Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials

Autor: 't Hart, L.M., Abdalla, M., Adam, J., Adamski, J., Adragni, K., Allin, K.H., Arumugam, M., Atabaki Pasdar, N., Baltauss, T., Banasik, K.B., Baum, P., Bell, J.D., Bergstrom, M., Beulens, J.W., Bianzano, S., Bizzotto, R., Bonneford, A., Brorsson, C.A.B., Brown, A.A., Brunak, S.B., Cabrelli, L., Caiazzo, R., Canouil, M., Dale, M., Davtian, D., Dawed, A.Y., De Masi, F.M., de Preville, N., Dekkers, K.F., Dermitzakis, E.T., Deshmukh, H.A., Dings, C., Donnelly, L., Dutta, A., Ehrhardt, B., Elders, P.J.M., Engel Thomas, C.E.T., Engelbrechtsen, L., Eriksen, R.G., Eriksen, R.E., Fan, Y., Fernandez, J., Ferrer, J., Fitipaldi, H., Forgie, I.M., Forman, A., Franks, P.W., Frau, F., Fritsche, A., Froguel, P., Frost, G., Gassenhuber, J., Giordano, G.N., Giorgino, T., Gough, S., Graefe-Mody, U., Grallert, H., Grempler, R., Groeneveld, L., Groop, L., Gudmundsdóttir, V.G., Gupta, R.G., Haid, M., Hansen, T., Hansen, T.H., Hattersley, A.T., Haussler, R.S., Heggie, A.J., Hennige, A.M., Hill, A.V., Holl, R.W., Hong, M.-G., Hudson, M., Jablonka, B., Jennison, C., Jiao, J., Johansen, J.J., Jones, A.G., Jonsson, A., Karaderi, T.K., Kaye, J., Klintenberg, M., Koivula, R.W., Kokkola, T., Koopman, A.D.M., Kurbasic, A, Kuulasmaa, T., Laakso, M., Lehr, T., Loftus, H., Lundbye Allesøe, R.L.A, Mahajan, A., Mari, A., Mazzoni, G.M., McCarthy, M.I., McDonald, T.J., McEvoy, D., McRobert, N., McVittie, I., Mourby, M., Musholt, P., Mutie, P, Nice, R., Nicolay, C., Nielsen, A.M.N., Nilsson, B.N., Palmer, C.N., Pattou, F., Pavo, I., Pearson, E.R., Pedersen, O., Pedersen, H.K.P., Perry, M.H., Pomares-Millan, H., Ramisch, A., Rasmussen, S.R., Raverdi, V., Ridderstrale, M., Robertson, N., Roderick, R.C., Rodriquez, M., Ruetten, H., Rutters, F., Sackett, W., Scherer, N., Schwenk, J.M., Shah, N., Sharma, S., Sihinevich, I., Sondertoft, N.B., Staerfeldt, H., Steckel-Hamann, B., Teare, H., Thomas, M.K., Thomas, E.L., Thomsen, H.S., Thorand, B., Thorne, C.E., Tillner, J., Troen Lundgaard, A.T.L., Troll, M., Tsirigos, K.D.T., Tura, A., Uhlen, M., van Leeuwen, N., van Oort, S., Verkindt, H., Vestergaard, H., Viñuela, A., Vogt, J.K, Wad Sackett, P.W.S, Wake, D., Walker, M., Wesolowska-Andersen, A., Whitcher, B., White, M.W., Wu, H., Dawed, Adem Y ^*, Mari, Andrea, Brown, Andrew, McDonald, Timothy J, Li, Lin, Wang, Shuaicheng, Hong, Mun-Gwan, Sharma, Sapna, Robertson, Neil R, Mahajan, Anubha, Wang, Xuan, Walker, Mark, Gough, Stephen, Hart, Leen M ‘t, Zhou, Kaixin, Forgie, Ian, Ruetten, Hartmut, Pavo, Imre, Bhatnagar, Pallav, Jones, Angus G, Pearson, Ewan R ^*

Publikováno v: In The Lancet Diabetes & Endocrinology January 2023 11(1):33-41

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Autor: Atabaki-Pasdar, N, Ohlsson, M, Vinuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, AG, Thomas, EL, Koivula, RW, Kurbasic, A, Mutie, PM, Fitipaldi, H, Fernandez, J, Dawed, AY, Giordano, GN, Forgie, IM, McDonald, TJ, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, Masi, FD, Thomas, CE, Allin, KH, Hansen, TH, Heggie, A, Hong, M-G, Elders, PJM, Kennedy, G, Kokkola, T, Pedersen, HK, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Haussler, RS, Sharma, S, Thomsen, HS, Vangipurapu, J, Vestergaard, H, 't Hart, LM, Adamski, J, Musholt, PB, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstrale, M, Ruetten, H, Hattersley, AT, Walker, M, Beulens, JWJ, Mari, A, Schwenk, JM, Gupta, R, McCarthy, MI, Pearson, ER, Bell, JD, Pavo, I, Franks, PW

Publikováno v: PLoS Medicine, 17(6):e1003149. Public Library of Science
PLoS Medicine
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Louise Thomas, E, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, de Masi, F, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, T Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, e1003149 . https://doi.org/10.1371/journal.pmed.1003149
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Thomas, E L, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, Masi, F D, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, 't Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, pp. e1003149 . https://doi.org/10.1371/journal.pmed.1003149
PLoS Medicine, Vol 17, Iss 6, p e1003149 (2020)
PLoS Medicine, 17(6). PUBLIC LIBRARY SCIENCE

Background Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::c1bc926a99b5302cc30d7245d0440117
https://research.vumc.nl/en/publications/f7988584-4096-47b4-b939-809f82641881

Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

Autor: Wilman, HR, Parisinos, CA, Atabaki-Pasdar, N, Kelly, M, Thomas, EL, Neubauer, S, IMI DIRECT Consortium, Mahajan, A, Hingorani, AD, Patel, RS, Hemingway, H, Franks, PW, Bell, JD, Banerjee, R, Yaghootkar, H

BACKGROUND & AIMS: Excess liver iron content is common and is linked to the risk of hepatic and extrahepatic diseases. We aimed to identify genetic variants influencing liver iron content and use genetics to understand its link to other traits and di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::d3dfca343546357344c4e49db766f2b3
http://hdl.handle.net/10044/1/71798