158 results on '"Choquet, H."'
Search Results
2. Genetics of cerebral cavernous malformations: current status and future prospects.
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Choquet, H, Pawlikowska, L, Lawton, MT, and Kim, H
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Humans ,Hemangioma ,Cavernous ,Central Nervous System ,Central Nervous System Neoplasms ,Genetic Predisposition to Disease ,Genotype ,Mutation ,Rare Diseases ,Neurosciences ,Genetics ,Brain Disorders ,Genetic Testing ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Cerebrovascular disorders ,Hemangioma ,cavernous ,central nervous system ,Genes ,Phenotype ,Neurology & Neurosurgery - Abstract
Cerebral cavernous malformations (CCM) are vascular lesions which affect up to 0.5% of the general population, predisposing to headaches, seizures, cerebral hemorrhages and focal neurological deficits. CCM occurs in both sporadic and familial forms; familial cases follow an autosomal-dominant mode of inheritance and are caused by mutations in CCM1 (KRIT1), CCM2 (MGC4607), or CCM3 (PDCD10). Somatic mutations within the three CCM genes have been identified in CCM lesions from both sporadic and familial patients. We reviewed articles published in PubMed in English prior to March 2015 and provide an update on CCM mutations and the screening strategies used to identify them. Further, we summarize the specific clinical features related to CCM genotypes. As 5% to 15% of familial CCM cases remain genetically unexplained, we also discuss future approaches to expand understanding of the genetic architecture of CCM. Finally, we discuss possible genetic modifiers of CCM disease severity and progression. Understanding the genetic architecture of CCM is essential for an earlier diagnosis of the disease, predictive testing of at-risk patients, and design of targeted medical therapies of which there are currently none available.
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- 2015
3. 265 Association between cigarette smoking and keratinocyte carcinoma: A 2-sample mendelian randomization study
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George, C.D., primary, Jiang, C., additional, Lee, T., additional, Asgari, M., additional, Semenov, Y., additional, Nijsten, T., additional, Pardo, L.M., additional, and Choquet, H., additional
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- 2023
- Full Text
- View/download PDF
4. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration.
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Clark, R., Lee, S.S., Du, R., Wang, Yining, Kneepkens, S.C.M., Charng, J., Huang, Y., Hunter, M.L., Jiang, C., Tideman, J.Willem L., Melles, R.B., Klaver, C.C.W., Mackey, D.A., Williams, C., Choquet, H., Ohno-Matsui, K., Guggenheim, J.A., Clark, R., Lee, S.S., Du, R., Wang, Yining, Kneepkens, S.C.M., Charng, J., Huang, Y., Hunter, M.L., Jiang, C., Tideman, J.Willem L., Melles, R.B., Klaver, C.C.W., Mackey, D.A., Williams, C., Choquet, H., Ohno-Matsui, K., and Guggenheim, J.A.
- Abstract
Item does not contain fulltext, BACKGROUND: High myopia (HM), defined as a spherical equivalent refractive error (SER) ≤ -6.00 diopters (D), is a leading cause of sight impairment, through myopic macular degeneration (MMD). We aimed to derive an improved polygenic score (PGS) for predicting children at risk of HM and to test if a PGS is predictive of MMD after accounting for SER. METHODS: The PGS was derived from genome-wide association studies in participants of UK Biobank, CREAM Consortium, and Genetic Epidemiology Research on Adult Health and Aging. MMD severity was quantified by a deep learning algorithm. Prediction of HM was quantified as the area under the receiver operating curve (AUROC). Prediction of severe MMD was assessed by logistic regression. FINDINGS: In independent samples of European, African, South Asian and East Asian ancestry, the PGS explained 19% (95% confidence interval 17-21%), 2% (1-3%), 8% (7-10%) and 6% (3-9%) of the variation in SER, respectively. The AUROC for HM in these samples was 0.78 (0.75-0.81), 0.58 (0.53-0.64), 0.71 (0.69-0.74) and 0.67 (0.62-0.72), respectively. The PGS was not associated with the risk of MMD after accounting for SER: OR = 1.07 (0.92-1.24). INTERPRETATION: Performance of the PGS approached the level required for clinical utility in Europeans but not in other ancestries. A PGS for refractive error was not predictive of MMD risk once SER was accounted for. FUNDING: Supported by the Welsh Government and Fight for Sight (24WG201).
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- 2023
5. Genetic contributors to variation in alcohol consumption vary by race/ethnicity in a large multi-ethnic genome-wide association study
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Jorgenson, E, Thai, K K, Hoffmann, T J, Sakoda, L C, Kvale, M N, Banda, Y, Schaefer, C, Risch, N, Mertens, J, Weisner, C, and Choquet, H
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- 2017
- Full Text
- View/download PDF
6. 255 Vitamin C and cutaneous squamous cell carcinoma risk: Results from the genetic epidemiology research on adult health and aging cohort study 2007–2015 and mendelian randomization analyses
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Kim, Y., primary, Yin, J., additional, Breton, S.L., additional, Jorgenson, E., additional, Huang, H., additional, Choquet, H., additional, and Asgari, M.M., additional
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- 2022
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- View/download PDF
7. Model-based assessment of replicability for genome-wide association meta-analysis
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McGuire, Daniel, Jiang, Yu, Liu, Mengzhen, Weissenkampen, J. Dylan, Eckert, Scott, Yang, Lina, Chen, Fang, Liu, MengZhen, Wedow, Robbee, Li, Yue, Brazel, David M., Datta, Gargi, Davila-Velderrain, Jose, Tian, Chao, Zhan, Xiaowei, Choquet, H. éléne, Docherty, Anna R., Faul, Jessica D., Foerster, Johanna R., Fritsche, Lars, Gabrielsen, Maiken Elvestad, Gordon, Scott D., Haessler, Jeffrey, Hottenga, Jouke-Jan, Huang, Hongyan, Jang, Seon-Kyeong, Jansen, Philip R., Ling, Yueh, Ma ̈gi, Reedik, Matoba, Nana, McMahon, George, Mulas, Antonella, Orru, Valeria, Palviainen, Teemu, Pandit, Anita, Reginsson, Gunnar W., Skogholt, Anne Heidi, Smith, Jennifer A., Taylor, Amy E., Turman, Constance, Willemsen, Gonneke, Young, Hannah, Young, Kendra A., Zajac, Gregory J. M., Zhao, Wei, Zhou, Wei, Bjornsdottir, Gyda, Boardman, Jason D., Boehnke, Michael, Boomsma, Dorret I., Chen, Chu, Cucca, Francesco, Davies, Gareth E., Eaton, Charles B., Ehringer, Marissa A., Esko, Tõnu, Fiorillo, Edoardo, Gillespie, Nathan A., Gudbjartsson, Daniel F., Haller, Toomas, Harris, Kathleen Mullan, Heath, Andrew C., Hewitt, John K., Hickie, Ian B., Hokanson, John E., Hopfer, Christian J., Hunter, David J., Iacono, William G., Johnson, Eric O., Kamatani, Yoichiro, Kardia, Sharon L. R., Keller, Matthew C., Kellis, Manolis, Kooperberg, Charles, Kraft, Peter, Krauter, Kenneth S., Laakso, Markku, Lind, Penelope A., Loukola, Anu, Lutz, Sharon M., Madden, Pamela A. F., Martin, Nicholas G., McGue, Matt, McQueen, Matthew B., Medland, Sarah E., Metspalu, Andres, Mohlke, Karen L., Nielsen, Jonas B., Okada, Yukinori, Peters, Ulrike, Polderman, Tinca J. C., Posthuma, Danielle, Reiner, Alexander P., Rice, JP, Rimm, Eric, Rose, Richard J., Runarsdottir, Valgerdur, Stallings, Michael C., Stanˇca ́kova, Alena, Stefansson, Hreinn, Thai, Khanh K., Tindle, Hilary A., Tyrfingsson, Thorarinn, Wall, Tamara L., Weir, David R., Weisner, Constance M, Whitfield, John B., Winsvold, Bendik K S, Yin, Jie, Zuccolo, Luisa, Bierut, Laura J., Hveem, Kristian, Lee, James J., Munafo, Marcus R., Saccone, Nancy L., Willer, Cristen J, Cornelis, Marilyn C., David, Sean P., Hinds, David, Jorgenson, Eric, Kaprio, Jaakko, Stitzel, Jerry A., Stefansson, Kari, Thorgeirsson, Thorgeir E., Abecasis, Goncalo, Liu, Dajiang J., Vrieze, Scott, Berg, Arthur, Jiang, Bibo, Li, Qunhua, Technology Centre, Institute for Molecular Medicine Finland, Genetic Epidemiology, HUSLAB, Centre of Excellence in Complex Disease Genetics, Jaakko Kaprio / Principal Investigator, Department of Public Health, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, APH - Aging & Later Life, APH - Mental Health, Child and Adolescent Psychiatry / Psychology, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, APH - Methodology, and Clinical Developmental Psychology
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0301 basic medicine ,Genotype ,Computer science ,Science ,General Physics and Astronomy ,Genome-wide association study ,Genomics ,Computational biology ,Genome-wide association studies ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Consistency (database systems) ,0302 clinical medicine ,Meta-Analysis as Topic ,Replication (statistics) ,Genetic Association Studies ,Multidisciplinary ,biology ,Models, Genetic ,Statistics ,Mamba ,Computational Biology ,Reproducibility of Results ,General Chemistry ,Replicate ,biology.organism_classification ,030104 developmental biology ,Phenotype ,Sample size determination ,Sample Size ,1182 Biochemistry, cell and molecular biology ,3111 Biomedicine ,030217 neurology & neurosurgery ,Imputation (genetics) ,Software ,Algorithms ,Genome-Wide Association Study - Abstract
Genome-wide association meta-analysis (GWAMA) is an effective approach to enlarge sample sizes and empower the discovery of novel associations between genotype and phenotype. Independent replication has been used as a gold-standard for validating genetic associations. However, as current GWAMA often seeks to aggregate all available datasets, it becomes impossible to find a large enough independent dataset to replicate new discoveries. Here we introduce a method, MAMBA (Meta-Analysis Model-based Assessment of replicability), for assessing the “posterior-probability-of-replicability” for identified associations by leveraging the strength and consistency of association signals between contributing studies. We demonstrate using simulations that MAMBA is more powerful and robust than existing methods, and produces more accurate genetic effects estimates. We apply MAMBA to a large-scale meta-analysis of addiction phenotypes with 1.2 million individuals. In addition to accurately identifying replicable common variant associations, MAMBA also pinpoints novel replicable rare variant associations from imputation-based GWAMA and hence greatly expands the set of analyzable variants., In genome-wide association meta-analysis, it is often difficult to find an independent dataset of sufficient size to replicate associations. Here, the authors have developed MAMBA to calculate the probability of replicability based on consistency between datasets within the meta-analysis.
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- 2021
- Full Text
- View/download PDF
8. A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus
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Hardcastle, A.J., Liskova, P., Bykhovskaya, Y., McComish, B.J., Davidson, A.E., Inglehearn, C.F., Li, X, Choquet, H., Habeeb, M., Lucas, S.E.M., Sahebjada, S., Pontikos, N., Lopez, K.E.R., Khawaja, A.P., Ali, M, Dudakova, L., Skalicka, P., Dooren, B.T.H. van, Geerards, A.J., Haudum, C.W., Faro, V.L., Tenen, A., Simcoe, M.J., Patasova, K., Yarrand, D., Yin, J., Siddiqui, S., Rice, A., Farraj, L.A., Chen, Yi, Rahi, J.S., Krauss, R.M., Theusch, E., Charlesworth, J.C., Szczotka-Flynn, L., Toomes, C., Meester-Smoor, M.A., Richardson, A.J., Mitchell, P.A., Taylor, K.D., Melles, R.B., Aldave, A.J., Mills, R.A., Cao, K., Chan, E., Daniell, M.D., Wang, J.J., Rotter, J.I., Hewitt, A.W., MacGregor, S., Klaver, C.C.W., Ramdas, W.D., Craig, J.E., Iyengar, S.K., O'Brart, D., Jorgenson, E., Baird, P.N., Rabinowitz, Y.S., Burdon, K.P., Hammond, C.J., Tuft, S.J., Hysi, P.G., Hardcastle, A.J., Liskova, P., Bykhovskaya, Y., McComish, B.J., Davidson, A.E., Inglehearn, C.F., Li, X, Choquet, H., Habeeb, M., Lucas, S.E.M., Sahebjada, S., Pontikos, N., Lopez, K.E.R., Khawaja, A.P., Ali, M, Dudakova, L., Skalicka, P., Dooren, B.T.H. van, Geerards, A.J., Haudum, C.W., Faro, V.L., Tenen, A., Simcoe, M.J., Patasova, K., Yarrand, D., Yin, J., Siddiqui, S., Rice, A., Farraj, L.A., Chen, Yi, Rahi, J.S., Krauss, R.M., Theusch, E., Charlesworth, J.C., Szczotka-Flynn, L., Toomes, C., Meester-Smoor, M.A., Richardson, A.J., Mitchell, P.A., Taylor, K.D., Melles, R.B., Aldave, A.J., Mills, R.A., Cao, K., Chan, E., Daniell, M.D., Wang, J.J., Rotter, J.I., Hewitt, A.W., MacGregor, S., Klaver, C.C.W., Ramdas, W.D., Craig, J.E., Iyengar, S.K., O'Brart, D., Jorgenson, E., Baird, P.N., Rabinowitz, Y.S., Burdon, K.P., Hammond, C.J., Tuft, S.J., and Hysi, P.G.
- Abstract
Contains fulltext : 243900.pdf (Publisher’s version ) (Open Access), Keratoconus is characterised by reduced rigidity of the cornea with distortion and focal thinning that causes blurred vision, however, the pathogenetic mechanisms are unknown. It can lead to severe visual morbidity in children and young adults and is a common indication for corneal transplantation worldwide. Here we report the first large scale genome-wide association study of keratoconus including 4,669 cases and 116,547 controls. We have identified significant association with 36 genomic loci that, for the first time, implicate both dysregulation of corneal collagen matrix integrity and cell differentiation pathways as primary disease-causing mechanisms. The results also suggest pleiotropy, with some disease mechanisms shared with other corneal diseases, such as Fuchs endothelial corneal dystrophy. The common variants associated with keratoconus explain 12.5% of the genetic variance, which shows potential for the future development of a diagnostic test to detect susceptibility to disease.
- Published
- 2021
9. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries
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Gharahkhani, P., Jorgenson, E., Hysi, P., Khawaja, A.P., Pendergrass, S., Han, X., Ong, J.S., Hewitt, A.W., Segrè, A.V., Rouhana, J.M., Hamel, A.R., Igo, R.P., Jr., Choquet, H., Qassim, A., Josyula, N.S., Bailey, J.N., Bonnemaijer, P.W.M., Iglesias, A., Siggs, O.M., Young, T.L., Vitart, V., Thiadens, A., Karjalainen, J., Uebe, S., Melles, R.B., Nair, K.S., Luben, R., Simcoe, M., Amersinghe, N., Cree, A.J., Hohn, R., Poplawski, A., Chen, L.J., Rong, S.S., Aung, T., Vithana, E.N., Tamiya, G., Shiga, Y., Yamamoto, M., Nakazawa, T., Currant, H., Birney, E., Wang, X, Auton, A., Lupton, M.K., Martin, N.G., Ashaye, A., Olawoye, O., Williams, S.E., Akafo, S., Ramsay, M., Hashimoto, K., Kamatani, Y., Akiyama, M., Momozawa, Y., Foster, P.J., Khaw, P.T., Morgan, J.E., Strouthidis, N.G., Kraft, P., Kang, J.H., Pang, C.P., Pasutto, F., Mitchell, P., Lotery, A.J., Palotie, A., Duijn, C. van, Haines, J.L., Hammond, C., Pasquale, L.R., Klaver, C.C.W., Hauser, M., Khor, C.C., Mackey, D.A., Kubo, M., Cheng, C.Y., Craig, J.E., MacGregor, S., Wiggs, J.L., Gharahkhani, P., Jorgenson, E., Hysi, P., Khawaja, A.P., Pendergrass, S., Han, X., Ong, J.S., Hewitt, A.W., Segrè, A.V., Rouhana, J.M., Hamel, A.R., Igo, R.P., Jr., Choquet, H., Qassim, A., Josyula, N.S., Bailey, J.N., Bonnemaijer, P.W.M., Iglesias, A., Siggs, O.M., Young, T.L., Vitart, V., Thiadens, A., Karjalainen, J., Uebe, S., Melles, R.B., Nair, K.S., Luben, R., Simcoe, M., Amersinghe, N., Cree, A.J., Hohn, R., Poplawski, A., Chen, L.J., Rong, S.S., Aung, T., Vithana, E.N., Tamiya, G., Shiga, Y., Yamamoto, M., Nakazawa, T., Currant, H., Birney, E., Wang, X, Auton, A., Lupton, M.K., Martin, N.G., Ashaye, A., Olawoye, O., Williams, S.E., Akafo, S., Ramsay, M., Hashimoto, K., Kamatani, Y., Akiyama, M., Momozawa, Y., Foster, P.J., Khaw, P.T., Morgan, J.E., Strouthidis, N.G., Kraft, P., Kang, J.H., Pang, C.P., Pasutto, F., Mitchell, P., Lotery, A.J., Palotie, A., Duijn, C. van, Haines, J.L., Hammond, C., Pasquale, L.R., Klaver, C.C.W., Hauser, M., Khor, C.C., Mackey, D.A., Kubo, M., Cheng, C.Y., Craig, J.E., MacGregor, S., and Wiggs, J.L.
- Abstract
Contains fulltext : 235429.pdf (Publisher’s version ) (Open Access), Primary open-angle glaucoma (POAG), is a heritable common cause of blindness world-wide. To identify risk loci, we conduct a large multi-ethnic meta-analysis of genome-wide association studies on a total of 34,179 cases and 349,321 controls, identifying 44 previously unreported risk loci and confirming 83 loci that were previously known. The majority of loci have broadly consistent effects across European, Asian and African ancestries. Cross-ancestry data improve fine-mapping of causal variants for several loci. Integration of multiple lines of genetic evidence support the functional relevance of the identified POAG risk loci and highlight potential contributions of several genes to POAG pathogenesis, including SVEP1, RERE, VCAM1, ZNF638, CLIC5, SLC2A12, YAP1, MXRA5, and SMAD6. Several drug compounds targeting POAG risk genes may be potential glaucoma therapeutic candidates.
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- 2021
10. Genetic variation affects morphological retinal phenotypes extracted from UK Biobank optical coherence tomography images
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Currant, H., Hysi, P., Fitzgerald, T.W., Gharahkhani, P., Bonnemaijer, P.W.M., Senabouth, A., Hewitt, A.W., Atan, D., Aung, T., Charng, J., Choquet, H., Craig, J., Khaw, P.T., Klaver, C.C.W., Kubo, M., Ong, J.S., Pasquale, L.R., Reisman, C.A., Daniszewski, M., Powell, J.E., Pébay, A., Simcoe, M.J., Thiadens, A., Duijn, C.M. van, Yazar, S., Jorgenson, E., MacGregor, S., Hammond, C.J., Mackey, D.A., Wiggs, J.L., Foster, P.J., Patel, P.J., Birney, E., Khawaja, A.P., Currant, H., Hysi, P., Fitzgerald, T.W., Gharahkhani, P., Bonnemaijer, P.W.M., Senabouth, A., Hewitt, A.W., Atan, D., Aung, T., Charng, J., Choquet, H., Craig, J., Khaw, P.T., Klaver, C.C.W., Kubo, M., Ong, J.S., Pasquale, L.R., Reisman, C.A., Daniszewski, M., Powell, J.E., Pébay, A., Simcoe, M.J., Thiadens, A., Duijn, C.M. van, Yazar, S., Jorgenson, E., MacGregor, S., Hammond, C.J., Mackey, D.A., Wiggs, J.L., Foster, P.J., Patel, P.J., Birney, E., and Khawaja, A.P.
- Abstract
Contains fulltext : 235428.pdf (Publisher’s version ) (Open Access), Optical Coherence Tomography (OCT) enables non-invasive imaging of the retina and is used to diagnose and manage ophthalmic diseases including glaucoma. We present the first large-scale genome-wide association study of inner retinal morphology using phenotypes derived from OCT images of 31,434 UK Biobank participants. We identify 46 loci associated with thickness of the retinal nerve fibre layer or ganglion cell inner plexiform layer. Only one of these loci has been associated with glaucoma, and despite its clear role as a biomarker for the disease, Mendelian randomisation does not support inner retinal thickness being on the same genetic causal pathway as glaucoma. We extracted overall retinal thickness at the fovea, representative of foveal hypoplasia, with which three of the 46 SNPs were associated. We additionally associate these three loci with visual acuity. In contrast to the Mendelian causes of severe foveal hypoplasia, our results suggest a spectrum of foveal hypoplasia, in part genetically determined, with consequences on visual function.
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- 2021
11. Genetic variation affects morphological retinal phenotypes extracted from UK Biobank optical coherence tomography images
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Hauser, MA, Currant, H, Hysi, P, Fitzgerald, TW, Gharahkhani, P, Bonnemaijer, PWM, Senabouth, A, Hewitt, AW, Atan, D, Aung, T, Charng, J, Choquet, H, Craig, J, Khaw, PT, Klaver, CCW, Kubo, M, Ong, J-S, Pasquale, LR, Reisman, CA, Daniszewski, M, Powell, JE, Pebay, A, Simcoe, MJ, Thiadens, AAHJ, van Duijn, CM, Yazar, S, Jorgenson, E, MacGregor, S, Hammond, CJ, Mackey, DA, Wiggs, JL, Foster, PJ, Patel, PJ, Birney, E, Khawaja, AP, Hauser, MA, Currant, H, Hysi, P, Fitzgerald, TW, Gharahkhani, P, Bonnemaijer, PWM, Senabouth, A, Hewitt, AW, Atan, D, Aung, T, Charng, J, Choquet, H, Craig, J, Khaw, PT, Klaver, CCW, Kubo, M, Ong, J-S, Pasquale, LR, Reisman, CA, Daniszewski, M, Powell, JE, Pebay, A, Simcoe, MJ, Thiadens, AAHJ, van Duijn, CM, Yazar, S, Jorgenson, E, MacGregor, S, Hammond, CJ, Mackey, DA, Wiggs, JL, Foster, PJ, Patel, PJ, Birney, E, and Khawaja, AP
- Abstract
Optical Coherence Tomography (OCT) enables non-invasive imaging of the retina and is used to diagnose and manage ophthalmic diseases including glaucoma. We present the first large-scale genome-wide association study of inner retinal morphology using phenotypes derived from OCT images of 31,434 UK Biobank participants. We identify 46 loci associated with thickness of the retinal nerve fibre layer or ganglion cell inner plexiform layer. Only one of these loci has been associated with glaucoma, and despite its clear role as a biomarker for the disease, Mendelian randomisation does not support inner retinal thickness being on the same genetic causal pathway as glaucoma. We extracted overall retinal thickness at the fovea, representative of foveal hypoplasia, with which three of the 46 SNPs were associated. We additionally associate these three loci with visual acuity. In contrast to the Mendelian causes of severe foveal hypoplasia, our results suggest a spectrum of foveal hypoplasia, in part genetically determined, with consequences on visual function.
- Published
- 2021
12. A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus
- Author
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Hardcastle, AJ, Liskova, P, Bykhovskaya, Y, McComish, BJ, Davidson, AE, Inglehearn, CF, Li, X, Choquet, H, Habeeb, M, Lucas, SEM, Sahebjada, S, Pontikos, N, Lopez, KER, Khawaja, AP, Ali, M, Dudakova, L, Skalicka, P, Van Dooren, BTH, Geerards, AJM, Haudum, CW, Lo Faro, V, Tenen, A, Simcoe, MJ, Patasova, K, Yarrand, D, Yin, J, Siddiqui, S, Rice, A, Farraj, LA, Chen, Y-DI, Rahi, JS, Krauss, RM, Theusch, E, Charlesworth, JC, Szczotka-Flynn, L, Toomes, C, Meester-Smoor, MA, Richardson, AJ, Mitchell, PA, Taylor, KD, Melles, RB, Aldave, AJ, Mills, RA, Cao, K, Chan, E, Daniell, MD, Wang, JJ, Rotter, JI, Hewitt, AW, MacGregor, S, Klaver, CCW, Ramdas, WD, Craig, JE, Iyengar, SK, O'Brart, D, Jorgenson, E, Baird, PN, Rabinowitz, YS, Burdon, KP, Hammond, CJ, Tuft, SJ, Hysi, PG, Hardcastle, AJ, Liskova, P, Bykhovskaya, Y, McComish, BJ, Davidson, AE, Inglehearn, CF, Li, X, Choquet, H, Habeeb, M, Lucas, SEM, Sahebjada, S, Pontikos, N, Lopez, KER, Khawaja, AP, Ali, M, Dudakova, L, Skalicka, P, Van Dooren, BTH, Geerards, AJM, Haudum, CW, Lo Faro, V, Tenen, A, Simcoe, MJ, Patasova, K, Yarrand, D, Yin, J, Siddiqui, S, Rice, A, Farraj, LA, Chen, Y-DI, Rahi, JS, Krauss, RM, Theusch, E, Charlesworth, JC, Szczotka-Flynn, L, Toomes, C, Meester-Smoor, MA, Richardson, AJ, Mitchell, PA, Taylor, KD, Melles, RB, Aldave, AJ, Mills, RA, Cao, K, Chan, E, Daniell, MD, Wang, JJ, Rotter, JI, Hewitt, AW, MacGregor, S, Klaver, CCW, Ramdas, WD, Craig, JE, Iyengar, SK, O'Brart, D, Jorgenson, E, Baird, PN, Rabinowitz, YS, Burdon, KP, Hammond, CJ, Tuft, SJ, and Hysi, PG
- Abstract
Keratoconus is characterised by reduced rigidity of the cornea with distortion and focal thinning that causes blurred vision, however, the pathogenetic mechanisms are unknown. It can lead to severe visual morbidity in children and young adults and is a common indication for corneal transplantation worldwide. Here we report the first large scale genome-wide association study of keratoconus including 4,669 cases and 116,547 controls. We have identified significant association with 36 genomic loci that, for the first time, implicate both dysregulation of corneal collagen matrix integrity and cell differentiation pathways as primary disease-causing mechanisms. The results also suggest pleiotropy, with some disease mechanisms shared with other corneal diseases, such as Fuchs endothelial corneal dystrophy. The common variants associated with keratoconus explain 12.5% of the genetic variance, which shows potential for the future development of a diagnostic test to detect susceptibility to disease.
- Published
- 2021
13. Genetic variation affects morphological retinal phenotypes extracted from UK Biobank optical coherence tomography images (vol 17, e1009497, 2021)
- Author
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Currant, H, Hysi, P, Fitzgerald, TW, Gharahkhani, P, Bonnemaijer, PWM, Senabouth, A, Hewitt, AW, Atan, D, Aung, T, Charng, J, Choquet, H, Craig, J, Khaw, PT, Klaver, CCW, Kubo, M, Ong, J-S, Pasquale, LR, Reisman, CA, Daniszewski, M, Powell, JE, Pebay, A, Simcoe, MJ, Thiadens, AAHJ, van Duijn, CM, Yazar, S, Jorgenson, E, MacGregor, S, Hammond, CJ, Mackey, DA, Wiggs, JL, Foster, PJ, Patel, PJ, Birney, E, Khawaja, AP, Currant, H, Hysi, P, Fitzgerald, TW, Gharahkhani, P, Bonnemaijer, PWM, Senabouth, A, Hewitt, AW, Atan, D, Aung, T, Charng, J, Choquet, H, Craig, J, Khaw, PT, Klaver, CCW, Kubo, M, Ong, J-S, Pasquale, LR, Reisman, CA, Daniszewski, M, Powell, JE, Pebay, A, Simcoe, MJ, Thiadens, AAHJ, van Duijn, CM, Yazar, S, Jorgenson, E, MacGregor, S, Hammond, CJ, Mackey, DA, Wiggs, JL, Foster, PJ, Patel, PJ, Birney, E, and Khawaja, AP
- Abstract
[This corrects the article DOI: 10.1371/journal.pgen.1009497.].
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- 2021
14. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries
- Author
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Gharahkhani, P, Jorgenson, E, Hysi, P, Khawaja, AP, Pendergrass, S, Han, X, Ong, JS, Hewitt, AW, Segre, A, Rouhana, JM, Hamel, AR, Igo, RP, Choquet, H, Qassim, A, Josyula, NS, Bailey, JNC, Bonnemaijer, PWM, Iglesias, A, Siggs, OM, Young, TL, Vitart, V, Thiadens, AAHJ, Karjalainen, J, Uebe, S, Melles, RB, Nair, KS, Luben, R, Simcoe, M, Amersinghe, N, Cree, AJ, Hohn, R, Poplawski, A, Chen, LJ, Rong, S-S, Aung, T, Vithana, EN, Tamiya, G, Shiga, Y, Yamamoto, M, Nakazawa, T, Currant, H, Birney, E, Wang, X, Auton, A, Lupton, MK, Martin, NG, Ashaye, A, Olawoye, O, Williams, SE, Akafo, S, Ramsay, M, Hashimoto, K, Kamatani, Y, Akiyama, M, Momozawa, Y, Foster, PJ, Khaw, PT, Morgan, JE, Strouthidis, NG, Kraft, P, Kang, JH, Pang, CP, Pasutto, F, Mitchell, P, Lotery, AJ, Palotie, A, van Duijn, C, Haines, JL, Hammond, C, Pasquale, LR, Klaver, CCW, Hauser, M, Khor, CC, Mackey, DA, Kubo, M, Cheng, C-Y, Craig, JE, MacGregor, S, Wiggs, JL, Gharahkhani, P, Jorgenson, E, Hysi, P, Khawaja, AP, Pendergrass, S, Han, X, Ong, JS, Hewitt, AW, Segre, A, Rouhana, JM, Hamel, AR, Igo, RP, Choquet, H, Qassim, A, Josyula, NS, Bailey, JNC, Bonnemaijer, PWM, Iglesias, A, Siggs, OM, Young, TL, Vitart, V, Thiadens, AAHJ, Karjalainen, J, Uebe, S, Melles, RB, Nair, KS, Luben, R, Simcoe, M, Amersinghe, N, Cree, AJ, Hohn, R, Poplawski, A, Chen, LJ, Rong, S-S, Aung, T, Vithana, EN, Tamiya, G, Shiga, Y, Yamamoto, M, Nakazawa, T, Currant, H, Birney, E, Wang, X, Auton, A, Lupton, MK, Martin, NG, Ashaye, A, Olawoye, O, Williams, SE, Akafo, S, Ramsay, M, Hashimoto, K, Kamatani, Y, Akiyama, M, Momozawa, Y, Foster, PJ, Khaw, PT, Morgan, JE, Strouthidis, NG, Kraft, P, Kang, JH, Pang, CP, Pasutto, F, Mitchell, P, Lotery, AJ, Palotie, A, van Duijn, C, Haines, JL, Hammond, C, Pasquale, LR, Klaver, CCW, Hauser, M, Khor, CC, Mackey, DA, Kubo, M, Cheng, C-Y, Craig, JE, MacGregor, S, and Wiggs, JL
- Abstract
Primary open-angle glaucoma (POAG), is a heritable common cause of blindness world-wide. To identify risk loci, we conduct a large multi-ethnic meta-analysis of genome-wide association studies on a total of 34,179 cases and 349,321 controls, identifying 44 previously unreported risk loci and confirming 83 loci that were previously known. The majority of loci have broadly consistent effects across European, Asian and African ancestries. Cross-ancestry data improve fine-mapping of causal variants for several loci. Integration of multiple lines of genetic evidence support the functional relevance of the identified POAG risk loci and highlight potential contributions of several genes to POAG pathogenesis, including SVEP1, RERE, VCAM1, ZNF638, CLIC5, SLC2A12, YAP1, MXRA5, and SMAD6. Several drug compounds targeting POAG risk genes may be potential glaucoma therapeutic candidates.
- Published
- 2021
15. 086 Identification of novel basal cell carcinoma susceptibility loci in a multiethnic cohort
- Author
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Choquet, H., primary, Yin, J., additional, Kim, Y., additional, Jorgenson, E., additional, and Asgari, M., additional
- Published
- 2021
- Full Text
- View/download PDF
16. The Polygenic and Monogenic Basis of Blood Traits and Diseases
- Author
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Vuckovic, D. (Dragana), Bao, E.L. (Erik L.), Akbari, P. (Parsa), Lareau, C.A. (Caleb A.), Mousas, A. (Abdou), Jiang, T. (Tao), Chen, M.-H. (Ming-Huei), Raffield, L.M. (Laura M.), Tardaguila, M. (Manuel), Huffman, J.E. (Jennifer E.), Ritchie, S.C. (Scott C.), Megy, K. (Karyn), Ponstingl, H. (Hannes), Penkett, C.J. (Christopher J.), Albers, P.K. (Patrick K.), Wigdor, E.M. (Emilie M.), Sakaue, S. (Saori), Moscati, A. (Arden), Manansala, R. (Regina), Lo, K.S., Qian, H. (Huijun), Akiyama, M. (Masato), Bartz, T.M. (Traci M.), Ben-Shlomo, Y. (Yoav), Beswick, A. (Andrew), Bork-Jensen, J. (Jette), Bottinger, E.P. (Erwin), Brody, J.A. (Jennifer A.), Rooij, F.J.A. (Frank) van, Chitrala, K.N. (Kumaraswamy N.), Wilson, P.W.F. (Peter W.F.), Choquet, H. (Hélène), Danesh, J. (John), Angelantonio, E. (Emanuele) di, Dimou, N. (Niki), Ding, J. (Jingzhong), Elliott, P. (Paul), Esko, T. (Tõnu), Evans, M.K. (Michele), Felix, S.B. (Stephan Burkhard), Floyd, J.S. (James S.), Broer, L. (Linda), Grarup, N. (Niels), Guo, M.H. (Michael H.), Guo, Q. (Qi), Greinacher, A. (Andreas), Haessler, J. (Jeff), Hansen, T. (Torben), Howson, J.M.M. (Joanna M.M.), Huang, W. (Wei), Jorgenson, E. (Eric), Kacprowski, T. (Tim), Kähönen, M. (Mika), Kamatani, Y. (Yoichiro), Kanai, M. (Masahiro), Karthikeyan, S. (Savita), Koskeridis, F. (Fotios), Lange, L.A. (Leslie A.), Lehtimäki, T. (Terho), Linneberg, A. (Allan), Liu, Y. (YongMei), Lyytikäinen, L.-P. (Leo-Pekka), Manichaikul, A. (Ani), Matsuda, K. (Koichi), Mohlke, K.L. (Karen L.), Mononen, N. (Nina), Murakami, Y. (Yoshinori), Nadkarni, G. (Girish), Nikus, K. (Kjell), Pankratz, V.S. (Shane), Pedersen, O. (Oluf), Preuss, M. (Michael), Psaty, B.M. (Bruce), Raitakari, O. (Olli), Rich, S.S. (Stephen), Rodriguez, B.A.T. (Benjamin A.T.), Rosen, J.D. (Jonathan D.), Rotter, J.I. (Jerome I.), Schubert, P. (Petra), Spracklen, C.N. (Cassandra N.), Surendran, P. (Praveen), Tang, H. (Hua), Tardif, J.-C. (Jean-Claude), Ghanbari, M. (Mohsen), Völker, U. (Uwe), Völzke, H. (Henry), Watkins, N.A. (Nicholas A.), Weiss, S. (Stefan), Cai, N. (Na), Kundu, K. (Kousik), Watt, S.B. (Stephen B.), Walter, K. (Klaudia), Zonderman, A.B. (Alan B.), Cho, K. (Kelly), Li, Y. (Yun), Loos, R.J.F. (Ruth), Knight, J.C. (Julian), Georges, M. (Michel), Stegle, O. (Oliver), Evangelou, E. (Evangelos), Okada, Y. (Yukinori), Roberts, D.J. (David J.), Inouye, M. (Michael), Johnson, A.D. (Andrew), Auer, P.L. (Paul L.), Astle, W.J. (William J.), Reiner, A.P. (Alexander P.), Butterworth, A.S. (Adam S.), Ouwehand, W.H. (Willem), Lettre, G. (Guillaume), Sankaran, V.G. (Vijay G.), Soranzo, N. (Nicole), Vuckovic, D. (Dragana), Bao, E.L. (Erik L.), Akbari, P. (Parsa), Lareau, C.A. (Caleb A.), Mousas, A. (Abdou), Jiang, T. (Tao), Chen, M.-H. (Ming-Huei), Raffield, L.M. (Laura M.), Tardaguila, M. (Manuel), Huffman, J.E. (Jennifer E.), Ritchie, S.C. (Scott C.), Megy, K. (Karyn), Ponstingl, H. (Hannes), Penkett, C.J. (Christopher J.), Albers, P.K. (Patrick K.), Wigdor, E.M. (Emilie M.), Sakaue, S. (Saori), Moscati, A. (Arden), Manansala, R. (Regina), Lo, K.S., Qian, H. (Huijun), Akiyama, M. (Masato), Bartz, T.M. (Traci M.), Ben-Shlomo, Y. (Yoav), Beswick, A. (Andrew), Bork-Jensen, J. (Jette), Bottinger, E.P. (Erwin), Brody, J.A. (Jennifer A.), Rooij, F.J.A. (Frank) van, Chitrala, K.N. (Kumaraswamy N.), Wilson, P.W.F. (Peter W.F.), Choquet, H. (Hélène), Danesh, J. (John), Angelantonio, E. (Emanuele) di, Dimou, N. (Niki), Ding, J. (Jingzhong), Elliott, P. (Paul), Esko, T. (Tõnu), Evans, M.K. (Michele), Felix, S.B. (Stephan Burkhard), Floyd, J.S. (James S.), Broer, L. (Linda), Grarup, N. (Niels), Guo, M.H. (Michael H.), Guo, Q. (Qi), Greinacher, A. (Andreas), Haessler, J. (Jeff), Hansen, T. (Torben), Howson, J.M.M. (Joanna M.M.), Huang, W. (Wei), Jorgenson, E. (Eric), Kacprowski, T. (Tim), Kähönen, M. (Mika), Kamatani, Y. (Yoichiro), Kanai, M. (Masahiro), Karthikeyan, S. (Savita), Koskeridis, F. (Fotios), Lange, L.A. (Leslie A.), Lehtimäki, T. (Terho), Linneberg, A. (Allan), Liu, Y. (YongMei), Lyytikäinen, L.-P. (Leo-Pekka), Manichaikul, A. (Ani), Matsuda, K. (Koichi), Mohlke, K.L. (Karen L.), Mononen, N. (Nina), Murakami, Y. (Yoshinori), Nadkarni, G. (Girish), Nikus, K. (Kjell), Pankratz, V.S. (Shane), Pedersen, O. (Oluf), Preuss, M. (Michael), Psaty, B.M. (Bruce), Raitakari, O. (Olli), Rich, S.S. (Stephen), Rodriguez, B.A.T. (Benjamin A.T.), Rosen, J.D. (Jonathan D.), Rotter, J.I. (Jerome I.), Schubert, P. (Petra), Spracklen, C.N. (Cassandra N.), Surendran, P. (Praveen), Tang, H. (Hua), Tardif, J.-C. (Jean-Claude), Ghanbari, M. (Mohsen), Völker, U. (Uwe), Völzke, H. (Henry), Watkins, N.A. (Nicholas A.), Weiss, S. (Stefan), Cai, N. (Na), Kundu, K. (Kousik), Watt, S.B. (Stephen B.), Walter, K. (Klaudia), Zonderman, A.B. (Alan B.), Cho, K. (Kelly), Li, Y. (Yun), Loos, R.J.F. (Ruth), Knight, J.C. (Julian), Georges, M. (Michel), Stegle, O. (Oliver), Evangelou, E. (Evangelos), Okada, Y. (Yukinori), Roberts, D.J. (David J.), Inouye, M. (Michael), Johnson, A.D. (Andrew), Auer, P.L. (Paul L.), Astle, W.J. (William J.), Reiner, A.P. (Alexander P.), Butterworth, A.S. (Adam S.), Ouwehand, W.H. (Willem), Lettre, G. (Guillaume), Sankaran, V.G. (Vijay G.), and Soranzo, N. (Nicole)
- Abstract
Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation. Analysis of blood cell traits in the UK Biobank and other cohorts illuminates the full genetic architecture of hematopoietic phenotypes, with evidence supporting the omnigenic model for complex traits and linking polygenic burden with monogenic blood diseases.
- Published
- 2020
- Full Text
- View/download PDF
17. The Polygenic and Monogenic Basis of Blood Traits and Diseases
- Author
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Vuckovic, D, Bao, EL, Akbari, P, Lareau, CA, Mousas, A, Jiang, T, Chen, M-H, Raffield, LM, Tardaguila, M, Huffman, JE, Ritchie, SC, Megy, K, Ponstingl, H, Penkett, CJ, Albers, PK, Wigdor, EM, Sakaue, S, Moscati, A, Manansala, R, Lo, KS, Qian, H, Akiyama, M, Bartz, TM, Ben-Shlomo, Y, Beswick, A, Bork-Jensen, J, Bottinger, EP, Brody, JA, van Rooij, FJA, Chitrala, KN, Wilson, PWF, Choquet, H, Danesh, J, Di Angelantonio, E, Dimou, N, Ding, J, Elliott, P, Esko, T, Evans, MK, Felix, SB, Floyd, JS, Broer, L, Grarup, N, Guo, MH, Guo, Q, Greinacher, A, Haessler, J, Hansen, T, Howson, JMM, Huang, W, Jorgenson, E, Kacprowski, T, Kahonen, M, Kamatani, Y, Kanai, M, Karthikeyan, S, Koskeridis, F, Lange, LA, Lehtimaki, T, Linneberg, A, Liu, Y, Lyytikainen, L-P, Manichaikul, A, Matsuda, K, Mohlke, KL, Mononen, N, Murakami, Y, Nadkarni, GN, Nikus, K, Pankratz, N, Pedersen, O, Preuss, M, Psaty, BM, Raitakari, OT, Rich, SS, Rodriguez, BAT, Rosen, JD, Rotter, JI, Schubert, P, Spracklen, CN, Surendran, P, Tang, H, Tardif, J-C, Ghanbari, M, Volker, U, Volzke, H, Watkins, NA, Weiss, S, Cai, N, Kundu, K, Watt, SB, Walter, K, Zonderman, AB, Cho, K, Li, Y, Loos, RJF, Knight, JC, Georges, M, Stegle, O, Evangelou, E, Okada, Y, Roberts, DJ, Inouye, M, Johnson, AD, Auer, PL, Astle, WJ, Reiner, AP, Butterworth, AS, Ouwehand, WH, Lettre, G, Sankaran, VG, Soranzo, N, Vuckovic, D, Bao, EL, Akbari, P, Lareau, CA, Mousas, A, Jiang, T, Chen, M-H, Raffield, LM, Tardaguila, M, Huffman, JE, Ritchie, SC, Megy, K, Ponstingl, H, Penkett, CJ, Albers, PK, Wigdor, EM, Sakaue, S, Moscati, A, Manansala, R, Lo, KS, Qian, H, Akiyama, M, Bartz, TM, Ben-Shlomo, Y, Beswick, A, Bork-Jensen, J, Bottinger, EP, Brody, JA, van Rooij, FJA, Chitrala, KN, Wilson, PWF, Choquet, H, Danesh, J, Di Angelantonio, E, Dimou, N, Ding, J, Elliott, P, Esko, T, Evans, MK, Felix, SB, Floyd, JS, Broer, L, Grarup, N, Guo, MH, Guo, Q, Greinacher, A, Haessler, J, Hansen, T, Howson, JMM, Huang, W, Jorgenson, E, Kacprowski, T, Kahonen, M, Kamatani, Y, Kanai, M, Karthikeyan, S, Koskeridis, F, Lange, LA, Lehtimaki, T, Linneberg, A, Liu, Y, Lyytikainen, L-P, Manichaikul, A, Matsuda, K, Mohlke, KL, Mononen, N, Murakami, Y, Nadkarni, GN, Nikus, K, Pankratz, N, Pedersen, O, Preuss, M, Psaty, BM, Raitakari, OT, Rich, SS, Rodriguez, BAT, Rosen, JD, Rotter, JI, Schubert, P, Spracklen, CN, Surendran, P, Tang, H, Tardif, J-C, Ghanbari, M, Volker, U, Volzke, H, Watkins, NA, Weiss, S, Cai, N, Kundu, K, Watt, SB, Walter, K, Zonderman, AB, Cho, K, Li, Y, Loos, RJF, Knight, JC, Georges, M, Stegle, O, Evangelou, E, Okada, Y, Roberts, DJ, Inouye, M, Johnson, AD, Auer, PL, Astle, WJ, Reiner, AP, Butterworth, AS, Ouwehand, WH, Lettre, G, Sankaran, VG, and Soranzo, N
- Abstract
Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.
- Published
- 2020
18. Meta-analysis of 542,934 subjects of European ancestry identifies new genes and mechanisms predisposing to refractive error and myopia
- Author
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Hysi, PG, Choquet, H, Khawaja, AP, Wojciechowski, R, Tedja, MS, Yin, J, Simcoe, MJ, Patasova, K, Mahroo, OA, Thai, KK, Cumberland, PM, Melles, RB, Verhoeven, VJM, Vitart, V, Segre, A, Stone, RA, Wareham, N, Hewitt, AW, Mackey, DA, Klaver, CCW, MacGregor, S, Khaw, PT, Foster, PJ, Guggenheim, JA, Rahi, JS, Jorgenson, E, Hammond, CJ, Hysi, PG, Choquet, H, Khawaja, AP, Wojciechowski, R, Tedja, MS, Yin, J, Simcoe, MJ, Patasova, K, Mahroo, OA, Thai, KK, Cumberland, PM, Melles, RB, Verhoeven, VJM, Vitart, V, Segre, A, Stone, RA, Wareham, N, Hewitt, AW, Mackey, DA, Klaver, CCW, MacGregor, S, Khaw, PT, Foster, PJ, Guggenheim, JA, Rahi, JS, Jorgenson, E, and Hammond, CJ
- Abstract
Refractive errors, in particular myopia, are a leading cause of morbidity and disability worldwide. Genetic investigation can improve understanding of the molecular mechanisms that underlie abnormal eye development and impaired vision. We conducted a meta-analysis of genome-wide association studies (GWAS) that involved 542,934 European participants and identified 336 novel genetic loci associated with refractive error. Collectively, all associated genetic variants explain 18.4% of heritability and improve the accuracy of myopia prediction (area under the curve (AUC) = 0.75). Our results suggest that refractive error is genetically heterogeneous, driven by genes that participate in the development of every anatomical component of the eye. In addition, our analyses suggest that genetic factors controlling circadian rhythm and pigmentation are also involved in the development of myopia and refractive error. These results may enable the prediction of refractive error and the development of personalized myopia prevention strategies in the future.
- Published
- 2020
19. 143 Identification of actinic keratosis susceptibility loci
- Author
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Kim, Y., primary, Choquet, H., additional, Huang, H., additional, Jorgenson, E., additional, and Asgari, M., additional
- Published
- 2020
- Full Text
- View/download PDF
20. No major contribution of TCF7L2 sequence variants to maturity onset of diabetes of the young (MODY) or neonatal diabetes mellitus in French white subjects
- Author
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Cauchi, S., Vaxillaire, M., Choquet, H., Durand, E., Duval, A., Polak, M., and Froguel, P.
- Published
- 2007
- Full Text
- View/download PDF
21. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use
- Author
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Liu, M, Jiang, Y, Wedow, R, Li, Y, Brazel, DM, Chen, F, Datta, G, Davila-Velderrain, J, McGuire, D, Tian, C, Zhan, X, Team, 23Andme Research, Psychiatry, Hunt All-In, Choquet, H, Docherty, AR, Faul, JD, Foerster, JR, Fritsche, LG, Gabrielsen, ME, Gordon, SD, Haessler, J, Hottenga, J-J, Huang, H, Jang, S-K, Jansen, PR, Ling, Y, Mägi, R, Matoba, N, McMahon, G, Mulas, A, Orrù, V, Palviainen, T, Pandit, A, Reginsson, GW, Skogholt, AH, Smith, JA, Taylor, AE, Turman, C, Willemsen, G, Young, H, Young, KA, Zajac, GJM, Zhao, W, Zhou, W, Bjornsdottir, G, Boardman, JD, Boehnke, M, Boomsma, DI, Chen, C, Cucca, F, Davies, GE, Eaton, CB, Ehringer, MA, Esko, T, Fiorillo, E, Gillespie, NA, Gudbjartsson, DF, Haller, T, Harris, KM, Heath, AC, Hewitt, JK, Hickie, IB, Hokanson, JE, Hopfer, CJ, Hunter, DJ, Iacono, WG, Johnson, EO, Kamatani, Y, Kardia, SLR, Keller, MC, Kellis, M, Kooperberg, C, Kraft, P, Krauter, KS, Laakso, M, Lind, PA, Loukola, A, Lutz, SM, Madden, PAF, Martin, NG, McGue, M, McQueen, MB, Medland, SE, Metspalu, A, Mohlke, KL, Nielsen, JB, Okada, Y, Peters, U, Polderman, TJC, Posthuma, D, Reiner, AP, Rice, JP, Rimm, E, Rose, RJ, Runarsdottir, V, Stallings, MC, Stančáková, A, Stefansson, H, Thai, KK, Tindle, HA, Tyrfingsson, T, Wall, TL, Weir, DR, Weisner, C, Whitfield, JB, Winsvold, BS, Yin, J, Zuccolo, L, Bierut, LJ, Hveem, K, Lee, JJ, Munafò, MR, Saccone, NL, Willer, CJ, Cornelis, MC, David, SP, Hinds, DA, Jorgenson, E, Kaprio, J, Stitzel, JA, Stefansson, K, Thorgeirsson, TE, Abecasis, G, Liu, DJ, Vrieze, S, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Methodology, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Aging & Later Life, and Human Genetics
- Subjects
Male ,Netherlands Twin Register (NTR) ,Smoking/genetics ,ved/biology.organism_classification_rank.species ,Alcohol ,Genome-wide association study ,Brain and Behaviour ,chemistry.chemical_compound ,0302 clinical medicine ,Tobacco Use Disorder/genetics ,Tobacco/adverse effects ,Genetics ,0303 health sciences ,Smoking ,Tobacco and Alcohol ,public health ,Tobacco Use Disorder ,Middle Aged ,3. Good health ,Phenotype ,psychiatric disorders ,Genetic Variation/genetics ,Meta-analysis ,Genome-Wide Association Study/methods ,Female ,Physical and Mental Health ,Risk ,Alcohol Drinking ,psychology ,Biology ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Tobacco ,Humans ,Model organism ,Gene ,030304 developmental biology ,Genetic association ,ved/biology ,Genetic Variation ,Alcohol Drinking/genetics ,Heritability ,chemistry ,genome-wide association studies ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6,7,8,9,10,11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures. © 2019. This is the authors’ accepted and refereed manuscript to the article.
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- 2019
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22. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations
- Author
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Cai, J., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Qian, H., Montgomery, C., Kelly, T.N., Cho, M.H., Weiss, S.T., Loos, R.J.F., Johnson, A.D., de Vries, P.S., Li, Y., Becker, L.C., Peralta, J.M., Wiggins, K.L., Bowden, D.W., Lasky-Su, J.A., Buyske, S., Shan, Y., Moon, J.-Y., Jorgenson, E., Cushman, M., Tiwari, H.K., Kooperberg, C., Faraday, N., Tapia, A.L., TOPMed Hematology & Hemostasis Working Group, Thornton, T.A., Choquet, H., Barnes, K.C., Bis, J.C., Hodonsky, C.J., Mathias, R.A., Wang, T., Taylor, K.D., He, J., Kaplan, R., Gupta, N., Lubitz, S.A., Smith, N.L., Daya, M., Rich, S.S., Peyser, P.A., Palmer, N.D., Silverman, E.K., Arnett, D.K., Choi, S.H., Cupples, L. A., Reiner, A.P., Argos, M., Boerwinkle, E., Hou, Z., Auer, P.L., Bien, S.A., Hidalgo, B., Ellinor, P.T., Heckbert, S.R., Gabriel, S., Tracy, R.P., Avery, C., Yanek, L.R., Raffield, L.M., Papanicolaou, G.J., Fornage, M., Z��llner, S., Graff, M., Wilson, J.G., Smith, J.A., Weng, L.-C., Morrison, A.C., Rosen, J.D., Irvin, M.R., North, K.E., Kardia, S.L.R., Pankratz, N., Rotter, J.I., Blangero, J., McHugh, C.P., Jain, D., Kowalski, M.H., and Ganesh, S.K.
- Abstract
Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count 86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations.
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- 2019
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23. 501 Meta-analyses of genome-wide association studies in multiethnic cohorts identify risk loci associated with hidradenitis suppurativa
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Choquet, H., Yin, J., Kim, Y., Hoffmann, T., Saini, S., Shringarpure, S., Team, Jorgenson, E., and Asgari, M.M.
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- 2022
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24. O53 L’altération du récepteur des acides gras insaturés de type omega-3 GPR120 entraîne une obésité chez l’Homme et la Souris
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Bonnefond, A., Poulain-Godefroy, O., Ichimura, A., Hirasawa, A., Yengo, L., Leloire, A., Choquet, H., Meyre, D., Pattou, F., Wolowczuk, I., Tsujimoto, G., and Froguel, P.
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- 2012
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25. 175 The role of common mitochondrial haplogroups in cutaneous squamous cell carcinoma susceptibility
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Jorgenson, E., primary, Choquet, H., additional, Yin, J., additional, and Asgari, M., additional
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- 2018
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26. 166 Genetic ancestry and cutaneous squamous cell carcinoma
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Jorgenson, E., primary, Choquet, H., additional, Yin, J., additional, and Asgari, M., additional
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- 2018
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27. 181 Association of pleiotropic cancer susceptibility variants and risk of cutaneous squamous cell carcinoma
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Choquet, H., primary, Yin, J., additional, Asgari, M., additional, and Jorgenson, E., additional
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- 2018
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28. Functional effects of the common SLC30A8 Arg325Trp polymorphism on isolated human pancreatic islets
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Cauchi, S, Del Guerra, S, Choquet, H, D'Aleo, V, Groves, C, Lupi, R, Mccarthy, M, Froguel, P, and Marchetti, P
- Published
- 2009
29. Effects of TCF7L2 polymorphisms on obesity in European populations
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Cauchi, S., Choquet, H., Gutierrez-Aguilar, R., Capel, F., Grau, K., Proenca, C., Dina, C., Duval, A., Balkau, B., Marre, M., Potoczna, N., Langin, D., Horber, F., Sørensen, Thorkild I.A., Charpentier, G., Meyre, D., Froguel, P., Cauchi, S., Choquet, H., Gutierrez-Aguilar, R., Capel, F., Grau, K., Proenca, C., Dina, C., Duval, A., Balkau, B., Marre, M., Potoczna, N., Langin, D., Horber, F., Sørensen, Thorkild I.A., Charpentier, G., Meyre, D., and Froguel, P.
- Abstract
Udgivelsesdato: 2008/2
- Published
- 2008
30. TCF7L2 is associated with type 2 diabetes in nonobese individuals from Tunisia
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Bouhaha, R., primary, Choquet, H., additional, Meyre, D., additional, Abid Kamoun, H., additional, Ennafaa, H., additional, Baroudi, T., additional, Sassi, R., additional, Vaxillaire, M., additional, Elgaaied, A., additional, Froguel, P., additional, and Cauchi, S., additional
- Published
- 2010
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31. O8 Une déficience partielle en prohormone convertase 1 confère une augmentation du risque de l’obésité
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Choquet, H., primary, Creemers, J., additional, Pigeyre, M., additional, Vatin, V., additional, Balkau, B., additional, Jarvelin, M.R., additional, Horber, F., additional, Van Hul, W., additional, Van Gaal, L., additional, Pattou, F., additional, Froguel, P., additional, and Meyre, D., additional
- Published
- 2010
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32. O100 L’architecture génétique du diabète de type 2 est modulée par le statut d’obésité
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Cauchi, S., primary, Nead, K., additional, Choquet, H., additional, Horber, F., additional, Potoczna, N., additional, Balkau, B., additional, Marre, M., additional, Charpentier, G., additional, Froguel, P., additional, and Meyre, D., additional
- Published
- 2008
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33. No major contribution of TCF7L2 sequence variants to maturity onset of diabetes of the young (MODY) or neonatal diabetes mellitus in French white subjects
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Cauchi, S., primary, Vaxillaire, M., additional, Choquet, H., additional, Durand, E., additional, Duval, A., additional, Polak, M., additional, and Froguel, P., additional
- Published
- 2006
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34. Prevalence of loss-of-function FTO mutations in lean and obese individuals.
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Meyre D, Proulx K, Kawagoe-Takaki H, Vatin V, Gutiérrez-Aguilar R, Lyon D, Ma M, Choquet H, Horber F, Van Hul W, Van Gaal L, Balkau B, Visvikis-Siest S, Pattou F, Farooqi IS, Saudek V, O'Rahilly S, Froguel P, Sedgwick B, and Yeo GS
- Abstract
Objective: Single nucleotide polymorphisms (SNPs) in intron 1 of fat mass- and obesity-associated gene (FTO) are strongly associated with human adiposity, whereas Fto(-/-) mice are lean and Fto(+/-) mice are resistant to diet-induced obesity. We aimed to determine whether FTO mutations are disproportionately represented in lean or obese humans and to use these mutations to understand structure-function relationships within FTO.Research Design and Methods: We sequenced all coding exons of FTO in 1,433 severely obese and 1,433 lean individuals. We studied the enzymatic activity of selected nonsynonymous variants.Results: We identified 33 heterozygous nonsynonymous variants in lean (2.3%) and 35 in obese (2.4%) individuals, with 8 mutations unique to the obese and 11 unique to the lean. Two novel mutations replace absolutely conserved residues: R322Q in the catalytic domain and R96H in the predicted substrate recognition lid. R322Q was unable to catalyze the conversion of 2-oxoglutarate to succinate in the presence or absence of 3-methylthymidine. R96H retained some basal activity, which was not enhanced by 3-methylthymidine. However, both were found in lean and obese individuals.Conclusions: Heterozygous, loss-of-function mutations in FTO exist but are found in both lean and obese subjects. Although intron 1 SNPs are unequivocally associated with obesity in multiple populations and murine studies strongly suggest that FTO has a role in energy balance, it appears that loss of one functional copy of FTO in humans is compatible with being either lean or obese. Functional analyses of FTO mutations have given novel insights into structure-function relationships in this enzyme. [ABSTRACT FROM AUTHOR]- Published
- 2010
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35. TCF7L2 Variation Predicts Hyperglycemia Incidence in a French General Population: The Data From an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) Study.
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Cauchi S, Meyre D, Choquet H, Dina C, Born C, Marre M, Balkau B, and Froguel P
- Abstract
Recently, case-control studies demonstrated that a TCF7L2 (transcription factor 7-like 2 gene) noncoding variant (rs7903146 T at-risk allele) was strongly associated with an increased risk of type 2 diabetes. However, the predictive value of this marker in a nonselected general population remains unknown. In this study, our aim was to assess the contribution of this variant to the prevalence and incidence of hyperglycemia (type 2 diabetes and impaired fasting glucose) and insulin regulation in a 9-year prospective study of 4,976 middle-aged participants in the French DESIR (Data from an Epidemiological Study on the Insulin Resistance Syndrome) cohort. Our data support previous studies associating the T at-risk allele with a higher prevalence of hyperglycemia at baseline (P = 0.049) and a higher incidence of hyperglycemia after 9 years of follow-up (P = 0.014). The population-attributable risk to develop hyperglycemia due to the T at-risk allele was estimated to be 10.4% at the end of the prospective study. The most likely inheritance model was found to be additive (P = 0.002) rather than deviating from linearity (P = 0.098). An increase in the incidence of hyperglycemia was confirmed by survival analyses among C/C, C/T, and T/T carriers during the 9 years of follow-up (P = 0.028 by log-rank test). Interestingly, in control individuals, there was weak evidence of association of the T at-risk allele with reduced fasting insulin levels and insulin secretion index (homeostasis model assessment of beta-cell function) in control individuals. We conclude that the TCF7L2 T at-risk allele variation (rs7903146) predicts hyperglycemia incidence in a general French population, possibly through a deleterious effect on insulin secretion. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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36. Transcription Factor TCF7L2 Genetic Study in the French Population: Expression in Human {beta}-Cells and Adipose Tissue and Strong Association With Type 2 Diabetes.
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Cauchi S, Meyre D, Dina C, Choquet H, Samson C, Gallina S, Balkau B, Charpentier G, Pattou F, Stetsyuk V, Scharfmann R, Staels B, Frühbeck G, and Froguel P
- Abstract
Recently, the transcription factor 7-like 2 (TCF7L2) gene has been associated with type 2 diabetes in subjects of European origin in the DeCode study. We genotyped the two most associated variants (rs7903146 and rs12255372) in 2,367 French type 2 diabetic subjects and in 2,499 control subjects. Both the T-allele of rs7903146 and the T-allele of rs12255372 significantly increase type 2 diabetes risk with an allelic odds ratio (OR) of 1.69 (95% CI 1.55-1.83) (P = 6.0 x 10(-35)) and 1.60 (1.47-1.74) (P = 7.6 x 10(-28)), respectively. In nonobese type 2 diabetic subjects (BMI <30 kg/m(2), n = 1,346), the ORs increased to 1.89 (1.72-2.09) (P = 2.1 x 10(-38)) and 1.79 (1.62-1.97) (P = 5.7 x 10(-31)), respectively. The rs7903146 T at-risk allele associates with decreased BMI and earlier age at diagnosis in the type 2 diabetic subjects (P = 8.0 x 10(-3) and P = 3.8 x 10(-4), respectively), which is supported by quantitative family-based association tests. TCF7L2 is expressed in most human tissues, including mature pancreatic beta-cells, with the exception of the skeletal muscle. In the subcutaneous and omental fat from obese type 2 diabetic subjects, TCF7L2 expression significantly decreased compared with obese normoglycemic individuals. During rat fetal beta-cell differentiation, TCF7L2 expression pattern mimics the key marker NGN3 (neurogenin 3), suggesting a role in islet development. These data provide evidence that TCF7L2 is a major determinant of type 2 diabetes risk in European populations and suggests that this transcription factor plays a key role in glucose homeostasis. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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37. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use
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Polderman, T.J.C., Stefansson, K., Zuccolo, L., Wall, T.L., Stan����kov��, A., Zhan, X., Hunter, D.J., Davila-Velderrain, J., Palviainen, T., Brazel, D.M., 23andMe Research Team, Haller, T., Chen, F., Jiang, Y., Johnson, E.O., Rose, R.J., Martin, N.G., Wedow, R., Rice, J.P., Boehnke, M., Jorgenson, E., Posthuma, D., Haessler, J., Kellis, M., Young, K.A., Jansen, P.R., Bjornsdottir, G., Kardia, S.L.R., Metspalu, A., Chen, C., Eaton, C.B., Madden, P.A.F., Gillespie, N.A., McGue, M., Choquet, H., McMahon, G., Jang, S.-K., Faul, J.D., Nielsen, J.B., Fritsche, L.G., Yin, J., Cucca, F., Medland, S.E., Vrieze, S., Thorgeirsson, T.E., Loukola, A., Reginsson, G.W., Tian, C., Orr��, V., HUNT All-In Psychiatry, Iacono, W.G., Gordon, S.D., Kraft, P., Fiorillo, E., Reiner, A.P., Willer, C.J., Boomsma, D.I., Munaf��, M.R., Tyrfingsson, T., Kaprio, J., Laakso, M., Zajac, G.J.M., Willemsen, G., Hickie, I.B., Runarsdottir, V., Li, Y., Hottenga, J.-J., McQueen, M.B., Ehringer, M.A., Zhou, W., Smith, J.A., Taylor, A.E., Tindle, H.A., Kooperberg, C., Boardman, J.D., Lee, J.J., McGuire, D., Zhao, W., Mulas, A., Cornelis, M.C., Lind, P.A., Hveem, K., Weisner, C., Datta, G., Gudbjartsson, D.F., Lutz, S.M., M��gi, R., Hewitt, J.K., Turman, C., Thai, K.K., Stallings, M.C., Kamatani, Y., Hopfer, C.J., David, S.P., Young, H., Rimm, E., Bierut, L.J., Ling, Y., Foerster, J.R., Harris, K.M., Davies, G.E., Krauter, K.S., Matoba, N., Abecasis, G., Esko, T., Keller, M.C., Whitfield, J.B., Liu, D.J., Huang, H., Stitzel, J.A., Liu, M., Peters, U., Saccone, N.L., Docherty, A.R., Pandit, A., Stefansson, H., Hokanson, J.E., Heath, A.C., Okada, Y., Weir, D.R., and Mohlke, K.L.
- Subjects
3. Good health - Abstract
Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders. They are heritable and etiologically related behaviors that have been resistant to gene discovery efforts. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures.
38. Structural framework to address variant-gene relationship in primary open-angle glaucoma.
- Author
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Singh N, Kizhatil K, Duraikannu D, Choquet H, and Saidas Nair K
- Abstract
Primary open-angle glaucoma (POAG) is a complex, multifactorial disease leading to progressive optic neuropathy and irreversible vision loss. Genome-Wide Association Studies (GWAS) have significantly advanced our understanding of the genetic loci associated with POAG. Expanding on these findings, Exome-Wide Association Studies (ExWAS) refine the genetic landscape by identifying rare coding variants with potential functional relevance. Post-GWAS in silico analyses, including fine-mapping, gene-based association testing, and pathway analysis, offer insights into target genes and biological mechanisms underlying POAG. This review aims to provide a comprehensive roadmap for the post-GWAS characterization of POAG genes. We integrate current knowledge from GWAS, ExWAS, and post-GWAS analyses, highlighting key genetic variants and pathways implicated in POAG. Recent advancements in genomics, such as ATAC-seq, CUT&RUN, and Hi-C, are crucial for identifying disease-relevant gene regulatory elements by profiling chromatin accessibility, histone modifications, and three-dimensional chromatin architecture. These approaches help pinpoint regulatory elements that influence gene expression in POAG. Expression Quantitative Trait Loci (eQTL) analysis and Transcriptome-Wide Association Studies (TWAS) elucidate the impact of these elements on gene expression and disease risk, while functional validations like enhancer reporter assays confirm their relevance. The integration of high-resolution genomics with functional assays and the characterization of genes in vivo using animal models provides a robust framework for unraveling the complex genetic architecture of POAG. This roadmap is essential for advancing our understanding and identification of genes and regulatory networks involved in POAG pathogenesis., (Copyright © 2024. Published by Elsevier Ltd.)
- Published
- 2024
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39. Omega-3 Polyunsaturated Fatty Acids as a Protective Factor for Myopia.
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Xue CC, Li H, Dong XX, Yu M, Soh ZD, Chong CCY, Jiang C, Choquet H, Zebardast N, Zekavat SM, Hysi PG, Saw SM, Fan Q, Tham YC, Pan CW, and Cheng CY
- Abstract
Purpose: Animal models suggest omega-3 polyunsaturated fatty acids (PUFAs) may protect against myopia by modulating choroidal blood perfusion, but clinical evidence is scarce and mixed. We aimed to determine the causality between omega-3 PUFAs and myopia using Mendelian randomization (MR) analysis., Design: Two-sample MR analysis., Methods: Exposures are genetically predicted plasma levels of 18 fatty acid (FA)-related traits. Spherical equivalent refraction (SER) and axial length were used as measurements of myopia. Genome-wide association study summary data on plasma levels of 18 FA-related traits (n=115,006), refractive spherical equivalent (n=351,091), axial length (n=69,945), and choroidal thickness (n=44,823) were sourced from the UK Biobank, the Genetic Epidemiology Research on Adult Health and Aging cohort, and the Consortium for Refractive Error and Myopia Study. We used 5 MR models and considered results statistically significant if the Bonferroni-corrected P value was ≤2.78 ×10
-3 in at least 3 MR models. The β represents the change in outcomes (SER in diopters; axial length in millimeters; and choroidal thickness in SD) per SD unit increase in FA levels., Results: At a Bonferroni-corrected significance, higher levels of omega-3 (β, 0.32-0.34), omega-3-total FA ratio (β, 0.31-0.44), docosahexaenoic acid (DHA) (β, 0.36-0.46), DHA-total FA ratio (β, 0.37-0.53), PUFA-total FA ratio (β, 0.07-1.003), and degree of unsaturation (β, 0.28-0.44) were associated with a more positive SER, suggesting a lower risk of myopia. Similar trends were observed for axial length albeit with borderline significance (P ≤ .035 in ≥2 models). Higher levels of omega-3, DHA, DHA-total FA ratio, PUFA-total FA ratio, PUFA-monounsaturated FA ratio, and degree of unsaturation were nominally associated with thicker choroidal thickness (β, 0.05-0.13; P ≤ .045 in ≥2 models)., Conclusion: Our multiple MR models suggest a protective effect of omega-3 and DHA on myopia, potentially through modulation of choroidal blood perfusion. Further randomized clinical trials are needed to confirm the effectiveness and determine the optimal dose and duration., (Copyright © 2024 Elsevier Inc. All rights reserved.)- Published
- 2024
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40. Visual Impairment, Eye Conditions, and Diagnoses of Neurodegeneration and Dementia.
- Author
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Ferguson EL, Thoma M, Buto PT, Wang J, Glymour MM, Hoffmann TJ, Choquet H, Andrews SJ, Yaffe K, Casaletto K, and Brenowitz WD
- Subjects
- Humans, Female, Male, Aged, Middle Aged, Myopia epidemiology, Myopia genetics, Risk Factors, Alzheimer Disease genetics, Alzheimer Disease epidemiology, Vision Disorders epidemiology, Mendelian Randomization Analysis, United Kingdom epidemiology, Cohort Studies, Visual Acuity, Genome-Wide Association Study, Neurodegenerative Diseases epidemiology, Neurodegenerative Diseases genetics, Cataract epidemiology, Dementia epidemiology, Dementia genetics
- Abstract
Importance: Vision and eye conditions are associated with increased risk for Alzheimer disease and related dementias (ADRDs), but the nature of the association and the underlying biological pathways remain unclear. If causal, vision would be an important modifiable risk factor with viable population-level interventions., Objective: To evaluate potentially causal associations between visual acuity, eye conditions (specifically cataracts and myopia), neuroimaging outcomes, and ADRDs., Design, Setting, and Participants: A cohort and 2-sample bidirectional mendelian randomization (MR) study was conducted using UK Biobank participants and summary statistics from previously published genome-wide association studies on cataract, myopia, and AD. The participants included in the analysis were aged 55 to 70 years without dementia at baseline (calendar years 2006 to 2010), underwent genotyping, and reported on eye conditions; a subset completed visual acuity examinations (n = 69 852-71 429) or brain imaging (n = 36 591-36 855). Data were analyzed from August 15, 2022, through November 28, 2023., Exposure: Self-reported cataracts, visual acuity, and myopia measured by refraction error., Main Outcomes and Measures: ADRD, AD, and vascular dementia were identified from electronic medical records. Total and regional brain volumes were determined using magnetic resonance imaging., Results: The sample included 304 953 participants (mean [SD] age, 62.1 (4.1) years; 163 825 women [53.72%]); 14 295 (4.69%) had cataracts and 2754 (3.86%) had worse than 20/40 vision. Cataracts (hazard ratio [HR], 1.18; 95% CI, 1.07-1.29) and myopia (HR, 1.35; 95% CI, 1.06-1.70) were associated with a higher hazard of ADRD. In MR analyses to estimate potential causal effects, cataracts were associated with increased risk of vascular dementia (inverse variance-weighted odds ratio [OR], 1.92; 95% CI, 1.26-2.92) but were not associated with increased dementia (OR, 1.21; 95% CI, 0.98-1.50). There were no associations between myopia and dementia. In MR for potential reverse causality, AD was not associated with cataracts (inverse variance-weighted OR, 0.99; 95% CI, 0.96-1.01). Genetic risk for cataracts was associated with smaller total brain (β = -597.43 mm3; 95% CI, -1077.87 to -117.00 mm3) and gray matter (β = -375.17 mm3; 95% CI, -680.10 to -70.24 mm3) volumes, but not other brain regions., Conclusions and Relevance: In this cohort and MR study of UK Biobank participants, cataracts were associated with increased risk of dementia, especially vascular dementia, and reduced total brain volumes. These findings lend further support to the hypothesis that cataract extraction may reduce the risk for dementia.
- Published
- 2024
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41. Socio-Demographic and Preoperative Clinical Factors Associated With 5-Year Weight Trajectories After Roux-en-Y Gastric Bypass and Sleeve Gastrectomy.
- Author
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Patel S, Jiang C, Cowan B, Yin J, Schaefer C, Dutta S, Mostaedi R, and Choquet H
- Abstract
Objective: To determine whether socio-demographic and preoperative clinical factors contribute to the percent total body weight loss (%TBWL) after bariatric surgery (BS)., Background: BS is the most effective long-term treatment for medically complicated obesity. More information is needed about the factors that contribute to postoperative %TBWL in large and ethnically diverse cohorts., Methods: This retrospective study conducted in the Kaiser Permanente Northern California region included 7698 patients who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) between January 2009 and March 2015. Trajectory analyses were conducted from 5-year follow-up data to assign patients to "low," "average," or "high" postoperative %TBWL groups. We then evaluated whether age, sex, race/ethnicity, neighborhood deprivation index and preoperative body mass index (BMI)/weight loss, diabetes, hypertension, and sleep apnea contributed to postoperative %TBWL using logistic regression models., Results: Of 7698 patients (83.2% women), 48.6% underwent a RYGB and 51.4% underwent a SG. Postoperative %TBWL trajectories over 5 years were obtained in 6229 (81%) of 7698 eligible patients. About 27.8% and 29.3% of patients followed the "low" postoperative %TBWL trajectory, for RYGB and SG, respectively. Men, older patients, and Asian, Black, and Hispanic/Latino patients were more likely to be classified in the low postoperative %TBWL group. Patients showing lower postoperative %TBWL had a lower preoperative BMI (but lost less weight before surgery) and were more likely to have preoperative comorbidities., Conclusions: This study confirms and extends prior findings of the effects of several demographic and preoperative clinical factors on postoperative weight loss. Findings could improve the support of patients to achieve desired surgical outcomes., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)
- Published
- 2024
- Full Text
- View/download PDF
42. Multi-tissue transcriptome-wide association study identifies novel candidate susceptibility genes for cataract.
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Choquet H, Duot M, Herrera VA, Shrestha SK, Meyers TJ, Hoffmann TJ, Sangani PK, and Lachke SA
- Abstract
Introduction: Cataract is the leading cause of blindness among the elderly worldwide. Twin and family studies support an important role for genetic factors in cataract susceptibility with heritability estimates up to 58%. To date, 55 loci for cataract have been identified by genome-wide association studies (GWAS), however, much work remains to identify the causal genes. Here, we conducted a transcriptome-wide association study (TWAS) of cataract to prioritize causal genes and identify novel ones, and examine the impact of their expression., Methods: We performed tissue-specific and multi-tissue TWAS analyses to assess associations between imputed gene expression from 54 tissues (including 49 from the Genotype Tissue Expression (GTEx) Project v8) with cataract using FUSION software. Meta-analyzed GWAS summary statistics from 59,944 cataract cases and 478,571 controls, all of European ancestry and from two cohorts (GERA and UK Biobank) were used. We then examined the expression of the novel genes in the lens tissue using the iSyTE database., Results: Across tissue-specific and multi-tissue analyses, we identified 99 genes for which genetically predicted gene expression was associated with cataract after correcting for multiple testing. Of these 99 genes, 20 ( AC007773. 1, ANKH , ASIP , ATP13A2 , CAPZB , CEP95 , COQ6 , CREB1 , CROCC , DDX5 , EFEMP1 , EIF2S2 , ESRRB , GOSR2 , HERC4 , INSRR , NIPSNAP2 , PICALM , SENP3 , and SH3YL1 ) did not overlap with previously reported cataract-associated loci. Tissue-specific analysis identified 202 significant gene-tissue associations for cataract, of which 166 (82.2%), representing 9 unique genes, were attributed to the previously reported 11q13.3 locus. Tissue-enrichment analysis revealed that gastrointestinal tissues represented one of the highest proportions of the Bonferroni-significant gene-tissue associations (21.3%). Moreover, this gastrointestinal tissue type was the only anatomical category significantly enriched in our results, after correcting for the number of tissue donors and imputable genes for each reference panel. Finally, most of the novel cataract genes (e.g., Capzb ) were robustly expressed in iSyTE lens data., Discussion: Our results provide evidence of the utility of imputation-based TWAS approaches to characterize known GWAS risk loci and identify novel candidate genes that may increase our understanding of cataract etiology. Our findings also highlight the fact that expression of genes associated with cataract susceptibility is not necessarily restricted to lens tissue., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Choquet, Duot, Herrera, Shrestha, Meyers, Hoffmann, Sangani and Lachke.)
- Published
- 2024
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43. A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation.
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Gorman BR, Francis M, Nealon CL, Halladay CW, Duro N, Markianos K, Genovese G, Hysi PG, Choquet H, Afshari NA, Li YJ, Gaziano JM, Hung AM, Wu WC, Greenberg PB, Pyarajan S, Lass JH, Peachey NS, and Iyengar SK
- Subjects
- Humans, Genome-Wide Association Study, Transcription Factor 4 genetics, Collagen, Laminin genetics, Fuchs' Endothelial Dystrophy genetics, Fuchs' Endothelial Dystrophy metabolism
- Abstract
Fuchs endothelial corneal dystrophy (FECD) is a leading indication for corneal transplantation, but its molecular etiology remains poorly understood. We performed genome-wide association studies (GWAS) of FECD in the Million Veteran Program followed by multi-ancestry meta-analysis with the previous largest FECD GWAS, for a total of 3970 cases and 333,794 controls. We confirm the previous four loci, and identify eight novel loci: SSBP3, THSD7A, LAMB1, PIDD1, RORA, HS3ST3B1, LAMA5, and COL18A1. We further confirm the TCF4 locus in GWAS for admixed African and Hispanic/Latino ancestries and show an enrichment of European-ancestry haplotypes at TCF4 in FECD cases. Among the novel associations are low frequency missense variants in laminin genes LAMA5 and LAMB1 which, together with previously reported LAMC1, form laminin-511 (LM511). AlphaFold 2 protein modeling, validated through homology, suggests that mutations at LAMA5 and LAMB1 may destabilize LM511 by altering inter-domain interactions or extracellular matrix binding. Finally, phenome-wide association scans and colocalization analyses suggest that the TCF4 CTG18.1 trinucleotide repeat expansion leads to dysregulation of ion transport in the corneal endothelium and has pleiotropic effects on renal function., (© 2024. The Author(s).)
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- 2024
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44. Multi-ancestry genome-wide meta-analysis identifies novel basal cell carcinoma loci and shared genetic effects with squamous cell carcinoma.
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Choquet H, Jiang C, Yin J, Kim Y, Hoffmann TJ, Jorgenson E, and Asgari MM
- Subjects
- Humans, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Carcinoma, Squamous Cell genetics, Skin Neoplasms genetics, Carcinoma, Basal Cell genetics
- Abstract
Basal cell carcinoma (BCC) is one of the most common malignancies worldwide, yet its genetic determinants are incompletely defined. We perform a European ancestry genome-wide association (GWA) meta-analysis and a Hispanic/Latino ancestry GWA meta-analysis and meta-analyze both in a multi-ancestry GWAS meta-analysis of BCC, totaling 50,531 BCC cases and 762,234 controls from four cohorts (GERA, Mass-General Brigham Biobank, UK Biobank, and 23andMe research cohort). Here we identify 122 BCC-associated loci, of which 36 were novel, and subsequently fine-mapped these associations. We also identify an association of the well-known pigment gene SLC45A2 as well as associations at RCC2 and CLPTM1L with BCC in Hispanic/Latinos. We examine these BCC loci for association with cutaneous squamous cell carcinoma (cSCC) in 16,407 SCC cases and 762,486 controls of European ancestry, and 33 SNPs show evidence of association. Our study findings provide important insights into the genetic basis of BCC and cSCC susceptibility., (© 2024. The Author(s).)
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- 2024
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45. Association between lifetime smoking and cutaneous squamous cell carcinoma: A 2-sample Mendelian randomization study.
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Lee T, George CD, Jiang C, Asgari MM, Nijsten T, Pardo LM, and Choquet H
- Abstract
Background/purpose: Cutaneous squamous cell carcinoma (cSCC) is one of the most common malignancies worldwide. While several environmental risk factors for cSCC are well established, there is conflicting evidence on cigarette smoking (and its potential causal effect) and cSCC risk. Furthermore, it is unclear if these potential associations represent causal, modifiable risk factors for cSCC development. This study aims to assess the nature of the associations between cigarette smoking traits (smoking initiation, amount smoked, and lifetime smoking exposure) and cSCC risk using two-sample Mendelian randomization analyses., Methods: Genetic instruments, based on common genetic variants associated with cigarette smoking traits ( P < 5 × 10
-8 ), were derived from published genome-wide association studies (GWASs). For cSCC, we used GWAS summary statistics from the Kaiser Permanente GERA cohort (7701 cSCC cases and 60,167 controls; all non-Hispanic Whites)., Results: We found modest evidence that genetically determined lifetime smoking was associated with cSCC (inverse-variance weighted method: OR[95% CI] = 1.47[1.09-1.98]; P = .012), suggesting it may be a causal risk factor for cSCC. We did not detect any evidence of association between genetically determined smoking initiation or amount smoked and cSCC risk., Conclusion: Study findings highlight the importance of smoking prevention and may support risk-stratified cSCC screening strategies based on carcinogen exposure and other genetic and clinical information., Competing Interests: None disclosed., (© 2023 by the American Academy of Dermatology, Inc. Published by Elsevier Inc.)- Published
- 2023
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46. European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation.
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Budu-Aggrey A, Kilanowski A, Sobczyk MK, Shringarpure SS, Mitchell R, Reis K, Reigo A, Mägi R, Nelis M, Tanaka N, Brumpton BM, Thomas LF, Sole-Navais P, Flatley C, Espuela-Ortiz A, Herrera-Luis E, Lominchar JVT, Bork-Jensen J, Marenholz I, Arnau-Soler A, Jeong A, Fawcett KA, Baurecht H, Rodriguez E, Alves AC, Kumar A, Sleiman PM, Chang X, Medina-Gomez C, Hu C, Xu CJ, Qi C, El-Heis S, Titcombe P, Antoun E, Fadista J, Wang CA, Thiering E, Wu B, Kress S, Kothalawala DM, Kadalayil L, Duan J, Zhang H, Hadebe S, Hoffmann T, Jorgenson E, Choquet H, Risch N, Njølstad P, Andreassen OA, Johansson S, Almqvist C, Gong T, Ullemar V, Karlsson R, Magnusson PKE, Szwajda A, Burchard EG, Thyssen JP, Hansen T, Kårhus LL, Dantoft TM, Jeanrenaud ACSN, Ghauri A, Arnold A, Homuth G, Lau S, Nöthen MM, Hübner N, Imboden M, Visconti A, Falchi M, Bataille V, Hysi P, Ballardini N, Boomsma DI, Hottenga JJ, Müller-Nurasyid M, Ahluwalia TS, Stokholm J, Chawes B, Schoos AM, Esplugues A, Bustamante M, Raby B, Arshad S, German C, Esko T, Milani LA, Metspalu A, Terao C, Abuabara K, Løset M, Hveem K, Jacobsson B, Pino-Yanes M, Strachan DP, Grarup N, Linneberg A, Lee YA, Probst-Hensch N, Weidinger S, Jarvelin MR, Melén E, Hakonarson H, Irvine AD, Jarvis D, Nijsten T, Duijts L, Vonk JM, Koppelmann GH, Godfrey KM, Barton SJ, Feenstra B, Pennell CE, Sly PD, Holt PG, Williams LK, Bisgaard H, Bønnelykke K, Curtin J, Simpson A, Murray C, Schikowski T, Bunyavanich S, Weiss ST, Holloway JW, Min JL, Brown SJ, Standl M, and Paternoster L
- Subjects
- Humans, Genetic Predisposition to Disease genetics, Hispanic or Latino genetics, Black People, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Dermatitis, Atopic genetics
- Abstract
Atopic dermatitis (AD) is a common inflammatory skin condition and prior genome-wide association studies (GWAS) have identified 71 associated loci. In the current study we conducted the largest AD GWAS to date (discovery N = 1,086,394, replication N = 3,604,027), combining previously reported cohorts with additional available data. We identified 81 loci (29 novel) in the European-only analysis (which all replicated in a separate European analysis) and 10 additional loci in the multi-ancestry analysis (3 novel). Eight variants from the multi-ancestry analysis replicated in at least one of the populations tested (European, Latino or African), while two may be specific to individuals of Japanese ancestry. AD loci showed enrichment for DNAse I hypersensitivity and eQTL associations in blood. At each locus we prioritised candidate genes by integrating multi-omic data. The implicated genes are predominantly in immune pathways of relevance to atopic inflammation and some offer drug repurposing opportunities., (© 2023. Springer Nature Limited.)
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- 2023
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47. Association of Behavioral and Clinical Risk Factors With Cataract: A Two-Sample Mendelian Randomization Study.
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Jiang C, Melles RB, Sangani P, Hoffmann TJ, Hysi PG, Glymour MM, Jorgenson E, Lachke SA, and Choquet H
- Subjects
- Adult, Humans, Mendelian Randomization Analysis methods, Genome-Wide Association Study, Risk Factors, Polymorphism, Single Nucleotide, Diabetes Mellitus, Type 2, Glaucoma, Open-Angle, Myopia epidemiology, Myopia genetics, Cataract epidemiology, Cataract genetics
- Abstract
Purpose: To investigate the association of genetically determined primary open-angle glaucoma (POAG), myopic refractive error (RE), type 2 diabetes (T2D), blood pressure (BP), body mass index (BMI), cigarette smoking, and alcohol consumption with the risk of age-related cataract., Methods: To assess potential causal effects of clinical or behavioral factors on cataract risk, we conducted two-sample Mendelian randomization analyses. Genetic instruments, based on common genetic variants associated with risk factors at genome-wide significance (P < 5 × 10-8), were derived from published genome-wide association studies (GWAS). For age-related cataract, we used GWAS summary statistics from our previous GWAS conducted in the Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort (28,092 cataract cases and 50,487 controls; all non-Hispanic whites) or in the UK Biobank (31,852 cataract cases and 428,084 controls; all European-descent individuals). We used the inverse-variance weighted (IVW) method as our primary source of Mendelian randomization estimates and conducted common sensitivity analyses., Results: We found that genetically determined POAG and mean spherical equivalent RE were significantly associated with cataract risk (IVW model: odds ratio [OR] = 1.04; 95% confidence interval [CI], 1.01-1.08; P = 0.018; per diopter more hyperopic: OR = 0.92; 95% CI, 0.89-0.93; P = 6.51 × 10-13, respectively). In contrast, genetically determined T2D, BP, BMI, cigarette smoking, or alcohol consumption were not associated with cataract risk (P > 0.05)., Conclusions: Our results provide evidence that genetic risks for POAG and myopia may be causal risk factors for age-related cataract. These results are consistent with previous observational studies reporting associations of myopia with cataract risk. This information may support population cataract risk stratification and screening strategies.
- Published
- 2023
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48. Large-scale multitrait genome-wide association analyses identify hundreds of glaucoma risk loci.
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Han X, Gharahkhani P, Hamel AR, Ong JS, Rentería ME, Mehta P, Dong X, Pasutto F, Hammond C, Young TL, Hysi P, Lotery AJ, Jorgenson E, Choquet H, Hauser M, Cooke Bailey JN, Nakazawa T, Akiyama M, Shiga Y, Fuller ZL, Wang X, Hewitt AW, Craig JE, Pasquale LR, Mackey DA, Wiggs JL, Khawaja AP, Segrè AV, and MacGregor S
- Subjects
- Humans, Genome-Wide Association Study, Intraocular Pressure genetics, Optic Nerve, Polymorphism, Single Nucleotide genetics, Genetic Predisposition to Disease, Glaucoma, Open-Angle genetics, Glaucoma genetics
- Abstract
Glaucoma, a leading cause of irreversible blindness, is a highly heritable human disease. Previous genome-wide association studies have identified over 100 loci for the most common form, primary open-angle glaucoma. Two key glaucoma-associated traits also show high heritability: intraocular pressure and optic nerve head excavation damage quantified as the vertical cup-to-disc ratio. Here, since much of glaucoma heritability remains unexplained, we conducted a large-scale multitrait genome-wide association study in participants of European ancestry combining primary open-angle glaucoma and its two associated traits (total sample size over 600,000) to substantially improve genetic discovery power (263 loci). We further increased our power by then employing a multiancestry approach, which increased the number of independent risk loci to 312, with the vast majority replicating in a large independent cohort from 23andMe, Inc. (total sample size over 2.8 million; 296 loci replicated at P < 0.05, 240 after Bonferroni correction). Leveraging multiomics datasets, we identified many potential druggable genes, including neuro-protection targets likely to act via the optic nerve, a key advance for glaucoma because all existing drugs only target intraocular pressure. We further used Mendelian randomization and genetic correlation-based approaches to identify novel links to other complex traits, including immune-related diseases such as multiple sclerosis and systemic lupus erythematosus., (© 2023. The Author(s).)
- Published
- 2023
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49. Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine.
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Meyers TJ, Yin J, Herrera VA, Pressman AR, Hoffmann TJ, Schaefer C, Avins AL, and Choquet H
- Subjects
- Humans, Transcriptome genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Quantitative Trait Loci genetics, Membrane Proteins genetics, Phosphotransferases (Alcohol Group Acceptor) genetics, DNA Repair Enzymes genetics, Migraine Disorders genetics, DNA Glycosylases genetics
- Abstract
Genome-wide association studies (GWASs) have identified more than 130 genetic susceptibility loci for migraine; however, how most of these loci impact migraine development is unknown. To identify novel genes associated with migraine and interpret the transcriptional products of those genes, we conducted a transcriptome-wide association study (TWAS). We performed tissue-specific and multi-tissue TWAS analyses to assess associations between imputed gene expression from 53 tissues and migraine susceptibility using FUSION software. Meta-analyzed GWAS summary statistics from 26,052 migraine cases and 487,214 controls, all of European ancestry and from two cohorts (the Kaiser Permanente GERA and the UK Biobank), were used. We evaluated the associations for genes after conditioning on variant-level effects from GWAS, and we tested for colocalization of GWAS migraine-associated loci and expression quantitative trait loci (eQTLs). Across tissue-specific and multi-tissue analyses, we identified 53 genes for which genetically predicted gene expression was associated with migraine after correcting for multiple testing. Of these 53 genes, 10 ( ATF5 , CNTNAP1 , KTN1-AS1 , NEIL1 , NEK4 , NNT , PNKP , RUFY2 , TUBG2 , and VAT1 ) did not overlap known migraine-associated loci identified from GWAS. Tissue-specific analysis identified 45 gene-tissue pairs and cardiovascular tissues represented the highest proportion of the Bonferroni-significant gene-tissue pairs (n = 22 [49%]), followed by brain tissues (n = 6 [13%]), and gastrointestinal tissues (n = 4 [9%]). Colocalization analyses provided evidence of shared genetic variants underlying eQTL and GWAS signals in 18 of the gene-tissue pairs (40%). Our TWAS reports novel genes for migraine and highlights the important contribution of brain, cardiovascular, and gastrointestinal tissues in migraine susceptibility., Competing Interests: The authors declare no competing interests., (© 2023 The Author(s).)
- Published
- 2023
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50. A multiethnic genome-wide analysis of 19,420 individuals identifies novel loci associated with axial length and shared genetic influences with refractive error and myopia.
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Jiang C, Melles RB, Yin J, Fan Q, Guo X, Cheng CY, He M, Mackey DA, Guggenheim JA, Klaver C, Nair KS, Jorgenson E, and Choquet H
- Abstract
Introduction: Long axial length (AL) is a risk factor for myopia. Although family studies indicate that AL has an important genetic component with heritability estimates up to 0.94, there have been few reports of AL-associated loci. Methods: Here, we conducted a multiethnic genome-wide association study (GWAS) of AL in 19,420 adults of European, Latino, Asian, and African ancestry from the Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort, with replication in a subset of the Consortium for Refractive Error and Myopia (CREAM) cohorts of European or Asian ancestry. We further examined the effect of the identified loci on the mean spherical equivalent (MSE) within the GERA cohort. We also performed genome-wide genetic correlation analyses to quantify the genetic overlap between AL and MSE or myopia risk in the GERA European ancestry sample. Results: Our multiethnic GWA analysis of AL identified a total of 16 genomic loci, of which 5 are novel. We found that all AL-associated loci were significantly associated with MSE after Bonferroni correction. We also found that AL was genetically correlated with MSE (r
g = -0.83; SE, 0.04; p = 1.95 × 10-89 ) and myopia (rg = 0.80; SE, 0.05; p = 2.84 × 10-55 ). Finally, we estimated the array heritability for AL in the GERA European ancestry sample using LD score regression, and found an overall heritability estimate of 0.37 (s.e. = 0.04). Discussion: In this large and multiethnic study, we identified novel loci, associated with AL at a genome-wide significance level, increasing substantially our understanding of the etiology of AL variation. Our results also demonstrate an association between AL-associated loci and MSE and a shared genetic basis between AL and myopia risk., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Jiang, Melles, Yin, Fan, Guo, Cheng, He, Mackey, Guggenheim, Klaver, Nair, Jorgenson and Choquet.)- Published
- 2023
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