer, additional, and Zheng, Yalin, additional

Published
2019
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19. Family and home correlates of children's physical activity in a multi-ethnic population: the cross-sectional child heart and health study in england (CHASE)

Author

Cook Derek G, Griffin Simon J, Nightingale Claire M, van Sluijs Esther MF, McMinn Alison M, Owen Chris G, Rudnicka Alicja R, and Whincup Peter H

Subjects
Nutritional diseases. Deficiency diseases, RC620-627, Public aspects of medicine, RA1-1270
Abstract

Abstract Background The influence of the family and home environment on childhood physical activity (PA) and whether this differs between ethnic groups remains uncertain. This paper investigates associations between family and home factors and childhood PA in a multi-ethnic population and explores whether associations differ between ethnic groups. Methods Cross-sectional study of 9-10 year-old schoolchildren, in which PA was objectively measured by Actigraph GT1 M accelerometers for ≤7 days to estimate average activity counts per minute (CPM). Information on 11 family and home environmental factors were collected from questionnaires. Associations between these factors and CPM were quantified using multi-level linear regression. Interactions with ethnicity were explored using likelihood ratio tests. Results 2071 children (mean ± SD age: 9.95 ± 0.38 years; 47.8% male) participated, including 25% white European, 28% black African-Caribbean, 24% South Asian, and 24% other ethnic origin. Family PA support and having a pet were associated with higher average CPM (adjusted mean difference: 6 (95%CI:1,10) and 13 (95%CI:3,23), respectively) while car ownership and having internet access at home were associated with lower average CPM (adjusted mean difference: -19 (95%CI:-30,-8) and -10 (95%CI:-19,0), respectively). These associations did not differ by ethnicity. Although the number of siblings showed no overall association with PA, there was some evidence of interaction with ethnicity (p for ethnicity interaction = 0.04, 0.05 in a fully-adjusted model); a positive significant association with number of siblings was observed in white Europeans (per sibling CPM difference 10.3 (95% CI 1.7, 18.9)) and a positive non-significant association was observed in black African-Caribbeans (per sibling CPM difference: 3.5 (-4.2, 11.2)) while a negative, non-significant association was observed in South Asians (per sibling CPM difference -6.0 (-15.5, 3.4)). Conclusions Some family and home environmental factors have modest associations with childhood PA and these are mostly similar across different ethnic groups. This suggests that targeting these factors in an intervention to promote PA would be relevant for children in different ethnic groups.

Published
2011
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20. Regular breakfast consumption and type 2 diabetes risk markers in 9- to 10-year-old children in the child heart and health study in England (CHASE): a cross-sectional analysis

Author

Donin, Angela S., Nightingale, Claire M., Owen, Chris G., Rudnicka, Alicja R., Perkin, Michael R., Jebb, Susan A., Stephen, Alison M., Sattar, Naveed, Cook, Derek G., and Whincup, Peter H.

Subjects
Breakfasts -- Health aspects, Insulin resistance -- Health aspects, Elementary school students -- Health aspects -- Food and nutrition, Children -- Health aspects, Cardiovascular diseases -- Risk factors -- Physiological aspects, Glucose metabolism -- Health aspects, Type 2 diabetes -- Risk factors -- Health aspects, Biological sciences
Abstract

Background: Regular breakfast consumption may protect against type 2 diabetes risk in adults but little is known about its influence on type 2 diabetes risk markers in children. We investigated the associations between breakfast consumption (frequency and content) and risk markers for type 2 diabetes (particularly insulin resistance and glycaemia) and cardiovascular disease in children. Methods and Findings: We conducted a cross-sectional study of 4,116 UK primary school children aged 9-10 years. Participants provided information on breakfast frequency, had measurements of body composition, and gave fasting blood samples for measurements of blood lipids, insulin, glucose, and glycated haemoglobin (HbAlc). A subgroup of 2,004 children also completed a 24-hour dietary recall. Among 4,116 children studied, 3,056 (74%) ate breakfast daily, 450 (11%) most days, 372 (9%) some days, and 238 (6%) not usually. Graded associations between breakfast frequency and risk markers were observed; children who reported not usually having breakfast had higher fasting insulin (percent difference 26.4%, 95% CI 16.6%-37.0%), insulin resistance (percent difference 26.7%, 95% CI 17.0%-37.2%), HbA1c (percent difference 1.2%, 95% CI 0.4%-2.0%), glucose (percent difference 1.0%, 95% CI 0.0%-2.0%), and urate (percent difference 6%, 95% CI 3%-10%) than those who reported having breakfast daily; these differences were little affected by adjustment for adiposity, socioeconomic status, and physical activity levels. When the higher levels of triglyceride, systolic blood pressure, and Creactive protein for those who usually did not eat breakfast relative to those who ate breakfast daily were adjusted for adiposity, the differences were no longer significant. Children eating a high fibre cereal breakfast had lower insulin resistance than those eating other breakfast types (p for heterogeneity < 0.01). Differences in nutrient intakes between breakfast frequency groups did not account for the differences in type 2 diabetes markers. Conclusions: Children who ate breakfast daily, particularly a high fibre cereal breakfast, had a more favourable type 2 diabetes risk profile. Trials are needed to quantify the protective effect of breakfast on emerging type 2 diabetes risk. Please see later in the article for the Editors' Summary., Introduction The high prevalence of type 2 diabetes both globally and in the UK, which affects increasingly younger individuals [1], presents a major public health challenge [2]. Diet and eating [...]

Published
2014
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22. Takeaway meal consumption and risk markers for coronary heart disease, type 2 diabetes and obesity in children aged 9-10 years: a cross-sectional study

Author

Donin, Angela S, Nightingale, Claire M, Owen, Chris G, Rudnicka, Alicja R, Cook, Derek G, and Whincup, Peter H

Subjects
Blood Glucose, Male, Pediatric Obesity, Nutritional Status, Coronary Disease, Diet Surveys, Risk Factors, Humans, coronary heart disease, Child, Physical Examination, cholesterol, Feeding Behavior, takeaway meals, Lipids, nutrition, Cross-Sectional Studies, Diabetes Mellitus, Type 2, England, Social Class, Fast Foods, Original Article, Female, diet, Energy Intake
Abstract

OBJECTIVE: To investigate associations between takeaway meal consumption and risk markers for coronary heart disease, type 2 diabetes and obesity risk markers in children. DESIGN: A cross-sectional, school-based observational study. SETTING: 85 primary schools across London, Birmingham and Leicester. PARTICIPANTS: 1948 UK primary school children in year 5, aged 9-10 years. MAIN OUTCOME MEASURES: Children reported their frequency of takeaway meal consumption, completed a 24-hour dietary recall, had physical measurements and provided a fasting blood sample. RESULTS: Among 1948 participants with complete data, 499 (26%) never/hardly ever consumed a takeaway meal, 894 (46%) did so

Published
2017

24. Takeaway meal consumption and risk markers for coronary heart disease, type 2 diabetes and obesity in children aged 9-10 years: a cross-sectional study.

Author

Donin, Angela S., Nightingale, Claire M., Owen, Chris G., Rudnicka, Alicja R., Cook, Derek G., and Whincup, Peter H.

Subjects
CONVENIENCE foods, CHILD nutrition, CORONARY heart disease in children, TYPE 2 diabetes risk factors, DIABETES in children, RISK of childhood obesity, DISEASE risk factors
Abstract

Objective: To investigate associations between takeaway meal consumption and risk markers for coronary heart disease, type 2 diabetes and obesity risk markers in children.Design: A cross-sectional, school-based observational study.Setting: 85 primary schools across London, Birmingham and Leicester.Participants: 1948 UK primary school children in year 5, aged 9-10 years.Main Outcome Measures: Children reported their frequency of takeaway meal consumption, completed a 24-hour dietary recall, had physical measurements and provided a fasting blood sample.Results: Among 1948 participants with complete data, 499 (26%) never/hardly ever consumed a takeaway meal, 894 (46%) did so <1/week and 555 (28%) did ≥1/week. In models adjusted for age, sex, month, school, ethnicity and socioeconomic status, more frequent takeaway meal consumption was associated with higher dietary intakes of energy, fat % energy and saturated fat % energy and higher energy density (all P trend <0.001) and lower starch, protein and micronutrient intakes (all P trend <0.05). A higher frequency of takeaway meal consumption was associated with higher serum total cholesterol and low-density lipoprotein (LDL) cholesterol (P trend=0.04, 0.01, respectively); children eating a takeaway meal ≥1/week had total cholesterol and LDL cholesterol 0.09 mmol/L (95% CI 0.01 to 0.18) and 0.10 mmol/L (95% CI 0.02 to 0.18) higher respectively than children never/hardly ever eating a takeaway meal; their fat mass index was also higher.Conclusions: More frequent takeaway meal consumption in children was associated with unhealthy dietary nutrient intake patterns and potentially with adverse longer term consequences for obesity and coronary heart disease risk. [ABSTRACT FROM AUTHOR]

Published
2018
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25. Profile of anisometropia and aniso-astigmatism in children; prevalence and association with age, ocular biometric measures, and refractive status

Author

O'Donoghue, Lisa, McClelland, Julie F., Logan, Nicola S., Rudnicka, Alicja R., Owen, Chris G., Saunders, Kathryn J., O'Donoghue, Lisa, McClelland, Julie F., Logan, Nicola S., Rudnicka, Alicja R., Owen, Chris G., and Saunders, Kathryn J.

Abstract

Purpose. We describe the profile and associations of anisometropia and aniso-astigmatism in a population-based sample of children. Methods. The Northern Ireland Childhood Errors of Refraction (NICER) study used a stratified random cluster design to recruit a representative sample of children from schools in Northern Ireland. Examinations included cycloplegic (1% cyclopentolate) autorefraction, and measures of axial length, anterior chamber depth, and corneal curvature. ?2 tests were used to assess variations in the prevalence of anisometropia and aniso-astigmatism by age group, with logistic regression used to compare odds of anisometropia and aniso-astigmatism with refractive status (myopia, emmetropia, hyperopia). The Mann-Whitney U test was used to examine interocular differences in ocular biometry. Results. Data from 661 white children aged 12 to 13 years (50.5% male) and 389 white children aged 6 to 7 years (49.6% male) are presented. The prevalence of anisometropia =1 diopters sphere (DS) did not differ statistically significantly between 6- to 7-year-old (8.5%; 95% confidence interval [CI], 3.9–13.1) and 12- to 13-year-old (9.4%; 95% CI, 5.9–12.9) children. The prevalence of aniso-astigmatism =1 diopters cylinder (DC) did not vary statistically significantly between 6- to 7-year-old (7.7%; 95% CI, 4.3–11.2) and 12- to 13-year-old (5.6%; 95% CI, 0.5–8.1) children. Anisometropia and aniso-astigmatism were more common in 12- to 13-year-old children with hyperopia =+2 DS. Anisometropic eyes had greater axial length asymmetry than nonanisometropic eyes. Aniso-astigmatic eyes were more asymmetric in axial length and corneal astigmatism than eyes without aniso-astigmatism. Conclusions. In this population, there is a high prevalence of axial anisometropia and corneal/axial aniso-astigmatism, associated with hyperopia, but whether these relations are causal is unclear. Further work is required to clarify the developmental mechanism behind these associations.

Published
2013

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