Search

Your search keyword '"Cederberg, Henna"' showing total 240 results
Start Over Author "Cederberg, Henna"
240 results on '"Cederberg, Henna"'

1. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

Author

Brown, Andrew A., Fernandez-Tajes, Juan J., Hong, Mun-gwan, Brorsson, Caroline A., Koivula, Robert W., Davtian, David, Dupuis, Théo, Sartori, Ambra, Michalettou, Theodora-Dafni, Forgie, Ian M., Adam, Jonathan, Allin, Kristine H., Caiazzo, Robert, Cederberg, Henna, De Masi, Federico, Elders, Petra J. M., Giordano, Giuseppe N., Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison J., Howald, Cédric, Jones, Angus G., Kokkola, Tarja, Laakso, Markku, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Mourby, Miranda, Musholt, Petra B., Nilsson, Birgitte, Pattou, Francois, Penet, Deborah, Raverdy, Violeta, Ridderstråle, Martin, Romano, Luciana, Rutters, Femke, Sharma, Sapna, Teare, Harriet, ‘t Hart, Leen, Tsirigos, Konstantinos D., Vangipurapu, Jagadish, Vestergaard, Henrik, Brunak, Søren, Franks, Paul W., Frost, Gary, Grallert, Harald, Jablonka, Bernd, McCarthy, Mark I., Pavo, Imre, Pedersen, Oluf, Ruetten, Hartmut, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., Pearson, Ewan R., Dermitzakis, Emmanouil T., and Viñuela, Ana

Published
2023
Full Text
View/download PDF

3. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics
Abstract

A correction to this article has been published and is linked from the HTML version of this article.

Published
2017

4. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei

Subjects
Humans, Thinness, 17-Hydroxysteroid Dehydrogenases, Aldehyde Oxidoreductases, Extracellular Matrix Proteins, Body Composition, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regulatory Elements, Transcriptional, Versicans, Genome-Wide Association Study, Insulin Receptor Substrate Proteins, ADAMTS Proteins, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Human Genome, Genetics, 1.1 Normal biological development and functioning
Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p

Published
2017

6. Association of ketone body levels with hyperglycemia and type 2 diabetes in 9,398 Finnish men.

Author

Mahendran, Yuvaraj, Vangipurapu, Jagadish, Cederberg, Henna, Stancáková, Alena, Pihlajamäki, Jussi, Soininen, Pasi, Kangas, Antti, Paananen, Jussi, Civelek, Mete, Saleem, Niyas, Pajukanta, Päivi, Lusis, Aldons, Bonnycastle, Lori, Morken, Mario, Collins, Francis, Mohlke, Karen, Boehnke, Michael, Ala-Korpela, Mika, Kuusisto, Johanna, and Laakso, Markku

Subjects
3-Hydroxybutyric Acid, Acetoacetates, Area Under Curve, Biomarkers, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Finland, Genome-Wide Association Study, Glucose Tolerance Test, Humans, Hyperglycemia, Ketone Bodies, Male, Metabolic Syndrome, Middle Aged, Polymorphism, Single Nucleotide, Predictive Value of Tests, Risk Factors, White People
Abstract

We investigated the association of the levels of ketone bodies (KBs) with hyperglycemia and with 62 genetic risk variants regulating glucose levels or type 2 diabetes in the population-based Metabolic Syndrome in Men (METSIM) study, including 9,398 Finnish men without diabetes or newly diagnosed type 2 diabetes. Increasing fasting and 2-h plasma glucose levels were associated with elevated levels of acetoacetate (AcAc) and β-hydroxybutyrate (BHB). AcAc and BHB predicted an increase in the glucose area under the curve in an oral glucose tolerance test, and AcAc predicted the conversion to type 2 diabetes in a 5-year follow-up of the METSIM cohort. Impaired insulin secretion, but not insulin resistance, explained these findings. Of the 62 single nucleotide polymorphisms associated with the risk of type 2 diabetes or hyperglycemia, the glucose-increasing C allele of GCKR significantly associated with elevated levels of fasting BHB levels. Adipose tissue mRNA expression levels of genes involved in ketolysis were significantly associated with insulin sensitivity (Matsuda index). In conclusion, high levels of KBs predicted subsequent worsening of hyperglycemia, and a common variant of GCKR was significantly associated with BHB levels.

Published
2013

7. Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study

Author

Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Mazzoni, Gianluca, Allin, Kristine H., Artati, Anna, Beulens, Joline W., Banasik, Karina, Brorsson, Caroline, Cederberg, Henna, Chabanova, Elizaveta, De Masi, Federico, Elders, Petra J., Forgie, Ian, Giordano, Giuseppe N., Grallert, Harald, Gupta, Ramneek, Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison, Hong, Mun-Gwan, Jones, Angus G., Koivula, Robert, Kokkola, Tarja, Laakso, Markku, Løngreen, Peter, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Musholt, Petra B., Pavo, Imre, Prehn, Cornelia, Ruetten, Hartmut, Ridderstråle, Martin, Rutters, Femke, Sharma, Sapna, Slieker, Roderick C., Syed, Ali, Tajes, Juan Fernandez, Thomas, Cecilia Engel, Thomsen, Henrik S., Vangipurapu, Jagadish, Vestergaard, Henrik, Viñuela, Ana, Wesolowska-Andersen, Agata, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., McCarthy, Mark I., Pearson, Ewan, Dermitzakis, Emmanouil, Franks, Paul W., Pedersen, Oluf, and Brunak, Søren

Published
2020
Full Text
View/download PDF

9. 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

15. Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: rationale and design of the epidemiological studies within the IMI DIRECT Consortium

Author

Koivula, Robert W., Heggie, Alison, Barnett, Anna, Cederberg, Henna, Hansen, Tue H., Koopman, Anitra D., Ridderstråle, Martin, Rutters, Femke, Vestergaard, Henrik, Gupta, Ramneek, Herrgård, Sanna, Heymans, Martijn W., Perry, Mandy H., Rauh, Simone, Siloaho, Maritta, Teare, Harriet J. A., Thorand, Barbara, Bell, Jimmy, Brunak, Søren, Frost, Gary, Jablonka, Bernd, Mari, Andrea, McDonald, Tim J., Dekker, Jacqueline M., Hansen, Torben, Hattersley, Andrew, Laakso, Markku, Pedersen, Oluf, Koivisto, Veikko, Ruetten, Hartmut, Walker, Mark, Pearson, Ewan, Franks, Paul W., and for the DIRECT Consortium

Published
2014
Full Text
View/download PDF

20. Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study

Author

Atabaki-Pasdar, Naeimeh, primary, Pomares-Millan, Hugo, additional, Koivula, Robert W, additional, Tura, Andrea, additional, Brown, Andrew, additional, Viñuela, Ana, additional, Agudelo, Leandro, additional, Coral, Daniel, additional, van Oort, Sabine, additional, Allin, Kristine, additional, Chabanova, Elizaveta, additional, Cederberg, Henna, additional, De Masi, Federico, additional, Elders, Petra, additional, Tajes, Juan Fernandez, additional, Forgie, Ian M, additional, Hansen, Tue H, additional, Heggie, Alison, additional, Jones, Angus, additional, Kokkola, Tarja, additional, Mahajan, Anubha, additional, McDonald, Timothy J, additional, McEvoy, Donna, additional, Tsirigos, Konstantinos, additional, Teare, Harriet, additional, Vangipurapu, Jagadish, additional, Vestergaard, Henrik, additional, Adamski, Jerzy, additional, Beulens, Joline WJ, additional, Brunak, Søren, additional, Dermitzakis, Emmanouil, additional, Hansen, Torben, additional, Hattersley, Andrew T, additional, Laakso, Markku, additional, Pedersen, Oluf, additional, Ridderstråle, Martin, additional, Ruetten, Hartmut, additional, Rutters, Femke, additional, Schwenk, Jochen M, additional, Walker, Mark, additional, Giordano, Giuseppe N, additional, Ohlsson, Mattias, additional, Gupta, Ramneek, additional, Mari, Andrea, additional, McCarthy, Mark I, additional, Thomas, E Louise, additional, Bell, Jimmy D, additional, Pavo, Imre, additional, Pearson, Ewan R, additional, and Franks, Paul W, additional

Published
2021
Full Text
View/download PDF

21. Profiles of Glucose Metabolism in Different Prediabetes Phenotypes, Classified by Fasting Glycemia, 2-Hour OGTT, Glycated Hemoglobin, and 1-hour OGTT: An IMI DIRECT Study

Author

Tura, Andrea, primary, Grespan, Eleonora, primary, Göbl, Christian S., primary, Koivula, Robert W., primary, Franks, Paul W., primary, Pearson, Ewan R., primary, Walker, Mark, primary, Forgie, Ian M., primary, Giordano, Giuseppe N., primary, Pavo, Imre, primary, Ruetten, Hartmut, primary, Dermitzakis, Emmanouil T., primary, McCarthy, Mark I., primary, Pedersen, Oluf, primary, Schwenk, Jochen M., primary, Adamski, Jerzy, primary, Masi, Federico De, primary, Tsirigos, Konstantinos D., primary, Brunak, Søren, primary, Viñuela, Ana, primary, Mahajan, Anubha, primary, McDonald, Timothy J., primary, Kokkola, Tarja, primary, Vangipurapu, Jagadish, primary, Cederberg, Henna, primary, Laakso, Markku, primary, Rutters, Femke, primary, Elders, Petra J.M., primary, Koopman, Anitra D.M., primary, Beulens, Joline W., primary, Ridderstråle, Martin, primary, Hansen, Tue H., primary, Allin, Kristine H., primary, Hansen, Torben, primary, Vestergaard, Henrik, primary, Mari, Andrea, primary, and Consortium, IMI DIRECT, primary

Published
2021
Full Text
View/download PDF

22. Genome-Wide Association Analysis of Pancreatic Beta-Cell Glucose Sensitivity

Author

Deshmukh, Harshal A., Madsen, Anne Lundager, Vinuela, Ana, Have, Christian Theil, Grarup, Niels, Tura, Andrea, Mahajan, Anubha, Heggie, Alison J., Koivula, Robert W., De Masi, Federico, Tsirigos, Konstantinos K., Linneberg, Allan, Drivsholm, Thomas, Pedersen, Oluf, Sorensen, Thorkild I. A., Astrup, Arne, Gjesing, Anette A. P., Pavo, Imre, Wood, Andrew R., Ruetten, Hartmut, Jones, Angus G., Koopman, Anitra D. M., Cederberg, Henna, Rutters, Femke, Ridderstrale, Martin, Laakso, Markku, McCarthy, Mark, I, Frayling, Tim M., Ferrannini, Ele, Franks, Paul W., Pearson, Ewan R., Mari, Andrea, Hansen, Torben, Walker, Mark, Deshmukh, Harshal A., Madsen, Anne Lundager, Vinuela, Ana, Have, Christian Theil, Grarup, Niels, Tura, Andrea, Mahajan, Anubha, Heggie, Alison J., Koivula, Robert W., De Masi, Federico, Tsirigos, Konstantinos K., Linneberg, Allan, Drivsholm, Thomas, Pedersen, Oluf, Sorensen, Thorkild I. A., Astrup, Arne, Gjesing, Anette A. P., Pavo, Imre, Wood, Andrew R., Ruetten, Hartmut, Jones, Angus G., Koopman, Anitra D. M., Cederberg, Henna, Rutters, Femke, Ridderstrale, Martin, Laakso, Markku, McCarthy, Mark, I, Frayling, Tim M., Ferrannini, Ele, Franks, Paul W., Pearson, Ewan R., Mari, Andrea, Hansen, Torben, and Walker, Mark

Abstract

Context: Pancreatic beta-cell glucose sensitivity is the slope of the plasma glucose-insulin secretion relationship and is a key predictor of deteriorating glucose tolerance and development of type 2 diabetes. However, there are no large-scale studies looking at the genetic determinants of beta-cell glucose sensitivity. Objective: To understand the genetic determinants of pancreatic beta-cell glucose sensitivity using genome-wide meta-analysis and candidate gene studies. Design: We performed a genome-wide meta-analysis for beta-cell glucose sensitivity in subjects with type 2 diabetes and nondiabetic subjects from 6 independent cohorts (n = 5706). Beta-cell glucose sensitivity was calculated from mixed meal and oral glucose tolerance tests, and its associations between known glycemia-related single nucleotide polymorphisms (SNPs) and genome-wide association study (GWAS) SNPs were estimated using linear regression models. Results: Beta-cell glucose sensitivity was moderately heritable (h2 ranged from 34% to 55%) using SNP and family-based analyses. GWAS meta-analysis identified multiple correlated SNPs in the CDKAL1 gene and GIPR-QPCTL gene loci that reached genome-wide significance, with SNP rs2238691 in GIPR-QPCTL (P value = 2.64 × 10−9) and rs9368219 in the CDKAL1 (P value = 3.15 × 10−9) showing the strongest association with beta-cell glucose sensitivity. These loci surpassed genome-wide significance when the GWAS meta-analysis was repeated after exclusion of the diabetic subjects. After correction for multiple testing, glycemia-associated SNPs in or near the HHEX and IGF2B2 loci were also associated with beta-cell glucose sensitivity. Conclusion: We show that, variation at the GIPR-QPCTL and CDKAL1 loci are key determinants of pancreatic beta-cell glucose sensitivity.

Published
2021
Full Text
View/download PDF

23. Profiles of glucose metabolism in different prediabetes phenotypes, classified by fasting glycemia, 2-hour OGTT, glycated hemoglobin, and 1-hour OGTT:An IMI DIRECT study

Author

Tura, Andrea, Grespan, Eleonora, Göbl, Christian S, Koivula, Robert W, Franks, Paul W, Pearson, Ewan R, Walker, Mark, Forgie, Ian M, Giordano, Giuseppe N, Pavo, Imre, Ruetten, Hartmut, Dermitzakis, Emmanouil T, McCarthy, Mark I, Pedersen, Oluf, Schwenk, Jochen M, Adamski, Jerzy, De Masi, Federico, Tsirigos, Konstantinos D, Brunak, Søren, Viñuela, Ana, Mahajan, Anubha, McDonald, Timothy J, Kokkola, Tarja, Vangipurapu, Jagadish, Cederberg, Henna, Laakso, Markku, Rutters, Femke, Elders, Petra J M, Koopman, Anitra D M, Beulens, Joline W, Ridderstråle, Martin, Hansen, Tue H, Allin, Kristine H, Hansen, Torben, Vestergaard, Henrik, Mari, Andrea, Tura, Andrea, Grespan, Eleonora, Göbl, Christian S, Koivula, Robert W, Franks, Paul W, Pearson, Ewan R, Walker, Mark, Forgie, Ian M, Giordano, Giuseppe N, Pavo, Imre, Ruetten, Hartmut, Dermitzakis, Emmanouil T, McCarthy, Mark I, Pedersen, Oluf, Schwenk, Jochen M, Adamski, Jerzy, De Masi, Federico, Tsirigos, Konstantinos D, Brunak, Søren, Viñuela, Ana, Mahajan, Anubha, McDonald, Timothy J, Kokkola, Tarja, Vangipurapu, Jagadish, Cederberg, Henna, Laakso, Markku, Rutters, Femke, Elders, Petra J M, Koopman, Anitra D M, Beulens, Joline W, Ridderstråle, Martin, Hansen, Tue H, Allin, Kristine H, Hansen, Torben, Vestergaard, Henrik, and Mari, Andrea

Abstract

Differences in glucose metabolism among categories of prediabetes have not been systematically investigated. In this longitudinal study, participants (N=2111) underwent 2h-75g OGTT at baseline and 48 months. HbA1c was also measured. We classified participants as having isolated prediabetes defect (impaired fasting glucose, IFG; impaired glucose tolerance, IGT; HbA1c-prediabetes, IA1c), two defects (IFG+IGT, IFG+IA1c, IGT+IA1c), or all defects (IFG+IGT+IA1c). Beta-cell function (BCF) and insulin sensitivity (IS) were assessed from OGTT. At baseline, when pooling participants with isolated defects, they showed impairment in both BCF and IS compared to healthy controls. Pooled groups with two or three defects showed progressive further deterioration. Among groups with isolated defect, IGT showed lower IS, insulin secretion at reference glucose (ISRr), and insulin secretion potentiation (p<0.002). Conversely, IA1c showed higher IS and ISRr (p<0.0001). Among groups with two defects, we similarly found differences in both BCF and IS. At 48 months, we found higher type 2 diabetes incidence for progressively increasing number of prediabetes defects (odds ratio >2, p<0.008). In conclusion, the prediabetes groups showed differences in type/degree of glucometabolic impairment. Compared to the pooled group with isolated defects, those with double or triple defect showed progressive differences in diabetes incidence.

Published
2021

24. Genome-Wide Association Analysis of Pancreatic Beta-Cell Glucose Sensitivity

Author

Deshmukh, Harshal A, Madsen, Anne Lundager, Viñuela, Ana, Have, Christian Theil, Grarup, Niels, Tura, Andrea, Mahajan, Anubha, Heggie, Alison J, Koivula, Robert W, De Masi, Federico, Tsirigos, Konstantinos K, Linneberg, Allan, Drivsholm, Thomas, Pedersen, Oluf, Sørensen, Thorkild I A, Astrup, Arne, Gjesing, Anette A P, Pavo, Imre, Wood, Andrew R, Ruetten, Hartmut, Jones, Angus G, Koopman, Anitra D M, Cederberg, Henna, Rutters, Femke, Ridderstrale, Martin, Laakso, Markku, McCarthy, Mark I, Frayling, Tim M, Ferrannini, Ele, Franks, Paul W, Pearson, Ewan R, Mari, Andrea, Hansen, Torban, Walker, Mark, Deshmukh, Harshal A, Madsen, Anne Lundager, Viñuela, Ana, Have, Christian Theil, Grarup, Niels, Tura, Andrea, Mahajan, Anubha, Heggie, Alison J, Koivula, Robert W, De Masi, Federico, Tsirigos, Konstantinos K, Linneberg, Allan, Drivsholm, Thomas, Pedersen, Oluf, Sørensen, Thorkild I A, Astrup, Arne, Gjesing, Anette A P, Pavo, Imre, Wood, Andrew R, Ruetten, Hartmut, Jones, Angus G, Koopman, Anitra D M, Cederberg, Henna, Rutters, Femke, Ridderstrale, Martin, Laakso, Markku, McCarthy, Mark I, Frayling, Tim M, Ferrannini, Ele, Franks, Paul W, Pearson, Ewan R, Mari, Andrea, Hansen, Torban, and Walker, Mark

Abstract

Context: Pancreatic beta-cell glucose sensitivity is the slope of the plasma glucose-insulin secretion relationship and is a key predictor of deteriorating glucose tolerance and development of type 2 diabetes. However, there are no large-scale studies looking at the genetic determinants of beta cell glucose sensitivity.Objective: To understand the genetic determinants of pancreatic beta-cell glucose sensitivity using genome-wide meta-analysis and candidate gene studies.Design: We performed a genome-wide meta-analysis for beta-cell glucose sensitivity in subjects with type 2 diabetes and non-diabetic subjects from 6 independent cohorts (n=5,706). Beta-cell glucose sensitivity was calculated from mixed-meal and oral glucose tolerance tests, and its associations between known glycaemia related SNPS and GWAS SNPs were estimated using linear regression models.Results: Beta-cell glucose sensitivity was moderately heritable (h2 ranged between 34 to 55%) using SNP and family-based analyses. GWAS meta-analysis identified multiple correlated SNPs in the CDKAL1 gene and GIPR-QPCTL gene loci that reached genome-wide significance, with SNP rs2238691 in GIPR-QPCTL (P-value=2.64x10-9) and rs9368219 in the CDKAL1 (P-value=3.15x10-9) showing the strongest association with beta-cell glucose sensitivity. These loci surpassed genome-wide significance when the GWAS meta-analysis was repeated after exclusion of the diabetic subjects. After correction for multiple testing, glycemia associated SNPs in or near the HHEX and IGF2B2 loci were also associated with beta-cell glucose sensitivity.Conclusion: We show that, variation at the GIPR-QPCTL and CDKAL1 loci are key determinants of pancreatic beta cell glucose sensitivity.

Published
2021

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

Author

Atabaki-Pasdar, Naeimeh, Ohlsson, Mattias, Viñuela, Ana, Frau, Francesca, Pomares-Millan, Hugo, Haid, Mark, Jones, Angus G, Thomas, E Louise, Koivula, Robert W, Kurbasic, Azra, Mutie, Pascal M, Fitipaldi, Hugo, Fernandez, Juan, Dawed, Adem Y, Giordano, Giuseppe N, Forgie, Ian M, McDonald, Timothy J, Rutters, Femke, Cederberg, Henna, Chabanova, Elizaveta, Dale, Matilda, Masi, Federico De, Thomas, Cecilia Engel, Allin, Kristine H., Hansen, Tue H, Heggie, Alison, Hong, Mun-Gwan, Elders, Petra J M, Kennedy, Gwen, Kokkola, Tarja, Pedersen, Helle Krogh, Mahajan, Anubha, McEvoy, Donna, Pattou, Francois, Raverdy, Violeta, Häussler, Ragna S, Sharma, Sapna, Thomsen, Henrik S, Vangipurapu, Jagadish, Vestergaard, Henrik, Adamski, Jerzy, Musholt, Petra B, Brage, Søren, Brunak, Søren, Dermitzakis, Emmanouil, Frost, Gary, Hansen, Torben, Laakso, Markku, and Pedersen, Oluf

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 (CONCLUSIONS: In this study, we developed several models with different combinations of clinical and omics data and identified biological features that appear to be associated with liver fat accumulation. In general, the clinical variables showed better prediction ability than the complex omics variables. However, the combination of omics and clinical variables yielded the highest accuracy. We have incorporated the developed clinical models into a web interface (see: https://www.predictliverfat.org/) and made it available to the community.TRIAL REGISTRATION: ClinicalTrials.gov NCT03814915.

Published
2020
Full Text
View/download PDF

26. Additional file 1 of Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study

Author

Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Mazzoni, Gianluca, Allin, Kristine H., Artati, Anna, Beulens, Joline W., Banasik, Karina, Brorsson, Caroline, Cederberg, Henna, Chabanova, Elizaveta, Masi, Federico De, Elders, Petra J., Forgie, Ian, Giordano, Giuseppe N., Grallert, Harald, Ramneek Gupta, Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison, Mun-Gwan Hong, Jones, Angus G., Koivula, Robert, Kokkola, Tarja, Laakso, Markku, Løngreen, Peter, Anubha Mahajan, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Musholt, Petra B., Pavo, Imre, Prehn, Cornelia, Ruetten, Hartmut, Ridderstråle, Martin, Rutters, Femke, Sharma, Sapna, Slieker, Roderick C., Syed, Ali, Tajes, Juan Fernandez, Thomas, Cecilia Engel, Thomsen, Henrik S., Jagadish Vangipurapu, Vestergaard, Henrik, Viñuela, Ana, Wesolowska-Andersen, Agata, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., McCarthy, Mark I., Pearson, Ewan, Dermitzakis, Emmanouil, Franks, Paul W., Pedersen, Oluf, and Brunak, Søren

Abstract

Additional file 1. Supplementary Figures. This file contains Fig. S1 – S13.

Published
2020
Full Text
View/download PDF

27. Additional file 2 of Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study

Author

Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Mazzoni, Gianluca, Allin, Kristine H., Artati, Anna, Beulens, Joline W., Banasik, Karina, Brorsson, Caroline, Cederberg, Henna, Chabanova, Elizaveta, Masi, Federico De, Elders, Petra J., Forgie, Ian, Giordano, Giuseppe N., Grallert, Harald, Ramneek Gupta, Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison, Mun-Gwan Hong, Jones, Angus G., Koivula, Robert, Kokkola, Tarja, Laakso, Markku, Løngreen, Peter, Anubha Mahajan, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Musholt, Petra B., Pavo, Imre, Prehn, Cornelia, Ruetten, Hartmut, Ridderstråle, Martin, Rutters, Femke, Sharma, Sapna, Slieker, Roderick C., Syed, Ali, Tajes, Juan Fernandez, Thomas, Cecilia Engel, Thomsen, Henrik S., Jagadish Vangipurapu, Vestergaard, Henrik, Viñuela, Ana, Wesolowska-Andersen, Agata, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., McCarthy, Mark I., Pearson, Ewan, Dermitzakis, Emmanouil, Franks, Paul W., Pedersen, Oluf, and Brunak, Søren

Subjects
Data_FILES
Abstract

Additional file 2. Supplementary Methods. This file contains methods descriptions for omics data generation and preprocessing.

Published
2020
Full Text
View/download PDF

28. Whole blood co-expression modules associate with metabolic traits and type 2 diabetes:an IMI-DIRECT study

Author

Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Mazzoni, Gianluca, Allin, Kristine H., Artati, Anna, Beulens, Joline W., Banasik, Karina, Brorsson, Caroline, Cederberg, Henna, Chabanova, Elizaveta, De Masi, Federico, Elders, Petra J., Forgie, Ian, Giordano, Giuseppe N., Grallert, Harald, Gupta, Ramneek, Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison, Hong, Mun Gwan, Jones, Angus G., Koivula, Robert, Kokkola, Tarja, Laakso, Markku, Løngreen, Peter, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Musholt, Petra B., Pavo, Imre, Prehn, Cornelia, Ruetten, Hartmut, Ridderstråle, Martin, Rutters, Femke, Sharma, Sapna, Slieker, Roderick C., Syed, Ali, Tajes, Juan Fernandez, Thomas, Cecilia Engel, Thomsen, Henrik S., Vangipurapu, Jagadish, Vestergaard, Henrik, Viñuela, Ana, Wesolowska-Andersen, Agata, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., McCarthy, Mark I., Pearson, Ewan, Dermitzakis, Emmanouil, Franks, Paul W., Pedersen, Oluf, Brunak, Søren, Gudmundsdottir, Valborg, Pedersen, Helle Krogh, Mazzoni, Gianluca, Allin, Kristine H., Artati, Anna, Beulens, Joline W., Banasik, Karina, Brorsson, Caroline, Cederberg, Henna, Chabanova, Elizaveta, De Masi, Federico, Elders, Petra J., Forgie, Ian, Giordano, Giuseppe N., Grallert, Harald, Gupta, Ramneek, Haid, Mark, Hansen, Torben, Hansen, Tue H., Hattersley, Andrew T., Heggie, Alison, Hong, Mun Gwan, Jones, Angus G., Koivula, Robert, Kokkola, Tarja, Laakso, Markku, Løngreen, Peter, Mahajan, Anubha, Mari, Andrea, McDonald, Timothy J., McEvoy, Donna, Musholt, Petra B., Pavo, Imre, Prehn, Cornelia, Ruetten, Hartmut, Ridderstråle, Martin, Rutters, Femke, Sharma, Sapna, Slieker, Roderick C., Syed, Ali, Tajes, Juan Fernandez, Thomas, Cecilia Engel, Thomsen, Henrik S., Vangipurapu, Jagadish, Vestergaard, Henrik, Viñuela, Ana, Wesolowska-Andersen, Agata, Walker, Mark, Adamski, Jerzy, Schwenk, Jochen M., McCarthy, Mark I., Pearson, Ewan, Dermitzakis, Emmanouil, Franks, Paul W., Pedersen, Oluf, and Brunak, Søren

Abstract

Background: The rising prevalence of type 2 diabetes (T2D) poses a major global challenge. It remains unresolved to what extent transcriptomic signatures of metabolic dysregulation and T2D can be observed in easily accessible tissues such as blood. Additionally, large-scale human studies are required to further our understanding of the putative inflammatory component of insulin resistance and T2D. Here we used transcriptomics data from individuals with (n = 789) and without (n = 2127) T2D from the IMI-DIRECT cohorts to describe the co-expression structure of whole blood that mainly reflects processes and cell types of the immune system, and how it relates to metabolically relevant clinical traits and T2D. Methods: Clusters of co-expressed genes were identified in the non-diabetic IMI-DIRECT cohort and evaluated with regard to stability, as well as preservation and rewiring in the cohort of individuals with T2D. We performed functional and immune cell signature enrichment analyses, and a genome-wide association study to describe the genetic regulation of the modules. Phenotypic and trans-omics associations of the transcriptomic modules were investigated across both IMI-DIRECT cohorts. Results: We identified 55 whole blood co-expression modules, some of which clustered in larger super-modules. We identified a large number of associations between these transcriptomic modules and measures of insulin action and glucose tolerance. Some of the metabolically linked modules reflect neutrophil-lymphocyte ratio in blood while others are independent of white blood cell estimates, including a module of genes encoding neutrophil granule proteins with antibacterial properties for which the strongest associations with clinical traits and T2D status were observed. Through the integration of genetic and multi-omics data, we provide a holistic view of the regulation and molecular context of whole blood transcriptomic modules. We furthermore identified an overlap between genetic sig

Published
2020

29. Genome-Wide Association Analysis of Pancreatic Beta Cell Glucose Sensitivity

Author

Deshmukh, Harshal A., Madsen, Anne Lundager, Viñuela, Ana, Have, Christian Theil, Grarup, Niels, Tura, Andrea, Mahajan, Anubha, Heggie, Alison J., Koivula, Robert W., De Masi, Federico, Tsirigos, Konstantinos K., Linneberg, Allan, Drivsholm, Thomas, Pedersen, Oluf, Sørensen, Thorkild I.A., Astrup, Arne, Gjesing, Anette A.P., Pavo, Imre, Wood, Andrew R., Ruetten, Hartmut, Jones, Angus G., Koopman, Anitra D.M., Cederberg, Henna, Rutters, Femke, Ridderstrale, Martin, Laakso, Markku, McCarthy, Mark I., Frayling, Tim M., Ferrannini, Ele, Franks, Paul W., Pearson, Ewan R., Mari, Andrea, Hansen, Torban, Walker, Mark, Deshmukh, Harshal A., Madsen, Anne Lundager, Viñuela, Ana, Have, Christian Theil, Grarup, Niels, Tura, Andrea, Mahajan, Anubha, Heggie, Alison J., Koivula, Robert W., De Masi, Federico, Tsirigos, Konstantinos K., Linneberg, Allan, Drivsholm, Thomas, Pedersen, Oluf, Sørensen, Thorkild I.A., Astrup, Arne, Gjesing, Anette A.P., Pavo, Imre, Wood, Andrew R., Ruetten, Hartmut, Jones, Angus G., Koopman, Anitra D.M., Cederberg, Henna, Rutters, Femke, Ridderstrale, Martin, Laakso, Markku, McCarthy, Mark I., Frayling, Tim M., Ferrannini, Ele, Franks, Paul W., Pearson, Ewan R., Mari, Andrea, Hansen, Torban, and Walker, Mark

Abstract

Context: Pancreatic beta-cell glucose sensitivity is the slope of the plasma glucoseinsulin secretion relationship and is a key predictor of deteriorating glucose tolerance and development of type 2 diabetes. However, there are no large-scale studies looking at the genetic determinants of beta-cell glucose sensitivity. Objective: To understand the genetic determinants of pancreatic beta-cell glucose sensitivity using genome-wide meta-analysis and candidate gene studies. Design: We performed a genome-wide meta-analysis for beta-cell glucose sensitivity in subjects with type 2 diabetes and nondiabetic subjects from 6 independent cohorts (n = 5706). Beta-cell glucose sensitivity was calculated from mixed meal and oral glucose tolerance tests, and its associations between known glycemia-related single nucleotide polymorphisms (SNPs) and genome-wide association study (GWAS) SNPs were estimated using linear regression models. Results: Beta-cell glucose sensitivity was moderately heritable (h2 ranged from 34% to 55%) using SNP and family-based analyses. GWAS meta-analysis identified multiple correlated SNPs in the CDKAL1 gene and GIPR-QPCTL gene loci that reached genomewide significance, with SNP rs2238691 in GIPR-QPCTL (P value = 2.64 × 10−9) and rs9368219 in the CDKAL1 (P value = 3.15 × 10−9) showing the strongest association with beta-cell glucose sensitivity. These loci surpassed genome-wide significance when the GWAS meta-analysis was repeated after exclusion of the diabetic subjects. After correction for multiple testing, glycemia-associated SNPs in or near the HHEX and IGF2B2 loci were also associated with beta-cell glucose sensitivity. Conclusion: We show that, variation at the GIPR-QPCTL and CDKAL1 loci are key determinants of pancreatic beta-cell glucose sensitivity

Published
2020

35. Genome-Wide Association Analysis of Pancreatic Beta-Cell Glucose Sensitivity

Author

Deshmukh, Harshal A, primary, Madsen, Anne Lundager, additional, Viñuela, Ana, additional, Have, Christian Theil, additional, Grarup, Niels, additional, Tura, Andrea, additional, Mahajan, Anubha, additional, Heggie, Alison J, additional, Koivula, Robert W, additional, De Masi, Federico, additional, Tsirigos, Konstantinos K, additional, Linneberg, Allan, additional, Drivsholm, Thomas, additional, Pedersen, Oluf, additional, Sørensen, Thorkild I A, additional, Astrup, Arne, additional, Gjesing, Anette A P, additional, Pavo, Imre, additional, Wood, Andrew R, additional, Ruetten, Hartmut, additional, Jones, Angus G, additional, Koopman, Anitra D M, additional, Cederberg, Henna, additional, Rutters, Femke, additional, Ridderstrale, Martin, additional, Laakso, Markku, additional, McCarthy, Mark I, additional, Frayling, Tim M, additional, Ferrannini, Ele, additional, Franks, Paul W, additional, Pearson, Ewan R, additional, Mari, Andrea, additional, Hansen, Torben, additional, and Walker, Mark, additional

Published
2020
Full Text
View/download PDF

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

Author

Atabaki-Pasdar, Naeimeh, primary, Ohlsson, Mattias, additional, Viñuela, Ana, additional, Frau, Francesca, additional, Pomares-Millan, Hugo, additional, Haid, Mark, additional, Jones, Angus G., additional, Thomas, E. Louise, additional, Koivula, Robert W., additional, Kurbasic, Azra, additional, Mutie, Pascal M., additional, Fitipaldi, Hugo, additional, Fernandez, Juan, additional, Dawed, Adem Y., additional, Giordano, Giuseppe N., additional, Forgie, Ian M., additional, McDonald, Timothy J., additional, Rutters, Femke, additional, Cederberg, Henna, additional, Chabanova, Elizaveta, additional, Dale, Matilda, additional, Masi, Federico De, additional, Thomas, Cecilia Engel, additional, Allin, Kristine H., additional, Hansen, Tue H., additional, Heggie, Alison, additional, Hong, Mun-Gwan, additional, Elders, Petra J. M., additional, Kennedy, Gwen, additional, Kokkola, Tarja, additional, Pedersen, Helle Krogh, additional, Mahajan, Anubha, additional, McEvoy, Donna, additional, Pattou, Francois, additional, Raverdy, Violeta, additional, Häussler, Ragna S., additional, Sharma, Sapna, additional, Thomsen, Henrik S., additional, Vangipurapu, Jagadish, additional, Vestergaard, Henrik, additional, ‘t Hart, Leen M., additional, Adamski, Jerzy, additional, Musholt, Petra B., additional, Brage, Soren, additional, Brunak, Søren, additional, Dermitzakis, Emmanouil, additional, Frost, Gary, additional, Hansen, Torben, additional, Laakso, Markku, additional, Pedersen, Oluf, additional, Ridderstråle, Martin, additional, Ruetten, Hartmut, additional, Hattersley, Andrew T., additional, Walker, Mark, additional, Beulens, Joline W. J., additional, Mari, Andrea, additional, Schwenk, Jochen M., additional, Gupta, Ramneek, additional, McCarthy, Mark I., additional, Pearson, Ewan R., additional, Bell, Jimmy D., additional, Pavo, Imre, additional, and Franks, Paul W., additional

Published
2020
Full Text
View/download PDF

37. Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study

Author

Atabaki-Pasdar, Naeimeh, primary, Ohlsson, Mattias, additional, Viñuela, Ana, additional, Frau, Francesca, additional, Pomares-Millan, Hugo, additional, Haid, Mark, additional, Jones, Angus G, additional, Thomas, E Louise, additional, Koivula, Robert W, additional, Kurbasic, Azra, additional, Mutie, Pascal M, additional, Fitipaldi, Hugo, additional, Fernandez, Juan, additional, Dawed, Adem Y, additional, Giordano, Giuseppe N, additional, Forgie, Ian M, additional, McDonald, Timothy J, additional, Rutters, Femke, additional, Cederberg, Henna, additional, Chabanova, Elizaveta, additional, Dale, Matilda, additional, De Masi, Federico, additional, Thomas, Cecilia Engel, additional, Allin, Kristine H, additional, Hansen, Tue H, additional, Heggie, Alison, additional, Hong, Mun-Gwan, additional, Elders, Petra JM, additional, Kennedy, Gwen, additional, Kokkola, Tarja, additional, Pedersen, Helle Krogh, additional, Mahajan, Anubha, additional, McEvoy, Donna, additional, Pattou, Francois, additional, Raverdy, Violeta, additional, Häussler, Ragna S, additional, Sharma, Sapna, additional, Thomsen, Henrik S, additional, Vangipurapu, Jagadish, additional, Vestergaard, Henrik, additional, ‘t Hart, Leen M, additional, Adamski, Jerzy, additional, Musholt, Petra B, additional, Brage, Soren, additional, Brunak, Søren, additional, Dermitzakis, Emmanouil, additional, Frost, Gary, additional, Hansen, Torben, additional, Laakso, Markku, additional, Pedersen, Oluf, additional, Ridderstråle, Martin, additional, Ruetten, Hartmut, additional, Hattersley, Andrew T, additional, Walker, Mark, additional, Beulens, Joline WJ, additional, Mari, Andrea, additional, Schwenk, Jochen M, additional, Gupta, Ramneek, additional, McCarthy, Mark I, additional, Pearson, Ewan R, additional, Bell, Jimmy D, additional, Pavo, Imre, additional, and Franks, Paul W, additional

Published
2020
Full Text
View/download PDF

40. Erratum:Large meta-analysis of genome-wide association studies identifies five loci for lean body mass (Nature Communications (2017) 8:80 DOI: 10.1038/s41467-017-00031-7)

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie A M, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline S L, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N, Maixner, William, McGuigan, Fiona E, Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D, Morris, Andrew P, Mosekilde, Leif, Newman, Anne, Nielson, Carrie M, O'Connell, Jeffrey R, Oostra, Ben A, Orwoll, Eric S, Palotie, Aarno, Parker, Stephen C J, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L, Räikkönen, Katri, Ralston, Stuart H, Ripatti, Samuli, Robbins, John A, Rotter, Jerome I, Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E, Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A, Styrkarsdottir, Unnur, Swart, Karin M A, Tan, Sian-Tsung, Tarnopolsky, Mark A, Thompson, Patricia, Thomson, Cynthia A, Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J, Tuomilehto, Jaakko, van Schoor, Natasja M, Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N, Welch, Ryan, Wichmann, H-Erich, Widen, Elisabeth, Williams, Frances M K, Wilson, James F, Wright, Nicole C, Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C, Döring, Angela, van Duijn, Cornelia M, Econs, Michael J, Gudnason, Vilmundur, Kooner, Jaspal S, Psaty, Bruce M, Spector, Timothy D, Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G, Wareham, Nicholas J, Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J F, Karasik, David, Harris, Tamara B, Ohlsson, Claes, and Kiel, Douglas P

Subjects
Published Erratum
Abstract

The previously published version of this Article contained typographical errors in the spelling of the author names Stephen C. J. Parker and H.-Erich Wichmann, which were incorrectly given as Stephan Parker and H.-Erich Wichman, respectively. Furthermore, Affiliation 53 was incorrectly given as 'Research Group on Geriatrics, The Berlin Aging Study II, ChariteUniversitätsmedizin Berlin, Berlin 13353, Germany', Affiliation 66 was incorrectly given as 'Department of Botany & Plant Sciences, Institute for Integrative Genome Biology, University of California, Riverside, CA 92521, USA', and Affiliation 152 was incorrectly given as 'Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA'. These errors have been corrected in the PDF and HTML versions of the Article.

Published
2017
Full Text
View/download PDF

41. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass (vol 8, 80, 2017)

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltan, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Zhao, Jing Hua, Zhang, Weihua, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Ines, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Obanda, Natalia Campos, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Choi, Hyung Jin, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpelanen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Osten, Lorentzon, Mattias, Luben, Robert N, Maixner, William, McGuigan, Fiona E, Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Hakan, Mellstrom, Dan, Melov, Simon, Michaelsson, Karl, Mitchell, Braxton D, Morris, Andrew P, Mosekilde, Leif, Newman, Anne, Nielson, Carrie M, O'Connell, Jeffrey R, Oostra, Ben A, Orwoll, Eric S, Palotie, Aarno, Parker, Stephen CJ, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L, Raikkonen, Katri, Ralston, Stuart H, Ripatti, Samuli, Robbins, John A, Rotter, Jerome I, Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E, Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Shin, Chan Soo, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stancakova, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A, Styrkarsdottir, Unnur, Swart, Karin MA, Tan, Sian-Tsung, Tarnopolsky, Mark A, Thompson, Patricia, Thomson, Cynthia A, Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J, Tuomilehto, Jaakko, van Schoor, Natasja M, Verma, Arjun, Vollenweider, Peter, Volzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N, Welch, Ryan, Wichmann, H-Erich, Widen, Elisabeth, Williams, Frances MK, Wilson, James F, Wright, Nicole C, Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C, Doring, Angela, van Duijn, Cornelia M, Econs, Michael J, Gudnason, Vilmundur, Kooner, Jaspal S, Psaty, Bruce M, Spector, Timothy D, Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, Andre G, Wareham, Nicholas J, Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth JF, Karasik, David, Harris, Tamara B, Ohlsson, Claes, and Kiel, Douglas P

Published
2017
Full Text
View/download PDF

43. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Author

Zillikens, M. Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M., Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltyn, Luan, Jian'an, Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Zhao, Jing Hua, Zhang, Weihua, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Ines, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Obanda, Natalia Campos, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Choi, Hyung Jin, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A. M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpainen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S. L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong-Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellstrom, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raikkonen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Shin, Chan Soo, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stancakova, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M. A., Tan, Sian-Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Voelzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H. -Erich, Widen, Elisabeth, Williams, Frances M. K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Doring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, Andre G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J. F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P., Zillikens, M. Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M., Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltyn, Luan, Jian'an, Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Zhao, Jing Hua, Zhang, Weihua, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Ines, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Obanda, Natalia Campos, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Choi, Hyung Jin, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A. M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpainen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S. L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong-Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellstrom, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raikkonen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Shin, Chan Soo, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stancakova, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M. A., Tan, Sian-Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Voelzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H. -Erich, Widen, Elisabeth, Williams, Frances M. K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Doring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, Andre G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J. F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, and Kiel, Douglas P.

Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 x 10(-8)) or suggestively genome wide (p < 2.3 x 10(-6)). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/ near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/ near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass., Correction in: Nature Communications, Vol. 8, issue 1, artikel-id 1414DOI: 10.1038/s41467-017-01008-2

Published
2017
Full Text
View/download PDF

44. Predicting glycated hemoglobin levels in the non-diabetic general population : development and validation of the DIRECT-DETECT prediction model - a DIRECT study

Author

Rauh, Simone P, Heymans, Martijn W, Koopman, Anitra D M, Nijpels, Giel, Stehouwer, Coen D, Thorand, Barbara, Rathmann, Wolfgang, Meisinger, Christa, Peters, Annette, de Las Heras Gala, Tonia, Glümer, Charlotte, Pedersen, Oluf, Cederberg, Henna, Kuusisto, Johanna, Laakso, Markku, Pearson, Ewan R, Franks, Paul W, Rutters, Femke, Dekker, Jacqueline M, Rauh, Simone P, Heymans, Martijn W, Koopman, Anitra D M, Nijpels, Giel, Stehouwer, Coen D, Thorand, Barbara, Rathmann, Wolfgang, Meisinger, Christa, Peters, Annette, de Las Heras Gala, Tonia, Glümer, Charlotte, Pedersen, Oluf, Cederberg, Henna, Kuusisto, Johanna, Laakso, Markku, Pearson, Ewan R, Franks, Paul W, Rutters, Femke, and Dekker, Jacqueline M

Abstract

AIMS/HYPOTHESIS: To develop a prediction model that can predict HbA1c levels after six years in the non-diabetic general population, including previously used readily available predictors. METHODS: Data from 5,762 initially non-diabetic subjects from three population-based cohorts (Hoorn Study, Inter99, KORA S4/F4) were combined to predict HbA1c levels at six year follow-up. Using backward selection, age, BMI, waist circumference, use of anti-hypertensive medication, current smoking and parental history of diabetes remained in sex-specific linear regression models. To minimize overfitting of coefficients, we performed internal validation using bootstrapping techniques. Explained variance, discrimination and calibration were assessed using R2, classification tables (comparing highest/lowest 50% HbA1c levels) and calibration graphs. The model was externally validated in 2,765 non-diabetic subjects of the population-based cohort METSIM. RESULTS: At baseline, mean HbA1c level was 5.6% (38 mmol/mol). After a mean follow-up of six years, mean HbA1c level was 5.7% (39 mmol/mol). Calibration graphs showed that predicted HbA1c levels were somewhat underestimated in the Inter99 cohort and overestimated in the Hoorn and KORA cohorts, indicating that the model's intercept should be adjusted for each cohort to improve predictions. Sensitivity and specificity (95% CI) were 55.7% (53.9, 57.5) and 56.9% (55.1, 58.7) respectively, for women, and 54.6% (52.7, 56.5) and 54.3% (52.4, 56.2) for men. External validation showed similar performance in the METSIM cohort. CONCLUSIONS/INTERPRETATION: In the non-diabetic population, our DIRECT-DETECT prediction model, including readily available predictors, has a relatively low explained variance and moderate discriminative performance, but can help to distinguish between future highest and lowest HbA1c levels. Absolute HbA1c values are cohort-dependent.

Published
2017
Full Text
View/download PDF

45. Predicting glycated hemoglobin levels in the non-diabetic general population:Development and validation of the DIRECT-DETECT prediction model - a DIRECT study

Author

Rauh, Simone P, Heymans, Martijn W, Koopman, Anitra D M, Nijpels, Giel, Stehouwer, Coen D, Thorand, Barbara, Rathmann, Wolfgang, Meisinger, Christa, Peters, Annette, de Las Heras Gala, Tonia, Glümer, C, Pedersen, Oluf, Cederberg, Henna, Kuusisto, Johanna, Laakso, Markku, Pearson, Ewan R, Franks, Paul W, Rutters, Femke, Dekker, Jacqueline M, Rauh, Simone P, Heymans, Martijn W, Koopman, Anitra D M, Nijpels, Giel, Stehouwer, Coen D, Thorand, Barbara, Rathmann, Wolfgang, Meisinger, Christa, Peters, Annette, de Las Heras Gala, Tonia, Glümer, C, Pedersen, Oluf, Cederberg, Henna, Kuusisto, Johanna, Laakso, Markku, Pearson, Ewan R, Franks, Paul W, Rutters, Femke, and Dekker, Jacqueline M

Abstract

AIMS/HYPOTHESIS: To develop a prediction model that can predict HbA1c levels after six years in the non-diabetic general population, including previously used readily available predictors.METHODS: Data from 5,762 initially non-diabetic subjects from three population-based cohorts (Hoorn Study, Inter99, KORA S4/F4) were combined to predict HbA1c levels at six year follow-up. Using backward selection, age, BMI, waist circumference, use of anti-hypertensive medication, current smoking and parental history of diabetes remained in sex-specific linear regression models. To minimize overfitting of coefficients, we performed internal validation using bootstrapping techniques. Explained variance, discrimination and calibration were assessed using R2, classification tables (comparing highest/lowest 50% HbA1c levels) and calibration graphs. The model was externally validated in 2,765 non-diabetic subjects of the population-based cohort METSIM.RESULTS: At baseline, mean HbA1c level was 5.6% (38 mmol/mol). After a mean follow-up of six years, mean HbA1c level was 5.7% (39 mmol/mol). Calibration graphs showed that predicted HbA1c levels were somewhat underestimated in the Inter99 cohort and overestimated in the Hoorn and KORA cohorts, indicating that the model's intercept should be adjusted for each cohort to improve predictions. Sensitivity and specificity (95% CI) were 55.7% (53.9, 57.5) and 56.9% (55.1, 58.7) respectively, for women, and 54.6% (52.7, 56.5) and 54.3% (52.4, 56.2) for men. External validation showed similar performance in the METSIM cohort.CONCLUSIONS/INTERPRETATION: In the non-diabetic population, our DIRECT-DETECT prediction model, including readily available predictors, has a relatively low explained variance and moderate discriminative performance, but can help to distinguish between future highest and lowest HbA1c levels. Absolute HbA1c values are cohort-dependent.

Published
2017

46. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Author

Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J.A., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., DIatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpelaïnen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia M., Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raïkkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, Van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn M., Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P., Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J.A., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., DIatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpelaïnen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia M., Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephan, Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Raïkkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichman, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, Van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn M., Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, and Kiel, Douglas P.

Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10-8) or suggestively genome wide (p < 2.3 × 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.

Published
2017

47. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Author

Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpeläinen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephen C.J., Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Räikkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichmann, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, Kiel, Douglas P., Zillikens, M.C., Demissie, Serkalem, Hsu, Yi Hsiang, Yerges-Armstrong, Laura M., Chou, Wen Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L., Kutalik, Zoltán, Luan, J., Malkin, Ida, Ried, Janina S., Smith, Albert V., Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J., Barroso, Inês, Bennett, David A., Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B., Buchman, Aron S., Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A., Cawthon, Peggy M., Cederberg, Henna, Chen, Zhao, Cho, Nam H., Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R., De Jager, Philip L., Demuth, Ilja, Dhonukshe-Rutten, Rosalie A.M., Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W., Erdos, Mike, Eriksson, Johan G., Eriksson, Joel, Estrada, Karol, Evans, Daniel S., Feitosa, Mary F., Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L., Grallert, Harald, Grewal, Jagvir, Han, Bok Ghee, Hanson, Robert L., Hayward, Caroline, Hofman, Albert, Hoffman, Eric P., Homuth, Georg, Hsueh, Wen Chi, Hubal, Monica J., Hubbard, Alan, Huffman, Kim M., Husted, Lise B., Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John Olov, Jordan, Joanne M., Jula, Antti, Karlsson, Magnus, Khaw, Kay Tee, Kilpeläinen, Tuomas O., Klopp, Norman, Kloth, Jacqueline S.L., Koistinen, Heikki A., Kraus, William E., Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L., Launer, Lenore J., Lee, Jong Young, Lerch, Markus M., Lewis, Joshua R., Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Liu, Tian, Liu, Youfang, Ljunggren, Östen, Lorentzon, Mattias, Luben, Robert N., Maixner, William, McGuigan, Fiona E., Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Melov, Simon, Michaëlsson, Karl, Mitchell, Braxton D., Morris, Andrew P., Mosekilde, Leif, Newman, Anne, Nielson, Carrie M., O'Connell, Jeffrey R., Oostra, Ben A., Orwoll, Eric S., Palotie, Aarno, Parker, Stephen C.J., Peacock, Munro, Perola, Markus, Peters, Annette, Polasek, Ozren, Prince, Richard L., Räikkönen, Katri, Ralston, Stuart H., Ripatti, Samuli, Robbins, John A., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Satterfield, Suzanne, Schadt, Eric E., Schipf, Sabine, Scott, Laura, Sehmi, Joban, Shen, Jian, Soo Shin, Chan, Sigurdsson, Gunnar, Smith, Shad, Soranzo, Nicole, Stančáková, Alena, Steinhagen-Thiessen, Elisabeth, Streeten, Elizabeth A., Styrkarsdottir, Unnur, Swart, Karin M.A., Tan, Sian Tsung, Tarnopolsky, Mark A., Thompson, Patricia, Thomson, Cynthia A., Thorsteinsdottir, Unnur, Tikkanen, Emmi, Tranah, Gregory J., Tuomilehto, Jaakko, van Schoor, Natasja M., Verma, Arjun, Vollenweider, Peter, Völzke, Henry, Wactawski-Wende, Jean, Walker, Mark, Weedon, Michael N., Welch, Ryan, Wichmann, H.E., Widen, Elisabeth, Williams, Frances M.K., Wilson, James F., Wright, Nicole C., Xie, Weijia, Yu, Lei, Zhou, Yanhua, Chambers, John C., Döring, Angela, van Duijn, Cornelia M., Econs, Michael J., Gudnason, Vilmundur, Kooner, Jaspal S., Psaty, Bruce M., Spector, Timothy D., Stefansson, Kari, Rivadeneira, Fernando, Uitterlinden, André G., Wareham, Nicholas J., Ossowski, Vicky, Waterworth, Dawn, Loos, Ruth J.F., Karasik, David, Harris, Tamara B., Ohlsson, Claes, and Kiel, Douglas P.

Abstract

A correction to this article has been published and is linked from the HTML version of this article.

Published
2017

48. Predicting glycated hemoglobin levels in the non-diabetic general population: Development and validation of the DIRECT-DETECT prediction model - a DIRECT study

Author

Rauh, Simone P., primary, Heymans, Martijn W., additional, Koopman, Anitra D. M., additional, Nijpels, Giel, additional, Stehouwer, Coen D., additional, Thorand, Barbara, additional, Rathmann, Wolfgang, additional, Meisinger, Christa, additional, Peters, Annette, additional, de las Heras Gala, Tonia, additional, Glümer, Charlotte, additional, Pedersen, Oluf, additional, Cederberg, Henna, additional, Kuusisto, Johanna, additional, Laakso, Markku, additional, Pearson, Ewan R., additional, Franks, Paul W., additional, Rutters, Femke, additional, and Dekker, Jacqueline M., additional

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results