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Treatable traits in the European U-BIOPRED adult asthma cohorts

Autor: Simpson, Andrew J., Hekking, Pieter-Paul, Shaw, Dominick E., Fleming, L. J., Roberts, Graham, Riley, John H., Bates, Stewart, Sousa, A. R., Bansal, A. T., Pandis, Ioannis, Sun, K., Bakke, Per S., Caruso, Massimo, Dahlen, Barbro, Dahlen, Sven-Erik, Horvath, Ildiko, Krug, Norbert, Montuschi, Paolo, Sandstrom, Thomas, Singer, Florian, Adcock, I. M., Wagers, Scott S., Djukanovic, R., Chung, Kian Fan, Sterk, P. J., Fowler, S. J., Ahmed, H., Auffray, C., Bakke, P., Baribaud, F., Bates, S., Bel, E. H., Bigler, J., Bisgaard, H., Boedigheimer, M. J., Bonnelykke, K., Brandsma, J., Brinkman, P., Bucchioni, E., Burg, D., Bush, A., Caruso, M., Chaiboonchoe, A., Chanez, P., Chung, F. K., Compton, C. H., Corfield, J., D'Amico, A., Dahlen, B., Dahlen, S. E., De Meulder, B., Erpenbeck, V. J., Erzen, D., Fichtner, K., Fitch, N., Formaggio, E., Frey, U., Gahlemann, M., Geiser, T., Goss, V., Guo, Y., Hashimoto, S., Haughney, J., Hedlin, G., Hekking, P. W., Higenbottam, T., Hohlfeld, J. M., Holweg, C., Horvath, I., Howarth, P., James, A. J., Knowles, R., Knox, A. J., Krug, N., Lefaudeux, D., Loza, M. J., Lutter, R., Manta, A., Masefield, S., Matthews, J. G., Mazein, A., Meiser, A., Middelveld, R. J. M., Miralpeix, M., Montuschi, P., Mores, N., Murray, C. S., Musial, J., Myles, D., Pahus, L., Pandis, I., Pavlidis, S., Postle, A., Powel, P., Pratico, G., Puig Valls, M., Rao, N., Riley, J., Roberts, A., Roberts, G., Rowe, A., Sandstrom, T., Schofield, J. P. R., Seibold, W., Selby, A., Shaw, D. E., Sigmund, R., Singer, F., Skipp, P. J., van Aalderen, W. M., van Geest, M., Vestbo, J., Vissing, N. H., Wagener, A. H., Wagers, S. S., Weiszhart, Z., Wheelock, C. E., Wilson, S. J.

mprovements in asthma outcomes have stalled over the past decade, which may be attributed to treating patients on the basis of a generic diagnostic label. The taxonomy “Treatable Traits” was proposed by Agusti et al (2016) as a precision medicine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______348::17a6d5f56a2debf544b4566c8105ff0f
https://eprints.soton.ac.uk/428087/

A computational framework for complex disease stratification from multiple large-scale datasets

Autor: De Meulder, B., Lefaudeux, D., Bansal, A. T., Mazein, A., Chaiboonchoe, A., Ahmed, H., Balaur, I., Saqi, M., Pellet, J., Ballereau, S., Lemonnier, N., Sun, K., Pandis, I., Yang, X., Batuwitage, M., Kretsos, K., van Eyll, J., Bedding, A., Davison, T., Dodson, P., Larminie, C., Postle, A., Corfield, J., Djukanovic, R., Chung, K. F., Adcock, I. M., Guo, Y. -K., Sterk, P. J., Manta, A., Rowe, A., Baribaud, F., Auffray, C., Gibeon, D., Hoda, U., Kuo, S., Meah, S., Meiser, A., Fleming, L. J., Hu, S., Pavlidis, S., Rossios, C., Russel, K., Wiegman, C., Nezhad, A. T., Oehmichen, A., O'Malley, D., Guitton, F., Emam, I., Agapow, P., Rice, P., Miles, S., Elyasigomari, V., Bel, E., Brinkman, P., Dekker, T., Dijkhuis, A., Hashimoto, S., Hekking, P. -P., Lone-Latif, S., Lutter, R., Ravanetti, L., Smids, B., van Aalderen, W., van de Pol, M., van Drunen, K., van Drunen, M., Wagener, A., Zwinderman, K., Adriaens, N., Carusi, A. M., Richard, F., Nogueira, M. M., Taibi, N., Brasier, O., Aliprantis, A., Alving, K., Faulenbach, C., Braun, A., Hohlfeld, J., Krug, N., Badorrek, P., Bakke, P., Berglind, A., Chaleckis, R., Dahlen, B., Delin, I., Gallart, H., Gomez, C., Hedlin, G., Henriksson, E., James, A. J., Kolmert, J., Konradsen, J., Kupczyk, M., Lantz, A. -S., Lazarinis, L., Mathon, C., Middelveld, R., Naz, S., Nordlund, B., Petren, A., Reinke, S., Sjodin, M., Soderman, P., Strandberg, K., Wheelock, C. E., Zetterquist, W., Balgoma, D., Brandsma, J., Burg, D., Dennison, P., Nicholas, B., Schofield, J. P. R., Skipp, P. J., Staykova, D., Tariq, K., Ward, J., Wilson, S. J., Barber, C., Loza, M. J., Bautmans, A., Sandstrom, T., Behndig, A. F., De Alba, J., Beleta, J., Berton, A., de Verdier, M. G., Nihlen, U., Ostling, J., Dalentoft, T., Lindgren, E., Boedigheimer, M. J., Hu, R., Hu, X., Yu, W., Bigler, J., Bonnelykke, K., Thorsen, J., Vising, N., Bisgaard, H., Bochenek, G., Caruso, M., Emma, R., Campagna, D., Thornton, B., Carayannopoulos, L., Gent, J., Manzies-Gow, A., Sogbesan, A., da Purificacao Rocha, P. C., Pedro, J., Chanez, P., Edwards, J., Flood, B., Hudson, V., Kennington, E. J., Metcalf, L., Rahman-Amin, M., Reynolds, L., Roberts, A., Smith, J., Supple, D., Versnel, J., Walker, S., Coleman, C., Hasan, S., Compton, C., Myles, D., Riley, J., Sousa, A. R., Yeyasingham, E., Pennazza, G., Santoninco, M., D'Amico, A., Dahlen, S. -E., de Boer, P., Robberechts, M., De Lepeleire, I., Fitch, N., Garret, T., Wagers, S., Draper, A., Thorngren, J. -O., Ericsson, M., Erpenbeck, V., Kluglich, M., Nething, K., Riemann, K., Schoelch, C., Seibold, W., Sigmund, R., Wald, F., Wetzel, K., Fichtner, K., Erzen, D., Galffy, G., Horvath, I., Szentkereszty, M., Tamasi, L., Fowler, S. J., Krueger, L., Singer, F., Frey, U., Gahlemann, M., Geiser, T., Hewitt, L., Howarth, P., Marouzet, L., Martin, J., Pink, S., Ray, E., Roberts, G., Smith, C., Gove, K., Gozzard, N., Williams, S., Haughney, J., Higgenbottam, T., Matthews, J. G., Holweg, C., Rutgers, M., Kamphuis, J., Kerry, D., Vink, A., Knobel, H., Knowles, R., Shaw, D. E., Smith, K. M., Know, A., Kots, M., Lambrecht, B., Masefield, S., Nilsson, P., Mikus, M., Miralpeix, M., Monk, P., Mores, N., Valente, S., Montuschi, P., Murray, C. S., Musial, J., Pacino, A., Pahus, L., Palkonen, S., Powel, P., Rao, N., Santini, G., Vestbo, J., von Garnier, C., Weiszhart, Z., Woodcock, A., Biryukov, M., Schneider, R., Herzinger, S., Satagopam, V., Gu, W., da Silva, A. B., Tielmann, A., Bergeron, J., Gaudette, A., Silberberg, A., Henderson, D., Hayat, S., Elefsinioti, A., Moltzen, E. K., Harbo, I. S., Birgitte, J., Bratfalean, D., Houston, P., Kisler, B., Capdevila, F. B., Verbeeck, D., Marchetti, G., Rahal, G., Schuermann, H. D., Mazuranok, L., Hendlich, M., Painell'S, L., Marren, D., Martasek, J., Rimell, J., Romacker, M., Braxenthaler, M., Sansone, S. -A., Rocca-Serra, P.

Publikováno v: BMC Systems Biology, Vol 12, Iss 1, Pp 1-23 (2018)
BMC systems biology, 12(1):60. BioMed Central
U-BIOPRED Study Group, eTRIKS Consortium, Fowler, S J, Murray, C S, Vestbo, J & Woodcock, A 2018, ' A computational framework for complex disease stratification from multiple large-scale datasets ', BMC Systems Biology, vol. 12, no. 1, 60 . https://doi.org/10.1186/s12918-018-0556-z
BMC Systems Biology

Background Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-‘omics datasets on complex diseases are becoming more readily available and there is a need to set standards and good practices

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f49c9633bc4b438a415eff77152a36a
http://hdl.handle.net/10044/1/60119