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3. Instrumenteren

Author

Duizendstra-Prins, B., Hogeveen, E., van Amerongen, Jan, Series Editor, Huizinga-Arp, Carolijn, Series Editor, Duizendstra-Prins, B., and Hogeveen, E.

Published
2018
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4. Assisteren bij diagnostiek

Author

Duizendstra-Prins, B., Hogeveen, E., van Amerongen, Jan, Series Editor, Huizinga-Arp, Carolijn, Series Editor, Duizendstra-Prins, B., and Hogeveen, E.

Published
2018
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6. Grootinstrumentarium

Author

Duizendstra-Prins, B., Hogeveen, E., van Amerongen, Jan, Series Editor, Huizinga-Arp, Carolijn, Series Editor, Duizendstra-Prins, B., and Hogeveen, E.

Published
2018
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7. Ergonomie

Author

Duizendstra-Prins, B., Hogeveen, E., van Amerongen, Jan, Series Editor, Huizinga-Arp, Carolijn, Series Editor, Duizendstra-Prins, B., and Hogeveen, E.

Published
2018
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9. De wettelijke basis

Author

Duizendstra-Prins, B., Hogeveen, E., van Amerongen, Jan, Series Editor, Huizinga-Arp, Carolijn, Series Editor, Duizendstra-Prins, B., and Hogeveen, E.

Published
2018
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12. Something from nothing: Sensitivity and specificity of Xpert MTB/RIF Ultra on contaminated liquid cultures for tuberculosis and rifampicin-resistance detection

Author

Ghebrekristos, YT, primary, Beylis, N, additional, Centner, CM, additional, Venter, R, additional, Derendinger, B, additional, Tshivhula, H, additional, Naidoo, S, additional, Alberts, R, additional, Prins, B, additional, Tokota, A, additional, Dolby, T, additional, Marx, FM, additional, Omar, SV, additional, Warren, R, additional, and Theron, G, additional

Published
2022
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13. Genetic landscape of the ACE2 coronavirus receptor

Author

Yang, Z, MacDonald-Dunlop, E, Chen, J, Zhai, R, Li, T, Richmond, A, Klaric, L, Pirastu, N, Ning, Z, Zheng, C, Wang, Y, Huang, T, He, Y, Guo, H, Ying, K, Gustafsson, S, Prins, B, Ramisch, A, Dermitzakis, ET, Png, G, Eriksson, N, Haessler, J, Hu, X, Zanetti, D, Boutin, T, Hwang, S-J, Wheeler, E, Pietzner, M, Raffield, LM, Kalnapenkis, A, Peters, JE, Viñuela, A, Gilly, A, Elmståhl, S, Dedoussis, G, Petrie, JR, Polašek, O, Folkersen, L, Chen, Y, Yao, C, Võsa, U, Pairo-Castineira, E, Clohisey, S, Bretherick, AD, Rawlik, K, Esko, T, Enroth, S, Johansson, Å, Gyllensten, U, Langenberg, C, Levy, D, Hayward, C, Assimes, TL, Kooperberg, C, Manichaikul, AW, Siegbahn, A, Wallentin, L, Lind, L, Zeggini, E, Schwenk, JM, Butterworth, AS, Michaëlsson, K, Pawitan, Y, Joshi, PK, Baillie, JK, Mälarstig, A, Reiner, AP, Wilson, JF, Shen, X, and GenOMICC Consortium and the IMI-DIRECT Consortium

Subjects
ANGIOTENSIN-CONVERTING ENZYME, Cardiac & Cardiovascular Systems, GenOMICC Consortium†, DATABASE, COVID, genetic, analysis, ALPHA-1-ANTITRYPSIN DEFICIENCY, 1117 Public Health and Health Services, angiotensin-converting enzyme 2, Physiology (medical), Humans, Cardiac and Cardiovascular Systems, 1102 Cardiorespiratory Medicine and Haematology, Medicinsk genetik, RISK, Kardiologi, Science & Technology, SARS-CoV-2, COVID-19, IMI-DIRECT Consortium†, 1103 Clinical Sciences, COVID-19/genetics, cardiovascular diseases, Angiotensin-Converting Enzyme 2/genetics, Cross-Sectional Studies, Peripheral Vascular Disease, Cardiovascular System & Hematology, Cardiovascular System & Cardiology, TRIAL, Cardiology and Cardiovascular Medicine, Medical Genetics, Life Sciences & Biomedicine, hormones, hormone substitutes, and hormone antagonists, Genome-Wide Association Study, Receptors, Coronavirus
Abstract

Background: SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the genetic basis of the ACE2 protein levels is not well understood. Methods: We have conducted the largest genome-wide association meta-analysis of plasma ACE2 levels in >28 000 individuals of the SCALLOP Consortium (Systematic and Combined Analysis of Olink Proteins). We summarize the cross-sectional epidemiological correlates of circulating ACE2. Using the summary statistics–based high-definition likelihood method, we estimate relevant genetic correlations with cardiometabolic phenotypes, COVID-19, and other human complex traits and diseases. We perform causal inference of soluble ACE2 on vascular disease outcomes and COVID-19 severity using mendelian randomization. We also perform in silico functional analysis by integrating with other types of omics data. Results: We identified 10 loci, including 8 novel, capturing 30% of the heritability of the protein. We detected that plasma ACE2 was genetically correlated with vascular diseases, severe COVID-19, and a wide range of human complex diseases and medications. An X-chromosome cis–protein quantitative trait loci–based mendelian randomization analysis suggested a causal effect of elevated ACE2 levels on COVID-19 severity (odds ratio, 1.63 [95% CI, 1.10–2.42]; P =0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05–2.21]; P =0.03), and infection (odds ratio, 1.60 [95% CI, 1.08–2.37]; P =0.02). Tissue- and cell type–specific transcriptomic and epigenomic analysis revealed that the ACE2 regulatory variants were enriched for DNA methylation sites in blood immune cells. Conclusions: Human plasma ACE2 shares a genetic basis with cardiovascular disease, COVID-19, and other related diseases. The genetic architecture of the ACE2 protein is mapped, providing a useful resource for further biological and clinical studies on this coronavirus receptor.

Published
2022
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14. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author

Surendran, P., Feofanova, E. V., Lahrouchi, N., Ntalla, I., Karthikeyan, S., Cook, J., Chen, L., Mifsud, B., Yao, C., Kraja, A. T., Cartwright, J. H., Hellwege, J. N., Giri, A., Tragante, V., Thorleifsson, G., Liu, D. J., Prins, B. P., Stewart, I. D., Cabrera, C. P., Eales, J. M., Akbarov, A., Auer, P. L., Bielak, L. F., Bis, J. C., Braithwaite, V. S., Brody, J. A., Daw, E. W., Warren, H. R., Drenos, F., Nielsen, S. F., Faul, J. D., Fauman, E. B., Fava, C., Ferreira, T., Foley, C. N., Franceschini, N., Gao, H., Giannakopoulou, O., Giulianini, F., Gudbjartsson, D. F., Guo, X., Harris, S. E., Havulinna, A. S., Helgadottir, A., Huffman, J. E., Hwang, S. -J., Kanoni, S., Kontto, J., Larson, M. G., Li-Gao, R., Lindstrom, J., Lotta, L. A., Lu, Y., Luan, J., Mahajan, A., Malerba, G., Masca, N. G. D., Mei, H., Menni, C., Mook-Kanamori, D. O., Mosen-Ansorena, D., Muller-Nurasyid, M., Pare, G., Paul, D. S., Perola, M., Poveda, A., Rauramaa, R., Richard, M., Richardson, T. G., Sepulveda, N., Sim, X., Smith, A. V., Smith, J. A., Staley, J. R., Stanakova, A., Sulem, P., Theriault, S., Thorsteinsdottir, U., Trompet, S., Varga, T. V., Velez Edwards, D. R., Veronesi, G., Weiss, S., Willems, S. M., Yao, J., Young, R., Yu, B., Zhang, W., Zhao, J. -H., Zhao, W., Evangelou, E., Aeschbacher, S., Asllanaj, E., Blankenberg, S., Bonnycastle, L. L., Bork-Jensen, J., Brandslund, I., Braund, P. S., Burgess, S., Cho, K., Christensen, C., Connell, J., Mutsert, R., Dominiczak, A. F., Dorr, M., Eiriksdottir, G., Farmaki, A. -E., Gaziano, J. M., Grarup, N., Grove, M. L., Hallmans, G., Hansen, T., Have, C. T., Heiss, G., Jorgensen, M. E., Jousilahti, P., Kajantie, E., Kamat, M., Karajamaki, A. M., Karpe, F., Koistinen, H. A., Kovesdy, C. P., Kuulasmaa, K., Laatikainen, T., Lannfelt, L., Lee, I. -T., Lee, W. -J., de Boer, R. A., van der Harst, P., van der Meer, P., Verweij, N., Linneberg, A., Martin, L. W., Moitry, M., Nadkarni, G., Neville, M. J., Palmer, C. N. A., Papanicolaou, G. J., Pedersen, O., Peters, J., Poulter, N., Rasheed, A., Rasmussen, K. L., Rayner, N. W., Magi, R., Renstrom, F., Rettig, R., Rossouw, J., Schreiner, P. J., Sever, P. S., Sigurdsson, E. L., Skaaby, T., Sun, Y. V., Sundstrom, J., Thorgeirsson, G., Esko, T., Trabetti, E., Tsao, P. S., Tuomi, T., Turner, S. T., Tzoulaki, I., Vaartjes, I., Vergnaud, A. -C., Willer, C. J., Wilson, P. W. F., Witte, D. R., Yonova-Doing, E., Zhang, H., Aliya, N., Almgren, P., Amouyel, P., Asselbergs, F. W., Barnes, M. R., Blakemore, A. I., Boehnke, M., Bots, M. L., Bottinger, E. P., Buring, J. E., Chambers, J. C., Chen, Y. -D. I., Chowdhury, R., Conen, D., Correa, A., Davey Smith, G., Boer, R. A., Deary, I. J., Dedoussis, G., Deloukas, P., Di Angelantonio, E., Elliott, P., Butterworth, A. S., Danesh, J., Langenberg, C., Mccarthy, M. I., Franks, P. W., Rolandsson, O., Wareham, N. J., Felix, S. B., Ferrieres, J., Ford, I., Fornage, M., Franks, S., Frossard, P., Gambaro, G., Gaunt, T. R., Groop, L., Gudnason, V., Harris, T. B., Hayward, C., Hennig, B. J., Herzig, K. -H., Ingelsson, E., Tuomilehto, J., Jarvelin, M. -R., Jukema, J. W., Kardia, S. L. R., Kee, F., Kooner, J. S., Kooperberg, C., Launer, L. J., Lind, L., Loos, R. J. F., Majumder, A. S., Laakso, M., Melander, O., Mohlke, K. L., Murray, A. D., Nordestgaard, B. G., Orho-Melander, M., Packard, C. J., Padmanabhan, S., Palmas, W., Polasek, O., Porteous, D. J., Prentice, A. M., Province, M. A., Relton, C. L., Rice, K., Ridker, P. M., Rosendaal, F. R., Rotter, J. I., Rudan, I., Salomaa, V., Samani, N. J., Sattar, N., Sheu, W. H. -H., Smith, B. H., Soranzo, N., Spector, T. D., Starr, J. M., Sebert, S., Taylor, K. D., Lakka, T. A., Timpson, N. J., Tobin, M. D., Zeggini, E., Ramachandran, V. S., Virtamo, J., Volker, U., Weir, D. R., Charchar, F. J., Edwards, D. R. V., Edwards, T. L., Hung, A. M., O'Donnell, C. J., Tomaszewski, M., Caulfield, M. J., Holm, H., Lindgren, C. M., Liu, C., Manning, A. K., Morris, A. P., Morrison, A. C., Psaty, B. M., Saleheen, D., Stefansson, K., Boerwinkle, E., Chasman, D. I., Levy, D., Newton-Cheh, C., Munroe, P. B., Howson, J. M. M., Home Office, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), UNIVERSITY OF OULU, Epidemiology, Complex Disease Genetics, Research Programs Unit, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, HUS Children and Adolescents, Lastentautien yksikkö, Clinicum, Children's Hospital, Helsinki University Hospital Area, HUS Internal Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry and Developmental Biology, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Endokrinologian yksikkö, Department of Public Health, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Feofanova, Elena V [0000-0003-1428-7199], Chasman, Daniel I [0000-0003-3357-0862], Munroe, Patricia B [0000-0002-4176-2947], Howson, Joanna MM [0000-0001-7618-0050], Apollo - University of Cambridge Repository, Cardiology, and ACS - Heart failure & arrhythmias

Subjects
Candidate gene, Blood Pressure, GATA5 Transcription Factor, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Hypertension, Mutation, Phospholipase C beta, Polymorphism, Single Nucleotide, LOCI, Genome-wide association study, 0302 clinical medicine, Polymorphism (computer science), genetics, GENOME-WIDE ASSOCIATION, MENDELIAN RANDOMIZATION, COMMON VARIANTS, IDENTIFIES COMMON, RISK, FREQUENCY, TRAITS, HYPERTENSION, GENETICS, EPIC-CVD, 11 Medical and Health Sciences, health care economics and organizations, Genetics & Heredity, Genetics, 0303 health sciences, Million Veteran Program, 1184 Genetics, developmental biology, physiology, Single Nucleotide, humanities, 3. Good health, genetic association study, EPIC-InterAct, epidemiology, Life Sciences & Biomedicine, Understanding Society Scientific Group, hypertension, education, Biology, Article, 03 medical and health sciences, Mendelian randomization, Polymorphism, Allele frequency, Gene, 030304 developmental biology, Science & Technology, 06 Biological Sciences, meta-analysis, Minor allele frequency, genome-wide association studies, 3111 Biomedicine, 030217 neurology & neurosurgery, LifeLines Cohort Study, Developmental Biology
Abstract

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P

Published
2020
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15. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals

Author

Folkersen, L., Gustafsson, S., Wang, Q., Hansen, D.H., Hedman, Å.K., Schork, A., Page, K., Zhernakova, D.V., Wu, Y., Peters, J., Eriksson, N., Bergen, S.E., Boutin, T.S., Bretherick, A.D., Enroth, S., Kalnapenkis, A., Gådin, J.R., Suur, B.E., Chen, Y., Matic, L., Gale, J.D., Lee, J., Zhang, W., Quazi, A., Ala-Korpela, M., Choi, S.H., Claringbould, A., Danesh, J., Davey Smith, G., de Masi, F., Elmståhl, S., Engström, G., Fauman, E., Fernandez, C., Franke, L., Franks, P.W., Giedraitis, V., Haley, C., Hamsten, A., Ingason, A., Johansson, Å., Joshi, P.K., Lind, L., Lindgren, C.M., Lubitz, S., Palmer, T., Macdonald-Dunlop, E., Magnusson, M., Melander, O., Michaelsson, K., Morris, A.P., Mägi, R., Nagle, M.W., Nilsson, P.M., Nilsson, J., Orho-Melander, M., Polasek, O., Prins, B., Pålsson, E., Qi, T., Sjögren, M., Sundström, J., Surendran, P., Võsa, U., Werge, T., Wernersson, R., Westra, H.-J., Yang, J., Zhernakova, A., Ärnlöv, J., Fu, J., Smith, J.G., Esko, T., Hayward, C., Gyllensten, U., Landen, M., Siegbahn, A., Wilson, J.F., Wallentin, L., Butterworth, A.S., Holmes, M.V., Ingelsson, E., Mälarstig, A., Folkersen, L., Gustafsson, S., Wang, Q., Hansen, D.H., Hedman, Å.K., Schork, A., Page, K., Zhernakova, D.V., Wu, Y., Peters, J., Eriksson, N., Bergen, S.E., Boutin, T.S., Bretherick, A.D., Enroth, S., Kalnapenkis, A., Gådin, J.R., Suur, B.E., Chen, Y., Matic, L., Gale, J.D., Lee, J., Zhang, W., Quazi, A., Ala-Korpela, M., Choi, S.H., Claringbould, A., Danesh, J., Davey Smith, G., de Masi, F., Elmståhl, S., Engström, G., Fauman, E., Fernandez, C., Franke, L., Franks, P.W., Giedraitis, V., Haley, C., Hamsten, A., Ingason, A., Johansson, Å., Joshi, P.K., Lind, L., Lindgren, C.M., Lubitz, S., Palmer, T., Macdonald-Dunlop, E., Magnusson, M., Melander, O., Michaelsson, K., Morris, A.P., Mägi, R., Nagle, M.W., Nilsson, P.M., Nilsson, J., Orho-Melander, M., Polasek, O., Prins, B., Pålsson, E., Qi, T., Sjögren, M., Sundström, J., Surendran, P., Võsa, U., Werge, T., Wernersson, R., Westra, H.-J., Yang, J., Zhernakova, A., Ärnlöv, J., Fu, J., Smith, J.G., Esko, T., Hayward, C., Gyllensten, U., Landen, M., Siegbahn, A., Wilson, J.F., Wallentin, L., Butterworth, A.S., Holmes, M.V., Ingelsson, E., and Mälarstig, A.

Abstract

Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. Here, we map and replicate protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, resulting in 451 pQTLs for 85 proteins. For each protein, we further perform pathway mapping to obtain trans-pQTL gene and regulatory designations. We substantiate these regulatory findings with orthogonal evidence for trans-pQTLs using mouse knockdown experiments (ABCA1 and TRIB1) and clinical trial results (chemokine receptors CCR2 and CCR5), with consistent regulation. Finally, we evaluate known drug targets, and suggest new target candidates or repositioning opportunities using Mendelian randomization. This identifies 11 proteins with causal evidence of involvement in human disease that have not previously been targeted, including EGF, IL-16, PAPPA, SPON1, F3, ADM, CASP-8, CHI3L1, CXCL16, GDF15 and MMP-12. Taken together, these findings demonstrate the utility of large-scale mapping of the genetics of the proteome and provide a resource for future precision studies of circulating proteins in human health.

Published
2020

16. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author

Surendran, P. (Praveen), Feofanova, E. V. (Elena, V), Lahrouchi, N. (Najim), Ntalla, I. (Ioanna), Karthikeyan, S. (Savita), Cook, J. (James), Chen, L. (Lingyan), Mifsud, B. (Borbala), Yao, C. (Chen), Kraja, A. T. (Aldi T.), Cartwright, J. H. (James H.), Hellwege, J. N. (Jacklyn N.), Giri, A. (Ayush), Tragante, V. (Vinicius), Thorleifsson, G. (Gudmar), Liu, D. J. (Dajiang J.), Prins, B. P. (Bram P.), Stewart, I. D. (Isobel D.), Cabrera, C. P. (Claudia P.), Eales, J. M. (James M.), Akbarov, A. (Artur), Auer, P. L. (Paul L.), Bielak, L. F. (Lawrence F.), Bis, J. C. (Joshua C.), Braithwaite, V. S. (Vickie S.), Brody, J. A. (Jennifer A.), Daw, E. W. (E. Warwick), Warren, H. R. (Helen R.), Drenos, F. (Fotios), Nielsen, S. F. (Sune Fallgaard), Faul, J. D. (Jessica D.), Fauman, E. B. (Eric B.), Fava, C. (Cristiano), Ferreira, T. (Teresa), Foley, C. N. (Christopher N.), Franceschini, N. (Nora), Gao, H. (He), Giannakopoulou, O. (Olga), Giulianini, F. (Franco), Gudbjartsson, D. F. (Daniel F.), Guo, X. (Xiuqing), Harris, S. E. (Sarah E.), Havulinna, A. S. (Aki S.), Helgadottir, A. (Anna), Huffman, J. E. (Jennifer E.), Hwang, S.-J. (Shih-Jen), Kanoni, S. (Stavroula), Kontto, J. (Jukka), Larson, M. G. (Martin G.), Li-Gao, R. (Ruifang), Lindstrom, J. (Jaana), Lotta, L. A. (Luca A.), Lu, Y. (Yingchang), Luan, J. (Jian'an), Mahajan, A. (Anubha), Malerba, G. (Giovanni), Masca, N. G. (Nicholas G. D.), Mei, H. (Hao), Menni, C. (Cristina), Mook-Kanamori, D. O. (Dennis O.), Mosen-Ansorena, D. (David), Muller-Nurasyid, M. (Martina), Pare, G. (Guillaume), Paul, D. S. (Dirk S.), Perola, M. (Markus), Poveda, A. (Alaitz), Rauramaa, R. (Rainer), Richard, M. (Melissa), Richardson, T. G. (Tom G.), Sepulveda, N. (Nuno), Sim, X. (Xueling), Smith, A. V. (Albert, V), Smith, J. A. (Jennifer A.), Staley, J. R. (James R.), Stanakova, A. (Alena), Sulem, P. (Patrick), Theriault, S. (Sebastien), Thorsteinsdottir, U. (Unnur), Trompet, S. (Stella), Varga, T. V. (Tibor V.), Edwards, D. R. (Digna R. Velez), Veronesi, G. (Giovanni), Weiss, S. (Stefan), Willems, S. M. (Sara M.), Yao, J. (Jie), Young, R. (Robin), Yu, B. (Bing), Zhang, W. (Weihua), Zhao, J.-H. (Jing-Hua), Zhao, W. (Wei), Evangelou, E. (Evangelos), Aeschbacher, S. (Stefanie), Asllanaj, E. (Eralda), Blankenberg, S. (Stefan), Bonnycastle, L. L. (Lori L.), Bork-Jensen, J. (Jette), Brandslund, I. (Ivan), Braund, P. S. (Peter S.), Burgess, S. (Stephen), Cho, K. (Kelly), Christensen, C. (Cramer), Connell, J. (John), de Mutsert, R. (Renee), Dominiczak, A. F. (Anna F.), Dorr, M. (Marcus), Eiriksdottir, G. (Gudny), Farmaki, A.-E. (Aliki-Eleni), Gaziano, J. M. (J. Michael), Grarup, N. (Niels), Grove, M. L. (Megan L.), Hallmans, G. (Goran), Hansen, T. (Torben), Have, C. T. (Christian T.), Heiss, G. (Gerardo), Jorgensen, M. E. (Marit E.), Jousilahti, P. (Pekka), Kajantie, E. (Eero), Kamat, M. (Mihir), Karajamaki, A. (AnneMari), Karpe, F. (Fredrik), Koistinen, H. A. (Heikki A.), Kovesdy, C. P. (Csaba P.), Kuulasmaa, K. (Kari), Laatikainen, T. (Tiina), Lannfelt, L. (Lars), Lee, I.-T. (I-Te), Lee, W.-J. (Wen-Jane), Linneberg, A. (Allan), Martin, L. W. (Lisa W.), Moitry, M. (Marie), Nadkarni, G. (Girish), Neville, M. J. (Matt J.), Palmer, C. N. (Colin N. A.), Papanicolaou, G. J. (George J.), Pedersen, O. (Oluf), Peters, J. (James), Poulter, N. (Neil), Rasheed, A. (Asif), Rasmussen, K. L. (Katrine L.), Rayner, N. W. (N. William), Magi, R. (Reedik), Renstrom, F. (Frida), Rettig, R. (Rainer), Rossouw, J. (Jacques), Schreiner, P. J. (Pamela J.), Sever, P. S. (Peter S.), Sigurdsson, E. L. (Emil L.), Skaaby, T. (Tea), Sun, Y. V. (Yan, V), Sundstrom, J. (Johan), Thorgeirsson, G. (Gudmundur), Esko, T. (Tonu), Trabetti, E. (Elisabetta), Tsao, P. S. (Philip S.), Tuomi, T. (Tiinamaija), Turner, S. T. (Stephen T.), Tzoulaki, I. (Ioanna), Vaartjes, I. (Ilonca), Vergnaud, A.-C. (Anne-Claire), Willer, C. J. (Cristen J.), Wilson, P. W. (Peter W. F.), Witte, D. R. (Daniel R.), Yonova-Doing, E. (Ekaterina), Zhang, H. (He), Aliya, N. (Naheed), Almgren, P. (Peter), Amouyel, P. (Philippe), Asselbergs, F. W. (Folkert W.), Barnes, M. R. (Michael R.), Blakemore, A. I. (Alexandra, I), Boehnke, M. (Michael), Bots, M. L. (Michiel L.), Bottinger, E. P. (Erwin P.), Buring, J. E. (Julie E.), Chambers, J. C. (John C.), Chen, Y. I. (Yii-Der Ida), Chowdhury, R. (Rajiv), Conen, D. (David), Correa, A. (Adolfo), Smith, G. D. (George Davey), de Boer, R. A. (Rudolf A.), Deary, I. J. (Ian J.), Dedoussis, G. (George), Deloukas, P. (Panos), Di Angelantonio, E. (Emanuele), Elliott, P. (Paul), Felix, S. B. (Stephan B.), Ferrieres, J. (Jean), Ford, I. (Ian), Fornage, M. (Myriam), Franks, P. W. (Paul W.), Franks, S. (Stephen), Frossard, P. (Philippe), Gambaro, G. (Giovanni), Gaunt, T. R. (Tom R.), Groop, L. (Leif), Gudnason, V. (Vilmundur), Harris, T. B. (Tamara B.), Hayward, C. (Caroline), Hennig, B. J. (Branwen J.), Herzig, K.-H. (Karl-Heinz), Ingelsson, E. (Erik), Tuomilehto, J. (Jaakko), Järvelin, M.-R. (Marjo-Riitta), Jukema, J. W. (J. Wouter), Kardia, S. L. (Sharon L. R.), Kee, F. (Frank), Kooner, J. S. (Jaspal S.), Kooperberg, C. (Charles), Launer, L. J. (Lenore J.), Lind, L. (Lars), Loos, R. J. (Ruth J. F.), Majumder, A. A. (Abdulla Al Shafi), Laakso, M. (Markku), McCarthy, M. I. (Mark, I), Melander, O. (Olle), Mohlke, K. L. (Karen L.), Murray, A. D. (Alison D.), Nordestgaard, B. G. (Borge Gronne), Orho-Melander, M. (Marju), Packard, C. J. (Chris J.), Padmanabhan, S. (Sandosh), Palmas, W. (Walter), Polasek, O. (Ozren), Porteous, D. J. (David J.), Prentice, A. M. (Andrew M.), Province, M. A. (Michael A.), Relton, C. L. (Caroline L.), Rice, K. (Kenneth), Ridker, P. M. (Paul M.), Rolandsson, O. (Olov), Rosendaal, F. R. (Frits R.), Rotter, J. I. (Jerome, I), Rudan, I. (Igor), Salomaa, V. (Veikko), Samani, N. J. (Nilesh J.), Sattar, N. (Naveed), Sheu, W. H. (Wayne H-H), Smith, B. H. (Blair H.), Soranzo, N. (Nicole), Spector, T. D. (Timothy D.), Starr, J. M. (John M.), Sebert, S. (Sylvain), Taylor, K. D. (Kent D.), Lakka, T. A. (Timo A.), Timpson, N. J. (Nicholas J.), Tobin, M. D. (Martin D.), van der Harst, P. (Pim), van der Meer, P. (Peter), Ramachandran, V. S. (Vasan S.), Verweij, N. (Niek), Virtamo, J. (Jarmo), Volker, U. (Uwe), Weir, D. R. (David R.), Zeggini, E. (Eleftheria), Charchar, F. J. (Fadi J.), Wareham, N. J. (Nicholas J.), Langenberg, C. (Claudia), Tomaszewski, M. (Maciej), Butterworth, A. S. (Adam S.), Caulfield, M. J. (Mark J.), Danesh, J. (John), Edwards, T. L. (Todd L.), Holm, H. (Hilma), Hung, A. M. (Adriana M.), Lindgren, C. M. (Cecilia M.), Liu, C. (Chunyu), Manning, A. K. (Alisa K.), Morris, A. P. (Andrew P.), Morrison, A. C. (Alanna C.), O'Donnell, C. J. (Christopher J.), Psaty, B. M. (Bruce M.), Saleheen, D. (Danish), Stefansson, K. (Kari), Boerwinkle, E. (Eric), Chasman, D. I. (Daniel, I), Levy, D. (Daniel), Newton-Cheh, C. (Christopher), Munroe, P. B. (Patricia B.), Howson, J. M. (Joanna M. M.), Surendran, P. (Praveen), Feofanova, E. V. (Elena, V), Lahrouchi, N. (Najim), Ntalla, I. (Ioanna), Karthikeyan, S. (Savita), Cook, J. (James), Chen, L. (Lingyan), Mifsud, B. (Borbala), Yao, C. (Chen), Kraja, A. T. (Aldi T.), Cartwright, J. H. (James H.), Hellwege, J. N. (Jacklyn N.), Giri, A. (Ayush), Tragante, V. (Vinicius), Thorleifsson, G. (Gudmar), Liu, D. J. (Dajiang J.), Prins, B. P. (Bram P.), Stewart, I. D. (Isobel D.), Cabrera, C. P. (Claudia P.), Eales, J. M. (James M.), Akbarov, A. (Artur), Auer, P. L. (Paul L.), Bielak, L. F. (Lawrence F.), Bis, J. C. (Joshua C.), Braithwaite, V. S. (Vickie S.), Brody, J. A. (Jennifer A.), Daw, E. W. (E. Warwick), Warren, H. R. (Helen R.), Drenos, F. (Fotios), Nielsen, S. F. (Sune Fallgaard), Faul, J. D. (Jessica D.), Fauman, E. B. (Eric B.), Fava, C. (Cristiano), Ferreira, T. (Teresa), Foley, C. N. (Christopher N.), Franceschini, N. (Nora), Gao, H. (He), Giannakopoulou, O. (Olga), Giulianini, F. (Franco), Gudbjartsson, D. F. (Daniel F.), Guo, X. (Xiuqing), Harris, S. E. (Sarah E.), Havulinna, A. S. (Aki S.), Helgadottir, A. (Anna), Huffman, J. E. (Jennifer E.), Hwang, S.-J. (Shih-Jen), Kanoni, S. (Stavroula), Kontto, J. (Jukka), Larson, M. G. (Martin G.), Li-Gao, R. (Ruifang), Lindstrom, J. (Jaana), Lotta, L. A. (Luca A.), Lu, Y. (Yingchang), Luan, J. (Jian'an), Mahajan, A. (Anubha), Malerba, G. (Giovanni), Masca, N. G. (Nicholas G. D.), Mei, H. (Hao), Menni, C. (Cristina), Mook-Kanamori, D. O. (Dennis O.), Mosen-Ansorena, D. (David), Muller-Nurasyid, M. (Martina), Pare, G. (Guillaume), Paul, D. S. (Dirk S.), Perola, M. (Markus), Poveda, A. (Alaitz), Rauramaa, R. (Rainer), Richard, M. (Melissa), Richardson, T. G. (Tom G.), Sepulveda, N. (Nuno), Sim, X. (Xueling), Smith, A. V. (Albert, V), Smith, J. A. (Jennifer A.), Staley, J. R. (James R.), Stanakova, A. (Alena), Sulem, P. (Patrick), Theriault, S. (Sebastien), Thorsteinsdottir, U. (Unnur), Trompet, S. (Stella), Varga, T. V. (Tibor V.), Edwards, D. R. (Digna R. Velez), Veronesi, G. (Giovanni), Weiss, S. (Stefan), Willems, S. M. (Sara M.), Yao, J. (Jie), Young, R. (Robin), Yu, B. (Bing), Zhang, W. (Weihua), Zhao, J.-H. (Jing-Hua), Zhao, W. (Wei), Evangelou, E. (Evangelos), Aeschbacher, S. (Stefanie), Asllanaj, E. (Eralda), Blankenberg, S. (Stefan), Bonnycastle, L. L. (Lori L.), Bork-Jensen, J. (Jette), Brandslund, I. (Ivan), Braund, P. S. (Peter S.), Burgess, S. (Stephen), Cho, K. (Kelly), Christensen, C. (Cramer), Connell, J. (John), de Mutsert, R. (Renee), Dominiczak, A. F. (Anna F.), Dorr, M. (Marcus), Eiriksdottir, G. (Gudny), Farmaki, A.-E. (Aliki-Eleni), Gaziano, J. M. (J. Michael), Grarup, N. (Niels), Grove, M. L. (Megan L.), Hallmans, G. (Goran), Hansen, T. (Torben), Have, C. T. (Christian T.), Heiss, G. (Gerardo), Jorgensen, M. E. (Marit E.), Jousilahti, P. (Pekka), Kajantie, E. (Eero), Kamat, M. (Mihir), Karajamaki, A. (AnneMari), Karpe, F. (Fredrik), Koistinen, H. A. (Heikki A.), Kovesdy, C. P. (Csaba P.), Kuulasmaa, K. (Kari), Laatikainen, T. (Tiina), Lannfelt, L. (Lars), Lee, I.-T. (I-Te), Lee, W.-J. (Wen-Jane), Linneberg, A. (Allan), Martin, L. W. (Lisa W.), Moitry, M. (Marie), Nadkarni, G. (Girish), Neville, M. J. (Matt J.), Palmer, C. N. (Colin N. A.), Papanicolaou, G. J. (George J.), Pedersen, O. (Oluf), Peters, J. (James), Poulter, N. (Neil), Rasheed, A. (Asif), Rasmussen, K. L. (Katrine L.), Rayner, N. W. (N. William), Magi, R. (Reedik), Renstrom, F. (Frida), Rettig, R. (Rainer), Rossouw, J. (Jacques), Schreiner, P. J. (Pamela J.), Sever, P. S. (Peter S.), Sigurdsson, E. L. (Emil L.), Skaaby, T. (Tea), Sun, Y. V. (Yan, V), Sundstrom, J. (Johan), Thorgeirsson, G. (Gudmundur), Esko, T. (Tonu), Trabetti, E. (Elisabetta), Tsao, P. S. (Philip S.), Tuomi, T. (Tiinamaija), Turner, S. T. (Stephen T.), Tzoulaki, I. (Ioanna), Vaartjes, I. (Ilonca), Vergnaud, A.-C. (Anne-Claire), Willer, C. J. (Cristen J.), Wilson, P. W. (Peter W. F.), Witte, D. R. (Daniel R.), Yonova-Doing, E. (Ekaterina), Zhang, H. (He), Aliya, N. (Naheed), Almgren, P. (Peter), Amouyel, P. (Philippe), Asselbergs, F. W. (Folkert W.), Barnes, M. R. (Michael R.), Blakemore, A. I. (Alexandra, I), Boehnke, M. (Michael), Bots, M. L. (Michiel L.), Bottinger, E. P. (Erwin P.), Buring, J. E. (Julie E.), Chambers, J. C. (John C.), Chen, Y. I. (Yii-Der Ida), Chowdhury, R. (Rajiv), Conen, D. (David), Correa, A. (Adolfo), Smith, G. D. (George Davey), de Boer, R. A. (Rudolf A.), Deary, I. J. (Ian J.), Dedoussis, G. (George), Deloukas, P. (Panos), Di Angelantonio, E. (Emanuele), Elliott, P. (Paul), Felix, S. B. (Stephan B.), Ferrieres, J. (Jean), Ford, I. (Ian), Fornage, M. (Myriam), Franks, P. W. (Paul W.), Franks, S. (Stephen), Frossard, P. (Philippe), Gambaro, G. (Giovanni), Gaunt, T. R. (Tom R.), Groop, L. (Leif), Gudnason, V. (Vilmundur), Harris, T. B. (Tamara B.), Hayward, C. (Caroline), Hennig, B. J. (Branwen J.), Herzig, K.-H. (Karl-Heinz), Ingelsson, E. (Erik), Tuomilehto, J. (Jaakko), Järvelin, M.-R. (Marjo-Riitta), Jukema, J. W. (J. Wouter), Kardia, S. L. (Sharon L. R.), Kee, F. (Frank), Kooner, J. S. (Jaspal S.), Kooperberg, C. (Charles), Launer, L. J. (Lenore J.), Lind, L. (Lars), Loos, R. J. (Ruth J. F.), Majumder, A. A. (Abdulla Al Shafi), Laakso, M. (Markku), McCarthy, M. I. (Mark, I), Melander, O. (Olle), Mohlke, K. L. (Karen L.), Murray, A. D. (Alison D.), Nordestgaard, B. G. (Borge Gronne), Orho-Melander, M. (Marju), Packard, C. J. (Chris J.), Padmanabhan, S. (Sandosh), Palmas, W. (Walter), Polasek, O. (Ozren), Porteous, D. J. (David J.), Prentice, A. M. (Andrew M.), Province, M. A. (Michael A.), Relton, C. L. (Caroline L.), Rice, K. (Kenneth), Ridker, P. M. (Paul M.), Rolandsson, O. (Olov), Rosendaal, F. R. (Frits R.), Rotter, J. I. (Jerome, I), Rudan, I. (Igor), Salomaa, V. (Veikko), Samani, N. J. (Nilesh J.), Sattar, N. (Naveed), Sheu, W. H. (Wayne H-H), Smith, B. H. (Blair H.), Soranzo, N. (Nicole), Spector, T. D. (Timothy D.), Starr, J. M. (John M.), Sebert, S. (Sylvain), Taylor, K. D. (Kent D.), Lakka, T. A. (Timo A.), Timpson, N. J. (Nicholas J.), Tobin, M. D. (Martin D.), van der Harst, P. (Pim), van der Meer, P. (Peter), Ramachandran, V. S. (Vasan S.), Verweij, N. (Niek), Virtamo, J. (Jarmo), Volker, U. (Uwe), Weir, D. R. (David R.), Zeggini, E. (Eleftheria), Charchar, F. J. (Fadi J.), Wareham, N. J. (Nicholas J.), Langenberg, C. (Claudia), Tomaszewski, M. (Maciej), Butterworth, A. S. (Adam S.), Caulfield, M. J. (Mark J.), Danesh, J. (John), Edwards, T. L. (Todd L.), Holm, H. (Hilma), Hung, A. M. (Adriana M.), Lindgren, C. M. (Cecilia M.), Liu, C. (Chunyu), Manning, A. K. (Alisa K.), Morris, A. P. (Andrew P.), Morrison, A. C. (Alanna C.), O'Donnell, C. J. (Christopher J.), Psaty, B. M. (Bruce M.), Saleheen, D. (Danish), Stefansson, K. (Kari), Boerwinkle, E. (Eric), Chasman, D. I. (Daniel, I), Levy, D. (Daniel), Newton-Cheh, C. (Christopher), Munroe, P. B. (Patricia B.), and Howson, J. M. (Joanna M. M.)

Abstract

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to similar to 1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 x 10(⁻⁸)), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were similar to 8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets., Correction A Publisher Correction to this article was published on 16 March 2021.

Published
2020

17. Genome wide association study of circulating interleukin 6 levels identifies novel loci

Author

Ahluwalia, T. S., Armstrong, N. J., Aslibekyan, S., Beekman, M., Cheng, Y., deGeus, E., Delgado, G. E., Marek, D., Kanoni, S., Nolte, I. M., Porcu, E., Seppala, I., Standl, M., Teumer, A., Thalamuthu, A., Trompet, S., Benjamin, E. J., Feitosa, M. F., Homuth, G., Lahti, J., Liu, Y., Timpson, N. J., Visvikis-Siest, S., Voelker, U., Baune, B. T., Boomsma, D., Deary, I. J., Evans, D. M., Ferreira, M. A., Gaunt, T., Gudnason, V., Hamsten, A., Humphries, S. E., Koeing, W., Kumari, M., Lawlor, D. A., Nauck, M., Price, J. F., Sorensen, T. I. A., Stacey, D., Stathopoulou, M. G., Tanaka, T., Wannamethee, S. G., Rotter, J. I., Dehghan, A., Boerwinkle, E., Sneider, H., Psaty, B. M., Prins, B. P., Alizadeh, B. Z., Ahluwalia, T. S., Armstrong, N. J., Aslibekyan, S., Beekman, M., Cheng, Y., deGeus, E., Delgado, G. E., Marek, D., Kanoni, S., Nolte, I. M., Porcu, E., Seppala, I., Standl, M., Teumer, A., Thalamuthu, A., Trompet, S., Benjamin, E. J., Feitosa, M. F., Homuth, G., Lahti, J., Liu, Y., Timpson, N. J., Visvikis-Siest, S., Voelker, U., Baune, B. T., Boomsma, D., Deary, I. J., Evans, D. M., Ferreira, M. A., Gaunt, T., Gudnason, V., Hamsten, A., Humphries, S. E., Koeing, W., Kumari, M., Lawlor, D. A., Nauck, M., Price, J. F., Sorensen, T. I. A., Stacey, D., Stathopoulou, M. G., Tanaka, T., Wannamethee, S. G., Rotter, J. I., Dehghan, A., Boerwinkle, E., Sneider, H., Psaty, B. M., Prins, B. P., and Alizadeh, B. Z.

Published
2020

18. Erratum to: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (Nature Genetics, (2018), 50, 10, (1412-1425), 10.1038/s41588-018-0205-x)

Author

Evangelou E., Warren H. R., Mosen-Ansorena D., Mifsud B., Pazoki R., Gao H., Ntritsos G., Dimou N., Cabrera C. P., Karaman I., Ng F. L., Evangelou M., Witkowska K., Tzanis E., Hellwege J. N., Giri A., Velez Edwards D. R., Sun Y. V., Cho K., Gaziano J. M., Wilson P. W. F., Tsao P. S., Kovesdy C. P., Esko T., Magi R., Milani L., Almgren P., Boutin T., Debette S., Ding J., Giulianini F., Holliday E. G., Jackson A. U., Li-Gao R., Lin W. -Y., Luan J., Mangino M., Oldmeadow C., Prins B. P., Qian Y., Sargurupremraj M., Shah N., Surendran P., Theriault S., Verweij N., Willems S. M., Zhao J. -H., Amouyel P., Connell J., de Mutsert R., Doney A. S. F., Farrall M., Menni C., Morris A. D., Noordam R., Pare G., Poulter N. R., Shields D. C., Stanton A., Thom S., Abecasis G., Amin N., Arking D. E., Ayers K. L., Barbieri C. M., Batini C., Bis J. C., Blake T., Bochud M., Boehnke M., Boerwinkle E., Boomsma D. I., Bottinger E. P., Braund P. S., Brumat M., Campbell A., Campbell H., Chakravarti A., Chambers J. C., Chauhan G., Ciullo M., Cocca M., Collins F., Cordell H. J., Davies G., de Borst M. H., de Geus E. J., Deary I. J., Deelen J., Del Greco M F., Demirkale C. Y., Dorr M., Ehret G. B., Elosua R., Enroth S., Erzurumluoglu A. M., Ferreira T., Franberg M., Franco O. H., Gandin I., Gasparini P., Giedraitis V., Gieger C., Girotto G., Goel A., Gow A. J., Gudnason V., Guo X., Gyllensten U., Hamsten A., Harris T. B., Harris S. E., Hartman C. A., Havulinna A. S., Hicks A. A., Hofer E., Hofman A., Hottenga J. -J., Huffman J. E., Hwang S. -J., Ingelsson E., James A., Jansen R., Jarvelin M. -R., Joehanes R., Johansson A., Johnson A. D., Joshi P. K., Jousilahti P., Jukema J. W., Jula A., Kahonen M., Kathiresan S., Keavney B. D., Khaw K. -T., Knekt P., Knight J., Kolcic I., Kooner J. S., Koskinen S., Kristiansson K., Kutalik Z., Laan M., Larson M., Launer L. J., Lehne B., Lehtimaki T., Liewald D. C. M., Lin L., Lind L., Lindgren C. M., Liu Y. M., Loos R. J. F., Lopez L. M., Lu Y., Lyytikainen L. -P., Mahajan A., Mamasoula C., Marrugat J., Marten J., Milaneschi Y., Morgan A., Morris A. P., Morrison A. C., Munson P. J., Nalls M. A., Nandakumar P., Nelson C. P., Niiranen T., Nolte I. M., Nutile T., Oldehinkel A. J., Oostra B. A., O'Reilly P. F., Org E., Padmanabhan S., Palmas W., Palotie A., Pattie A., Penninx B. W. J. H., Perola M., Peters A., Polasek O., Pramstaller P. P., Nguyen Q. T., Raitakari O. T., Ren M., Rettig R., Rice K., Ridker P. M., Ried J. S., Riese H., Ripatti S., Robino A., Rose L. M., Rotter J. I., Rudan I., Ruggiero D., Saba Y., Sala C. F., Salomaa V., Samani N. J., Sarin A. -P., Schmidt R., Schmidt H., Shrine N., Siscovick D., Smith A. V., Snieder H., Sober S., Sorice R., Starr J. M., Stott D. J., Strachan D. P., Strawbridge R. J., Sundstrom J., Swertz M. A., Taylor K. D., Teumer A., Tobin M. D., Tomaszewski M., Toniolo D., Traglia M., Trompet S., Tuomilehto J., Tzourio C., Uitterlinden A. G., Vaez A., van der Most P. J., van Duijn C. M., Vergnaud A. -C., Verwoert G. C., Vitart V., Volker U., Vollenweider P., Vuckovic D., Watkins H., Wild S. H., Willemsen G., Wilson J. F., Wright A. F., Yao J., Zemunik T., Zhang W., Attia J. R., Butterworth A. S., Chasman D. I., Conen D., Cucca F., Danesh J., Hayward C., Howson J. M. M., Laakso M., Lakatta E. G., Langenberg C., Melander O., Mook-Kanamori D. O., Palmer C. N. A., Risch L., Scott R. A., Scott R. J., Sever P., Spector T. D., van der Harst P., Wareham N. J., Zeggini E., Levy D., Munroe P. B., Newton-Cheh C., Brown M. J., Metspalu A., Hung A. M., O'Donnell C. J., Edwards T. L., Psaty B. M., Tzoulaki I., Barnes M. R., Wain L. V., Elliott P., Caulfield M. J., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., Karaman, I., Ng, F. L., Evangelou, M., Witkowska, K., Tzanis, E., Hellwege, J. N., Giri, A., Velez Edwards, D. R., Sun, Y. V., Cho, K., Gaziano, J. M., Wilson, P. W. F., Tsao, P. S., Kovesdy, C. P., Esko, T., Magi, R., Milani, L., Almgren, P., Boutin, T., Debette, S., Ding, J., Giulianini, F., Holliday, E. G., Jackson, A. U., Li-Gao, R., Lin, W. -Y., Luan, J., Mangino, M., Oldmeadow, C., Prins, B. P., Qian, Y., Sargurupremraj, M., Shah, N., Surendran, P., Theriault, S., Verweij, N., Willems, S. M., Zhao, J. -H., Amouyel, P., Connell, J., de Mutsert, R., Doney, A. S. F., Farrall, M., Menni, C., Morris, A. D., Noordam, R., Pare, G., Poulter, N. R., Shields, D. C., Stanton, A., Thom, S., Abecasis, G., Amin, N., Arking, D. E., Ayers, K. L., Barbieri, C. M., Batini, C., Bis, J. C., Blake, T., Bochud, M., Boehnke, M., Boerwinkle, E., Boomsma, D. I., Bottinger, E. P., Braund, P. S., Brumat, M., Campbell, A., Campbell, H., Chakravarti, A., Chambers, J. C., Chauhan, G., Ciullo, M., Cocca, M., Collins, F., Cordell, H. J., Davies, G., de Borst, M. H., de Geus, E. J., Deary, I. J., Deelen, J., Del Greco M, F., Demirkale, C. Y., Dorr, M., Ehret, G. B., Elosua, R., Enroth, S., Erzurumluoglu, A. M., Ferreira, T., Franberg, M., Franco, O. H., Gandin, I., Gasparini, P., Giedraitis, V., Gieger, C., Girotto, G., Goel, A., Gow, A. J., Gudnason, V., Guo, X., Gyllensten, U., Hamsten, A., Harris, T. B., Harris, S. E., Hartman, C. A., Havulinna, A. S., Hicks, A. A., Hofer, E., Hofman, A., Hottenga, J. -J., Huffman, J. E., Hwang, S. -J., Ingelsson, E., James, A., Jansen, R., Jarvelin, M. -R., Joehanes, R., Johansson, A., Johnson, A. D., Joshi, P. K., Jousilahti, P., Jukema, J. W., Jula, A., Kahonen, M., Kathiresan, S., Keavney, B. D., Khaw, K. -T., Knekt, P., Knight, J., Kolcic, I., Kooner, J. S., Koskinen, S., Kristiansson, K., Kutalik, Z., Laan, M., Larson, M., Launer, L. J., Lehne, B., Lehtimaki, T., Liewald, D. C. M., Lin, L., Lind, L., Lindgren, C. M., Liu, Y. M., Loos, R. J. F., Lopez, L. M., Lu, Y., Lyytikainen, L. -P., Mahajan, A., Mamasoula, C., Marrugat, J., Marten, J., Milaneschi, Y., Morgan, A., Morris, A. P., Morrison, A. C., Munson, P. J., Nalls, M. A., Nandakumar, P., Nelson, C. P., Niiranen, T., Nolte, I. M., Nutile, T., Oldehinkel, A. J., Oostra, B. A., O'Reilly, P. F., Org, E., Padmanabhan, S., Palmas, W., Palotie, A., Pattie, A., Penninx, B. W. J. H., Perola, M., Peters, A., Polasek, O., Pramstaller, P. P., Nguyen, Q. T., Raitakari, O. T., Ren, M., Rettig, R., Rice, K., Ridker, P. M., Ried, J. S., Riese, H., Ripatti, S., Robino, A., Rose, L. M., Rotter, J. I., Rudan, I., Ruggiero, D., Saba, Y., Sala, C. F., Salomaa, V., Samani, N. J., Sarin, A. -P., Schmidt, R., Schmidt, H., Shrine, N., Siscovick, D., Smith, A. V., Snieder, H., Sober, S., Sorice, R., Starr, J. M., Stott, D. J., Strachan, D. P., Strawbridge, R. J., Sundstrom, J., Swertz, M. A., Taylor, K. D., Teumer, A., Tobin, M. D., Tomaszewski, M., Toniolo, D., Traglia, M., Trompet, S., Tuomilehto, J., Tzourio, C., Uitterlinden, A. G., Vaez, A., van der Most, P. J., van Duijn, C. M., Vergnaud, A. -C., Verwoert, G. C., Vitart, V., Volker, U., Vollenweider, P., Vuckovic, D., Watkins, H., Wild, S. H., Willemsen, G., Wilson, J. F., Wright, A. F., Yao, J., Zemunik, T., Zhang, W., Attia, J. R., Butterworth, A. S., Chasman, D. I., Conen, D., Cucca, F., Danesh, J., Hayward, C., Howson, J. M. M., Laakso, M., Lakatta, E. G., Langenberg, C., Melander, O., Mook-Kanamori, D. O., Palmer, C. N. A., Risch, L., Scott, R. A., Scott, R. J., Sever, P., Spector, T. D., van der Harst, P., Wareham, N. J., Zeggini, E., Levy, D., Munroe, P. B., Newton-Cheh, C., Brown, M. J., Metspalu, A., Hung, A. M., O'Donnell, C. J., Edwards, T. L., Psaty, B. M., Tzoulaki, I., Barnes, M. R., Wain, L. V., Elliott, P., and Caulfield, M. J.

Subjects
Blood pressure, genetic analysis
Abstract

In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.

Published
2018

19. Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: The GOMAP study

Author

Mamakou, V. Hackinger, S. Zengini, E. Tsompanaki, E. Marouli, E. Serafetinidis, I. Prins, B. Karabela, A. Glezou, E. Southam, L. Rayner, N.W. Kuchenbaecker, K. Lamnissou, K. Kontaxakis, V. Dedoussis, G. Gonidakis, F. Thanopoulou, A. Tentolouris, N. Zeggini, E.

Subjects
nutritional and metabolic diseases
Abstract

Background: Schizophrenia (SCZ) is associated with increased risk of type 2 diabetes (T2D). The potential diabetogenic effect of concomitant application of psychotropic treatment classes in patients with SCZ has not yet been evaluated. The overarching goal of the Genetic Overlap between Metabolic and Psychiatric disease (GOMAP) study is to assess the effect of pharmacological, anthropometric, lifestyle and clinical measurements, helping elucidate the mechanisms underlying the aetiology of T2D. Methods: The GOMAP case-control study (Genetic Overlap between Metabolic and Psychiatric disease) includes hospitalized patients with SCZ, some of whom have T2D. We enrolled 1653 patients with SCZ; 611 with T2D and 1042 patients without T2D. This is the first study of SCZ and T2D comorbidity at this scale in the Greek population. We retrieved detailed information on first- and second-generation antipsychotics (FGA, SGA), antidepressants and mood stabilizers, applied as monotherapy, 2-drug combination, or as 3- or more drug combination. We assessed the effects of psychotropic medication, body mass index, duration of schizophrenia, number of hospitalizations and physical activity on risk of T2D. Using logistic regression, we calculated crude and adjusted odds ratios (OR) to identify associations between demographic factors and the psychiatric medications. Results: Patients with SCZ on a combination of at least three different classes of psychiatric drugs had a higher risk of T2D [OR 1.81 (95% CI 1.22-2.69); p=0.003] compared to FGA alone therapy, after adjustment for age, BMI, sex, duration of SCZ and number of hospitalizations. We did not find evidence for an association of SGA use or the combination of drugs belonging to two different classes of psychiatric medications with increased risk of T2D [1.27 (0.84-1.93), p=0.259 and 0.98 (0.71-1.35), p=0.885, respectively] compared to FGA use. Conclusions: We find an increased risk of T2D in patients with SCZ who take a combination of at least three different psychotropic medication classes compared to patients whose medication consists only of one or two classes of drugs. © 2018 The Author(s).

Published
2018

20. Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia

Author

Hackinger, S. Prins, B. Mamakou, V. Zengini, E. Marouli, E. Brčić, L. Serafetinidis, I. Lamnissou, K. Kontaxakis, V. Dedoussis, G. Gonidakis, F. Thanopoulou, A. Tentolouris, N. Tsezou, A. Zeggini, E.

Subjects
endocrine system diseases, nutritional and metabolic diseases, human activities
Abstract

The epidemiologic link between schizophrenia (SCZ) and type 2 diabetes (T2D) remains poorly understood. Here, we investigate the presence and extent of a shared genetic background between SCZ and T2D using genome-wide approaches. We performed a genome-wide association study (GWAS) and polygenic risk score analysis in a Greek sample collection (GOMAP) comprising three patient groups: SCZ only (n = 924), T2D only (n = 822), comorbid SCZ and T2D (n = 505); samples from two separate Greek cohorts were used as population-based controls (n = 1,125). We used genome-wide summary statistics from two large-scale GWAS of SCZ and T2D from the PGC and DIAGRAM consortia, respectively, to perform genetic overlap analyses, including a regional colocalisation test. We show for the first time that patients with comorbid SCZ and T2D have a higher genetic predisposition to both disorders compared to controls. We identify five genomic regions with evidence of colocalising SCZ and T2D signals, three of which contain known loci for both diseases. We also observe a significant excess of shared association signals between SCZ and T2D at nine out of ten investigated p value thresholds. Finally, we identify 29 genes associated with both T2D and SCZ, several of which have been implicated in biological processes relevant to these disorders. Together our results demonstrate that the observed comorbidity between SCZ and T2D is at least in part due to shared genetic mechanisms. © 2018, The Author(s).

Published
2018

21. Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Author

EVANGELOU, E., WARREN, H. R., MOSEN-ANSORENA, D., MIFSUD, B., PAZOKI, R., Gao, H., NTRITSOS, G., DIMOU, N., CABRERA, C. P., Karaman, I., NG, F. L., Evangelou, M., WITKOWSKA, K., TZANIS, E., HELLWEGE, J. N., Giri, A., VELEZ EDWARDS, D. R., Sun, Y. V., Cho, K., GAZIANO, J. M., WILSON, P. W. F., TSAO, P. S., Kovesdy, C. P., ESKO, T., MAGI, R., Milani, L., Almgren, P., Boutin, T., Debette, Stéphanie, Ding, J., GIULIANINI, F., HOLLIDAY, E. G., JACKSON, A. U., LI-GAO, R., LIN, W. Y., Luan, J., Mangino, M., OLDMEADOW, C., PRINS, B. P., Qian, Y., Sargurupremraj, Muralidharan, Shah, N., SURENDRAN, P., THERIAULT, S., VERWEIJ, N., WILLEMS, S. M., Zhao, J. H., Amouyel, P., Connell, J., DE MUTSERT, R., DONEY, A. S. F., Farrall, M., MENNI, C., NOORDAM, R., Pare, G., POULTER, N. R., SHIELDS, D. C., STANTON, A., THOM, S., ABECASIS, G., Amin, N., ARKING, D. E., Ayers, K. L., BARBIERI, C. M., Batini, C., BIS, J. C., Blake, T., Bochud, M., Boehnke, M., BOERWINKLE, E., Boomsma, D. I., BOTTINGER, E. P., BRAUND, P. S., BRUMAT, M., Campbell, A., Campbell, H., Chakravarti, A., CHAMBERS, J. C., Chauhan, Ganesh, Ciullo, M., COCCA, M., Collins, F., CORDELL, H. J., Davies, G., DE BORST, M. H., DE GEUS, E. J., DEARY, I. J., DEELEN, J., DEL GRECO, M. F., DEMIRKALE, C. Y., DORR, M., EHRET, G. B., ELOSUA, R., ENROTH, S., ERZURUMLUOGLU, A. M., Ferreira, T., Franberg, M., FRANCO, O. H., GANDIN, I., Gasparini, P., GIEDRAITIS, V., Gieger, C., GIROTTO, G., Goel, A., GOW, A. J., GUDNASON, V., Guo, X., GYLLENSTEN, U., HAMSTEN, A., HARRIS, T. B., Harris, S. E., HARTMAN, C. A., HAVULINNA, A. S., HICKS, A. A., Hofer, E., Hofman, A., HOTTENGA, J. J., HUFFMAN, J. E., Hwang, S. J., INGELSSON, E., James, A., Jansen, R., JARVELIN, M. R., JOEHANES, R., Johansson, A., JOHNSON, A. D., Joshi, P. K., JOUSILAHTI, P., JUKEMA, J. W., JULA, A., KAHONEN, M., KATHIRESAN, S., KEAVNEY, B. D., Khaw, K. T., KNEKT, P., Knight, J., KOLCIC, I., KOONER, J. S., KOSKINEN, S., KRISTIANSSON, K., KUTALIK, Z., Laan, M., Larson, M., LAUNER, L. J., LEHNE, B., LEHTIMAKI, T., LIEWALD, D. C. M., Lin, L., LIND, L., LINDGREN, C. M., Liu, Y., LOOS, R. J. F., LOPEZ, L. M., Lu, Y., LYYTIKAINEN, L. P., Mahajan, A., MAMASOULA, C., MARRUGAT, J., MARTEN, J., MILANESCHI, Y., Morgan, A., MORRIS, A. D., MORRISON, A. C., MUNSON, P. J., Nalls, M. A., NANDAKUMAR, P., NELSON, C. P., NIIRANEN, T., Nolte, I. M., Nutile, T., Oldehinkel, A. J., Oostra, B. A., O'REILLY, P. F., ORG, E., PADMANABHAN, S., PALMAS, W., Palotie, A., PATTIE, A., PENNINX, Bwjh, Perola, M., Peters, A., POLASEK, O., PRAMSTALLER, P. P., Nguyen, Q. T., RAITAKARI, O. T., REN, M., Rettig, R., Rice, K., RIDKER, P. M., RIED, J. S., RIESE, H., RIPATTI, S., ROBINO, A., ROSE, L. M., ROTTER, J. I., RUDAN, I., Ruggiero, D., SABA, Y., SALA, C. F., SALOMAA, V., SAMANI, N. J., SARIN, A. P., Schmidt, R., Schmidt, H., SHRINE, N., SISCOVICK, D., SMITH, A. V., SNIEDER, H., SOBER, S., Sorice, R., STARR, J. M., STOTT, D. J., Strachan, D. P., STRAWBRIDGE, R. J., SUNDSTROM, J., SWERTZ, M. A., TAYLOR, K. D., TEUMER, A., TOBIN, M. D., TOMASZEWSKI, M., TONIOLO, D., TRAGLIA, M., TROMPET, S., TUOMILEHTO, J., Tzourio, Christophe, UITTERLINDEN, A. G., VAEZ, A., VAN DER MOST, P. J., VAN DUIJN, C. M., VERGNAUD, A. C., VERWOERT, G. C., Vitart, V., VOLKER, U., Vollenweider, P., VUCKOVIC, D., WATKINS, H., WILD, S. H., Willemsen, G., WILSON, J. F., WRIGHT, A. F., Yao, J., ZEMUNIK, T., Zhang, W., ATTIA, J. R., BUTTERWORTH, A. S., Chasman, D. I., CONEN, D., Cucca, F., DANESH, J., Hayward, C., HOWSON, J. M. M., Laakso, M., LAKATTA, E. G., Langenberg, C., MELANDER, O., MOOK-KANAMORI, D. O., PALMER, C. N. A., Risch, L., SCOTT, R. A., SEVER, P., SPECTOR, T. D., Van Der Harst, P., Wareham, N. J., Zeggini, E., Levy, D., MUNROE, P. B., NEWTON-CHEH, C., Brown, M. J., Metspalu, A., HUNG, A. M., O'DONNELL, C. J., EDWARDS, T. L., PSATY, B. M., TZOULAKI, I., BARNES, M. R., WAIN, L. V., Elliott, P., CAULFIELD, M. J., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
VINTAGE, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, HEALTHY
Abstract

In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.

Published
2018
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22. Meta-analysis of exome array data identifies six novel genetic loci for lung function.

Author

Jackson, VE, Latourelle, JC, Wain, LV, Smith, AV, Grove, ML, Bartz, TM, Obeidat, M, Province, MA, Gao, W, Qaiser, B, Porteous, DJ, Cassano, PA, Ahluwalia, TS, Grarup, N, Li, J, Altmaier, E, Marten, J, Harris, SE, Manichaikul, A, Pottinger, TD, Li-Gao, R, Lind-Thomsen, A, Mahajan, A, Lahousse, L, Imboden, M, Teumer, A, Prins, B, Lyytikäinen, L-P, Eiriksdottir, G, Franceschini, N, Sitlani, CM, Brody, JA, Bossé, Y, Timens, W, Kraja, A, Loukola, A, Tang, W, Liu, Y, Bork-Jensen, J, Justesen, JM, Linneberg, A, Lange, LA, Rawal, R, Karrasch, S, Huffman, JE, Smith, BH, Davies, G, Burkart, KM, Mychaleckyj, JC, Bonten, TN, Enroth, S, Lind, L, Brusselle, GG, Kumar, A, Stubbe, B, Understanding Society Scientific Group, Kähönen, M, Wyss, AB, Psaty, BM, Heckbert, SR, Hao, K, Rantanen, T, Kritchevsky, SB, Lohman, K, Skaaby, T, Pisinger, C, Hansen, T, Schulz, H, Polasek, O, Campbell, A, Starr, JM, Rich, SS, Mook-Kanamori, DO, Johansson, Å, Ingelsson, E, Uitterlinden, AG, Weiss, S, Raitakari, OT, Gudnason, V, North, KE, Gharib, SA, Sin, DD, Taylor, KD, O'Connor, GT, Kaprio, J, Harris, TB, Pederson, O, Vestergaard, H, Wilson, JG, Strauch, K, Hayward, C, Kerr, S, Deary, IJ, Barr, RG, de Mutsert, R, Gyllensten, U, Morris, AP, Ikram, MA, Probst-Hensch, N, Gläser, S, Zeggini, E, Lehtimäki, T, Strachan, DP, Dupuis, J, Morrison, AC, Hall, IP, Tobin, MD, London, SJ, Jackson, VE, Latourelle, JC, Wain, LV, Smith, AV, Grove, ML, Bartz, TM, Obeidat, M, Province, MA, Gao, W, Qaiser, B, Porteous, DJ, Cassano, PA, Ahluwalia, TS, Grarup, N, Li, J, Altmaier, E, Marten, J, Harris, SE, Manichaikul, A, Pottinger, TD, Li-Gao, R, Lind-Thomsen, A, Mahajan, A, Lahousse, L, Imboden, M, Teumer, A, Prins, B, Lyytikäinen, L-P, Eiriksdottir, G, Franceschini, N, Sitlani, CM, Brody, JA, Bossé, Y, Timens, W, Kraja, A, Loukola, A, Tang, W, Liu, Y, Bork-Jensen, J, Justesen, JM, Linneberg, A, Lange, LA, Rawal, R, Karrasch, S, Huffman, JE, Smith, BH, Davies, G, Burkart, KM, Mychaleckyj, JC, Bonten, TN, Enroth, S, Lind, L, Brusselle, GG, Kumar, A, Stubbe, B, Understanding Society Scientific Group, Kähönen, M, Wyss, AB, Psaty, BM, Heckbert, SR, Hao, K, Rantanen, T, Kritchevsky, SB, Lohman, K, Skaaby, T, Pisinger, C, Hansen, T, Schulz, H, Polasek, O, Campbell, A, Starr, JM, Rich, SS, Mook-Kanamori, DO, Johansson, Å, Ingelsson, E, Uitterlinden, AG, Weiss, S, Raitakari, OT, Gudnason, V, North, KE, Gharib, SA, Sin, DD, Taylor, KD, O'Connor, GT, Kaprio, J, Harris, TB, Pederson, O, Vestergaard, H, Wilson, JG, Strauch, K, Hayward, C, Kerr, S, Deary, IJ, Barr, RG, de Mutsert, R, Gyllensten, U, Morris, AP, Ikram, MA, Probst-Hensch, N, Gläser, S, Zeggini, E, Lehtimäki, T, Strachan, DP, Dupuis, J, Morrison, AC, Hall, IP, Tobin, MD, and London, SJ

Abstract

Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV 1), forced vital capacity (FVC) and the ratio of FEV 1 to FVC (FEV 1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P<2·8x10 -7) associations with six SNPs: a nonsynonymous variant in RPAP1, which is predicted to be damaging, three intronic SNPs ( SEC24C, CASC17 and UQCC1) and two intergenic SNPs near to LY86 and FGF10. Expression quantitative trait loci analyses found evidence for regulation of gene expression at three signals and implicated several genes, including TYRO3 and PLAU. Conclusions: Further interrogation of these loci could provide greater understanding of the determinants of lung function and pulmonary disease.

Published
2018

23. future never ends : visie op robotisering : thema robotisering en digitalisering

Author

Prins, B. and Prins, B.

Abstract

We raken al gewend aan termen als industrie 4.0, internet of things, big data, artificiële intelligentie, virtual en augmented reality. Maar kennen we ook de werkelijke betekenissen? Weet u wat de impact ervan is op uw bedrijf? Hoe u er praktisch mee aan de slag kunt, hoe we de nieuwe systemen up-to-date houden?

Published
2018

24. Evidence for large-scale gene-by-smoking interaction effects on pulmonary function

Author

Aschard, H. (Hugues), Tobin, M. D. (Martin D), Hancock, D. B. (Dana B), Skurnik, D. (David), Sood, A. (Akshay), James, A. (Alan), Smith, A. V. (Albert Vernon), Manichaikul, A. W. (Ani W), Campbell, A. (Archie), Prins, B. P. (Bram P), Hayward, C. (Caroline), Loth, D. W. (Daan W), Porteous, D. J. (David J), Strachan, D. P. (David P), Zeggini, E. (Eleftheria), O’Connor, G. T. (George T), Brusselle, G. G. (Guy G), Boezen, H. M. (H Marike), Schulz, H. (Holger), Deary, I. J. (Ian J), Hall, I. P. (Ian P), Rudan, I. (Igor), Kaprio, J. (Jaakko), Wilson, J. F. (James F), Wilk, J. B. (Jemma B), Huffman, J. E. (Jennifer E), Zhao, J. H. (Jing Hua), de Jong, K. (Kim), Lyytikäinen, L.-P. (Leo-Pekka), Wain, L. V. (Louise V), Järvelin, M.-R. (Marjo-Riitta), Kähönen, M. (Mika), Fornage, M. (Myriam), Polasek, O. (Ozren), Cassano, P. A. (Patricia A), Barr, R. G. (R Graham), Rawal, R. (Rajesh), Harris, S. E. (Sarah E), Gharib, S. A. (Sina A), Enroth, S. (Stefan), Heckbert, S. R. (Susan R), Lehtimäki, T. (Terho), Gyllensten, U. (Ulf), Understanding Society Scientific Group, Jackson, V. E. (Victoria E), Gudnason, V. (Vilmundur), Tang, W. (Wenbo), Dupuis, J. (Josée), Artigas, M. S. (María Soler), Joshi, A. D. (Amit D), London, S. J. (Stephanie J), Kraft, P. (Peter), Groningen Research Institute for Asthma and COPD (GRIAC), and Life Course Epidemiology (LCE)

Subjects
RISK, Medicin och hälsovetenskap, Science & Technology, PREDICTION, 0104 Statistics, respiratory system, genetic risk score, Medical and Health Sciences, DISEASE, smoking, gene-environment interaction, respiratory tract diseases, LUNG-FUNCTION, OPPORTUNITIES, 1117 Public Health And Health Services, FEV1/FVC, EPIDEMIOLOGY, OBSTRUCTION, GENOME-WIDE ASSOCIATION, ENVIRONMENT INTERACTIONS, gene–environment interaction, Life Sciences & Biomedicine, Public, Environmental & Occupational Health
Abstract

Background: Smoking is the strongest environmental risk factor for reduced pulmonary function. The genetic component of various pulmonary traits has also been demonstrated, and at least 26 loci have been reproducibly associated with either FEV1 (forced expiratory volume in 1 second) or FEV1/FVC (FEV1/forced vital capacity). Although the main effects of smoking and genetic loci are well established, the question of potential gene-by-smoking interaction effect remains unanswered. The aim of the present study was to assess, using a genetic risk score approach, whether the effect of these 26 loci on pulmonary function is influenced by smoking. Methods: We evaluated the interaction between smoking exposure, considered as either ever vs never or pack-years, and a 26-single nucleotide polymorphisms (SNPs) genetic risk score in relation to FEV1 or FEV1/FVC in 50 047 participants of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) and SpiroMeta consortia. Results: We identified an interaction (βint = −0.036, 95% confidence interval, −0.040 to −0.032, P = 0.00057) between an unweighted 26 SNP genetic risk score and smoking status (ever/never) on the FEV1/FVC ratio. In interpreting this interaction, we showed that the genetic risk of falling below the FEV1/FVC threshold used to diagnose chronic obstructive pulmonary disease is higher among ever smokers than among never smokers. A replication analysis in two independent datasets, although not statistically significant, showed a similar trend in the interaction effect. Conclusions: This study highlights the benefit of using genetic risk scores for identifying interactions missed when studying individual SNPs and shows, for the first time, that persons with the highest genetic risk for low FEV1/FVC may be more susceptible to the deleterious effects of smoking.

Published
2017

25. ‘We zijn hier allemaal zusjes': Een etnografisch onderzoek op een superdiverse mbo opleiding Helpende Zorg en Welzijn

Author

Bouk,el, Fatima, Lovert-Reindersma, Tjitske, Staaij-Los,van der, Vita, and Prins, B. (Baukje)

Subjects
interculturele communicatie, middelbaar beroepsonderwijs (mbo), multiculturele samenleving, diversiteit
Abstract

Het middelbaar beroepsonderwijs is een belangrijke emancipatiemotor voor jongeren met een migratie achtergrond. Tegelijkertijd zijn er zorgen over de toenemende gevoelens van vervreemding van deze jongeren ten aanzien van de Nederlandse samenleving. En over docenten die worstelen met handelingsverlegenheid wanneer ze hiermee worden geconfronteerd. Dit boek biedt een onthullende inkijk in de complexe dagelijkse leefwereld van een Randstedelijke mbo school voor Helpende Zorg en Welzijn. Op grond van concrete casussen wordt duidelijk dat er soms wel iets te verbeteren valt aan de solidariteit tussen studenten of aan het ‘spelgevoel’ van docenten. Maar een aanzienlijk deel van de problemen op school blijkt te wijten aan de aanhoudende organisatorische onrust ten gevolge van het ‘trilemma’ van kwaliteit, rendement en emancipatie waarvoor veel onderwijsinstellingen in Nederland zich tegenwoordig gesteld zien.

Published
2017

26. Evaluating the glucose raising effect of established loci via a genetic risk score

Author

Marouli, E. Kanoni, S. Mamakou, V. Hackinger, S. Southam, L. Prins, B. Rentari, A. Dimitriou, M. Zengini, E. Gonidakis, F. Kolovou, G. Kontaxakis, V. Rallidis, L. Tentolouris, N. Thanopoulou, A. Lamnissou, K. Dedoussis, G. Zeggini, E. Deloukas, P.

Abstract

Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) associated with glucose levels. We tested the hypothesis here whether the cumulative effect of glucose raising SNPs, assessed via a score, is associated with glucose levels. A total of 1,434 participants of Greek descent from the THISEAS study and 1,160 participants form the GOMAP study were included in this analysis. We developed a genetic risk score (GRS), based on the known glucose-raising loci, in order to investigate the cumulative effect of known glucose loci on glucose levels. In the THISEAS study, the GRS score was significantly associated with increased glucose levels (mmol/L) (β ± SE: 0.024 ± 0.004, P = 8.27e-07). The effect of the genetic risk score was also significant in the GOMAP study (β ± SE: 0.011 ± 0.005, P = 0.031). In the meta-analysis of the two studies both scores were significantly associated with higher glucose levels GRS: β ± SE: 0.019 ± 0.003, P = 1.41e-09. Also, variants at the SLC30A8, PROX1, MTNR1B, ADRA2A, G6PC2, LPIN3 loci indicated nominal evidence for association with glucose levels (p < 0.05). We replicate associations of the established glucose raising variants in the Greek population and confirm directional consistency of effects (binomial sign test p = 6.96e-05). We also demonstrate that the cumulative effect of the established glucose loci yielded a significant association with increasing glucose levels. © 2017 Marouli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published
2017

27. Geboren en getuige in de Schilderswijk: Verhalen van jongeren in een Haagse wijk over vertrouwen in de Schilderswijk

Author

Duijndam, Corina, Prins, B. (Baukje), and Kaulingfreks, Femke

Subjects
omgangsvormen, politie, Schilderswijk (Den Haag), multiculturele samenleving, diversiteit, jongeren
Abstract

De verhouding tussen jongeren en de politie in de Haagse Schilderswijk is al jaren moeizaam. Na de dood van Mitch Henriquez door politiegeweld leidden de opgebouwde frustraties in 2015 tot rellen. Desondanks stelden diverse onderzoekers dat er geen sprake was van buitenproportioneel optreden of discriminatie door de politie. Tegen deze achtergrond voerde het lectoraat Burgerschap en Diversiteit van De Haagse Hogeschool een onderzoek uit naar het vertrouwen van jonge Schilderswijkers in de politie. Uit hun verhalen blijkt dat zelfs zeer kritische jongeren grote waardering hebben voor hun wijkagent, maar dat het gevoel van discriminatie alomtegenwoordig is. Ook wordt duidelijk dat de interactie tussen jongeren en politie alleen kan worden begrepen tegen de achtergrond van de ongelijke machtsverhoudingen op macroniveau.

Published
2017

28. World Citizenship: developing intercultural competence in international and multicultural Dutch classrooms : the effectivity of the PREFLEX@Home Programme: a pilot study at The Hague University of Applied Sciences

Author

Ham, Anita, Walenkamp, J.H.C. (Jos), Belt, Jantien, Prins, B. (Baukje), and Kaulingfreks, Femke

Subjects
hoger onderwijs, ComputingMilieux_COMPUTERSANDEDUCATION, PREFLEX@Home prestaties, world citizen, internationalisering
Abstract

The present study aims to investigate if – and if so, how – the intercultural training programme ‘Preparation for Foreign Learning Experience’ (PREFLEX) has a positive effect on the development of the intercultural competence of students at THUAS in international groups (i.e. school for International Business and Management Studies, IBMS) and students in intercultural groups (i.e. school for Commercial Economy, CE). In addition, the study aims to advance the design of the programme further. Accordingly, the study addresses the following central research question: In what way do the intercultural classroom and the international classroom contribute to the development of intercultural competences in first-year students at THUAS, and to what extent does preparation and guidance, by means of the PREFLEX training module, effectively enhance this development?

Published
2015

30. Role of common and rare variants in SCN10A: results from the Brugada syndrome QRS locus gene discovery collaborative study

Author

Behr, E, Savio-Galimberti, E, Barc, J, Holst, A, Petropoulou, E, Prins, B, Jabbari, J, Torchio, M, Berthet, M, Mizusawa, Y, Yang, T, Nannenberg, E, Dagradi, F, Weeke, P, Bastiaenan, R, Ackerman, M, Haunso, S, Leenhardt, A, Kääb, S, Probst, V, Redon, R, Sharma, S, Wilde, A, Tfelt-Hansen, J, Schwartz, P, Roden, D, Bezzina, C, Olesen, M, Darbar, D, Guicheney, P, Crotti, L, Jamshidi, Y, Holst, AG, Behr, E, Savio-Galimberti, E, Barc, J, Holst, A, Petropoulou, E, Prins, B, Jabbari, J, Torchio, M, Berthet, M, Mizusawa, Y, Yang, T, Nannenberg, E, Dagradi, F, Weeke, P, Bastiaenan, R, Ackerman, M, Haunso, S, Leenhardt, A, Kääb, S, Probst, V, Redon, R, Sharma, S, Wilde, A, Tfelt-Hansen, J, Schwartz, P, Roden, D, Bezzina, C, Olesen, M, Darbar, D, Guicheney, P, Crotti, L, Jamshidi, Y, and Holst, AG

Abstract

Aims: Brugada syndrome (BrS) remains genetically heterogeneous and is associated with slowed cardiac conduction. We aimed to identify genetic variation in BrS cases at loci associated with QRS duration. Methods and results: A multi-centre study sequenced seven candidate genes (SCN10A, HAND1, PLN, CASQ2, TKT, TBX3, and TBX5) in 156 Caucasian SCN5A mutation-negative BrS patients (80% male; mean age 48) with symptoms (64%) and/or a family history of sudden death (47%) or BrS (18%). Forty-nine variants were identified: 18 were rare (MAF <1%) and non-synonymous; and 11/18 (61.1%), mostly in SCN10A, were predicted as pathogenic using multiple bioinformatics tools. Allele frequencies were compared with the Exome Sequencing and UK10K Projects. SKAT methods tested rare variation in SCN10A finding no statistically significant difference between cases and controls. Co-segregation analysis was possible for four of seven probands carrying a novel pathogenic variant. Only one pedigree (I671V/G1299A in SCN10A) showed co-segregation. The SCN10A SNP V1073 was, however, associated strongly with BrS [66.9 vs. 40.1% (UK10K) OR (95% CI) = 3.02 (2.35-3.87), P = 8.07 × 10-19]. Voltage-clamp experiments for NaV1.8 were performed for SCN10A common variants V1073, A1073, and rare variants of interest: A200V and I671V. V1073, A200V and I671V, demonstrated significant reductions in peak INa compared with ancestral allele A1073 (rs6795970). Conclusion: Rare variants in the screened QRS-associated genes (including SCN10A) are not responsible for a significant proportion of SCN5A mutation negative BrS. The common SNP SCN10A V1073 was strongly associated with BrS and demonstrated loss of NaV1.8 function, as did rare variants in isolated patients.

Published
2015

31. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders

Author

Symen Ligthart, Ahmad Vaez, Urmo Võsa, Maria G. Stathopoulou, Paul S. de Vries, Bram P. Prins, Peter J. Van der Most, Toshiko Tanaka, Elnaz Naderi, Lynda M. Rose, Ying Wu, Robert Karlsson, Maja Barbalic, Honghuang Lin, René Pool, Gu Zhu, Aurélien Macé, Carlo Sidore, Stella Trompet, Massimo Mangino, Maria Sabater-Lleal, John P. Kemp, Ali Abbasi, Tim Kacprowski, Niek Verweij, Albert V. Smith, Tao Huang, Carola Marzi, Mary F. Feitosa, Kurt K. Lohman, Marcus E. Kleber, Yuri Milaneschi, Christian Mueller, Mahmudul Huq, Efthymia Vlachopoulou, Leo-Pekka Lyytikäinen, Christopher Oldmeadow, Joris Deelen, Markus Perola, Jing Hua Zhao, Bjarke Feenstra, Marzyeh Amini, Jari Lahti, Katharina E. Schraut, Myriam Fornage, Bhoom Suktitipat, Wei-Min Chen, Xiaohui Li, Teresa Nutile, Giovanni Malerba, Jian’an Luan, Tom Bak, Nicholas Schork, Fabiola Del Greco M., Elisabeth Thiering, Anubha Mahajan, Riccardo E. Marioni, Evelin Mihailov, Joel Eriksson, Ayse Bilge Ozel, Weihua Zhang, Maria Nethander, Yu-Ching Cheng, Stella Aslibekyan, Wei Ang, Ilaria Gandin, Loïc Yengo, Laura Portas, Charles Kooperberg, Edith Hofer, Kumar B. Rajan, Claudia Schurmann, Wouter den Hollander, Tarunveer S. Ahluwalia, Jing Zhao, Harmen H.M. Draisma, Ian Ford, Nicholas Timpson, Alexander Teumer, Hongyan Huang, Simone Wahl, YongMei Liu, Jie Huang, Hae-Won Uh, Frank Geller, Peter K. Joshi, Lisa R. Yanek, Elisabetta Trabetti, Benjamin Lehne, Diego Vozzi, Marie Verbanck, Ginevra Biino, Yasaman Saba, Ingrid Meulenbelt, Jeff R. O’Connell, Markku Laakso, Franco Giulianini, Patrik K.E. Magnusson, Christie M. Ballantyne, Jouke Jan Hottenga, Grant W. Montgomery, Fernando Rivadineira, Rico Rueedi, Maristella Steri, Karl-Heinz Herzig, David J. Stott, Cristina Menni, Mattias Frånberg, Beate St. Pourcain, Stephan B. Felix, Tune H. Pers, Stephan J.L. Bakker, Peter Kraft, Annette Peters, Dhananjay Vaidya, Graciela Delgado, Johannes H. Smit, Vera Großmann, Juha Sinisalo, Ilkka Seppälä, Stephen R. Williams, Elizabeth G. Holliday, Matthijs Moed, Claudia Langenberg, Katri Räikkönen, Jingzhong Ding, Harry Campbell, Michele M. Sale, Yii-Der I. Chen, Alan L. James, Daniela Ruggiero, Nicole Soranzo, Catharina A. Hartman, Erin N. Smith, Gerald S. Berenson, Christian Fuchsberger, Dena Hernandez, Carla M.T. Tiesler, Vilmantas Giedraitis, David Liewald, Krista Fischer, Dan Mellström, Anders Larsson, Yunmei Wang, William R. Scott, Matthias Lorentzon, John Beilby, Kathleen A. Ryan, Craig E. Pennell, Dragana Vuckovic, Beverly Balkau, Maria Pina Concas, Reinhold Schmidt, Carlos F. Mendes de Leon, Erwin P. Bottinger, Margreet Kloppenburg, Lavinia Paternoster, Michael Boehnke, A.W. Musk, Gonneke Willemsen, David M. Evans, Pamela A.F. Madden, Mika Kähönen, Zoltán Kutalik, Magdalena Zoledziewska, Ville Karhunen, Stephen B. Kritchevsky, Naveed Sattar, Genevieve Lachance, Robert Clarke, Tamara B. Harris, Olli T. Raitakari, John R. Attia, Diana van Heemst, Eero Kajantie, Rossella Sorice, Giovanni Gambaro, Robert A. Scott, Andrew A. Hicks, Luigi Ferrucci, Marie Standl, Cecilia M. Lindgren, John M. Starr, Magnus Karlsson, Lars Lind, Jun Z. Li, John C. Chambers, Trevor A. Mori, Eco J.C.N. de Geus, Andrew C. Heath, Nicholas G. Martin, Juha Auvinen, Brendan M. Buckley, Anton J.M. de Craen, Melanie Waldenberger, Konstantin Strauch, Thomas Meitinger, Rodney J. Scott, Mark McEvoy, Marian Beekman, Cristina Bombieri, Paul M. Ridker, Karen L. Mohlke, Nancy L. Pedersen, Alanna C. Morrison, Dorret I. Boomsma, John B. Whitfield, David P. Strachan, Albert Hofman, Peter Vollenweider, Francesco Cucca, Marjo-Riitta Jarvelin, J. Wouter Jukema, Tim D. Spector, Anders Hamsten, Tanja Zeller, André G. Uitterlinden, Matthias Nauck, Vilmundur Gudnason, Lu Qi, Harald Grallert, Ingrid B. Borecki, Jerome I. Rotter, Winfried März, Philipp S. Wild, Marja-Liisa Lokki, Michael Boyle, Veikko Salomaa, Mads Melbye, Johan G. Eriksson, James F. Wilson, Brenda W.J.H. Penninx, Diane M. Becker, Bradford B. Worrall, Greg Gibson, Ronald M. Krauss, Marina Ciullo, Gianluigi Zaza, Nicholas J. Wareham, Albertine J. Oldehinkel, Lyle J. Palmer, Sarah S. Murray, Peter P. Pramstaller, Stefania Bandinelli, Joachim Heinrich, Erik Ingelsson, Ian J. Deary, Reedik Mägi, Liesbeth Vandenput, Pim van der Harst, Karl C. Desch, Jaspal S. Kooner, Claes Ohlsson, Caroline Hayward, Terho Lehtimäki, Alan R. Shuldiner, Donna K. Arnett, Lawrence J. Beilin, Antonietta Robino, Philippe Froguel, Mario Pirastu, Tine Jess, Wolfgang Koenig, Ruth J.F. Loos, Denis A. Evans, Helena Schmidt, George Davey Smith, P. Eline Slagboom, Gudny Eiriksdottir, Andrew P. Morris, Bruce M. Psaty, Russell P. Tracy, Ilja M. Nolte, Eric Boerwinkle, Sophie Visvikis-Siest, Alex P. Reiner, Myron Gross, Joshua C. Bis, Lude Franke, Oscar H. Franco, Emelia J. Benjamin, Daniel I. Chasman, Josée Dupuis, Harold Snieder, Abbas Dehghan, Behrooz Z. Alizadeh, H. Marike Boezen, Gerjan Navis, Marianne Rots, Morris Swertz, Bruce H.R. Wolffenbuttel, Cisca Wijmenga, Emelia Benjamin, Tarunveer Singh Ahluwalia, James Meigs, Russell Tracy, Josh Bis, Nathan Pankratz, Alex Rainer, James G. Wilson, Josee Dupuis, Bram Prins, Urmo Vaso, Maria Stathopoulou, Terho Lehtimaki, Yalda Jamshidi, Sophie Siest, Andre G. Uitterlinden, Mohammadreza Abdollahi, Renate Schnabel, Ursula M. Schick, Aldi Kraja, Yi-Hsiang Hsu, Daniel S. Tylee, Alyson Zwicker, Rudolf Uher, George Davey-Smith, Andrew Hicks, Cornelia M. van Duijn, Cavin Ward-Caviness, J. Rotter, Ken Rice, Leslie Lange, Eco de Geus, Kari Matti Makela, David Stacey, Johan Eriksson, Tim M. Frayling, Eline P. Slagboom, Erasmus University Medical Center [Rotterdam] (Erasmus MC), University Medical Center Groningen [Groningen] (UMCG), University of Isfahan, University of Tartu, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), The University of Texas Health Science Center at Houston (UTHealth), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Brigham and Women's Hospital [Boston], University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], University of Split, Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Process & Energy Laboratory, Delft University of Technology (TU Delft), Grand Lyon : communauté urbaine de Lyon, Interuniversity Cardiology Institute Netherlands, Department of Twin Research and Genetic Epidemiology, King's College London, London, Huazhong University of Science and Technology [Wuhan] (HUST), Division of Statistical Genomics, Washington University School of Medicine, Department of Psychiatry, VU University Medical Center [Amsterdam], Institut fuer Theoretische Physik (Institut fuer Theoretische Physik), Universität Heidelberg [Heidelberg] = Heidelberg University, Molecular Epidemiology, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Mahidol University [Bangkok], Northwest A and F University, Laboratoire d'Optimisation des Systèmes Industriels (LOSI), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Institute of Genetics and Biophysics, CNR, Naples, Università degli studi di Verona = University of Verona (UNIVR), Department of Molecular Medicine [Scripps Research Institute], The Scripps Research Institute [La Jolla, San Diego], Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Department of Electrical and Computer Engineering [Waterloo] (ECE), University of Waterloo [Waterloo], University of Maryland School of Medicine, University of Maryland System, Institut National de l'Environnement Industriel et des Risques (INERIS), Institute of Pop. Genetics, CNR, Sassari, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, IT University of Copenhagen (ITU), Robertson Centre for Biostatistics, University of Glasgow, Centre for Causal Analyses in Translational Epidemiology, University of Bristol [Bristol]-Medical Research Council, King‘s College London, Jinan University [Guangzhou], Institute of Oceanology [China], School Medicine, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Shardna life science Pula Cagliari, Section Molecular Epidemiology, Leiden University Medical Center (LUMC), Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Medstar Research Institute, Department of Cardiology, Ernst-Moritz-Arndt University, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Department of Internal Medicine, University of Groningen and University Medical Center Groningen, Department of Epidemiology, Harvard School of Public Health, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Metacohorts Consortium, INEOS Technologies (SWITZERLAND), MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, University of Edinburgh, School of Population Health [Crawley, Western Australia], The University of Western Australia (UWA), Institute of Genetics and Biophysics, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), The Scripps Translational Science Institute and Scripps Health, Tulane Center for Cardiovascular Health, Tulane University Health Sciences Center, Centre for Population Health Sciences, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Luleå University of Technology (LUT), Recherche en épidémiologie et biostatistique, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Austrian Institute of Technology [Vienna] (AIT), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Rheumatology and Clinical Epidemiology, Leiden University Medical Center (LUMC), Department of Rheumatology and Clinical Epidemiology [Leiden University Medical Center] (LUMC), Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden-Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, University of Virginia, Tampere University Hospital, Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Department of Pathological Biochemistry, Royal Infirmary, Oxford University, University of Oxford, University of Newcastle [Callaghan, Australia] (UoN), Department of neurology, Institute of Metabolic Science, MRC, The Wellcome Trust Centre for Human Genetics [Oxford], Uppsala Universitet [Uppsala], QIMR Berghofer Medical Research Institute, Institute of Genetic Epidemiology [Neuherberg, Germany], Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Schizophrenia Research Institute [Sydney], Department of Genetics, University of North Carolina System (UNC)-University of North Carolina System (UNC), Vrije Universiteit Brussel (VUB), Population Health Sciences and Education, St George's University of London, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Institute of Health Sciences and Biocenter Oulu, University of Oulu, Medizinische Klinik und Poliklinik, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Institute of Clinical Chemistry and Laboratory Medicine, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Departments of Epidemiology and Nutrition, Institute of Epidemiology [Neuherberg] (EPI), Medical University Graz, Transplantation Laboratory [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], CLinical Psychology, Genetics and Pathology, Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Center For Narcolepsy, Stanford University, Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, MRC Human Gentics Unit, Inst Genet and Mol Med, Western General Hospital, Edinburgh, University of Maryland School of Medicine [Baltimore, MD, USA], Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Department of Physics [Stockholm], Stockholm University, University of Bristol [Bristol], Universiteit Leiden, Department of Epidemiology, University of Washington, University of Washington [Seattle], Department of Epidemiology [Rotterdam], University of Groningen [Groningen], Dutch Initiative on Crohn and Colitis (ICC), Icelandic Heart Association [Kopavogur, Iceland] (IHA), Department of Physiology and Biophysics [Jackson, MS, USA], University of Southern Mississippi (USM), Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Faculty of Medicine and Life Sciences [Tampere], University of Tampere [Finland], German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council-Cardiff University, Department of Social Medicine, School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Department of Medicine [Aurora, CO, USA], University of Colorado [Denver], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Mathematical Institute [Oxford] (MI), Institute of Psychiatry, Psychology & Neuroscience, King's College London, LifeLines Cohort Study, CHARGE Inflammation Working Group, Ligthart, S., Vaez, A., Vosa, U., Stathopoulou, M. G., de Vries, P. S., Prins, B. P., Van der Most, P. J., Tanaka, T., Naderi, E., Rose, L. M., Wu, Y., Karlsson, R., Barbalic, M., Lin, H., Pool, R., Zhu, G., Mace, A., Sidore, C., Trompet, S., Mangino, M., Sabater-Lleal, M., Kemp, J. P., Abbasi, A., Kacprowski, T., Verweij, N., Smith, A. V., Huang, T., Marzi, C., Feitosa, M. F., Lohman, K. K., Kleber, M. E., Milaneschi, Y., Mueller, C., Huq, M., Vlachopoulou, E., Lyytikainen, L. -P., Oldmeadow, C., Deelen, J., Perola, M., Zhao, J. H., Feenstra, B., Alizadeh, B. Z., Boezen, H. M., Franke, L., van der Harst, P., Navis, G., Rots, M., Snieder, H., Swertz, M., Wolffenbuttel, B. H. R., Wijmenga, C., Amini, M., Benjamin, E., Chasman, D. I., Dehghan, A., Ahluwalia, T. S., Meigs, J., Tracy, R., Bis, J., Eiriksdottir, G., Pankratz, N., Gross, M., Rainer, A., Wilson, J. G., Psaty, B. M., Dupuis, J., Prins, B., Vaso, U., Stathopoulou, M., Lehtimaki, T., Koenig, W., Jamshidi, Y., Siest, S., Uitterlinden, A. G., Abdollahi, M., Schnabel, R., Schick, U. M., Nolte, I. M., Kraja, A., Hsu, Y. -H., Tylee, D. S., Zwicker, A., Uher, R., Davey-Smith, G., Morrison, A. C., Hicks, A., van Duijn, C. M., Ward-Caviness, C., Boerwinkle, E., Rotter, J., Rice, K., Lange, L., de Geus, E., Morris, A. P., Makela, K. M., Stacey, D., Eriksson, J., Frayling, T. M., Slagboom, E. P., Lahti, J., Schraut, K. E., Fornage, M., Suktitipat, B., Chen, W. -M., Li, X., Nutile, T., Malerba, G., Luan, J., Bak, T., Schork, N., Del Greco, M. F., Thiering, E., Mahajan, A., Marioni, R. E., Mihailov, E., Ozel, A. B., Zhang, W., Nethander, M., Cheng, Y. -C., Aslibekyan, S., Ang, W., Gandin, I., Yengo, L., Portas, L., Kooperberg, C., Hofer, E., Rajan, K. B., Schurmann, C., den Hollander, W., Zhao, J., Draisma, H. H. M., Ford, I., Timpson, N., Teumer, A., Huang, H., Wahl, S., Liu, Y., Huang, J., Uh, H. -W., Geller, F., Joshi, P. K., Yanek, L. R., Trabetti, E., Lehne, B., Vozzi, D., Verbanck, M., Biino, G., Saba, Y., Meulenbelt, I., O'Connell, J. R., Laakso, M., Giulianini, F., Magnusson, P. K. E., Ballantyne, C. M., Hottenga, J. J., Montgomery, G. W., Rivadineira, F., Rueedi, R., Steri, M., Herzig, K. -H., Stott, D. J., Menni, C., Franberg, M., S, t. Pourcain B., Felix, S. B., Pers, T. H., Bakker, S. J. L., Kraft, P., Peters, A., Vaidya, D., Delgado, G., Smit, J. H., Grossmann, V., Sinisalo, J., Seppala, I., Williams, S. R., Holliday, E. G., Moed, M., Langenberg, C., Raikkonen, K., Ding, J., Campbell, H., Sale, M. M., Chen, Y. -D. I., James, A. L., Ruggiero, D., Soranzo, N., Hartman, C. A., Smith, E. N., Berenson, G. S., Fuchsberger, C., Hernandez, D., Tiesler, C. M. T., Giedraitis, V., Liewald, D., Fischer, K., Mellstrom, D., Larsson, A., Wang, Y., Scott, W. R., Lorentzon, M., Beilby, J., Ryan, K. A., Pennell, C. E., Vuckovic, D., Balkau, B., Concas, M. P., Schmidt, R., Mendes de Leon, C. F., Bottinger, E. P., Kloppenburg, M., Paternoster, L., Boehnke, M., Musk, A. W., Willemsen, G., Evans, D. M., Madden, P. A. F., Kahonen, M., Kutalik, Z., Zoledziewska, M., Karhunen, V., Kritchevsky, S. B., Sattar, N., Lachance, G., Clarke, R., Harris, T. B., Raitakari, O. T., Attia, J. R., van Heemst, D., Kajantie, E., Sorice, R., Gambaro, G., Scott, R. A., Hicks, A. A., Ferrucci, L., Standl, M., Lindgren, C. M., Starr, J. M., Karlsson, M., Lind, L., Li, J. Z., Chambers, J. C., Mori, T. A., de Geus, E. J. C. N., Heath, A. C., Martin, N. G., Auvinen, J., Buckley, B. M., de Craen, A. J. M., Waldenberger, M., Strauch, K., Meitinger, T., Scott, R. J., Mcevoy, M., Beekman, M., Bombieri, C., Ridker, P. M., Mohlke, K. L., Pedersen, N. L., Boomsma, D. I., Whitfield, J. B., Strachan, D. P., Hofman, A., Vollenweider, P., Cucca, F., Jarvelin, M. -R., Jukema, J. W., Spector, T. D., Hamsten, A., Zeller, T., Nauck, M., Gudnason, V., Qi, L., Grallert, H., Borecki, I. B., Rotter, J. I., Marz, W., Wild, P. S., Lokki, M. -L., Boyle, M., Salomaa, V., Melbye, M., Eriksson, J. G., Wilson, J. F., Penninx, B. W. J. H., Becker, D. M., Worrall, B. B., Gibson, G., Krauss, R. M., Ciullo, M., Zaza, G., Wareham, N. J., Oldehinkel, A. J., Palmer, L. J., Murray, S. S., Pramstaller, P. P., Bandinelli, S., Heinrich, J., Ingelsson, E., Deary, I. J., Magi, R., Vandenput, L., Desch, K. C., Kooner, J. S., Ohlsson, C., Hayward, C., Shuldiner, A. R., Arnett, D. K., Beilin, L. J., Robino, A., Froguel, P., Pirastu, M., Jess, T., Loos, R. J. F., Evans, D. A., Schmidt, H., Slagboom, P. E., Tracy, R. P., Visvikis-Siest, S., Reiner, A. P., Bis, J. C., Franco, O. H., Benjamin, E. J., AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, Epidemiology, Internal Medicine, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), VU University medical center, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, APH - Digital Health, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Universität Heidelberg [Heidelberg], University of Verona (UNIVR), Department of Molecular and Experimental Medicine, The Scripps Research Institute, The Scripps Research Institute, Université Grenoble Alpes - UFR Sciences de l'Homme et de la Société (UGA UFR SHS), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), IT University of Copenhagen, Technical University of Denmark [Lyngby] (DTU), Consiglio Nazionale delle Ricerche (CNR), University of Virginia [Charlottesville], Université de Lausanne (UNIL), University of Oxford [Oxford], University of Newcastle [Australia] (UoN), Centre d'économie industrielle i3 (CERNA i3), Centre National de la Recherche Scientifique (CNRS)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Helmholtz-Zentrum München (HZM), Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Universitätsmedizin der Johannes-Gutenberg Universität Mainz, University of Helsinki-University of Helsinki-Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Cardiff University-Medical Research Council, University of California-University of California, and DE CARVALHO, Philippe

Subjects
0301 basic medicine, Male, Netherlands Twin Register (NTR), Bipolar Disorder, LD SCORE REGRESSION, [SDV]Life Sciences [q-bio], Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, Body Mass Index, inflammatory disorder, 80 and over, WIDE ASSOCIATION, EPIDEMIOLOGY, ta318, International HapMap Project, Child, Genetics (clinical), 2. Zero hunger, Genetics, Genetics & Heredity, Aged, 80 and over, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, C-reactive proteingenome-wide association studyinflammationMendelian randomizationinflammatory disordersDEPICTcoronary artery diseaseschizophreniasystem biology, system biology, DEPICT, Mendelian Randomization Analysis, 11 Medical And Health Sciences, Middle Aged, C-reactive protein, coronary artery disease, genome-wide association study, inflammation, inflammatory disorders, Mendelian randomization, schizophrenia, Adolescent, Adult, Aged, Biomarkers, C-Reactive Protein, Female, Genetic Loci, Genome-Wide Association Study, Humans, Inflammation, Liver, Metabolic Networks and Pathways, Schizophrenia, Young Adult, 3. Good health, [SDV] Life Sciences [q-bio], Medical genetics, Biomarker (medicine), Life Sciences & Biomedicine, Human, medicine.medical_specialty, CHARGE Inflammation Working Group, Biology, IMMUNITY, ta3111, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, CORONARY-HEART-DISEASE, Mendelian Randomization Analysi, 1000 Genomes Project, METAANALYSIS, Genetic association, [SDV.GEN]Life Sciences [q-bio]/Genetics, Science & Technology, ta1184, Metabolic Networks and Pathway, Biomarker, INSTRUMENTS, 06 Biological Sciences, 030104 developmental biology, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, LifeLines Cohort Study
Abstract

International audience; C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10-8). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.Copyright © 2018 American Society of Human Genetics. All rights reserved.

Published
2018
Full Text
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32. [Untitled]

Author

Reis, R., Prins, B., Bodegom, D. van, Bussemaker, M., Pols, A.J., The, A.M., and Leiden University

Subjects
First-generation immigrants, Good care, Tinkering, Health care workers, Established care workers, Germany, Workforce integration, Nurses, International care workers, Netherlands
Abstract

In response to the shortage of nursing staff and the so-called refugee crisis in 2015, two residential homes invited first-generation immigrants with a refugee background to participate in a project for nursing education, orientation and internships. Between 2015 and 2018, a group of ten immigrants started working in a Dutch residential home and a group of seventeen immigrants in the German home. This dissertation investigates the social processes when these newcomers start working with the established staff, as well as the extent to which their mutual interactions and values of good care influence the enactment of geriatric care. Using ethnographic observations (305 hours), in-depth interviews (44) and six focus groups (24), the established care workers and immigrants were followed in both homes. The empirical data shows that institutional constraints, such as staff shortage, the imposition of professional norms, gossip used as a ‘weapon of the weak’, mutual suspicions of indifference, and collective images of ‘us’ versus ‘them’ affected the enactment of geriatric care. Their habitus stimulated them to tinker among each other as well as with different, sometimes conflicting, values of good care. However, both groups shared the feeling of ignorance by management, a pain of not mattering.

Published
2022

33. Who cares?

Author

Ham, A., Reis, R., Prins, B., Bodegom, D. van, Bussemaker, M., Pols, A.J., The, A.M., and Leiden University

Subjects
First-generation immigrants, Good care, Tinkering, Health care workers, Established care workers, Germany, Workforce integration, Nurses, International care workers, Netherlands
Abstract

In response to the shortage of nursing staff and the so-called refugee crisis in 2015, two residential homes invited first-generation immigrants with a refugee background to participate in a project for nursing education, orientation and internships. Between 2015 and 2018, a group of ten immigrants started working in a Dutch residential home and a group of seventeen immigrants in the German home. This dissertation investigates the social processes when these newcomers start working with the established staff, as well as the extent to which their mutual interactions and values of good care influence the enactment of geriatric care. Using ethnographic observations (305 hours), in-depth interviews (44) and six focus groups (24), the established care workers and immigrants were followed in both homes. The empirical data shows that institutional constraints, such as staff shortage, the imposition of professional norms, gossip used as a ‘weapon of the weak’, mutual suspicions of indifference, and collective images of ‘us’ versus ‘them’ affected the enactment of geriatric care. Their habitus stimulated them to tinker among each other as well as with different, sometimes conflicting, values of good care. However, both groups shared the feeling of ignorance by management, a pain of not mattering.

Published
2022

34. Balancing the social and financial sides of the coin: An action research on setting up financial self-help groups in the Netherlands

Author

Lehman, Julie-Marthe, Ghorashi, H, Smets, PGSM, Prins, B., Sociology, Identities, Diversity and Inclusion (IDI), and VU Amsterdam

Subjects
the Netherlands, economictheory, saving groups, SDG 8 - Decent Work and Economic Growth, self-help groups, informele spaarvormen, group membership, money, participation, financial transition, Nederland, social network, Savings groups, financial self-help groups, action research, capability approach, structuration theory, participation society, geld, Spaargroepen, financiele zelf-help groepen, actieonderzoek, capability approach, structuratietheorie, participatiesamenleving
Abstract

The theoretical framework of this dissertation is based on Amartya Sen’s capability approach (Chapter 2). In the early 1980s, development economist Amartya Sen developed the capability framework as a broad normative framework for the evaluation and assessment of individual well-being and social arrangements mainly in countries in the Global South (Sen, 1999, 2009). I chose the capability approach was chosen because of its strong focus on the notion of freedom as the capability to live the life each individual is aiming for. The freedom to choose a particular lifestyle is an intrinsic part of Sen’s notions of agency and well-being (Sen, 1999). After elaborating on notions of agency and well-being in detail, I turn to the role of financial self-help groups and how their members are influenced by social structures. This chapter concludes by operationalizing the theoretical framework into three capabilities (C1–C3) that serve as sensitizing concepts throughout the dissertation. These capabilities focus on the potential impact CAF groups have on members’ abilities to develop social networks (C1), to control their financial household management (C2), and to adopt an enterprising attitude (C3). Chapter 3 discusses my research methodology. I describe how the three capabilities (C1–C3) were applied as sensitizing concepts in the set-up of this particular action research (Blumer, 1954). I also explain in more detail how, by using sensitizing concepts, I combined an inductive research approach with a deductive angle. Then, I elaborate on the fundamental elements of this action research project: the implementation of the CAF groups as well as the collection and analysis of the empirical data. Finally, I reflect on how I designed and carried out this action research, with a special focus on the interaction between researcher and CAF members as research participants. A more detailed background description of the Dutch financial landscape is provided in Chapter 4. The chapter focuses on two particular financial self-help groups: ROSCAs among Ethiopians and Ghanaians living in the Netherlands. Compared to the formal banking system dominating the current financial landscape, these financial self-help groups claim effectivity instead of efficiency in the operation and management of their respective groups. By exploring developments in the current financial landscape, this chapter argues that distinguishing different kinds of resilience creates possibilities for analysing the different roles of financial arrangements and institutions for the financial landscape. Thus, this explorative study on ROSCAs questions the dominance of the financial side of the coin that has resulted from the efficiency-driven institutions of the financial sector. Chapter 5 presents each CAF group in more detail. The reader gets to know the different members of each CAF group and their motivations to join. Financial performance is assessed according to members’ savings and loan behaviour during the period of their participation. The quantitative data is analysed on how much the members of a respective CAF group saved and how much they borrowed from the group’s fund during the entire period of the research. These insights help the reader to better understand the differences and similarities between the five CAF groups. Chapter 6 discusses the empirical findings from the first three CAF groups. This chapter explores whether and how participation in a CAF group improves individuals’ well-being with regard to expanding their social networks, improving their financial household management, and strengthening their entrepreneurial positions. It also shows how participating in CAF groups at the grassroots level contributes to the well- Balancing the social and financial sides of the coin26being of vulnerable people in the Netherlands. Finally, the chapter reconsiders Sen’s notion of freedom for the particular context of overconsumption, inequality, and overindebtedness. In applying Sen’s capability approach, I realized that the approach has a “blind spot” regarding individuals’ possible impacts on the structures within and around them. By adding notions of Giddens’s structuration theory to the core concepts of the capability approach, I rendered the capability approach more sensitive to how CAF-group members may interact with their surrounding structures (Chapter 7). The relation between individuals and surrounding societal structures is extensively discussed in what is often referred to as the agency-structure debate (Ritzer, 2003). This debate is based on differing views about whether and to what extent individuals have a free will and can act according to their preferences, values, and personal feelings, or to what extent they are the “product” of their surrounding social structures. By expanding the capability approach with the notions of internal structures, on the one hand, and more proximate and more distant societal structures, on the other (Stones, 2008), I detail not only how individual agents are influenced by their surrounding structures, but how they might also have – however small and modest – an impact on those structures themselves. As a result, this chapter not only provides answers to how CAF-group participation affects individual members’ access to social networks, their financial household management, and their entrepreneurial positioning, but it also enabled me to investigate how and why individuals join a CAF group to take part in a so-called countermovement. Thus, I also consider how CAF members could possibly play a role in their surrounding social structures, like the existing financial landscape and the emerging participation society in the Netherlands.One way in which a CAF group can play a role in the surrounding structures is to become a community of practice. Wenger (1998) describes a community of practice as a group of people who share a certain domain of interest that distinguishes them from others. In a community of practice, it is crucial to learn from each other by engaging in joint activities and discussions. To discuss whether and how some of the CAF groups studied here turned into a community of practice, I apply the criteria of a common goal, trust, democratic leadership, and accumulation of knowledge in Chapter 8. The application of these criteria to the functioning of the CAF groups also provides more insight into how members interacted which each other in the different CAF groups. I will show how two of the five CAF groups indeed turned into communities of practice. Chapter 9 concludes this dissertation by linking the empirical findings on the individual level (Chapters 6 and 7) with those on the group level (Chapter 8). I follow this with a general discussion of the main contribution to theory development made by the Balancing the social and financial sides of the coin27expansion of Sen’s capability approach with Giddens’s structuration theory. Then, I discuss the role of CAF groups in enabling individual participants to balance the social and financial sides of the coin. Finally, I conclude this dissertation by showing how CAF groups have the potential to empower their members to meet the expectations of the participation society and the challenges of the contemporary financial landscape. I also provide recommendations for how engaged scholars doing action research can be reflective about the way they interact with their research participants and for how practitioners can set up CAF groups in the field. In the Epilogue, I tell the story of Cash2Grow. Based on the experiences and findings of my research, I co-founded the Cash2Grow foundation to promote savings groups in the Netherlands as a tool for financial and social empowerment. By developing improved savings-group methodologies and financial education tools, the foundation aims to train staff and volunteers from different types of (welfare) organizations to establish savings groups among their target populations. At the moment, we are also collaborating with similar organizations in Spain, Italy, Germany, and Poland to learn more from each other in a project subsidized by the EU.

Published
2021

35. Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids

Author

Bentley, Amy R, Sung, Yun J, Brown, Michael R, Winkler, Thomas W, Kraja, Aldi T, Ntalla, Ioanna, Schwander, Karen, Chasman, Daniel I, Lim, Elise, Deng, Xuan, Guo, Xiuqing, Liu, Jingmin, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Baker, Jenna, Chen, Guanjie, Aschard, Hugues, Bartz, Traci M, Ding, Jingzhong, Dorajoo, Rajkumar, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Zhao, Wei, Graff, Mariaelisa, Alver, Maris, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelos, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea RVR, Hsu, Fang-Chi, Hung, Yi-Jen, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kuehnel, Brigitte, Leander, Karin, Lin, Keng-Hung, Luan, Jian'an, Lyytikainen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Prins, Bram, Riaz, Muhammad, Robino, Antonietta, Said, M Abdullah, Schupf, Nicole, Scott, Robert A, Sofer, Tamar, Stancakova, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Tzung-Dau, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Xiang, Yong-Bing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Adeyemo, Adebowale, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Arzumanyan, Zorayr, Aung, Tin, Ballantyne, Christie, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Broeckel, Ulrich, Brown, Morris, Cade, Brian E, Campbell, Archie, Canouil, Mickael, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Christensen, Kaare, Concas, Maria Pina, Connell, John M, de las Fuentes, Lisa, de Silva, H Janaka, de Vries, Paul S, Doumatey, Ayo, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Floyd, James S, Forouhi, Nita G, Forrester, Terrence, Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gharib, Sina A, Gigante, Bruna, Giulianini, Franco, Grabe, Hans J, Gu, C Charles, Harris, Tamara B, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hixson, James E, Ikram, M Arfan, Jia, Yucheng, Joehanes, Roby, Johnson, Craig, Jonas, Jost Bruno, Justice, Anne E, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpelainen, Tuomas O, Koh, Woon-Puay, Kolcic, Ivana, Kooperberg, Charles, Krieger, Jose E, Kritchevsky, Stephen B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lewis, Cora E, Li, Yize, Liang, Jingjing, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Kiang, Loh, Marie, Lohman, Kurt K, Louie, Tin, Luzzi, Anna, Magi, Reedik, Mahajan, Anubha, Manichaikul, Ani W, McKenzie, Colin A, Meitinger, Thomas, Metspalu, Andres, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Momozawa, Yukihide, Morris, Andrew P, Murray, Alison D, Nalls, Mike A, Nauck, Matthias, Nelson, Christopher P, North, Kari E, O'Connell, Jeffrey R, Palmer, Nicholette D, Papanicolau, George J, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Poulter, Neil, Raitakari, Olli T, Reiner, Alex P, Renstrom, Frida, Rice, Treva K, Rich, Stephen S, Robinson, Jennifer G, Rose, Lynda M, Rosendaal, Frits R, Rudan, Igor, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Shi, Yuan, Sidney, Stephen, Sims, Mario, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Stringham, Heather M, Tan, Nicholas YQ, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Tiemeier, Henning, Turner, Stephen T, Uitterlinden, Andre G, van Heemst, Diana, Waldenberger, Melanie, Wang, Heming, Wang, Lan, Wang, Lihua, Wei, Wen Bin, Williams, Christine A, Sr, Wilson Gregory, Wojczynski, Mary K, Yao, Jie, Young, Kristin, Yu, Caizheng, Yuan, Jian-Min, Zhou, Jie, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Cooper, Richard S, de Faire, Ulf, Deary, Ian J, Elliott, Paul, Esko, Tonu, Farrall, Martin, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo L, Juang, Jyh-Ming Jimmy, Kamatani, Yoichiro, Kammerer, Candace M, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Laurie, Cathy C, Lee, I-Te, Lehtimaki, Terho, Magnusson, Patrik KE, Oldehinkel, Albertine J, Penninx, Brenda WJH, Pereira, Alexandre C, Rauramaa, Rainer, Redline, Susan, Samani, Nilesh J, Scott, James, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wang, Jun-Sing, Wang, Ya Xing, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Wu, Tangchun, Zeggini, Eleftheria, Zheng, Wei, Bouchard, Claude, Evans, Michele K, Gudnason, Vilmundur, Kardia, Sharon LR, Liu, Yongmei, Psaty, Bruce M, Ridker, Paul M, van Dam, Rob M, Mook-Kanamori, Dennis O, Fornage, Myriam, Province, Michael A, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth JF, Franceschini, Nora, Rotter, Jerome I, Zhu, Xiaofeng, Bierut, Laura J, Gauderman, W James, Rice, Kenneth, Munroe, Patricia B, Morrison, Alanna C, Rao, Dabeeru C, Rotimi, Charles N, Cupples, L Adrienne, Consortium, COGENT-Kidney, Consortium, EPIC-InterAct, Grp, Understanding Soc Sci, Cohort, Lifelines, National Institutes of Health [Bethesda] (NIH), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), The University of Texas Health Science Center at Houston (UTHealth), Universität Regensburg (UR), Queen Mary University of London (QMUL), Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), School of Public Health [Boston], Boston University [Boston] (BU), Los Angeles Biomedical Research Institute (LA BioMed), Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Singapore Eye Research Institute [Singapore] (SERI), Duke-NUS Medical School [Singapore], National University of Singapore (NUS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Edinburgh, University of Mississippi Medical Center (UMMC), University of Georgia [USA], Leiden University Medical Center (LUMC), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard T.H. Chan School of Public Health, University of Washington [Seattle], Wake Forest University, Genome Institute of Singapore (GIS), Massachusetts General Hospital [Boston], Pennington Biomedical Research Center, Louisiana State University (LSU), Icelandic Heart Association [Kopavogur, Iceland] (IHA), University of Iceland [Reykjavik], University of Michigan [Ann Arbor], University of Michigan System, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Tartu, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Karolinska Institutet [Stockholm], Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center, Imperial College London, University of Ioannina, University of Oxford [Oxford], University of Groningen [Groningen], Universidade Federal de Pelotas = Federal University of Pelotas (UFPel), University of Bristol [Bristol], Huazhong University of Science and Technology [Wuhan] (HUST), Universidade de São Paulo Medical School (FMUSP), Case Western Reserve University [Cleveland], University of Southern California (USC), This project was largely supported by a grant from the US National Heart, Lung, and Blood Institute of the National Institutes of Health (R01HL118305) and by the Intramural Research Program of the National Human Genome Research Institute of the National Institutes of Health through the Center for Research on Genomics and Global Health (CRGGH). The CRGGH is supported by the National Human Genome Research Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Center for Information Technology, and the Office of the Director at the National Institutes of Health (Z01HG200362)., Bentley, Ar, Sung, Yj, Brown, Mr, Winkler, Tw, Kraja, At, Ntalla, I, Schwander, K, Chasman, Di, Lim, E, Deng, X, Guo, X, Liu, J, Lu, Y, Cheng, Cy, Sim, X, Vojinovic, D, Huffman, Je, Musani, Sk, Li, C, Feitosa, Mf, Richard, Ma, Noordam, R, Baker, J, Chen, G, Aschard, H, Bartz, Tm, Ding, J, Dorajoo, R, Manning, Ak, Rankinen, T, Smith, Av, Tajuddin, Sm, Zhao, W, Graff, M, Alver, M, Boissel, M, Chai, Jf, Chen, X, Divers, J, Evangelou, E, Gao, C, Goel, A, Hagemeijer, Y, Harris, Se, Hartwig, Fp, He, M, Horimoto, Arvr, Hsu, Fc, Hung, Yj, Jackson, Au, Kasturiratne, A, Komulainen, P, Kühnel, B, Leander, K, Lin, Kh, Luan, J, Lyytikäinen, Lp, Matoba, N, Nolte, Im, Pietzner, M, Prins, B, Riaz, M, Robino, A, Said, Ma, Schupf, N, Scott, Ra, Sofer, T, Stancáková, A, Takeuchi, F, Tayo, Bo, van der Most, Pj, Varga, Tv, Wang, Td, Wang, Y, Ware, Eb, Wen, W, Xiang, Yb, Yanek, Lr, Zhang, W, Zhao, Jh, Adeyemo, A, Afaq, S, Amin, N, Amini, M, Arking, De, Arzumanyan, Z, Aung, T, Ballantyne, C, Barr, Rg, Bielak, Lf, Boerwinkle, E, Bottinger, Ep, Broeckel, U, Brown, M, Cade, Be, Campbell, A, Canouil, M, Charumathi, S, Chen, Yi, Christensen, K, COGENT-Kidney, Consortium, Concas, Mp, Connell, Jm, de Las Fuentes, L, de Silva, Hj, de Vries, P, Doumatey, A, Duan, Q, Eaton, Cb, Eppinga, Rn, Faul, Jd, Floyd, J, Forouhi, Ng, Forrester, T, Friedlander, Y, Gandin, I, Gao, H, Ghanbari, M, Gharib, Sa, Gigante, B, Giulianini, F, Grabe, Hj, Gu, Cc, Harris, Tb, Heikkinen, S, Heng, Ck, Hirata, M, Hixson, Je, Ikram, Ma, EPIC-InterAct, Consortium, Jia, Y, Joehanes, R, Johnson, C, Jonas, Jb, Justice, Ae, Katsuya, T, Khor, Cc, Kilpeläinen, To, Koh, Wp, Kolcic, I, Kooperberg, C, Krieger, Je, Kritchevsky, Sb, Kubo, M, Kuusisto, J, Lakka, Ta, Langefeld, Cd, Langenberg, C, Launer, Lj, Lehne, B, Lewis, Ce, Li, Y, Liang, J, Lin, S, Liu, Ct, Liu, K, Loh, M, Lohman, Kk, Louie, T, Luzzi, A, Mägi, R, Mahajan, A, Manichaikul, Aw, Mckenzie, Ca, Meitinger, T, Metspalu, A, Milaneschi, Y, Milani, L, Mohlke, Kl, Momozawa, Y, Morris, Ap, Murray, Ad, Nalls, Ma, Nauck, M, Nelson, Cp, North, Ke, O'Connell, Jr, Palmer, Nd, Papanicolau, Gj, Pedersen, Nl, Peters, A, Peyser, Pa, Polasek, O, Poulter, N, Raitakari, Ot, Reiner, Ap, Renström, F, Rice, Tk, Rich, S, Robinson, Jg, Rose, Lm, Rosendaal, Fr, Rudan, I, Schmidt, Co, Schreiner, Pj, Scott, Wr, Sever, P, Shi, Y, Sidney, S, Sims, M, Smith, Ja, Snieder, H, Starr, Jm, Strauch, K, Stringham, Hm, Tan, Nyq, Tang, H, Taylor, Kd, Teo, Yy, Tham, Yc, Tiemeier, H, Turner, St, Uitterlinden, Ag, Understanding Society Scientific, Group, van Heemst, D, Waldenberger, M, Wang, H, Wang, L, Wei, Wb, Williams, Ca, Wilson, G Sr, Wojczynski, Mk, Yao, J, Young, K, Yu, C, Yuan, Jm, Zhou, J, Zonderman, Ab, Becker, Dm, Boehnke, M, Bowden, Dw, Chambers, Jc, Cooper, R, de Faire, U, Deary, Ij, Elliott, P, Esko, T, Farrall, M, Franks, Pw, Freedman, Bi, Froguel, P, Gasparini, P, Gieger, C, Horta, Bl, Juang, Jj, Kamatani, Y, Kammerer, Cm, Kato, N, Kooner, J, Laakso, M, Laurie, Cc, Lee, It, Lehtimäki, T, Lifelines, Cohort, Magnusson, Pke, Oldehinkel, Aj, Penninx, Bwjh, Pereira, Ac, Rauramaa, R, Redline, S, Samani, Nj, Scott, J, Shu, Xo, van der Harst, P, Wagenknecht, Le, Wang, J, Wang, Yx, Wareham, Nj, Watkins, H, Weir, Dr, Wickremasinghe, Ar, Wu, T, Zeggini, E, Zheng, W, Bouchard, C, Evans, Mk, Gudnason, V, Kardia, Slr, Liu, Y, Psaty, Bm, Ridker, Pm, van Dam, Rm, Mook-Kanamori, Do, Fornage, M, Province, Ma, Kelly, Tn, Fox, Er, Hayward, C, van Duijn, Cm, Tai, E, Wong, Ty, Loos, Rjf, Franceschini, N, Rotter, Ji, Zhu, X, Bierut, Lj, Gauderman, Wj, Rice, K, Munroe, Pb, Morrison, Ac, Rao, Dc, Rotimi, Cn, Cupples, La., Luan, Jian'an [0000-0003-3137-6337], Pietzner, Maik [0000-0003-3437-9963], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Epidemiology, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), University of Oxford, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, and APH - Digital Health

Subjects
Male, Linkage disequilibrium, Blood lipids, Genome-wide association study, VARIANTS, SUSCEPTIBILITY, Environment interaction, Genome, Linkage Disequilibrium, MESH: Genotype, 0302 clinical medicine, MESH: Aged, 80 and over, Genotype, NICOTINE METABOLISM, 11 Medical and Health Sciences, Genetics & Heredity, Aged, 80 and over, Genetics, MESH: Aged, 0303 health sciences, ARCHITECTURE, [STAT.AP]Statistics [stat]/Applications [stat.AP], Genotype imputation, MESH: Middle Aged, CHOLESTEROL, Smoking, MESH: Life Style, Lifelines Cohort, Middle Aged, Lipids, 3. Good health, ENVIRONMENT INTERACTION, GENOTYPE IMPUTATION, RISK LOCI, METAANALYSIS, CIGARETTES, Cholesterol, MESH: Linkage Disequilibrium, MESH: Young Adult, Meta-analysis, Genome-Wide Association Study/methods, Smoking/blood, Medical genetics, Female, EPIC-InterAct Consortium, Life Sciences & Biomedicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Metaanalysi, Understanding Society Scientific Group, medicine.medical_specialty, MESH: Smoking, Adolescent, Genomics, COGENT-Kidney Consortium, Biology, Nicotine metabolism, Risk loci, Metaanalysis, Cigarettes, Article, Young Adult, 03 medical and health sciences, genomics, medicine, Humans, Linkage Disequilibrium/genetics, Life Style, Aged, 030304 developmental biology, MESH: Adolescent, Science & Technology, MESH: Humans, Lipids/blood, MESH: Adult, 06 Biological Sciences, MESH: Lipids, MESH: Male, cardiovascular diseases, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, genome-wide association studies, MESH: Genome-Wide Association Study, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Female, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract

The concentrations of high- and low-density lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 novel loci, some of which were detected only because the association differed by smoking status. Additionally, we demonstrated the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings., Editorial summary: A multi-ancestry genome-wide gene-smoking interaction study identifies 13 new loci associated with serum lipids.

Published
2019
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36. Role of common and rare variants in SCN10A: results from the Brugada syndrome QRS locus gene discovery collaborative study

Author

Peter Weeke, Bram P. Prins, Yalda Jamshidi, Stefan Kääb, Margherita Torchio, Evmorfia Petropoulou, Dan M. Roden, Sanjay Sharma, Eline A. Nannenberg, Lia Crotti, Pascale Guicheney, Javad Jabbari, Julien Barc, Tao Yang, Peter J. Schwartz, Anders G. Holst, Eleonora Savio-Galimberti, Morten S. Olesen, Michael J. Ackerman, Connie R. Bezzina, Vincent Probst, Yuka Mizusawa, Dawood Darbar, Elijah R. Behr, Arthur A.M. Wilde, Myriam Berthet, Rachel Bastiaenan, Richard Redon, Antoine Leenhardt, Federica Dagradi, Stig Haunsø, Jacob Tfelt-Hansen, Behr, E, Savio-Galimberti, E, Barc, J, Holst, A, Petropoulou, E, Prins, B, Jabbari, J, Torchio, M, Berthet, M, Mizusawa, Y, Yang, T, Nannenberg, E, Dagradi, F, Weeke, P, Bastiaenan, R, Ackerman, M, Haunso, S, Leenhardt, A, Kääb, S, Probst, V, Redon, R, Sharma, S, Wilde, A, Tfelt-Hansen, J, Schwartz, P, Roden, D, Bezzina, C, Olesen, M, Darbar, D, Guicheney, P, Crotti, L, Jamshidi, Y, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA), Physiopathologie et thérapie du muscle strié, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-Institut National de la Santé et de la Recherche Médicale (INSERM), School of Chemical Engineering [Anshan], University of Science and Technology LiaoNing (USTL), Rigshospitalet [Copenhagen], Copenhagen University Hospital, Service de Cardiologie, AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7)-PRES Sorbonne Paris Cité-Centre de Référence Maladies Cardiaques Héréditaires, unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche de l'institut du thorax (ITX-lab), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Cardiology, ACS - Amsterdam Cardiovascular Sciences, and Human Genetics

Subjects
Male, SCN10A, Candidate gene, QRS duration, Heredity, Physiology, [SDV]Life Sciences [q-bio], DNA Mutational Analysis, Action Potentials, Gene Frequency, Risk Factors, Databases, Genetic, Odds Ratio, humans, Exome sequencing, Brugada syndrome, Genetics, adult, Single Nucleotide, Middle Aged, Pedigree, 3. Good health, Europe, Phenotype, Female, Corrigendum, Cardiology and Cardiovascular Medicine, Saudi Arabia, BIO/18 - GENETICA, Biology, Transfection, Polymorphism, Single Nucleotide, Sudden death, Cell Line, NAV1.8 Voltage-Gated Sodium Channel, Databases, Genetic, Physiology (medical), Cardiac conduction, medicine, Genetic Predisposition to Disease, Polymorphism, Allele, Allele frequency, Genetic Association Studies, MED/01 - STATISTICA MEDICA, Aged, Genetic heterogeneity, Computational Biology, Rare variant, Rare variants, Original Articles, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, medicine.disease, United States, Case-Control Studies
Abstract

International audience; AIMS: Brugada syndrome (BrS) remains genetically heterogeneous and is associated with slowed cardiac conduction. We aimed to identify genetic variation in BrS cases at loci associated with QRS duration. METHODS AND RESULTS: A multi-centre study sequenced seven candidate genes (SCN10A, HAND1, PLN, CASQ2, TKT, TBX3, and TBX5) in 156 Caucasian SCN5A mutation-negative BrS patients (80% male; mean age 48) with symptoms (64%) and/or a family history of sudden death (47%) or BrS (18%). Forty-nine variants were identified: 18 were rare (MAF \textless1%) and non-synonymous; and 11/18 (61.1%), mostly in SCN10A, were predicted as pathogenic using multiple bioinformatics tools. Allele frequencies were compared with the Exome Sequencing and UK10K Projects. SKAT methods tested rare variation in SCN10A finding no statistically significant difference between cases and controls. Co-segregation analysis was possible for four of seven probands carrying a novel pathogenic variant. Only one pedigree (I671V/G1299A in SCN10A) showed co-segregation. The SCN10A SNP V1073 was, however, associated strongly with BrS [66.9 vs. 40.1% (UK10K) OR (95% CI) = 3.02 (2.35-3.87), P = 8.07 × 10-19]. Voltage-clamp experiments for NaV1.8 were performed for SCN10A common variants V1073, A1073, and rare variants of interest: A200V and I671V. V1073, A200V and I671V, demonstrated significant reductions in peak INa compared with ancestral allele A1073 (rs6795970). CONCLUSION: Rare variants in the screened QRS-associated genes (including SCN10A) are not responsible for a significant proportion of SCN5A mutation negative BrS. The common SNP SCN10A V1073 was strongly associated with BrS and demonstrated loss of NaV1.8 function, as did rare variants in isolated patients.

Published
2015
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37. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization.

Author

Willems SM, Ng NHJ, Fernandez J, Fine RS, Wheeler E, Wessel J, Kitajima H, Marenne G, Sim X, Yaghootkar H, Wang S, Chen S, Chen Y, Chen YI, Grarup N, Li-Gao R, Varga TV, Asimit JL, Feng S, Strawbridge RJ, Kleinbrink EL, Ahluwalia TS, An P, Appel EV, Arking DE, Auvinen J, Bielak LF, Bihlmeyer NA, Bork-Jensen J, Brody JA, Campbell A, Chu AY, Davies G, Demirkan A, Floyd JS, Giulianini F, Guo X, Gustafsson S, Jackson AU, Jakobsdottir J, Järvelin MR, Jensen RA, Kanoni S, Keinanen-Kiukaanniemi S, Li M, Lu Y, Luan J, Manning AK, Marten J, Meidtner K, Mook-Kanamori DO, Muka T, Pistis G, Prins B, Rice KM, Sanna S, Smith AV, Smith JA, Southam L, Stringham HM, Tragante V, van der Laan SW, Warren HR, Yao J, Yiorkas AM, Zhang W, Zhao W, Graff M, Highland HM, Justice AE, Marouli E, Medina-Gomez C, Afaq S, Alhejily WA, Amin N, Asselbergs FW, Bonnycastle LL, Bots ML, Brandslund I, Chen J, Danesh J, de Mutsert R, Dehghan A, Ebeling T, Elliott P, Farmaki AE, Faul JD, Franks PW, Franks S, Fritsche A, Gjesing AP, Goodarzi MO, Gudnason V, Hallmans G, Harris TB, Herzig KH, Hivert MF, Jørgensen T, Jørgensen ME, Jousilahti P, Kajantie E, Karaleftheri M, Kardia SLR, Kinnunen L, Koistinen HA, Komulainen P, Kovacs P, Kuusisto J, Laakso M, Lange LA, Launer LJ, Leong A, Lindström J, Manning Fox JE, Männistö S, Maruthur NM, Moilanen L, Mulas A, Nalls MA, Neville M, Pankow JS, Pattie A, Petersen ERB, Puolijoki H, Rasheed A, Redmond P, Renström F, Roden M, Saleheen D, Saltevo J, Savonen K, Sebert S, Skaaby T, Small KS, Stančáková A, Stokholm J, Strauch K, Tai ES, Taylor KD, Thuesen BH, Tönjes A, Tsafantakis E, Tuomi T, Tuomilehto J, Uusitupa M, Vääräsmäki M, Vaartjes I, Zoledziewska M, Abecasis G, Balkau B, Bisgaard H, Blakemore AI, Blüher M, Boeing H, Boerwinkle E, Bønnelykke K, Bottinger EP, Caulfield MJ, Chambers JC, Chasman DI, Cheng CY, Collins FS, Coresh J, Cucca F, de Borst GJ, Deary IJ, Dedoussis G, Deloukas P, den Ruijter HM, Dupuis J, Evans MK, Ferrannini E, Franco OH, Grallert H, Hansen T, Hattersley AT, Hayward C, Hirschhorn JN, Ikram A, Ingelsson E, Karpe F, Kaw KT, Kiess W, Kooner JS, Körner A, Lakka T, Langenberg C, Lind L, Lindgren CM, Linneberg A, Lipovich L, Liu CT, Liu J, Liu Y, Loos RJF, MacDonald PE, Mohlke KL, Morris AD, Munroe PB, Murray A, Padmanabhan S, Palmer CNA, Pasterkamp G, Pedersen O, Peyser PA, Polasek O, Porteous D, Province MA, Psaty BM, Rauramaa R, Ridker PM, Rolandsson O, Rorsman P, Rosendaal FR, Rudan I, Salomaa V, Schulze MB, Sladek R, Smith BH, Spector TD, Starr JM, Stumvoll M, van Duijn CM, Walker M, Wareham NJ, Weir DR, Wilson JG, Wong TY, Zeggini E, Zonderman AB, Rotter JI, Morris AP, Boehnke M, Florez JC, McCarthy MI, Meigs JB, Mahajan A, Scott RA, Gloyn AL, and Barroso I

Abstract

Background: Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways., Methods: To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses., Results: Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology., Conclusions: Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries., Competing Interests: Competing interests: Rebecca S. Fine: Rebecca S. Fine is currently employed by Vertex Pharmaceuticals Incorporated. Audrey Y Chu: Currently employed by GlaxoSmithkline. Dennis O. Mook-Kanamori: Dennis Mook-Kanamori is working as a part-time clinical research consultant for Metabolon, Inc. Paul W. Franks: PWF has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project. Mike A. Nalls: Dr. Mike A. Nalls is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. Dr. Nalls also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. Mark J. Caulfield: MJC is Chief Scientist for Genomics England, a UK government company. Joel N. Hirschhorn: JHN is on the scientific advisory board of Camp4 Therapeutics. Erik Ingelsson: Erik Ingelsson is now an employee of GlaxoSmithKline. Anubha Mahajan: Anubha Mahajan is an employee of Genentech since January 2020, and a holder of Roche stock. Mark I McCarthy: The views expressed in this article are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health. MMcC has served on advisory panels for Pfizer, NovoNordisk and Zoe Global, has received honoraria from Merck, Pfizer, Novo Nordisk and Eli Lilly, and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda. As of June 2019, MMcC is an employee of Genentech, and a holder of Roche stock. Inês Barroso: IB and spouse declare stock ownership in GlaxoSmithkline and Incyte Ltd. James B. Meigs: JBM serves as an Academic Associate for Quest Diagnostics R&D Bruce M Psaty serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Dr. Sander W. van der Laan has received Roche funding for unrelated work. Matthias Blüher received honoraria as a consultant and speaker from Amgen, AstraZeneca, Bayer, Boehringer-Ingelheim, Lilly, Novo Nordisk, Novartis, Pfizer and Sanofi. Vinicius Tragante: VT became an employee of deCODE genetics/Amgen Inc. after the conclusion of this work Dr Franco is employed by ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.) and Metagenics., (Copyright: © 2023 Willems SM et al.)

Published
2023
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38. Plasma proteomic associations with genetics and health in the UK Biobank.

Author

Sun BB, Chiou J, Traylor M, Benner C, Hsu YH, Richardson TG, Surendran P, Mahajan A, Robins C, Vasquez-Grinnell SG, Hou L, Kvikstad EM, Burren OS, Davitte J, Ferber KL, Gillies CE, Hedman ÅK, Hu S, Lin T, Mikkilineni R, Pendergrass RK, Pickering C, Prins B, Baird D, Chen CY, Ward LD, Deaton AM, Welsh S, Willis CM, Lehner N, Arnold M, Wörheide MA, Suhre K, Kastenmüller G, Sethi A, Cule M, Raj A, Burkitt-Gray L, Melamud E, Black MH, Fauman EB, Howson JMM, Kang HM, McCarthy MI, Nioi P, Petrovski S, Scott RA, Smith EN, Szalma S, Waterworth DM, Mitnaul LJ, Szustakowski JD, Gibson BW, Miller MR, and Whelan CD

Subjects
Humans, ABO Blood-Group System genetics, COVID-19 genetics, Drug Discovery, Epistasis, Genetic, Fucosyltransferases metabolism, Genetic Predisposition to Disease, Plasma chemistry, Proprotein Convertase 9 metabolism, Public-Private Sector Partnerships, Quantitative Trait Loci, United Kingdom, Galactoside 2-alpha-L-fucosyltransferase, Biological Specimen Banks, Blood Proteins analysis, Blood Proteins genetics, Databases, Factual, Genomics, Health, Proteome analysis, Proteome genetics, Proteomics
Abstract

The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. Here we provide a detailed summary of this initiative, including technical and biological validations, insights into proteomic disease signatures, and prediction modelling for various demographic and health indicators. We present comprehensive protein quantitative trait locus (pQTL) mapping of 2,923 proteins that identifies 14,287 primary genetic associations, of which 81% are previously undescribed, alongside ancestry-specific pQTL mapping in non-European individuals. The study provides an updated characterization of the genetic architecture of the plasma proteome, contextualized with projected pQTL discovery rates as sample sizes and proteomic assay coverages increase over time. We offer extensive insights into trans pQTLs across multiple biological domains, highlight genetic influences on ligand-receptor interactions and pathway perturbations across a diverse collection of cytokines and complement networks, and illustrate long-range epistatic effects of ABO blood group and FUT2 secretor status on proteins with gastrointestinal tissue-enriched expression. We demonstrate the utility of these data for drug discovery by extending the genetic proxied effects of protein targets, such as PCSK9, on additional endpoints, and disentangle specific genes and proteins perturbed at loci associated with COVID-19 susceptibility. This public-private partnership provides the scientific community with an open-access proteomics resource of considerable breadth and depth to help to elucidate the biological mechanisms underlying proteo-genomic discoveries and accelerate the development of biomarkers, predictive models and therapeutics 1 ., (© 2023. The Author(s).)

Published
2023
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39. Xpert MTB/RIF Ultra on contaminated liquid cultures for tuberculosis and rifampicin-resistance detection: a diagnostic accuracy evaluation.

Author

Ghebrekristos YT, Beylis N, Centner CM, Venter R, Derendinger B, Tshivhula H, Naidoo S, Alberts R, Prins B, Tokota A, Dolby T, Marx F, Omar SV, Warren R, and Theron G

Subjects
United States, Humans, Rifampin pharmacology, Rifampin therapeutic use, Microbial Sensitivity Tests, Drug Resistance, Bacterial genetics, South Africa, Mycobacterium tuberculosis genetics, Antibiotics, Antitubercular pharmacology, Antibiotics, Antitubercular therapeutic use, Tuberculosis diagnosis, Tuberculosis drug therapy
Abstract

Background: Xpert MTB/RIF Ultra (Ultra) is a widely used rapid front-line tuberculosis and rifampicin-susceptibility testing. Mycobacterium Growth Indicator Tube (MGIT) 960 liquid culture is used as an adjunct but is vulnerable to contamination. We aimed to assess whether Ultra can be used on to-be-discarded contaminated cultures., Methods: We stored contaminated MGIT960 tubes (growth-positive, acid-fast bacilli [AFB]-negative) originally inoculated at a high-volume laboratory in Cape Town, South Africa, to diagnose patients with presumptive pulmonary tuberculosis. Patients who had no positive tuberculosis results (smear, Ultra, or culture) at contamination detection and had another, later specimen submitted within 3 months of the contaminated specimen were selected. We evaluated the sensitivity and specificity of Ultra on contaminated growth from the first culture for tuberculosis (next-available non-contaminated culture result reference standard) and rifampicin resistance (vs MTBDRplus on a later isolate). We calculated potential time-to-diagnosis improvements and also evaluated the immunochromatographic MPT64 TBc assay., Findings: Between June 1 and Aug 31, 2019, 36 684 specimens from 26 929 patients were processed for diagnostic culture. 2402 (7%) cultures from 2186 patients were contaminated. 1068 (49%) of 2186 patients had no other specimen submitted. After 319 exclusions, there were 799 people with at least one repeat specimen submitted; of these, we included in our study 246 patients (31%) with a culture-positive repeat specimen and 429 patients (54%) with a culture-negative repeat specimen. 124 patients (16%) with a culture-contaminated repeat specimen were excluded. When Ultra was done on the initial contaminated growth, sensitivity was 89% (95% CI 84-94) for tuberculosis and 95% (75-100) for rifampicin-resistance detection, and specificity was 95% (90-98) for tuberculosis and 98% (93-100) for rifampicin-resistance detection. If our approach were used the day after contamination detection, the time to tuberculosis detection would improve by a median of 23 days (IQR 13-45) and provide a result in many patients who had none. MPT64 TBc had a sensitivity of 5% (95% CI 0-25)., Interpretation: Ultra on AFB-negative growth from contaminated MGIT960 tubes had high sensitivity and specificity, approximating WHO criteria for sputum test target product performance and exceeding drug susceptibility testing. Our approach could mitigate negative effects of culture contamination, especially when repeat specimens are not submitted., Funding: The European & Developing Countries Clinical Trials Partnership, National Institutes of Health., Competing Interests: Declaration of interests GT reports funding from the EDCTP2 programme supported by the EU (RIA2018D-2509, PreFIT; RIA2018D-2493, SeroSelectTB; RIA2020I-3305, CAGE-TB) and the National Institutes of Health (D43TW010350; U01AI152087; U54EB027049; R01AI136894). RW reports funding from the South African Medical Research Council. All other authors report no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Published
2023
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40. Trans-ethnic polygenic risk scores for body mass index: An international hundred K+ cohorts consortium study.

Author

Qu HQ, Connolly JJ, Kraft P, Long J, Pereira A, Flatley C, Turman C, Prins B, Mentch F, Lotufo PA, Magnus P, Stampfer MJ, Tamimi R, Eliassen AH, Zheng W, Knudsen GPS, Helgeland O, Butterworth AS, Hakonarson H, and Sleiman PM

Subjects
Child, Humans, Bayes Theorem, Body Mass Index, Risk Factors, Genome-Wide Association Study, Multifactorial Inheritance genetics
Abstract

Background: While polygenic risk scores hold significant promise in estimating an individual's risk of developing a complex trait such as obesity, their application in the clinic has, to date, been limited by a lack of data from non-European populations. As a collaboration model of the International Hundred K+ Cohorts Consortium (IHCC), we endeavored to develop a globally applicable trans-ethnic PRS for body mass index (BMI) through this relatively new international effort., Methods: The polygenic risk score (PRS) model was developed, trained and tested at the Center for Applied Genomics (CAG) of The Children's Hospital of Philadelphia (CHOP) based on a BMI meta-analysis from the GIANT consortium. The validated PRS models were subsequently disseminated to the participating sites. Scores were generated by each site locally on their cohorts and summary statistics returned to CAG for final analysis., Results: We show that in the absence of a well powered trans-ethnic GWAS from which to derive marker SNPs and effect estimates for PRS, trans-ethnic scores can be generated from European ancestry GWAS using Bayesian approaches such as LDpred, by adjusting the summary statistics using trans-ethnic linkage disequilibrium reference panels. The ported trans-ethnic scores outperform population specific-PRS across all non-European ancestry populations investigated including East Asians and three-way admixed Brazilian cohort., Conclusions: Here we show that for a truly polygenic trait such as BMI adjusting the summary statistics of a well powered European ancestry study using trans-ethnic LD reference results in a score that is predictive across a range of ancestries including East Asians and three-way admixed Brazilians., (© 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.)

Published
2023
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41. An atlas of genetic scores to predict multi-omic traits.

Author

Xu Y, Ritchie SC, Liang Y, Timmers PRHJ, Pietzner M, Lannelongue L, Lambert SA, Tahir UA, May-Wilson S, Foguet C, Johansson Å, Surendran P, Nath AP, Persyn E, Peters JE, Oliver-Williams C, Deng S, Prins B, Luan J, Bomba L, Soranzo N, Di Angelantonio E, Pirastu N, Tai ES, van Dam RM, Parkinson H, Davenport EE, Paul DS, Yau C, Gerszten RE, Mälarstig A, Danesh J, Sim X, Langenberg C, Wilson JF, Butterworth AS, and Inouye M

Subjects
Humans, Metabolomics methods, Phenotype, Proteomics methods, Machine Learning, Black or African American genetics, Asian genetics, European People genetics, United Kingdom, Datasets as Topic, Internet, Reproducibility of Results, Cohort Studies, Proteome analysis, Proteome metabolism, Metabolome, Plasma metabolism, Databases, Factual, Coronary Artery Disease genetics, Coronary Artery Disease metabolism, Multiomics
Abstract

The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies that do not have multi-omics 1 . Here we examine a large cohort (the INTERVAL study 2 ; n = 50,000 participants) with extensive multi-omic data for plasma proteomics (SomaScan, n = 3,175; Olink, n = 4,822), plasma metabolomics (Metabolon HD4, n = 8,153), serum metabolomics (Nightingale, n = 37,359) and whole-blood Illumina RNA sequencing (n = 4,136), and use machine learning to train genetic scores for 17,227 molecular traits, including 10,521 that reach Bonferroni-adjusted significance. We evaluate the performance of genetic scores through external validation across cohorts of individuals of European, Asian and African American ancestries. In addition, we show the utility of these multi-omic genetic scores by quantifying the genetic control of biological pathways and by generating a synthetic multi-omic dataset of the UK Biobank 3 to identify disease associations using a phenome-wide scan. We highlight a series of biological insights with regard to genetic mechanisms in metabolism and canonical pathway associations with disease; for example, JAK-STAT signalling and coronary atherosclerosis. Finally, we develop a portal ( https://www.omicspred.org/ ) to facilitate public access to all genetic scores and validation results, as well as to serve as a platform for future extensions and enhancements of multi-omic genetic scores., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2023
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42. Trans-ethnic Polygenic Risk Scores for Body Mass Index: An International Hundred K+ Cohorts Consortium Study.

Author

Qu H, Connolly JJ, Kraft P, Long J, Pereira A, Flatley C, Turman C, Prins B, Mentch F, Lotufo PA, Magnus P, Stampfer MJ, Tamimi R, Eliassen AH, Zheng W, Knudsen GPS, Helgeland O, Butterworth AS, Hakonarson H, and Sleiman PM

Abstract

Background: While polygenic risk scores hold significant promise in estimating an individual's risk of developing a complex trait such as obesity, their application in the clinic has, to date, been limited by a lack of data from non-European populations. As a collaboration model of the International Hundred K+ Cohorts Consortium (IHCC), we endeavored to develop a globally applicable trans-ethnic PRS for body mass index (BMI) through this relatively new international effort., Methods: The PRS model was developed trained and tested at the Center for Applied Genomics (CAG) of The Children's Hospital of Philadelphia (CHOP) based on a BMI meta-analysis from the GIANT consortium. The validated PRS models were subsequently disseminated to the participating sites. Scores were generated by each site locally on their cohorts and summary statistics returned to CAG for final analysis., Results: We show that in the absence of a well powered trans-ethnic GWAS from which to derive SNPs and effect estimates, trans-ethnic scores can be generated from European ancestry GWAS using Bayesian approaches such as LDpred to adjust the summary statistics using trans-ethnic linkage disequilibrium reference panels. The ported trans-ethnic scores outperform population specific-PRS across all non-European ancestry populations investigated including East Asians and three-way admixed Brazilian cohort., Conclusions: Widespread use of PRS in the clinic is hampered by a lack of genotyping data in individuals of non-European ancestry for the vast majority of traits. Here we show that for a truly polygenic trait such as BMI adjusting the summary statistics of a well powered European ancestry study using trans-ethnic LD reference results in a score that is predictive across a range of ancestries including East Asians and three-way admixed Brazilians.

Published
2023
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43. Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke.

Author

Chen L, Peters JE, Prins B, Persyn E, Traylor M, Surendran P, Karthikeyan S, Yonova-Doing E, Di Angelantonio E, Roberts DJ, Watkins NA, Ouwehand WH, Danesh J, Lewis CM, Bronson PG, Markus HS, Burgess S, Butterworth AS, and Howson JMM

Subjects
Blood Proteins genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Proteome genetics, Risk Factors, Atrial Fibrillation genetics, Diabetes Mellitus, Type 2 genetics, Stroke genetics
Abstract

Stroke is the second leading cause of death with substantial unmet therapeutic needs. To identify potential stroke therapeutic targets, we estimate the causal effects of 308 plasma proteins on stroke outcomes in a two-sample Mendelian randomization framework and assess mediation effects by stroke risk factors. We find associations between genetically predicted plasma levels of six proteins and stroke (P ≤ 1.62 × 10 -4 ). The genetic associations with stroke colocalize (Posterior Probability >0.7) with the genetic associations of four proteins (TFPI, TMPRSS5, CD6, CD40). Mendelian randomization supports atrial fibrillation, body mass index, smoking, blood pressure, white matter hyperintensities and type 2 diabetes as stroke risk factors (P ≤ 0.0071). Body mass index, white matter hyperintensity and atrial fibrillation appear to mediate the TFPI, IL6RA, TMPRSS5 associations with stroke. Furthermore, thirty-six proteins are associated with one or more of these risk factors using Mendelian randomization. Our results highlight causal pathways and potential therapeutic targets for stroke., (© 2022. The Author(s).)

Published
2022
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44. Tannin phenotyping of the Vitaceae reveals a phylogenetic linkage of epigallocatechin in berries and leaves.

Author

Brillouet JM, Romieu C, Bacilieri R, Nick P, Trias-Blasi A, Maul E, Solymosi K, Teszlák P, Jiang JF, Sun L, Ortolani D, Londo JP, Gutierrez B, Prins B, Reynders M, Van Caekenberghe F, Maghradze D, Marchal C, Sultan A, Thomas JF, Scherberich D, Fulcrand H, Roumeas L, Billerach G, Salimov V, Musayev M, Ejaz Ul Islam Dar M, Peltier JB, and Grisoni M

Subjects
Catechin analogs & derivatives, Fruit, Phylogeny, Plant Leaves, Tannins analysis, Proanthocyanidins analysis, Vitaceae, Vitis genetics
Abstract

Background and Aims: Condensed tannins, responsible for berry and wine astringency, may have been selected during grapevine domestication. This work examines the phylogenetic distribution of condensed tannins throughout the Vitaceae phylogenetic tree., Methods: Green berries and mature leaves of representative true-to-type members of the Vitaceae were collected before 'véraison', freeze-dried and pulverized, and condensed tannins were measured following depolymerization by nucleophilic addition of 2-mercaptoethanol to the C4 of the flavan-3-ol units in an organic acidic medium. Reaction products were separated and quantified by ultrahigh pressure liquid chromatography/diode array detection/mass spectrometry., Key Results and Conclusions: The original ability to incorporate epigallocatechin (EGC) into grapevine condensed tannins was lost independently in both the American and Eurasian/Asian branches of the Vitaceae, with exceptional cases of reversion to the ancestral EGC phenotype. This is particularly true in the genus Vitis, where we now find two radically distinct groups differing with respect to EGC content. While Vitis species from Asia are void of EGC, 50 % of the New World Vitis harbour EGC. Interestingly, the presence of EGC is tightly coupled with the degree of leaf margin serration. Noticeably, the rare Asian EGC-forming species are phylogenetically close to Vitis vinifera, the only remnant representative of Vitis in Eurasia. Both the wild ancestral V. vinifera subsp. sylvestris as well as the domesticated V. vinifera subsp. sativa can accumulate EGC and activate galloylation biosynthesis that compete for photoassimilates and reductive power., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Annals of Botany Company. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2022
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45. Feasibility of a new multifactorial fall prevention assessment and personalized intervention among older people recently discharged from the emergency department.

Author

Hepkema BW, Köster L, Geleijn E, VAN DEN Ende E, Tahir L, Osté J, Prins B, VAN DER Velde N, VAN Hout H, and Nanayakkara PWB

Subjects
Aged, Aged, 80 and over, Emergency Service, Hospital, Feasibility Studies, Humans, Risk Assessment methods, Accidental Falls prevention & control, Patient Discharge
Abstract

Background and Importance: Falls among older people occur frequently and are a leading cause of Emergency department (ED) admissions, disability, death and rising health care costs. Multifactorial fall prevention programs that are aimed to target the population at risk have shown to effectively reduce the rate of falling and fall-related injuries in community-dwelling older people. However, the participation of and adherence to these programs in real life situation is generally low., Objective: To test the feasibility of a transitionally organized fall prevention assessment with accompanying personalized intervention initiated at the ED., Design, Settings and Participants: A process evaluation, of a non-randomized controlled pilot trial for implementing a transitionally organized multifactorial fall prevention intervention, was performed using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework to gain insight into the barriers and facilitators of implementation. Older fallers (>70yrs) presenting at the ED were selected based on ZIP-code and after obtaining informed consent, data for the evaluation was collected through questionnaires and interviews. Furthermore, feedback was collected from the healthcare providers., Main Results: The consent was obtained by 24 (70%) of the patients approached directly at the ED and 17 (26%) of the patients approached later by phone. Adherence to the protocol by the participants, clinical assessors and family practice were all more than 90%. After three months, nine (26%) of the participants had at least one recurrent fall: three (20%) patients in the intervention group and six (32%) in the control group., Conclusion: ED presentation due to a fall in older persons provides a window of opportunity for optimizing adherence to a multifactorial fall prevention program as willingness to participate was higher when the patients were approached at the ED during their stay. Implementing a transitionally organized multidisciplinary fall prevention program was successful with a high protocol adherence., The Netherlands Trial Register: NTR NL8142, November 8, 2019., Competing Interests: The authors declare that they have no competing interests.

Published
2022
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46. Mendelian randomisation identifies alternative splicing of the FAS death receptor as a mediator of severe COVID-19.

Author

Klaric L, Gisby JS, Papadaki A, Muckian MD, Macdonald-Dunlop E, Zhao JH, Tokolyi A, Persyn E, Pairo-Castineira E, Morris AP, Kalnapenkis A, Richmond A, Landini A, Hedman ÅK, Prins B, Zanetti D, Wheeler E, Kooperberg C, Yao C, Petrie JR, Fu J, Folkersen L, Walker M, Magnusson M, Eriksson N, Mattsson-Carlgren N, Timmers PRHJ, Hwang SJ, Enroth S, Gustafsson S, Vosa U, Chen Y, Siegbahn A, Reiner A, Johansson Å, Thorand B, Gigante B, Hayward C, Herder C, Gieger C, Langenberg C, Levy D, Zhernakova DV, Smith JG, Campbell H, Sundstrom J, Danesh J, Michaëlsson K, Suhre K, Lind L, Wallentin L, Padyukov L, Landén M, Wareham NJ, Göteson A, Hansson O, Eriksson P, Strawbridge RJ, Assimes TL, Esko T, Gyllensten U, Baillie JK, Paul DS, Joshi PK, Butterworth AS, Mälarstig A, Pirastu N, Wilson JF, and Peters JE

Abstract

Severe COVID-19 is characterised by immunopathology and epithelial injury. Proteomic studies have identified circulating proteins that are biomarkers of severe COVID-19, but cannot distinguish correlation from causation. To address this, we performed Mendelian randomisation (MR) to identify proteins that mediate severe COVID-19. Using protein quantitative trait loci (pQTL) data from the SCALLOP consortium, involving meta-analysis of up to 26,494 individuals, and COVID-19 genome-wide association data from the Host Genetics Initiative, we performed MR for 157 COVID-19 severity protein biomarkers. We identified significant MR results for five proteins: FAS, TNFRSF10A, CCL2, EPHB4 and LGALS9. Further evaluation of these candidates using sensitivity analyses and colocalization testing provided strong evidence to implicate the apoptosis-associated cytokine receptor FAS as a causal mediator of severe COVID-19. This effect was specific to severe disease. Using RNA-seq data from 4,778 individuals, we demonstrate that the pQTL at the FAS locus results from genetically influenced alternate splicing causing skipping of exon 6. We show that the risk allele for very severe COVID-19 increases the proportion of transcripts lacking exon 6, and thereby increases soluble FAS. Soluble FAS acts as a decoy receptor for FAS-ligand, inhibiting apoptosis induced through membrane-bound FAS. In summary, we demonstrate a novel genetic mechanism that contributes to risk of severe of COVID-19, highlighting a pathway that may be a promising therapeutic target.

Published
2021
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47. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals.

Author

Folkersen L, Gustafsson S, Wang Q, Hansen DH, Hedman ÅK, Schork A, Page K, Zhernakova DV, Wu Y, Peters J, Eriksson N, Bergen SE, Boutin TS, Bretherick AD, Enroth S, Kalnapenkis A, Gådin JR, Suur BE, Chen Y, Matic L, Gale JD, Lee J, Zhang W, Quazi A, Ala-Korpela M, Choi SH, Claringbould A, Danesh J, Davey Smith G, de Masi F, Elmståhl S, Engström G, Fauman E, Fernandez C, Franke L, Franks PW, Giedraitis V, Haley C, Hamsten A, Ingason A, Johansson Å, Joshi PK, Lind L, Lindgren CM, Lubitz S, Palmer T, Macdonald-Dunlop E, Magnusson M, Melander O, Michaelsson K, Morris AP, Mägi R, Nagle MW, Nilsson PM, Nilsson J, Orho-Melander M, Polasek O, Prins B, Pålsson E, Qi T, Sjögren M, Sundström J, Surendran P, Võsa U, Werge T, Wernersson R, Westra HJ, Yang J, Zhernakova A, Ärnlöv J, Fu J, Smith JG, Esko T, Hayward C, Gyllensten U, Landen M, Siegbahn A, Wilson JF, Wallentin L, Butterworth AS, Holmes MV, Ingelsson E, and Mälarstig A

Subjects
ATP Binding Cassette Transporter 1 genetics, Asthma genetics, Gene Knockdown Techniques, Genome-Wide Association Study, Humans, Inflammatory Bowel Diseases genetics, Interleukin-1 Receptor-Like 1 Protein genetics, Intracellular Signaling Peptides and Proteins genetics, Linkage Disequilibrium, Mendelian Randomization Analysis, Protein Serine-Threonine Kinases antagonists & inhibitors, Protein Serine-Threonine Kinases genetics, Proteome, Quantitative Trait Loci, Receptors, CCR2 genetics, Receptors, CCR5 genetics, Cardiovascular System metabolism, Chromosome Mapping, Drug Delivery Systems, Genomics
Abstract

Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. Here, we map and replicate protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, resulting in 451 pQTLs for 85 proteins. For each protein, we further perform pathway mapping to obtain trans-pQTL gene and regulatory designations. We substantiate these regulatory findings with orthogonal evidence for trans-pQTLs using mouse knockdown experiments (ABCA1 and TRIB1) and clinical trial results (chemokine receptors CCR2 and CCR5), with consistent regulation. Finally, we evaluate known drug targets, and suggest new target candidates or repositioning opportunities using Mendelian randomization. This identifies 11 proteins with causal evidence of involvement in human disease that have not previously been targeted, including EGF, IL-16, PAPPA, SPON1, F3, ADM, CASP-8, CHI3L1, CXCL16, GDF15 and MMP-12. Taken together, these findings demonstrate the utility of large-scale mapping of the genetics of the proteome and provide a resource for future precision studies of circulating proteins in human health.

Published
2020
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48. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.

Author

Tin A, Marten J, Halperin Kuhns VL, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, Giri A, Sveinbjornsson G, Li M, Chu AY, Hoppmann A, O'Connor LJ, Prins B, Nutile T, Noce D, Akiyama M, Cocca M, Ghasemi S, van der Most PJ, Horn K, Xu Y, Fuchsberger C, Sedaghat S, Afaq S, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boerwinkle E, Bottinger EP, Boutin TS, Brumat M, Burkhardt R, Campana E, Campbell A, Campbell H, Carroll RJ, Catamo E, Chambers JC, Ciullo M, Concas MP, Coresh J, Corre T, Cusi D, Felicita SC, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Delgado G, Demirkan A, Devuyst O, Dittrich K, Eckardt KU, Ehret G, Endlich K, Evans MK, Gansevoort RT, Gasparini P, Giedraitis V, Gieger C, Girotto G, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hayward C, Hicks AA, Hofer E, Holm H, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Lewis RM, Ingelsson E, Jakobsdottir J, Jonsdottir I, Jonsson H, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kanai M, Kerr SM, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Krämer BK, Kronenberg F, Kubo M, Kühnel B, La Bianca M, Lange LA, Lehne B, Lehtimäki T, Liu J, Loeffler M, Loos RJF, Lyytikäinen LP, Magi R, Mahajan A, Martin NG, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Metspalu A, Milaneschi Y, O'Donnell CJ, Wilson OD, Gaziano JM, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Müller-Nurasyid M, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell JR, Olafsson I, Padmanabhan S, Penninx BWJH, Perls T, Peters A, Pirastu M, Pirastu N, Pistis G, Polasek O, Ponte B, Porteous DJ, Poulain T, Preuss MH, Rabelink TJ, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rizzi F, Robino A, Rudan I, Krajcoviechova A, Cifkova R, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Salvi E, Schmidt H, Schmidt R, Shaffer CM, Smith AV, Smith BH, Spracklen CN, Strauch K, Stumvoll M, Sulem P, Tajuddin SM, Teren A, Thiery J, Thio CHL, Thorsteinsdottir U, Toniolo D, Tönjes A, Tremblay J, Uitterlinden AG, Vaccargiu S, van der Harst P, van Duijn CM, Verweij N, Völker U, Vollenweider P, Waeber G, Waldenberger M, Whitfield JB, Wild SH, Wilson JF, Yang Q, Zhang W, Zonderman AB, Bochud M, Wilson JG, Pendergrass SA, Ho K, Parsa A, Pramstaller PP, Psaty BM, Böger CA, Snieder H, Butterworth AS, Okada Y, Edwards TL, Stefansson K, Susztak K, Scholz M, Heid IM, Hung AM, Teumer A, Pattaro C, Woodward OM, Vitart V, and Köttgen A

Subjects
ATP Binding Cassette Transporter, Subfamily G, Member 2 genetics, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cohort Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Gout epidemiology, Gout genetics, Hepatocyte Nuclear Factor 1-alpha genetics, Hepatocyte Nuclear Factor 4 genetics, Humans, Kidney metabolism, Kidney pathology, Liver metabolism, Liver pathology, Metabolic Diseases epidemiology, Metabolic Diseases genetics, Neoplasm Proteins genetics, Organ Specificity, Cardiovascular Diseases blood, Genetic Markers, Gout blood, Metabolic Diseases blood, Polymorphism, Single Nucleotide, Signal Transduction, Uric Acid blood
Abstract

Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

Published
2019
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49. Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia.

Author

Hackinger S, Prins B, Mamakou V, Zengini E, Marouli E, Brčić L, Serafetinidis I, Lamnissou K, Kontaxakis V, Dedoussis G, Gonidakis F, Thanopoulou A, Tentolouris N, Tsezou A, and Zeggini E

Subjects
Cohort Studies, Comorbidity, Databases, Genetic, Diabetes Mellitus, Type 2 epidemiology, Greece epidemiology, Humans, Meta-Analysis as Topic, Multifactorial Inheritance, Risk, Schizophrenia epidemiology, Diabetes Mellitus, Type 2 genetics, Genome-Wide Association Study methods, Genotype, Schizophrenia genetics
Abstract

The epidemiologic link between schizophrenia (SCZ) and type 2 diabetes (T2D) remains poorly understood. Here, we investigate the presence and extent of a shared genetic background between SCZ and T2D using genome-wide approaches. We performed a genome-wide association study (GWAS) and polygenic risk score analysis in a Greek sample collection (GOMAP) comprising three patient groups: SCZ only (n = 924), T2D only (n = 822), comorbid SCZ and T2D (n = 505); samples from two separate Greek cohorts were used as population-based controls (n = 1,125). We used genome-wide summary statistics from two large-scale GWAS of SCZ and T2D from the PGC and DIAGRAM consortia, respectively, to perform genetic overlap analyses, including a regional colocalisation test. We show for the first time that patients with comorbid SCZ and T2D have a higher genetic predisposition to both disorders compared to controls. We identify five genomic regions with evidence of colocalising SCZ and T2D signals, three of which contain known loci for both diseases. We also observe a significant excess of shared association signals between SCZ and T2D at nine out of ten investigated p value thresholds. Finally, we identify 29 genes associated with both T2D and SCZ, several of which have been implicated in biological processes relevant to these disorders. Together our results demonstrate that the observed comorbidity between SCZ and T2D is at least in part due to shared genetic mechanisms.

Published
2018
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50. Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study.

Author

Mamakou V, Hackinger S, Zengini E, Tsompanaki E, Marouli E, Serafetinidis I, Prins B, Karabela A, Glezou E, Southam L, Rayner NW, Kuchenbaecker K, Lamnissou K, Kontaxakis V, Dedoussis G, Gonidakis F, Thanopoulou A, Tentolouris N, and Zeggini E

Subjects
Adult, Aged, Antipsychotic Agents adverse effects, Case-Control Studies, Combined Modality Therapy, Comorbidity, Diabetes Mellitus, Type 2 genetics, Female, Greece epidemiology, Hospitalization trends, Humans, Male, Middle Aged, Psychotropic Drugs administration & dosage, Psychotropic Drugs adverse effects, Risk Factors, Schizophrenia genetics, Antipsychotic Agents administration & dosage, Body Mass Index, Diabetes Mellitus, Type 2 chemically induced, Diabetes Mellitus, Type 2 epidemiology, Schizophrenia drug therapy, Schizophrenia epidemiology
Abstract

Background: Schizophrenia (SCZ) is associated with increased risk of type 2 diabetes (T2D). The potential diabetogenic effect of concomitant application of psychotropic treatment classes in patients with SCZ has not yet been evaluated. The overarching goal of the Genetic Overlap between Metabolic and Psychiatric disease (GOMAP) study is to assess the effect of pharmacological, anthropometric, lifestyle and clinical measurements, helping elucidate the mechanisms underlying the aetiology of T2D., Methods: The GOMAP case-control study (Genetic Overlap between Metabolic and Psychiatric disease) includes hospitalized patients with SCZ, some of whom have T2D. We enrolled 1653 patients with SCZ; 611 with T2D and 1042 patients without T2D. This is the first study of SCZ and T2D comorbidity at this scale in the Greek population. We retrieved detailed information on first- and second-generation antipsychotics (FGA, SGA), antidepressants and mood stabilizers, applied as monotherapy, 2-drug combination, or as 3- or more drug combination. We assessed the effects of psychotropic medication, body mass index, duration of schizophrenia, number of hospitalizations and physical activity on risk of T2D. Using logistic regression, we calculated crude and adjusted odds ratios (OR) to identify associations between demographic factors and the psychiatric medications., Results: Patients with SCZ on a combination of at least three different classes of psychiatric drugs had a higher risk of T2D [OR 1.81 (95% CI 1.22-2.69); p = 0.003] compared to FGA alone therapy, after adjustment for age, BMI, sex, duration of SCZ and number of hospitalizations. We did not find evidence for an association of SGA use or the combination of drugs belonging to two different classes of psychiatric medications with increased risk of T2D [1.27 (0.84-1.93), p = 0.259 and 0.98 (0.71-1.35), p = 0.885, respectively] compared to FGA use., Conclusions: We find an increased risk of T2D in patients with SCZ who take a combination of at least three different psychotropic medication classes compared to patients whose medication consists only of one or two classes of drugs.

Published
2018
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