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Your search keyword '"Hansen, Torben [0000-0001-8748-3831]"' showing total 7 results
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7 results on '"Hansen, Torben [0000-0001-8748-3831]"'

1. Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

Author

Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Leal Rodríguez, Cristina, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B, De Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T, 't Hart, Leen M, Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N, Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W, Schwenk, Jochen M, Adamski, Jerzy, McCarthy, Mark I, Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, Søren, IMI DIRECT Consortium, Lundgaard, Agnete Troen [0000-0001-7447-6560], Hernández Medina, Ricardo [0000-0001-6373-2362], Johansen, Joachim [0000-0001-7052-1870], Niu, Lili [0000-0003-4571-4368], Biel, Jorge Hernansanz [0000-0002-3125-2951], Leal Rodríguez, Cristina [0000-0002-3133-0630], Benros, Michael Eriksen [0000-0003-4939-9465], Pedersen, Anders Gorm [0000-0001-9650-8965], Jacobsen, Ulrik Plesner [0000-0001-9181-6854], Koivula, Robert [0000-0002-1646-4163], Vinuela, Ana [0000-0003-3771-8537], Haid, Mark [0000-0001-6118-1333], Hong, Mun-Gwan [0000-0001-8603-8293], Kennedy, Gwen [0000-0002-9856-3236], Thomas, E Louise [0000-0003-4235-4694], Frost, Gary [0000-0003-0529-6325], Hansen, Tue Haldor [0000-0001-5948-8993], Kaye, Jane [0000-0002-7311-4725], Hattersley, Andrew [0000-0001-5620-473X], Ridderstråle, Martin [0000-0002-3270-9167], Pedersen, Oluf [0000-0002-3321-3972], Hansen, Torben [0000-0001-8748-3831], Schwenk, Jochen M [0000-0001-8141-8449], Rasmussen, Simon [0000-0001-6323-9041], Brunak, Søren [0000-0003-0316-5866], and Apollo - University of Cambridge Repository

Subjects
Deep Learning, Diabetes Mellitus, Type 2, Humans, Algorithms
Abstract

The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug-omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug-drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities.

Published
2023

2. Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

Author

Allesøe, Rosa Lundbye, Lundgaard, Agnete Troen, Hernández Medina, Ricardo, Aguayo-Orozco, Alejandro, Johansen, Joachim, Nissen, Jakob Nybo, Brorsson, Caroline, Mazzoni, Gianluca, Niu, Lili, Biel, Jorge Hernansanz, Brasas, Valentas, Webel, Henry, Benros, Michael Eriksen, Pedersen, Anders Gorm, Chmura, Piotr Jaroslaw, Jacobsen, Ulrik Plesner, Mari, Andrea, Koivula, Robert, Mahajan, Anubha, Vinuela, Ana, Tajes, Juan Fernandez, Sharma, Sapna, Haid, Mark, Hong, Mun-Gwan, Musholt, Petra B., de Masi, Federico, Vogt, Josef, Pedersen, Helle Krogh, Gudmundsdottir, Valborg, Jones, Angus, Kennedy, Gwen, Bell, Jimmy, Thomas, E. Louise, Frost, Gary, Thomsen, Henrik, Hansen, Elizaveta, Hansen, Tue Haldor, Vestergaard, Henrik, Muilwijk, Mirthe, Blom, Marieke T., ‘t Hart, Leen M., Pattou, Francois, Raverdy, Violeta, Brage, Soren, Kokkola, Tarja, Heggie, Alison, McEvoy, Donna, Mourby, Miranda, Kaye, Jane, Hattersley, Andrew, McDonald, Timothy, Ridderstråle, Martin, Walker, Mark, Forgie, Ian, Giordano, Giuseppe N., Pavo, Imre, Ruetten, Hartmut, Pedersen, Oluf, Hansen, Torben, Dermitzakis, Emmanouil, Franks, Paul W., Schwenk, Jochen M., Adamski, Jerzy, McCarthy, Mark I., Pearson, Ewan, Banasik, Karina, Rasmussen, Simon, Brunak, S. ren, Froguel, Philippe, Thomas, Cecilia Engel, Haussler, Ragna, Beulens, Joline, Rutters, Femke, Nijpels, Giel, van Oort, Sabine, Groeneveld, Lenka, Elders, Petra, Giorgino, Toni, Rodriquez, Marianne, Nice, Rachel, Perry, Mandy, Bianzano, Susanna, Graefe-Mody, Ulrike, Hennige, Anita, Grempler, Rolf, Baum, Patrick, Stærfeldt, Hans-Henrik, Shah, Nisha, Teare, Harriet, Ehrhardt, Beate, Tillner, Joachim, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinevich, Iryna, Cabrelli, Louise, Loftus, Heather, Bizzotto, Roberto, Tura, Andrea, Dekkers, Koen, van Leeuwen, Nienke, Groop, Leif, Slieker, Roderick, Ramisch, Anna, Jennison, Christopher, McVittie, Ian, Frau, Francesca, Steckel-Hamann, Birgit, Adragni, Kofi, Thomas, Melissa, Pasdar, Naeimeh Atabaki, Fitipaldi, Hugo, Kurbasic, Azra, Mutie, Pascal, Pomares-Millan, Hugo, Bonnefond, Amelie, Canouil, Mickael, Caiazzo, Robert, Verkindt, Helene, Holl, Reinhard, Kuulasmaa, Teemu, Deshmukh, Harshal, Cederberg, Henna, Laakso, Markku, Vangipurapu, Jagadish, Dale, Matilda, Thorand, Barbara, Nicolay, Claudia, Fritsche, Andreas, Hill, Anita, Hudson, Michelle, Thorne, Claire, Allin, Kristine, Arumugam, Manimozhiyan, Jonsson, Anna, Engelbrechtsen, Line, Forman, Annemette, Dutta, Avirup, Sondertoft, Nadja, Fan, Yong, Gough, Stephen, Robertson, Neil, McRobert, Nicky, Wesolowska-Andersen, Agata, Brown, Andrew, Davtian, David, Dawed, Adem, Donnelly, Louise, Palmer, Colin, White, Margaret, Ferrer, Jorge, Whitcher, Brandon, Artati, Anna, Prehn, Cornelia, Adam, Jonathan, Grallert, Harald, Gupta, Ramneek, Sackett, Peter Wad, Nilsson, Birgitte, Tsirigos, Konstantinos, Eriksen, Rebeca, Jablonka, Bernd, Uhlen, Mathias, Gassenhuber, Johann, Baltauss, Tania, de Preville, Nathalie, Klintenberg, Maria, Abdalla, Moustafa, Lundgaard, Agnete Troen [0000-0001-7447-6560], Hernández Medina, Ricardo [0000-0001-6373-2362], Johansen, Joachim [0000-0001-7052-1870], Niu, Lili [0000-0003-4571-4368], Biel, Jorge Hernansanz [0000-0002-3125-2951], Benros, Michael Eriksen [0000-0003-4939-9465], Pedersen, Anders Gorm [0000-0001-9650-8965], Jacobsen, Ulrik Plesner [0000-0001-9181-6854], Koivula, Robert [0000-0002-1646-4163], Vinuela, Ana [0000-0003-3771-8537], Haid, Mark [0000-0001-6118-1333], Hong, Mun-Gwan [0000-0001-8603-8293], Kennedy, Gwen [0000-0002-9856-3236], Thomas, E Louise [0000-0003-4235-4694], Frost, Gary [0000-0003-0529-6325], Hansen, Tue Haldor [0000-0001-5948-8993], Kaye, Jane [0000-0002-7311-4725], Hattersley, Andrew [0000-0001-5620-473X], Ridderstråle, Martin [0000-0002-3270-9167], Pedersen, Oluf [0000-0002-3321-3972], Hansen, Torben [0000-0001-8748-3831], Schwenk, Jochen M [0000-0001-8141-8449], Rasmussen, Simon [0000-0001-6323-9041], Brunak, Søren [0000-0003-0316-5866], Apollo - University of Cambridge Repository, Epidemiology and Data Science, ACS - Diabetes & metabolism, APH - Health Behaviors & Chronic Diseases, General practice, ACS - Heart failure & arrhythmias, APH - Aging & Later Life, Graduate School, and APH - Methodology

Subjects
Biomedical Engineering, Type 2 diabetes, Bioengineering, Applied Microbiology and Biotechnology, Deep Learning, SDG 3 - Good Health and Well-being, Diabetes Mellitus, Type 2, Machine learning, Molecular Medicine, Humans, Data integration, IMI DIRECT Consortium, Systems biology, Algorithms, Biotechnology
Abstract

The application of multiple omics technologies in biomedical cohorts has the potential to reveal patient-level disease characteristics and individualized response to treatment. However, the scale and heterogeneous nature of multi-modal data makes integration and inference a non-trivial task. We developed a deep-learning-based framework, multi-omics variational autoencoders (MOVE), to integrate such data and applied it to a cohort of 789 people with newly diagnosed type 2 diabetes with deep multi-omics phenotyping from the DIRECT consortium. Using in silico perturbations, we identified drug–omics associations across the multi-modal datasets for the 20 most prevalent drugs given to people with type 2 diabetes with substantially higher sensitivity than univariate statistical tests. From these, we among others, identified novel associations between metformin and the gut microbiota as well as opposite molecular responses for the two statins, simvastatin and atorvastatin. We used the associations to quantify drug–drug similarities, assess the degree of polypharmacy and conclude that drug effects are distributed across the multi-omics modalities.

Published
2023
Full Text
View/download PDF

3. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention

Author

Wang, Zhe, Emmerich, Andrew, Pillon, Nicolas J., Moore, Tim, Hemerich, Daiane, Cornelis, Marilyn C., Mazzaferro, Eugenia, Broos, Siacia, Ahluwalia, Tarunveer S., Bartz, Traci M., Bentley, Amy R., Bielak, Lawrence F., Chong, Mike, Chu, Audrey Y., Berry, Diane, Dorajoo, Rajkumar, Dueker, Nicole D., Kasbohm, Elisa, Feenstra, Bjarke, Feitosa, Mary F., Gieger, Christian, Graff, Mariaelisa, Hall, Leanne M., Haller, Toomas, Hartwig, Fernando P., Hillis, David A., Huikari, Ville, Heard-Costa, Nancy, Holzapfel, Christina, Jackson, Anne U., Johansson, Åsa, Jørgensen, Anja Moltke, Kaakinen, Marika A., Karlsson, Robert, Kerr, Kathleen F., Kim, Boram, Koolhaas, Chantal M., Kutalik, Zoltan, Lagou, Vasiliki, Lind, Penelope A., Lorentzon, Mattias, Lyytikäinen, Leo-Pekka, Mangino, Massimo, Metzendorf, Christoph, Monroe, Kristine R., Pacolet, Alexander, Pérusse, Louis, Pool, Rene, Richmond, Rebecca C., Rivera, Natalia V., Robiou-du-Pont, Sebastien, Schraut, Katharina E., Schulz, Christina-Alexandra, Stringham, Heather M., Tanaka, Toshiko, Teumer, Alexander, Turman, Constance, van der Most, Peter J., Vanmunster, Mathias, van Rooij, Frank J. A., van Vliet-Ostaptchouk, Jana V., Zhang, Xiaoshuai, Zhao, Jing-Hua, Zhao, Wei, Balkhiyarova, Zhanna, Balslev-Harder, Marie N., Baumeister, Sebastian E., Beilby, John, Blangero, John, Boomsma, Dorret I., Brage, Søren Karl, Braund, Peter S., Brody, Jennifer A., Bruinenberg, Marcel, Ekelund, Ulf, Liu, Ching-Ti, Cole, John W., Collins, Francis S., Cupples, L. Adrienne, Esko, Tõnu, Enroth, Stefan, Faul, Jessica D., Fernandez-Rhodes, Lindsay, Fohner, Alison E., Franco, Oscar H., Galesloot, Tessel E., Gordon, Scott D., Grarup, Niels, Hartman, Catharina A., Heiss, Gerardo, Hui, Jennie, Illig, Thomas, Jago, Russell, James, Alan, Joshi, Peter K., Jung, Taeyeong, Kähönen, Mika, Kilpeläinen, Tuomas O., Koh, Woon-Puay, Kolcic, Ivana, Kraft, Peter P., Kuusisto, Johanna, Launer, Lenore J., Li, Aihua, Linneberg, Allan, Luan, Jian’an, Vidal, Pedro Marques, Medland, Sarah E., Milaneschi, Yuri, Moscati, Arden, Musk, Bill, Nelson, Christopher P., Nolte, Ilja M., Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Power, Christine, Raitakari, Olli T., Reedik, Mägi, Reiner, Alex P., Ridker, Paul M., Rudan, Igor, Ryan, Kathy, Sarzynski, Mark A., Scott, Laura J., Scott, Robert A., Sidney, Stephen, Siggeirsdottir, Kristin, Smith, Albert V., Smith, Jennifer A., Sonestedt, Emily, Strøm, Marin, Tai, E. Shyong, Teo, Koon K., Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Uitterlinden, Andre G., Vangipurapu, Jagadish, van Schoor, Natasja, Völker, Uwe, Willemsen, Gonneke, Williams, Kayleen, Wong, Quenna, Xu, Huichun, Young, Kristin L., Yuan, Jian Min, Zillikens, M. Carola, Zonderman, Alan B., Ameur, Adam, Bandinelli, Stefania, Bis, Joshua C., Boehnke, Michael, Bouchard, Claude, Chasman, Daniel I., Smith, George Davey, de Geus, Eco J. C., Deldicque, Louise, Dörr, Marcus, Evans, Michele K., Ferrucci, Luigi, Fornage, Myriam, Fox, Caroline, Garland, Theodore, Gudnason, Vilmundur, Gyllensten, Ulf, Hansen, Torben, Hayward, Caroline, Horta, Bernardo L., Hyppönen, Elina, Jarvelin, Marjo-Riitta, Johnson, W. Craig, Kardia, Sharon L. R., Kiemeney, Lambertus A., Laakso, Markku, Langenberg, Claudia, Lehtimäki, Terho, Marchand, Loic Le, Alizadeh, Behrooz Z., Boezen, H. Marike, Franke, Lude, Swertz, Morris, Wijmenga, Tjitske Nienke, van der Harst, Pim, Navis, Gerjan, Rots, Marianne, Wolffenbuttel, Bruce H. R., Magnusson, Patrik K. E., Martin, Nicholas G., Melbye, Mads, Metspalu, Andres, Meyre, David, North, Kari E., Ohlsson, Claes, Oldehinkel, Albertine J., Orho-Melander, Marju, Pare, Guillaume, Park, Taesung, Pedersen, Oluf, Penninx, Brenda W. J. H., Pers, Tune H., Polasek, Ozren, Prokopenko, Inga, Rotimi, Charles N., Samani, Nilesh J., Sim, Xueling, Snieder, Harold, Sørensen, Thorkild I. A., Spector, Tim D., Timpson, Nicholas J., van Dam, Rob M., van der Velde, Nathalie, van Duijn, Cornelia M., Vollenweider, Peter, Völzke, Henry, Voortman, Trudy, Waeber, Gérard, Wareham, Nicholas J., Weir, David R., Wichmann, Heinz-Erich, Wilson, James F., Hevener, Andrea L., Krook, Anna, Zierath, Juleen R., Thomis, Martine A. I., Loos, Ruth J. F., Hoed, Marcel den, Epidemiology, Internal Medicine, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Department of Clinical Physiology and Nuclear Medicine, Wang, Zhe, Emmerich, Andrew, Pillon, Nicolas J, Moore, Tim, Hyppönen, Elina, den Hoed, Marcel, Lifelines Cohort Study, Alizadeh, B.Z., Boezen, H.M., Franke, L., Swertz, M., Wijmenga, C., van der Harst, P., Navis, G., Rots, M., Wolffenbuttel, BHR, Wang, Zhe [0000-0002-8046-4969], Emmerich, Andrew [0000-0002-0908-9924], Pillon, Nicolas J [0000-0003-1107-9490], Moore, Tim [0000-0003-4250-3370], Ameur, Adam [0000-0001-6085-6749], Bis, Joshua C [0000-0002-3409-1110], Boehnke, Michael [0000-0002-6442-7754], Bouchard, Claude [0000-0002-0048-491X], Chasman, Daniel I [0000-0003-3357-0862], Smith, George Davey [0000-0002-1407-8314], de Geus, Eco JC [0000-0001-6022-2666], Dörr, Marcus [0000-0001-7471-475X], Ferrucci, Luigi [0000-0002-6273-1613], Fornage, Myriam [0000-0003-0677-8158], Garland, Theodore [0000-0002-7916-3552], Gyllensten, Ulf [0000-0002-6316-3355], Hansen, Torben [0000-0001-8748-3831], Horta, Bernardo L [0000-0001-9843-412X], Hyppönen, Elina [0000-0003-3670-9399], Johnson, W Craig [0000-0002-3161-3753], Kiemeney, Lambertus A [0000-0002-2368-1326], Laakso, Markku [0000-0002-3394-7749], Langenberg, Claudia [0000-0002-5017-7344], Lehtimäki, Terho [0000-0002-2555-4427], Magnusson, Patrik KE [0000-0002-7315-7899], Martin, Nicholas G [0000-0003-4069-8020], Melbye, Mads [0000-0001-8264-6785], Metspalu, Andres [0000-0002-3718-796X], Meyre, David [0000-0003-4850-7444], North, Kari E [0000-0002-8903-0366], Ohlsson, Claes [0000-0002-9633-2805], Oldehinkel, Albertine J [0000-0003-3925-3913], Orho-Melander, Marju [0000-0002-3578-2503], Pare, Guillaume [0000-0002-6795-4760], Park, Taesung [0000-0002-8294-590X], Pedersen, Oluf [0000-0002-3321-3972], Pers, Tune H [0000-0003-0207-4831], Polasek, Ozren [0000-0002-5765-1862], Prokopenko, Inga [0000-0003-1624-7457], Rotimi, Charles N [0000-0001-5759-053X], Sim, Xueling [0000-0002-1233-7642], Snieder, Harold [0000-0003-1949-2298], Sørensen, Thorkild IA [0000-0003-4821-430X], Spector, Tim D [0000-0002-9795-0365], Timpson, Nicholas J [0000-0002-7141-9189], Voortman, Trudy [0000-0003-2830-6813], Waeber, Gérard [0000-0003-4193-788X], Wareham, Nicholas J [0000-0003-1422-2993], Weir, David R [0000-0002-1661-2402], Wilson, James F [0000-0001-5751-9178], Krook, Anna [0000-0002-0891-0258], Zierath, Juleen R [0000-0001-6891-7497], Thomis, Martine AI [0000-0001-9093-2191], Loos, Ruth JF [0000-0002-8532-5087], Hoed, Marcel den [0000-0001-8081-428X], Apollo - University of Cambridge Repository, Center for Liver, Digestive and Metabolic Diseases (CLDM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Geriatrics, AMS - Ageing & Vitality, APH - Aging & Later Life, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, and AMS - Sports

Subjects
Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], 631/208/205/2138, 610 Medicine & health, heritability, Actinin/genetics, Cross-Sectional Studies, Exercise/physiology, Genome-Wide Association Study, Humans, Leisure Activities, Sedentary Behavior, apolipoprotein-e genotype, Lifelines Cohort Study, 360 Social problems & social services, 692/308/575, Genetics, Actinin, Exercise, Medicinsk genetik, exercise, APOLIPOPROTEIN-E GENOTYPE, LD SCORE REGRESSION, GENE-EXPRESSION, EXERCISE, COMPLEX, PERFORMANCE, GWAS, HERITABILITY, MORTALITY, FITNESS, 360 Soziale Probleme, Sozialdienste, 692/308/2056, article, gwas, gene-expression, mortality, 3142 Public health care science, environmental and occupational health, fitness, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], LD score regression, 3111 Biomedicine, 610 Medizin und Gesundheit, Medical Genetics, complex, performance
Abstract

Funder: Kjell och Märta Beijers Stiftelse (Kjell and Marta Beijer Foundation); doi: https://doi.org/10.13039/501100006353, Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a multi-ancestry meta-analysis of genome-wide association studies yields 99 loci that associate with self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. A missense variant in ACTN3 makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type IIA muscle fibers, and possibly protection from exercise-induced muscle damage. Finally, Mendelian randomization analyses show that beneficial effects of lower LST and higher MVPA on several risk factors and diseases are mediated or confounded by body mass index (BMI). Our results provide insights into physical activity mechanisms and its role in disease prevention.

Published
2022
Full Text
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4. Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Author

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, Epidemiology and Data Science, General practice, APH - Health Behaviors & Chronic Diseases, Amsterdam Reproduction & Development (AR&D), ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Aging & Later Life, Atabaki-Pasdar, Naeimeh [0000-0001-7229-1888], Ohlsson, Mattias [0000-0003-1145-4297], Viñuela, Ana [0000-0003-3771-8537], Pomares-Millan, Hugo [0000-0001-9245-4576], Haid, Mark [0000-0001-6118-1333], Jones, Angus G. [0000-0002-0883-7599], Thomas, E. Louise [0000-0003-4235-4694], Koivula, Robert W. [0000-0002-1646-4163], Kurbasic, Azra [0000-0002-1910-2619], Fitipaldi, Hugo [0000-0001-5352-2134], Dawed, Adem Y. [0000-0003-0224-2428], Forgie, Ian M. [0000-0002-8800-6145], Cederberg, Henna [0000-0003-2901-9373], Dale, Matilda [0000-0002-5788-7744], Masi, Federico De [0000-0003-4859-4170], Thomas, Cecilia Engel [0000-0001-6201-6380], Allin, Kristine H. [0000-0002-6880-5759], Hansen, Tue H. [0000-0001-5948-8993], Elders, Petra J. M. [0000-0002-5907-7219], Kennedy, Gwen [0000-0002-9856-3236], Kokkola, Tarja [0000-0002-3303-3912], Pedersen, Helle Krogh [0000-0001-9609-7377], Mahajan, Anubha [0000-0001-5585-3420], McEvoy, Donna [0000-0003-1546-5567], Häussler, Ragna S. [0000-0003-1664-8875], Vangipurapu, Jagadish [0000-0001-6657-2659], Vestergaard, Henrik [0000-0003-3090-269X], ‘t Hart, Leen M. [0000-0003-4401-2938], Brage, Soren [0000-0002-1265-7355], Frost, Gary [0000-0003-0529-6325], Hansen, Torben [0000-0001-8748-3831], Hattersley, Andrew T. [0000-0001-5620-473X], Mari, Andrea [0000-0002-1436-5591], Schwenk, Jochen M. [0000-0001-8141-8449], Gupta, Ramneek [0000-0001-6841-6676], McCarthy, Mark I. [0000-0002-4393-0510], Pearson, Ewan R. [0000-0001-9237-8585], Bell, Jimmy D. [0000-0003-3804-1281], Franks, Paul W. [0000-0002-0520-7604], Apollo - University of Cambridge Repository, HUS Abdominal Center, Clinicum, Department of Medicine, Endokrinologian yksikkö, Jones, Angus G [0000-0002-0883-7599], Thomas, E Louise [0000-0003-4235-4694], Koivula, Robert W [0000-0002-1646-4163], Dawed, Adem Y [0000-0003-0224-2428], Forgie, Ian M [0000-0002-8800-6145], Allin, Kristine H [0000-0002-6880-5759], Hansen, Tue H [0000-0001-5948-8993], Elders, Petra JM [0000-0002-5907-7219], Häussler, Ragna S [0000-0003-1664-8875], 't Hart, Leen M [0000-0003-4401-2938], Hattersley, Andrew T [0000-0001-5620-473X], Schwenk, Jochen M [0000-0001-8141-8449], McCarthy, Mark I [0000-0002-4393-0510], Pearson, Ewan R [0000-0001-9237-8585], Bell, Jimmy D [0000-0003-3804-1281], Franks, Paul W [0000-0002-0520-7604], and IMI

Subjects
Male, Proteomics, Oral Glucose Suppression Test, Biochemistry, Machine Learning, Fats, Database and Informatics Methods, Endocrinology, Medicine and Health Sciences, Insulin, Prospective Studies, 11 Medical and Health Sciences, GLOBAL EPIDEMIOLOGY, INSULIN SENSITIVITY, Proteomic Databases, Liver Diseases, Middle Aged, Lipids, Medicine, Female, Life Sciences & Biomedicine, Research Article, Computer and Information Sciences, Endocrine Disorders, BIOMARKERS, Gastroenterology and Hepatology, Research and Analysis Methods, Risk Assessment, Diabetes Complications, Medicine, General & Internal, SDG 3 - Good Health and Well-being, Artificial Intelligence, General & Internal Medicine, NAFLD, Diabetes Mellitus, Humans, Metabolomics, Diabetic Endocrinology, Pharmacology, Science & Technology, Models, Statistical, Reproducibility of Results, Biology and Life Sciences, ALCOHOLIC STEATOHEPATITIS, Hormones, Pharmacologic-Based Diagnostics, Fatty Liver, Metabolism, Biological Databases, 3121 General medicine, internal medicine and other clinical medicine, Metabolic Disorders
Abstract

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 damage to the liver and, ultimately, hepatocellular carcinomas. We sought to expand etiological understanding and develop a diagnostic tool for NAFLD using machine learning. Methods and findings We utilized the baseline data from IMI DIRECT, a multicenter prospective cohort study of 3,029 European-ancestry adults recently diagnosed with T2D (n = 795) or at high risk of developing the disease (n = 2,234). Multi-omics (genetic, transcriptomic, proteomic, and metabolomic) and clinical (liver enzymes and other serological biomarkers, anthropometry, measures of beta-cell function, insulin sensitivity, and lifestyle) data comprised the key input variables. The models were trained on MRI-image-derived liver fat content (, In a modelling study, Naeimeh Atabaki-Pasdar and colleagues apply machine learning techniques to develop models to predict non-alcoholic fatty liver disease diagnosis using multi-omic and clinical data from individuals with and without type 2 diabetes in the IMI DIRECT cohorts., Author summary Why was this study done? Globally, about 1 in 4 adults have non-alcoholic fatty liver disease (NAFLD), which adversely affects energy homeostasis (in particular blood glucose concentrations), blood detoxification, drug metabolism, and food digestion. Although numerous noninvasive tests to detect NAFLD exist, these typically include inaccurate blood-marker tests or expensive imaging methods. The purpose of this work was to develop accurate noninvasive methods to aid in the clinical prediction of NAFLD. What did the researchers do and find? The analyses applied machine learning methods to data from the deep-phenotyped IMI DIRECT cohorts (n = 1,514) to identify sets of highly informative variables for the prediction of NAFLD. The criterion measure was liver fat quantified from MRI. We developed a total of 18 prediction models that ranged from very inexpensive models of modest accuracy to more expensive biochemistry- and/or omics-based models with high accuracy. We found that models using measures commonly collected in either clinical settings or research studies proved adequate for the prediction of NAFLD. The addition of detailed omics data significantly improved the predictive utility of these models. We also found that of all omics markers, proteomic markers yielded the highest predictive accuracy when appropriately combined. What do these findings mean? We envisage that these new approaches to predicting fatty liver may be of clinical value when screening at-risk populations for NAFLD. The identification of specific molecular features that underlie the development of NAFLD provides novel insights into the disease’s etiology, which may lead to the development of new treatments.

Published
2020
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5. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

Author

David Torrents, Thorkild I. A. Sørensen, André G. Uitterlinden, Dorret I. Boomsma, Harry Campbell, Vasiliki Lagou, Joachim Heinrich, Anna Murray, Nicholas J. Timpson, George Dedoussis, Beverley M. Shields, Timo A. Lakka, Lawrence J. Beilin, Carmen J. Marsit, Katharina E. Schraut, Marie Standl, Torben Hansen, James F. Wilson, Jonas Bacelis, Allan Vaag, Louis J. Muglia, Wei Ang, Josep M. Mercader, Ruifang Li-Gao, Ying Wu, Jessica Tyrrell, Pål R. Njølstad, Mohammad Hadi Zafarmand, Marie-France Hivert, Ioanna Ntalla, Debbie A Lawlor, Martina Müller-Nurasyid, Alana Cavadino, Natalia Vilor-Tejedor, Andrew R. Wood, Zoltán Kutalik, Jodie N. Painter, Tanja G. M. Vrijkotte, Kyle J. Gaulton, Xavier Estivill, George Davey Smith, Christine Power, Andrew T. Hattersley, Berthold Hocher, Gibran Hemani, Sheila J. Barton, Aino-Maija Eloranta, Kathryn L. Lunetta, Kim F. Michaelsen, Frank Geller, Bjarke Feenstra, Carol A. Wang, Peter Vollenweider, Wieland Kiess, Anubha Mahajan, Elina Hyppönen, Elisabeth M. van Leeuwen, Felix R. Day, Natalie R. van Zuydam, Leda Chatzi, Bo L. Chawes, Antje Körner, Dennis O. Mook-Kanamori, Ken K. Ong, Joanne M. Murabito, David M. Hougaard, Jian'an Luan, Letizia Marullo, Catharina E. M. van Beijsterveldt, Yik Ying Teo, Andrew P. Morris, Sarah E. Medland, Juan Fernández-Tajes, Jouke-Jan Hottenga, Frits R. Rosendaal, Inga Prokopenko, Katja Pahkala, Struan F.A. Grant, Sylvain Sebert, Judith B. Borja, Camilla Schmidt Morgen, Charlotta Pisinger, Jia Chen, Øyvind Helgeland, Christian Theil Have, Vincent W. V. Jaddoe, Marjolein N. Kooijman, Mika Kähönen, Timothy M. Frayling, Diana L. Cousminer, Bo Jacobsson, Antoine H. C. van Kampen, Eco J. C. de Geus, Manolis Kogevinas, Rico Rueedi, Grant W. Montgomery, Raimo Joro, Craig E. Pennell, Jonathan P. Bradfield, Janine F. Felix, Ge Zhang, Loreto Santa-Marina, Kalliope Panoutsopoulou, John R. B. Perry, Jeff Murray, Albert Hofman, Terho Lehtimäki, John W. Holloway, Barbera D. C. van Schaik, Pedro Marques-Vidal, Ronny Myhre, Haja N. Kadarmideen, Robert A. Scott, Frank D. Mentch, Katherine S. Ruth, Hans Bisgaard, Marjo-Riitta Järvelin, Catherine Allard, Rachel M. Freathy, Julie A. Marsh, Mariona Bustamante, Elisabeth Thiering, Cæcilie Trier, Marcus A. Tuke, William L. Lowe, Elisabeth Widen, Caroline L Relton, Christoph Reichetzeder, Penelope A. Lind, M. Geoffrey Hayes, Charles Laurin, Tarunveer S. Ahluwalia, Meike Bartels, Mads Melbye, Claudia Langenberg, Ke Hao, Shouneng Peng, Nicholas J. Wareham, Susan M. Ring, Hamdi Mbarek, Mario Murcia, Jing Hua Zhao, Michael Nodzenski, Cornelia M. van Duijn, Hakon Hakonarson, Hanieh Yaghootkar, Po-Ru Loh, Linda S. Adair, Sílvia Bonàs-Guarch, Eleftheria Zeggini, Sarah Metrustry, Shikta Das, Gonneke Willemsen, Ana Espinosa, Lavinia Paternoster, Marc Vaudel, Theresia M. Schnurr, Michael Stumvoll, David M. Evans, Bridget A. Knight, Luigi Bouchard, Robin N Beaumont, Mustafa Atalay, Zhen Qiao, Denise M. Scholtens, Klaus Bønnelykke, Samuel E. Jones, Peter K. Joshi, Oluf Pedersen, Jin-Fang Chai, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Rebecca K. Vinding, Hazel Inskip, Sara M. Willems, Cilius Esmann Fonvig, Momoko Horikoshi, Ellen A. Nohr, Jani Heikkinen, Emil V. R. Appel, Niels Grarup, Michael N. Weedon, Rebecca C Richmond, Peter Kovacs, Jorma Viikari, Amanda J. Bennett, Jens-Christian Holm, Carolina Medina-Gomez, Nicole M. Warrington, Anke Tönjes, Jakob Stokholm, Hugoline G. de Haan, Seang-Mei Saw, Ville Huikari, N. William Rayner, Johan G. Eriksson, Niina Pitkänen, Allan Linneberg, Gunn-Helen Moen, Olli T. Raitakari, Martine Vrijheid, Neil Robertson, Stefan Johansson, Tim D. Spector, Friman Sánchez, Mark I. McCarthy, Harri Niinikoski, Karen L. Mohlke, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Warrington, Nicole M, Beaumont, Robin N, Horikoshi, Momoko, Day, Felix R, Hypponen, E, Freathy, RM, EGG consortium, Medical and Clinical Psychology, University of Helsinki, Johan Eriksson / Principal Investigator, University of Helsinki, Institute for Molecular Medicine Finland, Warrington, Nicole M [0000-0003-4195-775X], Beaumont, Robin N [0000-0003-0750-8248], Day, Felix R [0000-0003-3789-7651], Helgeland, Øyvind [0000-0002-5612-2985], Laurin, Charles [0000-0003-2439-9004], Bacelis, Jonas [0000-0002-2450-732X], Feenstra, Bjarke [0000-0003-1478-649X], Mahajan, Anubha [0000-0001-5585-3420], Moen, Gunn-Helen [0000-0002-8768-0904], Schnurr, Theresia M [0000-0002-6573-4959], Grarup, Niels [0000-0001-5526-1070], Paternoster, Lavinia [0000-0003-2514-0889], Rueedi, Rico [0000-0002-6713-2214], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Metrustry, Sarah [0000-0003-2028-7486], Wang, Carol A [0000-0002-4301-3974], Joshi, Peter K [0000-0002-6361-5059], Pitkänen, Niina [0000-0001-7383-4987], Richmond, Rebecca C [0000-0003-0574-5071], Inskip, Hazel M [0000-0001-8897-1749], Holloway, John W [0000-0001-9998-0464], Estivill, Xavier [0000-0002-0723-2256], Hocher, Berthold [0000-0001-8143-0579], Lunetta, Kathryn L [0000-0002-9268-810X], Allard, Catherine [0000-0002-8829-4984], Muglia, Louis J [0000-0002-0301-8770], van Kampen, Antoine HC [0000-0003-1025-7232], van Schaik, Barbera DC [0000-0002-5568-8127], Langenberg, Claudia [0000-0002-5017-7344], Hemani, Gibran [0000-0003-0920-1055], Gaulton, Kyle J [0000-0003-1318-7161], Medina-Gomez, Carolina [0000-0001-7999-5538], Kutalik, Zoltán [0000-0001-8285-7523], Marques-Vidal, Pedro [0000-0002-4548-8500], Mbarek, Hamdi [0000-0002-1108-0371], Müller-Nurasyid, Martina [0000-0003-3793-5910], Appel, Emil VR [0000-0001-7704-6611], Fonvig, Cilius E [0000-0002-5031-0125], Hougaard, David M [0000-0001-5928-3517], Mercader, Josep M [0000-0001-8494-3660], Linneberg, Allan [0000-0002-0994-0184], Lind, Penelope A [0000-0002-3887-2598], Medland, Sarah E [0000-0003-1382-380X], Bartels, Meike [0000-0002-9667-7555], Stokholm, Jakob [0000-0003-4989-9769], Chawes, Bo L [0000-0001-6846-6243], Kovacs, Peter [0000-0002-0290-5423], Prokopenko, Inga [0000-0003-1624-7457], Tuke, Marcus A [0000-0003-0008-9263], Ruth, Katherine S [0000-0003-4966-9170], Jones, Samuel E [0000-0003-0153-922X], Zeggini, Eleftheria [0000-0003-4238-659X], Wilson, James F [0000-0001-5751-9178], Vrijkotte, Tanja GM [0000-0003-3641-4048], de Geus, Eco JCN [0000-0001-6022-2666], Kadarmideen, Haja N [0000-0001-6294-382X], Mohlke, Karen L [0000-0001-6721-153X], Sørensen, Thorkild IA [0000-0003-4821-430X], Bisgaard, Hans [0000-0003-4131-7592], Bønnelykke, Klaus [0000-0003-2003-1018], Melbye, Mads [0000-0001-8264-6785], Rivadeneira, Fernando [0000-0001-9435-9441], Felix, Janine F [0000-0002-9801-5774], Jaddoe, Vincent WV [0000-0003-2939-0041], Hansen, Torben [0000-0001-8748-3831], Hyppönen, Elina [0000-0003-3670-9399], Davey Smith, George [0000-0002-1407-8314], Morris, Andrew P [0000-0002-6805-6014], Hakonarson, Hakon [0000-0003-2814-7461], Grant, Struan FA [0000-0003-2025-5302], Lawlor, Debbie A [0000-0002-6793-2262], Njølstad, Pål R [0000-0003-0304-6728], Ong, Ken K [0000-0003-4689-7530], McCarthy, Mark I [0000-0002-4393-0510], Evans, David M [0000-0003-0663-4621], Freathy, Rachel M [0000-0003-4152-2238], Apollo - University of Cambridge Repository, Department of Medical and Clinical Genetics, Institute for Molecular Medicine Finland, Neuroscience Center, Doctoral Programme Brain & Mind, Ecology and Evolutionary Biology, University of Helsinki, Research Groups, Department of General Practice and Primary Health Care, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Doctoral Programme in Clinical Research, Doctoral Programme in Oral Sciences, Doctoral Programme in Population Health, Centre of Excellence in Complex Disease Genetics, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, University Management, Epidemiology, Erasmus MC other, Internal Medicine, Pediatrics, Epidemiology and Data Science, APH - Global Health, APH - Aging & Later Life, ACS - Atherosclerosis & ischemic syndromes, ARD - Amsterdam Reproduction and Development, Experimental Immunology, Public and occupational health, and AGEM - Amsterdam Gastroenterology Endocrinology Metabolism

Subjects
Male, Netherlands Twin Register (NTR), LD SCORE REGRESSION, Birth Weight/genetics, Physiology, Genome-wide association study, BLOOD-PRESSURE, Blood Pressure, Type 2 diabetes, DISEASE, Fetal Development, 0302 clinical medicine, Models, Pregnancy, Risk Factors, Genotype, Birth Weight, maternal genetic, 030212 general & internal medicine, Maternal-Fetal Exchange, 0303 health sciences, Body Height/genetics, 1184 Genetics, developmental biology, physiology, Heart Diseases/etiology, Single Nucleotide, ASSOCIATION, Metabolic Diseases/etiology, 3. Good health, Type 2/etiology, MENDELIAN RANDOMIZATION, GROWTH, Female, Maternal Inheritance, Maternal Inheritance/genetics, Adult, Blood Pressure/genetics, Heart Diseases, Offspring, Birth weight, cardio-metabolic health outcomes, Biology, Diabetes Mellitus, Type 2/etiology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genetic, Metabolic Diseases, SDG 3 - Good Health and Well-being, Diabetes mellitus, Mendelian randomization, Genetics, medicine, Diabetes Mellitus, Humans, Genetic Predisposition to Disease, Polymorphism, 030304 developmental biology, Glycemic, Fetus, IDENTIFICATION, Models, Genetic, Infant, Newborn, Infant, birth weight, DIABETES-MELLITUS, medicine.disease, Newborn, Fetal Development/genetics, Body Height, Maternal-Fetal Exchange/genetics, LIFE, Blood pressure, Diabetes Mellitus, Type 2, ORIGINS, Institut für Ernährungswissenschaft, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Birth weight (BW) variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. These associations have been proposed to reflect the lifelong consequences of an adverse intrauterine environment. In earlier work, we demonstrated that much of the negative correlation between BW and adult cardio-metabolic traits could instead be attributable to shared genetic effects. However, that work and other previous studies did not systematically distinguish the direct effects of an individual’s own genotype on BW and subsequent disease risk from indirect effects of their mother’s correlated genotype, mediated by the intrauterine environment. Here, we describe expanded genome-wide association analyses of own BW (n=321,223) and offspring BW (n=230,069 mothers), which identified 278 independent association signals influencing BW (214 novel). We used structural equation modelling to decompose the contributions of direct fetal and indirect maternal genetic influences on BW, implicating fetal- and maternal-specific mechanisms. We used Mendelian randomization to explore the causal relationships between factors influencing BW through fetal or maternal routes, for example, glycemic traits and blood pressure. Direct fetal genotype effects dominate the shared genetic contribution to the association between lower BW and higher type 2 diabetes risk, whereas the relationship between lower BW and higher later blood pressure (BP) is driven by a combination of indirect maternal and direct fetal genetic effects: indirect effects of maternal BP-raising genotypes act to reduce offspring BW, but only direct fetal genotype effects (once inherited) increase the offspring’s later BP. Instrumental variable analysis using maternal BW-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring BP. In successfully separating fetal from maternal genetic effects, this work represents an important advance in genetic studies of perinatal outcomes, and shows that the association between lower BW and higher adult BP is attributable to genetic effects, and not to intrauterine programming.

Published
2019
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6. Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes

Author

Claire Morgan, Antonio Zorzano, Jason Flannick, Claudia Langenberg, David Torrents, Torben Hansen, Juan R. González, Tune H. Pers, Jorge Ferrer, Ehm A. Andersson, Jian'an Luan, Jose C. Florez, Ivan Brandslund, Aaron Leong, Marit E. Jørgensen, Ignasi Moran, Pascal Timshel, Robert A. Scott, Cramer Christensen, Emil V. R. Appel, Niels Grarup, Paula Cortes-Sánchez, Jonathan Marti, Varindepal Kaur, Oluf Pedersen, Santi González, Elias Rodriguez-Fos, Nicholas J. Wareham, Miriam S. Udler, Josep M. Mercader, Torben Jørgensen, Montserrat Puiggròs, Sílvia Bonàs-Guarch, Irene Miguel-Escalada, Carlos Díaz, David Sebastián, Rosa M. Badia, Daniel R. Witte, Allan Linneberg, Friman Sánchez, Mercè Planas-Fèlix, Marta Guindo-Martínez, Goutham Atla, Ministerio de Economía y Competitividad (España), European Foundation for the Study of Diabetes, Instituto de Salud Carlos III, Generalitat de Catalunya, Wellcome Trust, European Commission, Fundación 'la Caixa', National Institute for Health Research (UK), Novo Nordisk Foundation, Badia, Rosa M. [0000-0003-2941-5499], Bonàs-Guarch, Sílvia [0000-0002-2085-7488], Guindo-Martínez, Marta [0000-0002-8099-9170], Miguel-Escalada, Irene [0000-0003-3461-6404], Grarup, Niels [0000-0001-5526-1070], Rodriguez-Fos, Elias [0000-0002-2555-0178], Planas-Fèlix, Mercè [0000-0002-8267-576X], González, Santi [0000-0001-5685-4580], Morgan, Claire C [0000-0002-8191-3738], Moran, Ignasi [0000-0002-3307-7106], Puiggros, Montserrat [0000-0001-5034-7924], Linneberg, Allan [0000-0002-0994-0184], Jørgensen, Marit E [0000-0001-8356-5565], Hansen, Torben [0000-0001-8748-3831], Ferrer, Jorge [0000-0002-5959-5729], Mercader, Josep Maria [0000-0001-8494-3660], Torrents, David [0000-0002-6086-9037], Apollo - University of Cambridge Repository, Barcelona Supercomputing Center, Medical Research Council (MRC), Universitat de Barcelona, and Badia, Rosa M.

Subjects
Male, 0301 basic medicine, Insulin Resistance/genetics, General Physics and Astronomy, GLUCOSE, Technical support, 0302 clinical medicine, Human genetics, Risk Factors, Gene Regulatory Networks, lcsh:Science, media_common, Independent research, RISK, INSULIN-RESISTANCE, Diabetis, Genètica humana, Genome, Multidisciplinary, Genetic Predisposition to Disease/genetics, Diabetes, Biobank, 3. Good health, Multidisciplinary Sciences, Research centre, Science & Technology - Other Topics, LOW-FREQUENCY, DIET-INDUCED OBESITY, Genetic data, SUSCEPTIBILITY LOCI, Genotype, Science, Library science, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Chromosomes, Human, X/genetics, Diabetis--Diagnòstic, Political science, MD Multidisciplinary, Journal Article, Humans, media_common.cataloged_instance, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, European union, METAANALYSIS, Alleles, Chromosomes, Human, X, Science & Technology, Models, Genetic, Diabetes--Diagnosis, Extramural, PANCREATIC-ISLETS, General Chemistry, 030104 developmental biology, CELLS, Susceptibility locus, lcsh:Q, Insulin Resistance, 030217 neurology & neurosurgery, Gene Regulatory Networks/genetics, Genome-Wide Association Study, Ciències de la salut [Àrees temàtiques de la UPC]
Abstract

The reanalysis of existing GWAS data represents a powerful and cost-effective opportunity to gain insights into the genetics of complex diseases. By reanalyzing publicly available type 2 diabetes (T2D) genome-wide association studies (GWAS) data for 70,127 subjects, we identify seven novel associated regions, five driven by common variants (LYPLAL1, NEUROG3, CAMKK2, ABO, and GIP genes), one by a low-frequency (EHMT2), and one driven by a rare variant in chromosome Xq23, rs146662057, associated with a twofold increased risk for T2D in males. rs146662057 is located within an active enhancer associated with the expression of Angiotensin II Receptor type 2 gene (AGTR2), a modulator of insulin sensitivity, and exhibits allelic specific activity in muscle cells. Beyond providing insights into the genetics and pathophysiology of T2D, these results also underscore the value of reanalyzing publicly available data using novel genetic resources and analytical approaches., This work has been sponsored by the grant SEV-2011-00067 of Severo Ochoa Program, awarded by the Spanish Government. This work was supported by an EFSD/Lilly research fellowship. Josep M. Mercader was supported by Sara Borrell Fellowship from the Instituto Carlos III and Beatriu de Pinós fellowship from the Agency for Management of University and Research Grants (AGAUR). Sílvia Bonàs was FI-DGR Fellowship from FI-DGR 2013 from Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR, Generalitat de Catalunya). This study makes use of data generated by the WTCCC. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113. This study also makes use of data generated by the UK10K Consortium, derived from samples from UK10K COHORT IMPUTATION (EGAS00001000713). A full list of the investigators who contributed to the generation of the data is available in www.UK10K.org. Funding for UK10K was provided by the Wellcome Trust under award WT091310. We acknowledge PRACE for awarding us to access MareNostrum supercomputer, based in Spain at Barcelona. The technical support group, particularly Pablo Ródenas and Jorge Rodríguez, from the Barcelona Supercomputing Center is gratefully acknowledged. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 667191. Mercè Planas-Fèlix is funded by the Obra Social Fundación la Caixa fellowship under the Severo Ochoa 2013 program. Work from Irene Miguel-Escalada, Ignasi Moran, Goutham Atla, and Jorge Ferrer was supported by the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, the Wellcome Trust (WT101033), Ministerio de Economía y Competitividad (BFU2014-54284-R) and Horizon 2020 (667191). Irene Miguel-Escalada has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska–Curie grant agreement No 658145. We acknowledge Prof. Giulio Cossu (Institute of Inflammation and Repair, University of Manchester) for providing the muscle myoblast cell line. We also acknowledge the InterAct and SIGMA Type 2 Diabetes Consortia for access to the data to replicate the rs146662075 variant. A full list of the investigators of the SIGMA Type 2 Diabetes and the InterAct consortia is provided in Supplementary Notes 3 and 4. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation (www.metabol.ku.dk). This research has been conducted using the UK Biobank Resource (application number 16803). We also acknowledge Bianca C. Porneala, MS for his technical assistance in the collection and curation of the genotype and phenotype data from Partners Biobank. We also thank Marcin von Grotthuss for their support for uploading the summary statistics data to the Type 2 Diabetes Genetic Portal (AMP-T2D portal). Finally, we thank all the Computational Genomics group at the BSC for their helpful discussions and valuable comments on the manuscript.

Published
2018
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7. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation

Author

Yolande F. M. Ramos, Tom Fiers, Jari Lahti, Tarunveer S. Ahluwalia, Elisa Kasbohm, Silvia Naitza, Hou-Feng Zheng, Charlotte Cerqueira, Ingrid Meulenbelt, Betina H. Thuesen, Ernst Rietzschel, Anne R. Cappola, John P. Walsh, Alessandro De Grandi, Johan G. Eriksson, Suzanne J. Brown, Jiaojiao Jing, Deborah Mascalzoni, Nicole Soranzo, Daniel Taliun, Margreet Kloppenburg, Purdey J Campbell, Kai-Uwe Eckardt, Yong Li, Mauro Pala, Marco Medici, Florian Kronenberg, Caterina Barbieri, Francesco Cucca, Allan Linneberg, Anna Köttgen, Bruce M. Psaty, Eric Boerwinkle, Ian J. Deary, Jennie Hui, Joris Deelen, Matthijs Moed, Astrid Petersmann, Graziano Ceresini, Michela Marina, Iris Postmus, Alice M. Arnold, Michiaki Kubo, J. Brent Richards, Marc De Buyzere, Henriette E. Meyer zu Schwabedissen, Eleonora Porcu, Christian Fuchsberger, Celia Di Munno, Dan E. Arking, David J. Stott, Toshiko Tanaka, Sofie Bekaert, Andrew A. Hicks, W. Edward Visser, Wouter den Hollander, Martin Gögele, Cinzia Sala, Peter P. Pramstaller, Georg Homuth, Yukinori Okada, Arne Astrup, Arif B. Ekici, Ulla T. Schultheiss, Richard A. Jensen, Christa Meisinger, Romana T. Netea-Maier, Rafael T. Mikolajczyk, Theo J. Visser, Marian Beekman, Michela Traglia, David C. Liewald, Koichi Matsuda, Thorkild I. A. Sørensen, Ilja M. Nolte, André G. Uitterlinden, David Schlessinger, Luigi Ferrrucci, Shuo Li, Alexander Teumer, Daniel Tiller, Sarah E. Harris, J. Wouter Jukema, Rajesh Rawal, Tim De Meyer, Kadri Haljas, Greet Roef, Yoichiro Kamatani, Karin Halina Greiser, Jean-Marc Kaufman, Serena Sanna, Bruce H. R. Wolffenbuttel, Scott Wilson, Daniela Toniolo, Ee Mun Lim, Stefan Groeneweg, Caroline S. Fox, Torben Hansen, Masato Akiyama, Christian Gieger, Layal Chaker, Tim D. Spector, Ian Ford, Martin den Heijer, P. Eline Slagboom, Elizabeth Selvin, Lambertus A. Kiemeney, Emil V. R. Appel, Niels Grarup, Diana van Heemst, Youri Taes, Robin P. Peeters, Henry Völzke, Cristian Pattaro, Daniel Medenwald, John M. Starr, Qiong Yang, Jerome I. Rotter, M. Arfan Ikram, Edoardo Fiorillo, Till Ittermann, Oluf Pedersen, Eero Kajantie, John Beilby, Tessel E. Galesloot, Fernando Rivadeneira, Paul Redmond, Bruno Lapauw, Lifelines Cohort Study, Alizadeh, B.Z., Boezen, H.M., Franke, L., van der Harst, P., Navis, G., Rots, M., Snieder, H., Swertz, M.A., Wijmenga, C., Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Clinicum, University of Helsinki, Department of Psychology and Logopedics, Doctoral Programme in Cognition, Learning, Instruction and Communication, Medicum, Lastentautien yksikkö, Children's Hospital, HUS Children and Adolescents, Developmental Psychology Research Group, Internal medicine, AGEM - Endocrinology, metabolism and nutrition, Amsterdam Movement Sciences - Rehabilitation & Development, Amsterdam Movement Sciences - Restoration and Development, APH - Aging & Later Life, Epidemiology, Internal Medicine, Teumer, Alexander [0000-0002-8309-094X], Ahluwalia, Tarunveer S [0000-0002-7464-3354], Appel, Emil Vincent R [0000-0001-7704-6611], Astrup, Arne [0000-0001-8968-8996], Beekman, Marian [0000-0003-0585-6206], Beilby, John P [0000-0002-4915-2254], Ekici, Arif B [0000-0001-6099-7066], Grarup, Niels [0000-0001-5526-1070], Hansen, Torben [0000-0001-8748-3831], Hicks, Andrew A [0000-0001-6320-0411], Ikram, M Arfan [0000-0003-0372-8585], Jukema, J Wouter [0000-0002-3246-8359], Kamatani, Yoichiro [0000-0001-8748-5597], Kronenberg, Florian [0000-0003-2229-1120], Lahti, Jari [0000-0002-4310-5297], Li, Shuo [0000-0003-2331-2448], Liewald, David CM [0000-0002-0544-7368], Linneberg, Allan [0000-0002-0994-0184], Mascalzoni, Deborah [0000-0003-4156-1464], Meulenbelt, Ingrid [0000-0001-7786-7081], Netea-Maier, Romana T [0000-0002-9603-0460], Nolte, Ilja M [0000-0001-5047-4077], Okada, Yukinori [0000-0002-0311-8472], Ramos, Yolande FM [0000-0003-1459-413X], Richards, J Brent [0000-0002-3746-9086], Soranzo, Nicole [0000-0003-1095-3852], Yang, Qiong [0000-0002-3658-1375], Köttgen, Anna [0000-0002-4671-3714], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Genetic variants, endocrine system diseases, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Thyroid Gland, Thyrotropin, Metabolyzing hormone (AADAT), General Physics and Astronomy, EFFICIENT, Genome-wide association study, Thyroid hormone transporter (SLC17A4), Disease, VARIANTS, Bioinformatics, Hyperthyroidism, DISEASE, 0302 clinical medicine, SUBCLINICAL HYPOTHYROIDISM, Risk Factors, Genome-wide analysis, Chlorocebus aethiops, Faculty of Science, Medicine, lcsh:Science, POPULATION, RISK, education.field_of_study, Multidisciplinary, HERITABILITY, Thyroid disease, Thyroid, Thyroid dysfunction, ASSOCIATION, 3. Good health, medicine.anatomical_structure, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], COS Cells, Thyroid function, Sodium-Phosphate Cotransporter Proteins, Type I, Thyroid Hormones, endocrine system, PARTICIPANT DATA-ANALYSIS, Science, Population, 030209 endocrinology & metabolism, Rare cancers Radboud Institute for Molecular Life Sciences [Radboudumc 9], Polymorphism, Single Nucleotide, White People, Article, General Biochemistry, Genetics and Molecular Biology, MONOCARBOXYLATE TRANSPORTER-8, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, Hypothyroidism, Animals, Humans, ddc:610, education, METAANALYSIS, Genetic association, 2-Aminoadipate Transaminase, IDENTIFICATION, business.industry, Biology and Life Sciences, Biological Transport, General Chemistry, REFERENCE RANGE, medicine.disease, R1, 2-Aminoadipate Transaminase/genetics, 2-Aminoadipate Transaminase/metabolism, Cercopithecus aethiops, European Continental Ancestry Group, Gene Expression Regulation/genetics, Genome-Wide Association Study, Hyperthyroidism/genetics, Hyperthyroidism/physiopathology, Hypothyroidism/genetics, Hypothyroidism/physiopathology, Sodium-Phosphate Cotransporter Proteins, Type I/genetics, Sodium-Phosphate Cotransporter Proteins, Type I/metabolism, Thyroid Gland/metabolism, Thyroid Gland/physiopathology, Thyroid Hormones/genetics, Thyroid Hormones/metabolism, Thyrotropin/metabolism, 030104 developmental biology, Gene Expression Regulation, ATRIAL-FIBRILLATION, lcsh:Q, 3111 Biomedicine, business, Thyroid hormone regulation, Hormone
Abstract

Thyroid dysfunction is an important public health problem, which affects 10% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves’ disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets., Thyroid dysfunction is a common public health problem and associated with cardiovascular co-morbidities. Here, the authors carry out genome-wide meta-analysis for thyroid hormone (TH) levels, hyper- and hypothyroidism and identify SLC17A4 as a TH transporter and AADAT as a TH metabolizing enzyme.

Published
2018
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