258 results on '"Hansen, Torben"'
Search Results
2. The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study
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Eriksen, Rebeca, White, Margaret C, Dawed, Adem Y, Perez, Isabel Garcia, Posma, Joram M, Haid, Mark, Sharma, Sapna, Prehn, Cornelia, Thomas, E Louise, Koivula, Robert W, Bizzotto, Roberto, Mari, Andrea, Giordano, Giuseppe N, Pavo, Imre, Schwenk, Jochen M, De Masi, Federico, Tsirigos, Konstantinos D, Brunak, Søren, Viñuela, Ana, Mahajan, Anubha, McDonald, Timothy J, Kokkola, Tarja, Rutters, Femke, Beulens, Joline, Muilwijk, Mirthe, Blom, Marieke, Elders, Petra, Hansen, Tue H, Fernandez-Tajes, Juan, Jones, Angus, Jennison, Chris, Walker, Mark, McCarthy, Mark I, Pedersen, Oluf, Ruetten, Hartmut, Forgie, Ian, Holst, Jens J, Thomsen, Henrik S, Ridderstråle, Martin, Bell, Jimmy D, Adamski, Jerzy, Franks, Paul W, Hansen, Torben, Holmes, Elaine, Frost, Gary, and Pearson, Ewan R
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- 2024
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3. Altered Glucagon and GLP-1 Responses to Oral Glucose in Children and Adolescents With Obesity and Insulin Resistance
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Stinson, Sara Elizabeth, Fernández de Retana Alzola, Ierai, Brünner Hovendal, Emilie Damgaard, Lund, Morten Asp Vonsild, Fonvig, Cilius Esmann, Holm, Louise Aas, Jonsson, Anna Elisabet, Frithioff-Bøjsøe, Christine, Christiansen, Michael, Pedersen, Oluf, Ängquist, Lars, Sørensen, Thorkild I A, Holst, Jens Juul, Hartmann, Bolette, Holm, Jens-Christian, and Hansen, Torben
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- 2024
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4. Temporal gut microbiota variability and association with dietary patterns: From the one-year observational Diet, Cancer, and Health - Next Generations MAX study
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Rostgaard-Hansen, Agnetha L, Esberg, Anders, Dicksved, Johan, Hansen, Torben, Pelve, Erik, Brunius, Carl, Halkjær, Jytte, Tjønneland, Anne, Johansson, Ingegerd, and Landberg, Rikard
- Abstract
Knowledge about the variability of gut microbiota within an individual over time is important to allow meaningful investigations of the gut microbiota in relation to diet and health outcomes in observational studies. Plant-based dietary patterns have been associated with a lower risk of morbidity and mortality and may alter gut microbiota in a favorable direction.
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- 2024
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5. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
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Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry J., Yin, Xianyong, Lorenz, Kim M., Mandla, Ravi, Huerta-Chagoya, Alicia, Melloni, Giorgio E. M., Kanoni, Stavroula, Rayner, Nigel W., Bocher, Ozvan, Arruda, Ana Luiza, Sonehara, Kyuto, Namba, Shinichi, Lee, Simon S. K., Preuss, Michael H., Petty, Lauren E., Schroeder, Philip, Vanderwerff, Brett, Kals, Mart, Bragg, Fiona, Lin, Kuang, Guo, Xiuqing, Zhang, Weihua, Yao, Jie, Kim, Young Jin, Graff, Mariaelisa, Takeuchi, Fumihiko, Nano, Jana, Lamri, Amel, Nakatochi, Masahiro, Moon, Sanghoon, Scott, Robert A., Cook, James P., Lee, Jung-Jin, Pan, Ian, Taliun, Daniel, Parra, Esteban J., Chai, Jin-Fang, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Thorleifsson, Gudmar, Grarup, Niels, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloé, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Kwak, Soo-Heon, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Nongmaithem, Suraj S., Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Brody, Jennifer A., Kabagambe, Edmond, An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Broadaway, K. Alaine, Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Thangam, Manonanthini, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Ahluwalia, Tarunveer S., Anand, Sonia S., Bertoni, Alain, Bork-Jensen, Jette, Brandslund, Ivan, Buchanan, Thomas A., Burant, Charles F., Butterworth, Adam S., Canouil, Mickaël, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Danesh, John, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Gordon-Larsen, Penny, Gross, Myron, Guare, Lindsay A., Hackinger, Sophie, Hakaste, Liisa, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Horikoshi, Momoko, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md. Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jørgensen, Torben, Kamanu, Frederick K., Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Kyung Min, Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian’an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lynch, Julie A., Lyssenko, Valeriya, Maeda, Shiro, Mamakou, Vasiliki, Mansuri, Sohail Rafik, Matsuda, Koichi, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mo, Huan, Morris, Andrew D., Moura, Filipe A., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Patil, Snehal, Pei, Pei, Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Polikowsky, Hannah G., Porneala, Bianca, Prasad, Gauri, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Katheryn, Sabanayagam, Charumathi, Sandow, Kevin, Sankareswaran, Alagu, Sattar, Naveed, Schönherr, Sebastian, Shahriar, Mohammad, Shen, Botong, Shi, Jinxiu, Shin, Dong Mun, Shojima, Nobuhiro, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Steinthorsdottir, Valgerdur, Stilp, Adrienne M., Strauch, Konstantin, Taylor, Kent D., Thorand, Barbara, Thorsteinsdottir, Unnur, Tomlinson, Brian, Tran, Tam C., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Wacher-Rodarte, Niels, Wheeler, Eleanor, Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamamoto, Kenichi, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zawistowski, Matthew, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Fornage, Myriam, Hanis, Craig L., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Yokota, Mitsuhiro, Kardia, Sharon L. R., Peyser, Patricia A., Pankow, James S., Engert, James C., Bonnefond, Amélie, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Mook-Kanamori, Dennis O., Tuomi, Tiinamaija, Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Paré, Guillaume, Sale, Michèle M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, Chen, Yii-Der Ida, Rich, Stephen S., McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Ghanbari, Mohsen, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Bowden, Donald W., Palmer, Colin N. A., Kooner, Jaspal S., Kooperberg, Charles, Liu, Simin, North, Kari E., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Wareham, Nicholas J., Lee, Juyoung, Kim, Bong-Jo, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Ahlqvist, Emma, Goodarzi, Mark O., Mohlke, Karen L., Langenberg, Claudia, Haiman, Christopher A., Loos, Ruth J. F., Florez, Jose C., Rader, Daniel J., Ritchie, Marylyn D., Zöllner, Sebastian, Mägi, Reedik, Marston, Nicholas A., Ruff, Christian T., van Heel, David A., Finer, Sarah, Denny, Joshua C., Yamauchi, Toshimasa, Kadowaki, Takashi, Chambers, John C., Ng, Maggie C. Y., Sim, Xueling, Below, Jennifer E., Tsao, Philip S., Chang, Kyong-Mi, McCarthy, Mark I., Meigs, James B., Mahajan, Anubha, Spracklen, Cassandra N., Mercader, Josep M., Boehnke, Michael, Rotter, Jerome I., Vujkovic, Marijana, Voight, Benjamin F., Morris, Andrew P., and Zeggini, Eleftheria
- Abstract
Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P< 5 × 10−8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.
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- 2024
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6. GWAS of lipids in Greenlanders finds association signals shared with Europeans and reveals an independent PCSK9association signal
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Senftleber, Ninna Karsbæk, Andersen, Mette K., Jørsboe, Emil, Stæger, Frederik Filip, Nøhr, Anne Krogh, Garcia-Erill, Genis, Meisner, Jonas, Santander, Cindy G., Balboa, Renzo F., Gilly, Arthur, Bjerregaard, Peter, Larsen, Christina Viskum Lytken, Grarup, Niels, Jørgensen, Marit Eika, Zeggini, Eleftheria, Moltke, Ida, Hansen, Torben, and Albrechtsen, Anders
- Abstract
Perturbation of lipid homoeostasis is a major risk factor for cardiovascular disease (CVD), the leading cause of death worldwide. We aimed to identify genetic variants affecting lipid levels, and thereby risk of CVD, in Greenlanders. Genome-wide association studies (GWAS) of six blood lipids, triglycerides, LDL-cholesterol, HDL-cholesterol, total cholesterol, as well as apolipoproteins A1 and B, were performed in up to 4473 Greenlanders. For genome-wide significant variants, we also tested for associations with additional traits, including CVD events. We identified 11 genome-wide significant loci associated with lipid traits. Most of these loci were already known in Europeans, however, we found a potential causal variant near PCSK9(rs12117661), which was independent of the known PCSK9loss-of-function variant (rs11491147). rs12117661 was associated with lower LDL-cholesterol (βSD(SE) = −0.22 (0.03), p= 6.5 × 10−12) and total cholesterol (−0.17 (0.03), p= 1.1 × 10−8) in the Greenlandic study population. Similar associations were observed in Europeans from the UK Biobank, where the variant was also associated with a lower risk of CVD outcomes. Moreover, rs12117661 was a top eQTL for PCSK9across tissues in European data from the GTEx portal, and was located in a predicted regulatory element, supporting a possible causal impact on PCSK9expression. Combined, the 11 GWAS signals explained up to 16.3% of the variance of the lipid traits. This suggests that the genetic architecture of lipid levels in Greenlanders is different from Europeans, with fewer variants explaining the variance.
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- 2024
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7. Pediatric Features of Genetic Predisposition to Polycystic Ovary Syndrome
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Zhu, Jia, Eliasen, Anders U, Aris, Izzuddin M, Stinson, Sara E, Holm, Jens-Christian, Hansen, Torben, Hivert, Marie-France, Bønnelykke, Klaus, Salem, Rany M, Hirschhorn, Joel N, and Chan, Yee-Ming
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- 2024
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8. Lipid profiling identifies modifiable signatures of cardiometabolic risk in children and adolescents with obesity
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Huang, Yun, Sulek, Karolina, Stinson, Sara E., Holm, Louise Aas, Kim, Min, Trost, Kajetan, Hooshmand, Kourosh, Lund, Morten Asp Vonsild, Fonvig, Cilius E., Juel, Helene Bæk, Nielsen, Trine, Ängquist, Lars, Rossing, Peter, Thiele, Maja, Krag, Aleksander, Holm, Jens-Christian, Legido-Quigley, Cristina, and Hansen, Torben
- Abstract
Pediatric obesity is a progressive, chronic disease that can lead to serious cardiometabolic complications. Here we investigated the peripheral lipidome in 958 children and adolescents with overweight or obesity and 373 with normal weight, in a cross-sectional study. We also implemented a family-based, personalized program to assess the effects of obesity management on 186 children and adolescents in a clinical setting. Using mass spectrometry-based lipidomics, we report an increase in ceramides, alongside a decrease in lysophospholipids and omega-3 fatty acids with obesity metabolism. Ceramides, phosphatidylethanolamines and phosphatidylinositols were associated with insulin resistance and cardiometabolic risk, whereas sphingomyelins showed inverse associations. Additionally, a panel of three lipids predicted hepatic steatosis as effectively as liver enzymes. Lipids partially mediated the association between obesity and cardiometabolic traits. The nonpharmacological management reduced levels of ceramides, phospholipids and triglycerides, indicating that lowering the degree of obesity could partially restore a healthy lipid profile in children and adolescents.
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- 2024
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9. Impact of acute alcohol consumption on circulating microbiome in asymptomatic alcohol-related liver disease
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Israelsen, Mads, Alvarez-Silva, Camila, Madsen, Bjørn Stæhr, Hansen, Camilla Dalby, Torp, Nikolaj Christian, Johansen, Stine, Hansen, Johanne Kragh, Prier Lindvig, Katrine, Insonere, Jeanlouis, Riviere, Virginie, Juel, Helene Bæk, Brejnrod, Asker, Jensen, Lars Juhl, Thiele, Maja, Lelouvier, Benjamin, Hansen, Torben, Arumugam, Manimozhiyan, and Krag, Aleksander
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- 2024
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10. Interaction of genetic risk and lifestyle on the incidence of atrial fibrillation
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Frederiksen, Tanja Charlotte, Christiansen, Morten Krogh, Benjamin, Emelia J, Overvad, Kim, Olsen, Anja, Andersen, Mette K, Hansen, Torben, Grarup, Niels, Jensen, Henrik Kjaerulf, and Dahm, Christina C
- Abstract
BackgroundThe relationship between combined genetic predisposition and lifestyle and the risk of incident atrial fibrillation (AF) is unclear. Therefore, we aimed to assess a possible interaction between lifestyle and genetics on AF risk.MethodsWe included AF cases and a randomly drawn subcohort of 4040 participants from the Danish Diet, Cancer and Health cohort. Lifestyle risk factors were assessed, a score was calculated, and participants were categorised as having a poor, intermediate, or ideal lifestyle. We calculated a genetic risk score comprising 142 variants, and categorised participants into low (quintile 1), intermediate (quintiles 2–4) or high (quintile 5) genetic risk of AF.Results3094 AF cases occurred during a median follow-up of 12.9 years. Regardless of genetic risk, incidence rates per 1000 person-years were gradually higher with worse lifestyle. For participants with high genetic risk, the incidence rates of AF per 1000 person-years were 5.0 (95% CI 3.4 to 7.3) among individuals with ideal lifestyle, 6.6 (95% CI 5.4 to 8.1) among those with intermediate lifestyle and 10.4 (95% CI 9.2 to 11.8) among participants with poor lifestyle. On an additive scale, there was a positive statistically significant interaction between genetic risk and lifestyle (relative excess risk due to interaction=0.86, 95% CI 0.68 to 1.03, p<0.001).ConclusionsThe rates of AF increased gradually with worse lifestyle within each category of genetic risk. We found a positive interaction on an additive scale between genetic risk and lifestyle, suggesting that risk factor modification is especially important in individuals with a high genetic risk of AF.
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- 2024
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11. Rare Heterozygous Loss-of-Function Variants in the Human GLP-1 Receptor Are Not Associated With Cardiometabolic Phenotypes
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Melchiorsen, Josefine U, Sørensen, Kimmie V, Bork-Jensen, Jette, Kizilkaya, Hüsün S, Gasbjerg, Lærke S, Hauser, Alexander S, Rungby, Jørgen, Sørensen, Henrik T, Vaag, Allan, Nielsen, Jens S, Pedersen, Oluf, Linneberg, Allan, Hartmann, Bolette, Gjesing, Anette P, Holst, Jens J, Hansen, Torben, Rosenkilde, Mette M, and Grarup, Niels
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- 2023
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12. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine
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Tobias, Deirdre K., Merino, Jordi, Ahmad, Abrar, Aiken, Catherine, Benham, Jamie L., Bodhini, Dhanasekaran, Clark, Amy L., Colclough, Kevin, Corcoy, Rosa, Cromer, Sara J., Duan, Daisy, Felton, Jamie L., Francis, Ellen C., Gillard, Pieter, Gingras, Véronique, Gaillard, Romy, Haider, Eram, Hughes, Alice, Ikle, Jennifer M., Jacobsen, Laura M., Kahkoska, Anna R., Kettunen, Jarno L. T., Kreienkamp, Raymond J., Lim, Lee-Ling, Männistö, Jonna M. E., Massey, Robert, Mclennan, Niamh-Maire, Miller, Rachel G., Morieri, Mario Luca, Most, Jasper, Naylor, Rochelle N., Ozkan, Bige, Patel, Kashyap Amratlal, Pilla, Scott J., Prystupa, Katsiaryna, Raghavan, Sridharan, Rooney, Mary R., Schön, Martin, Semnani-Azad, Zhila, Sevilla-Gonzalez, Magdalena, Svalastoga, Pernille, Takele, Wubet Worku, Tam, Claudia Ha-ting, Thuesen, Anne Cathrine B., Tosur, Mustafa, Wallace, Amelia S., Wang, Caroline C., Wong, Jessie J., Yamamoto, Jennifer M., Young, Katherine, Amouyal, Chloé, Andersen, Mette K., Bonham, Maxine P., Chen, Mingling, Cheng, Feifei, Chikowore, Tinashe, Chivers, Sian C., Clemmensen, Christoffer, Dabelea, Dana, Dawed, Adem Y., Deutsch, Aaron J., Dickens, Laura T., DiMeglio, Linda A., Dudenhöffer-Pfeifer, Monika, Evans-Molina, Carmella, Fernández-Balsells, María Mercè, Fitipaldi, Hugo, Fitzpatrick, Stephanie L., Gitelman, Stephen E., Goodarzi, Mark O., Grieger, Jessica A., Guasch-Ferré, Marta, Habibi, Nahal, Hansen, Torben, Huang, Chuiguo, Harris-Kawano, Arianna, Ismail, Heba M., Hoag, Benjamin, Johnson, Randi K., Jones, Angus G., Koivula, Robert W., Leong, Aaron, Leung, Gloria K. W., Libman, Ingrid M., Liu, Kai, Long, S. Alice, Lowe, William L., Morton, Robert W., Motala, Ayesha A., Onengut-Gumuscu, Suna, Pankow, James S., Pathirana, Maleesa, Pazmino, Sofia, Perez, Dianna, Petrie, John R., Powe, Camille E., Quinteros, Alejandra, Jain, Rashmi, Ray, Debashree, Ried-Larsen, Mathias, Saeed, Zeb, Santhakumar, Vanessa, Kanbour, Sarah, Sarkar, Sudipa, Monaco, Gabriela S. F., Scholtens, Denise M., Selvin, Elizabeth, Sheu, Wayne Huey-Herng, Speake, Cate, Stanislawski, Maggie A., Steenackers, Nele, Steck, Andrea K., Stefan, Norbert, Støy, Julie, Taylor, Rachael, Tye, Sok Cin, Ukke, Gebresilasea Gendisha, Urazbayeva, Marzhan, Van der Schueren, Bart, Vatier, Camille, Wentworth, John M., Hannah, Wesley, White, Sara L., Yu, Gechang, Zhang, Yingchai, Zhou, Shao J., Beltrand, Jacques, Polak, Michel, Aukrust, Ingvild, de Franco, Elisa, Flanagan, Sarah E., Maloney, Kristin A., McGovern, Andrew, Molnes, Janne, Nakabuye, Mariam, Njølstad, Pål Rasmus, Pomares-Millan, Hugo, Provenzano, Michele, Saint-Martin, Cécile, Zhang, Cuilin, Zhu, Yeyi, Auh, Sungyoung, de Souza, Russell, Fawcett, Andrea J., Gruber, Chandra, Mekonnen, Eskedar Getie, Mixter, Emily, Sherifali, Diana, Eckel, Robert H., Nolan, John J., Philipson, Louis H., Brown, Rebecca J., Billings, Liana K., Boyle, Kristen, Costacou, Tina, Dennis, John M., Florez, Jose C., Gloyn, Anna L., Gomez, Maria F., Gottlieb, Peter A., Greeley, Siri Atma W., Griffin, Kurt, Hattersley, Andrew T., Hirsch, Irl B., Hivert, Marie-France, Hood, Korey K., Josefson, Jami L., Kwak, Soo Heon, Laffel, Lori M., Lim, Siew S., Loos, Ruth J. F., Ma, Ronald C. W., Mathieu, Chantal, Mathioudakis, Nestoras, Meigs, James B., Misra, Shivani, Mohan, Viswanathan, Murphy, Rinki, Oram, Richard, Owen, Katharine R., Ozanne, Susan E., Pearson, Ewan R., Perng, Wei, Pollin, Toni I., Pop-Busui, Rodica, Pratley, Richard E., Redman, Leanne M., Redondo, Maria J., Reynolds, Rebecca M., Semple, Robert K., Sherr, Jennifer L., Sims, Emily K., Sweeting, Arianne, Tuomi, Tiinamaija, Udler, Miriam S., Vesco, Kimberly K., Vilsbøll, Tina, Wagner, Robert, Rich, Stephen S., and Franks, Paul W.
- Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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- 2023
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13. Microbially Produced Imidazole Propionate Is Associated With Heart Failure and Mortality
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Molinaro, Antonio, Nemet, Ina, Bel Lassen, Pierre, Chakaroun, Rima, Nielsen, Trine, Aron-Wisnewsky, Judith, Bergh, Per-Olof, Li, Lin, Henricsson, Marcus, Køber, Lars, Isnard, Richard, Helft, Gerard, Stumvoll, Michael, Pedersen, Oluf, Smith, J. Gustav, Tang, W.H. Wilson, Clément, Karine, Hazen, Stanley L., Bäckhed, Fredrik, Alves, Renato, Amouyal, Chloe, Andersson Galijatovic, Ehm Astrid, Andreelli, Fabrizio, Barthelemy, Olivier, Bastard, Jean-Philippe, Batisse, Jean-Paul, Berland, Magalie, Bittar, Randa, Blüher, Matthias, Bork, Peer, Bourron, Olivier, Camus, Mickael, Cassuto, Dominique, Ciangura, Cecile, Coelho, Luis Pedro, Collet, Jean-Philippe, Dumas, Marc-Emmanuel, Ehrlich, S. Dusko, Engelbrechtsen, Line, Fezeu, Leopold, Forslund, Sofia, Fromentin, Sebastien, Galan, Pilar, Giral, Philippe, Gøtze, Jens Peter, Hansen, Torben, Hansen, Tue H., Hartemann, Agnes, Hartmann, Bolette, Hercberg, Serge, Holmes, Bridget, Holst, Jens Juul, Hornbak, Malene, Hoyles, Lesley, Hulot, Jean-Sebastien, Jaqueminet, Sophie, Kerneis, Mathieu, Khemis, Jean, Kozlowski, Ruby, Pedersen, Helle Krogh, Kuhn, Michael, Mannerås-Holm, Louise, Marko, Lajos, Martinez-Gili Robin Massey, Laura, Maziers, Nicolas, Medina-Stamminger, Jonathan, Moitinho-Silva, Lucas, Montalescot, Gilles, Moutel, Sandrine, Neves, Ana Luisa, Olanipekun, Michael, Oppert, Jean-Michel, Poitou, Christine, Pousset, Francoise, Pouzoulet, Laurence, Rouault, Christine, Silvain, Johanne, and Vestergaard, Henrik
- Abstract
Over the past years, it has become clear that the microbial ecosystem in the gut has a profound capacity to interact with the host through the production of a wide range of bioactive metabolites. The microbially produced metabolite imidazole propionate (ImP) is clinically and mechanistically linked with insulin resistance and type 2 diabetes, but it is unclear how ImP is associated with heart failure.
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- 2023
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14. Alteration of Gut Microbiome in Patients With Schizophrenia Indicates Links Between Bacterial Tyrosine Biosynthesis and Cognitive Dysfunction
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Thirion, Florence, Speyer, Helene, Hansen, Tue Haldor, Nielsen, Trine, Fan, Yong, Le Chatelier, Emmanuelle, Fromentin, Sébastien, Berland, Magali, Plaza Oñate, Florian, Pons, Nicolas, Galleron, Nathalie, Levenez, Florence, Markó, Lajos, Birkner, Till, Jørgensen, Torben, Forslund, Sofia K., Vestergaard, Henrik, Hansen, Torben, Nordentoft, Merete, Mors, Ole, Benros, Michael E., Pedersen, Oluf, and Ehrlich, Stanislav D.
- Abstract
Schizophrenia (SCZ) is a heterogeneous neuropsychiatric disorder for which current treatment has insufficient efficacy and severe adverse effects. The modifiable gut microbiome might be a potential target for intervention to improve neurobiological functions through the gut-microbiome-brain axis.
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- 2023
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15. KCNQ1 long QT syndrome patients have hyperinsulinemia and symptomatic hypoglycemia
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Torekov, Signe S., Iepsen, Eva, Christiansen, Michael, Linneberg, Allan, Pedersen, Oluf, Holst, Jens J., Ranters, Jorgen K., and Hansen, Torben
- Subjects
Long QT syndrome -- Research -- Genetic aspects -- Patient outcomes ,Health - Abstract
Patients with loss-of-function mutations in KCNQ1 have KCNQ1 long QT syndrome (LQTS). KCNQ1 encodes a voltage-gated [K.sup.+] channel located in both cardiomyocytes and pancreatic β-cells. Inhibition of KCNQ1 in β-cells increases insulin secretion. Therefore KCNQ1 LQTS patients may exhibit increased insulin secretion. Fourteen patients, from six families, diagnosed with KCNQ1 LQTS were individually matched to two randomly chosen BMI-, age-, and sex-matched control participants and underwent an oral glucose tolerance test (OGTT), a hypoglycemia questionnaire, and continuous glucose monitoring. KCNQ1 mutation carriers showed increased insulin release (area under the curve 45.6 ± 6.3 vs. 26.0 ± 2.8 min x nmol/L insulin) and β-cell glucose sensitivity and had lower levels of plasma glucose and serum potassium upon oral glucose stimulation and increased hypoglycemic symptoms. Prolonged OGTT in four available patients and matched control subjects revealed hypoglycemia in carriers after 210 min (range 1.4-3.6 vs. 4.1-5.3 mmol/L glucose), and 24-h glucose profiles showed that the patients spent 77 ± 18 min per 24 h in hypoglycemic states ( Diabetes 2014:63:1315-1325 | DOI: 10.2337/db13-1454, The blood glucose level increases after a meal intake, leading to formation of ATP in the β-cell, closure of the ATP-dependent potassium channel, and thereby a reduction of the ATP-sensitive [...]
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- 2014
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16. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake
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Williamson, Alice, Norris, Dougall M., Yin, Xianyong, Broadaway, K. Alaine, Moxley, Anne H., Vadlamudi, Swarooparani, Wilson, Emma P., Jackson, Anne U., Ahuja, Vasudha, Andersen, Mette K., Arzumanyan, Zorayr, Bonnycastle, Lori L., Bornstein, Stefan R., Bretschneider, Maxi P., Buchanan, Thomas A., Chang, Yi-Cheng, Chuang, Lee-Ming, Chung, Ren-Hua, Clausen, Tine D., Damm, Peter, Delgado, Graciela E., de Mello, Vanessa D., Dupuis, Josée, Dwivedi, Om P., Erdos, Michael R., Silva, Lilian Fernandes, Frayling, Timothy M., Gieger, Christian, Goodarzi, Mark O., Guo, Xiuqing, Gustafsson, Stefan, Hakaste, Liisa, Hammar, Ulf, Hatem, Gad, Herrmann, Sandra, Højlund, Kurt, Horn, Katrin, Hsueh, Willa A., Hung, Yi-Jen, Hwu, Chii-Min, Jonsson, Anna, Kårhus, Line L., Kleber, Marcus E., Kovacs, Peter, Lakka, Timo A., Lauzon, Marie, Lee, I-Te, Lindgren, Cecilia M., Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Luan, Jian’an, Aly, Dina Mansour, Mathiesen, Elisabeth, Moissl, Angela P., Morris, Andrew P., Narisu, Narisu, Perakakis, Nikolaos, Peters, Annette, Prasad, Rashmi B., Rodionov, Roman N., Roll, Kathryn, Rundsten, Carsten F., Sarnowski, Chloé, Savonen, Kai, Scholz, Markus, Sharma, Sapna, Stinson, Sara E., Suleman, Sufyan, Tan, Jingyi, Taylor, Kent D., Uusitupa, Matti, Vistisen, Dorte, Witte, Daniel R., Walther, Romy, Wu, Peitao, Xiang, Anny H., Zethelius, Björn, Ahlqvist, Emma, Bergman, Richard N., Chen, Yii-Der Ida, Collins, Francis S., Fall, Tove, Florez, Jose C., Fritsche, Andreas, Grallert, Harald, Groop, Leif, Hansen, Torben, Koistinen, Heikki A., Komulainen, Pirjo, Laakso, Markku, Lind, Lars, Loeffler, Markus, März, Winfried, Meigs, James B., Raffel, Leslie J., Rauramaa, Rainer, Rotter, Jerome I., Schwarz, Peter E. H., Stumvoll, Michael, Sundström, Johan, Tönjes, Anke, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Wagner, Robert, Barroso, Inês, Walker, Mark, Grarup, Niels, Boehnke, Michael, Wareham, Nicholas J., Mohlke, Karen L., Wheeler, Eleanor, O’Rahilly, Stephen, Fazakerley, Daniel J., and Langenberg, Claudia
- Abstract
Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P< 5 × 10−8) not previously associated with postchallenge insulin resistance, eight of which were shown to share their genetic architecture with type 2 diabetes in colocalization analyses. We investigated candidate genes at a subset of associated loci in cultured cells and identified nine candidate genes newly implicated in the expression or trafficking of GLUT4, the key glucose transporter in postprandial glucose uptake in muscle and fat. By focusing on postprandial insulin resistance, we highlighted the mechanisms of action at type 2 diabetes loci that are not adequately captured by studies of fasting glycemic traits.
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- 2023
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17. Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth
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Beaumont, Robin N., Flatley, Christopher, Vaudel, Marc, Wu, Xiaoping, Chen, Jing, Moen, Gunn-Helen, Skotte, Line, Helgeland, Øyvind, Solé-Navais, Pol, Banasik, Karina, Albiñana, Clara, Ronkainen, Justiina, Fadista, João, Stinson, Sara Elizabeth, Trajanoska, Katerina, Wang, Carol A., Westergaard, David, Srinivasan, Sundararajan, Sánchez-Soriano, Carlos, Bilbao, Jose Ramon, Allard, Catherine, Groleau, Marika, Kuulasmaa, Teemu, Leirer, Daniel J., White, Frédérique, Jacques, Pierre-Étienne, Cheng, Haoxiang, Hao, Ke, Andreassen, Ole A., Åsvold, Bjørn Olav, Atalay, Mustafa, Bhatta, Laxmi, Bouchard, Luigi, Brumpton, Ben Michael, Brunak, Søren, Bybjerg-Grauholm, Jonas, Ebbing, Cathrine, Elliott, Paul, Engelbrechtsen, Line, Erikstrup, Christian, Estarlich, Marisa, Franks, Stephen, Gaillard, Romy, Geller, Frank, Grove, Jakob, Hougaard, David M., Kajantie, Eero, Morgen, Camilla S., Nohr, Ellen A., Nyegaard, Mette, Palmer, Colin N. A., Pedersen, Ole Birger, Rivadeneira, Fernando, Sebert, Sylvain, Shields, Beverley M., Stoltenberg, Camilla, Surakka, Ida, Thørner, Lise Wegner, Ullum, Henrik, Vaarasmaki, Marja, Vilhjalmsson, Bjarni J., Willer, Cristen J., Lakka, Timo A., Gybel-Brask, Dorte, Bustamante, Mariona, Hansen, Torben, Pearson, Ewan R., Reynolds, Rebecca M., Ostrowski, Sisse R., Pennell, Craig E., Jaddoe, Vincent W. V., Felix, Janine F., Hattersley, Andrew T., Melbye, Mads, Lawlor, Deborah A., Hveem, Kristian, Werge, Thomas, Nielsen, Henriette Svarre, Magnus, Per, Evans, David M., Jacobsson, Bo, Järvelin, Marjo-Riitta, Zhang, Ge, Hivert, Marie-France, Johansson, Stefan, Freathy, Rachel M., Feenstra, Bjarke, and Njølstad, Pål R.
- Abstract
A well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal (n= 65,405), maternal (n= 61,228) and paternal (n= 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1. Genetic correlation and colocalization analyses reveal overlap with birth weight genetics, but 12 loci are classified as predominantly or only affecting placental weight, with connections to placental development and morphology, and transport of antibodies and amino acids. Mendelian randomization analyses indicate that fetal genetically mediated higher placental weight is causally associated with preeclampsia risk and shorter gestational duration. Moreover, these analyses support the role of fetal insulin in regulating placental weight, providing a key link between fetal and placental growth.
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- 2023
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18. SMIM1absence is associated with reduced energy expenditure and excess weight
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Stefanucci, Luca, Moslemi, Camous, Tomé, Ana R., Virtue, Samuel, Bidault, Guillaume, Gleadall, Nicholas S., Watson, Laura P.E., Kwa, Jing E., Burden, Frances, Farrow, Samantha, Banasik, Karina, Bay, Jakob, Boldsen, Jens Kjærgaard, Brodersen, Thorsten, Brunak, Søren, Burgdorf, Kristoffer, Chalmer, Mona Ameri, Didriksen, Maria, Dinh, Khoa Manh, Dowsett, Joseph, Erikstrup, Christian, Feenstra, Bjarke, Geller, Frank, Gudbjartsson, Daniel, Hansen, Thomas Folkmann, Hindhede, Lotte, Hjalgrim, Henrik, Jacobsen, Rikke Louise, Jemec, Gregor, Jensen, Bitten Aagaard, Kaspersen, Katrine, Kjerulff, Bertram Dalskov, Kogelman, Lisette, Hørup Larsen, Margit Anita, Louloudis, Ioannis, Lundgaard, Agnete, Susan, Mikkelsen, Christina, Nissen, Ioanna, Nyegaard, Mette, Ostrowski, Sisse Rye, Pedersen, Ole Birger, Henriksen, Alexander Pil, Rohde, Palle Duun, Rostgaard, Klaus, Schwinn, Michael, Stefansson, Kari, Stefánsson, Hreinn, Sørensen, Erik, þorsteinsdóttir, Unnur, Thørner, Lise Wegner, Bruun, Mie Topholm, Ullum, Henrik, Werge, Thomas, Westergaard, David, Chen, Ji, Chen, Ji, Spracklen, Cassandra N., Marenne, Gaëlle, Varshney, Arushi, Corbin, Laura J., Luan, Jian’an, Willems, Sara M., Wu, Ying, Zhang, Xiaoshuai, Horikoshi, Momoko, Boutin, Thibaud S., Mägi, Reedik, Waage, Johannes, Li-Gao, Ruifang, Katie Chan, Kei Hang, Yao, Jie, Anasanti, Mila D., Chu, Audrey Y., Claringbould, Annique, Heikkinen, Jani, Hong, Jaeyoung, Hottenga, Jouke-Jan, Huo, Shaofeng, Kaakinen, Marika A., Louie, Tin, März, Winfried, Moreno-Macias, Hortensia, Ndungu, Anne, Nelson, Sarah C., Nolte, Ilja M., North, Kari E., Raulerson, Chelsea K., Ray, Debashree, Rohde, Rebecca, Rybin, Denis, Schurmann, Claudia, Sim, Xueling, Southam, Loz, Stewart, Isobel D., Wang, Carol A., Wang, Yujie, Wu, Peitao, Zhang, Weihua, Ahluwalia, Tarunveer S., Appel, Emil V.R., Bielak, Lawrence F., Brody, Jennifer A., Burtt, Noël P., Cabrera, Claudia P., Cade, Brian E., Chai, Jin Fang, Chai, Xiaoran, Chang, Li-Ching, Chen, Chien-Hsiun, Chen, Brian H., Chitrala, Kumaraswamy Naidu, Chiu, Yen-Feng, de Haan, Hugoline G., Delgado, Graciela E., Demirkan, Ayse, Duan, Qing, Engmann, Jorgen, Fatumo, Segun A., Gayán, Javier, Giulianini, Franco, Gong, Jung Ho, Gustafsson, Stefan, Hai, Yang, Hartwig, Fernando P., He, Jing, Heianza, Yoriko, Huang, Tao, Huerta-Chagoya, Alicia, Hwang, Mi Yeong, Jensen, Richard A., Kawaguchi, Takahisa, Kentistou, Katherine A., Kim, Young Jin, Kleber, Marcus E., Kooner, Ishminder K., Lai, Shuiqing, Lange, Leslie A., Langefeld, Carl D., Lauzon, Marie, Li, Man, Ligthart, Symen, Liu, Jun, Loh, Marie, Long, Jirong, Lyssenko, Valeriya, Mangino, Massimo, Marzi, Carola, Montasser, May E., Nag, Abhishek, Nakatochi, Masahiro, Noce, Damia, Noordam, Raymond, Pistis, Giorgio, Preuss, Michael, Raffield, Laura, Rasmussen-Torvik, Laura J., Rich, Stephen S., Robertson, Neil R., Rueedi, Rico, Ryan, Kathleen, Sanna, Serena, Saxena, Richa, Schraut, Katharina E., Sennblad, Bengt, Setoh, Kazuya, Smith, Albert V., Southam, Lorraine, Sparsø, Thomas, Strawbridge, Rona J., Takeuchi, Fumihiko, Tan, Jingyi, Trompet, Stella, van den Akker, Erik, van der Most, Peter J., Verweij, Niek, Vogel, Mandy, Wang, Heming, Wang, Chaolong, Wang, Nan, Warren, Helen R., Wen, Wanqing, Wilsgaard, Tom, Wong, Andrew, Wood, Andrew R., Xie, Tian, Zafarmand, Mohammad Hadi, Zhao, Jing-Hua, Zhao, Wei, Amin, Najaf, Arzumanyan, Zorayr, Astrup, Arne, Bakker, Stephan J.L., Baldassarre, Damiano, Beekman, Marian, Bergman, Richard N., Bertoni, Alain, Blüher, Matthias, Bonnycastle, Lori L., Bornstein, Stefan R., Bowden, Donald W., Cai, Qiuyin, Campbell, Archie, Campbell, Harry, Chang, Yi Cheng, de Geus, Eco J.C., Dehghan, Abbas, Du, Shufa, Eiriksdottir, Gudny, Farmaki, Aliki Eleni, Frånberg, Mattias, Fuchsberger, Christian, Gao, Yutang, Gjesing, Anette P., Goel, Anuj, Han, Sohee, Hartman, Catharina A., Herder, Christian, Hicks, Andrew A., Hsieh, Chang-Hsun, Hsueh, Willa A., Ichihara, Sahoko, Igase, Michiya, Ikram, M. Arfan, Johnson, W. Craig, Jørgensen, Marit E., Joshi, Peter K., Kalyani, Rita R., Kandeel, Fouad R., Katsuya, Tomohiro, Khor, Chiea Chuen, Kiess, Wieland, Kolcic, Ivana, Kuulasmaa, Teemu, Kuusisto, Johanna, Läll, Kristi, Lam, Kelvin, Lawlor, Deborah A., Lee, Nanette R., Lemaitre, Rozenn N., Li, Honglan, Lin, Shih-Yi, Lindström, Jaana, Linneberg, Allan, Liu, Jianjun, Lorenzo, Carlos, Matsubara, Tatsuaki, Matsuda, Fumihiko, Mingrone, Geltrude, Mooijaart, Simon, Moon, Sanghoon, Nabika, Toru, Nadkarni, Girish N., Nadler, Jerry L., Nelis, Mari, Neville, Matt J., Norris, Jill M., Ohyagi, Yasumasa, Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Qi, Qibin, Raven, Dennis, Reilly, Dermot F., Reiner, Alex, Rivideneira, Fernando, Roll, Kathryn, Rudan, Igor, Sabanayagam, Charumathi, Sandow, Kevin, Sattar, Naveed, Schürmann, Annette, Shi, Jinxiu, Stringham, Heather M., Taylor, Kent D., Teslovich, Tanya M., Thuesen, Betina, Timmers, Paul R.H.J., Tremoli, Elena, Tsai, Michael Y., Uitterlinden, Andre, van Dam, Rob M., van Heemst, Diana, van Hylckama Vlieg, Astrid, Van Vliet-Ostaptchouk, Jana V., Vangipurapu, Jagadish, Vestergaard, Henrik, Wang, Tao, Willems van Dijk, Ko, Zemunik, Tatijana, Abecasis, Goncalo R., Adair, Linda S., Aguilar-Salinas, Carlos Alberto, Alarcón-Riquelme, Marta E., An, Ping, Aviles-Santa, Larissa, Becker, Diane M., Beilin, Lawrence J., Bergmann, Sven, Bisgaard, Hans, Black, Corri, Boehnke, Michael, Boerwinkle, Eric, Böhm, Bernhard O., Bønnelykke, Klaus, Boomsma, D.I., Bottinger, Erwin P., Buchanan, Thomas A., Canouil, Mickaël, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Ida Chen, Yii-Der, Cheng, Ching-Yu, Collins, Francis S., Correa, Adolfo, Cucca, Francesco, Janaka de Silva, H., Dedoussis, George, Elmståhl, Sölve, Evans, Michele K., Ferrannini, Ele, Ferrucci, Luigi, Florez, Jose C., Franks, Paul W., Frayling, Timothy M., Froguel, Philippe, Gigante, Bruna, Goodarzi, Mark O., Gordon-Larsen, Penny, Grallert, Harald, Grarup, Niels, Grimsgaard, Sameline, Groop, Leif, Gudnason, Vilmundur, Guo, Xiuqing, Hamsten, Anders, Hansen, Torben, Hayward, Caroline, Heckbert, Susan R., Horta, Bernardo L., Huang, Wei, Ingelsson, Erik, James, Pankow S., Jarvelin, Marjo-Ritta, Jonas, Jost B., Jukema, J. Wouter, Kaleebu, Pontiano, Kaplan, Robert, Kardia, Sharon L.R., Kato, Norihiro, Keinanen-Kiukaanniemi, Sirkka M., Kim, Bong-Jo, Kivimaki, Mika, Koistinen, Heikki A., Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kuh, Diana, Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lakka, Timo A., Launer, Lenore J., Leander, Karin, Li, Huaixing, Lin, Xu, Lind, Lars, Lindgren, Cecilia, Liu, Simin, Loos, Ruth J.F., Magnusson, Patrik K.E., Mahajan, Anubha, Metspalu, Andres, Mook-Kanamori, Dennis O., Mori, Trevor A., Munroe, Patricia B., Njølstad, Inger, O'Connell, Jeffrey R., Oldehinkel, Albertine J., Ong, Ken K., Padmanabhan, Sandosh, Palmer, Colin N.A., Palmer, Nicholette D., Pedersen, Oluf, Pennell, Craig E., Porteous, David J., Pramstaller, Peter P., Province, Michael A., Psaty, Bruce M., Qi, Lu, Raffel, Leslie J., Rauramaa, Rainer, Redline, Susan, Ridker, Paul M., Rosendaal, Frits R., Saaristo, Timo E., Sandhu, Manjinder, Saramies, Jouko, Schneiderman, Neil, Schwarz, Peter, Scott, Laura J., Selvin, Elizabeth, Sever, Peter, Shu, Xiao-Ou, Slagboom, P. Eline, Small, Kerrin S., Smith, Blair H., Snieder, Harold, Sofer, Tamar, Sørensen, Thorkild I.A., Spector, Tim D., Stanton, Alice, Steves, Claire J., Stumvoll, Michael, Sun, Liang, Tabara, Yasuharu, Tai, E. Shyong, Timpson, Nicholas J., Tönjes, Anke, Tuomilehto, Jaakko, Tusie, Teresa, Uusitupa, Matti, van der Harst, Pim, van Duijn, Cornelia, Vitart, Veronique, Vollenweider, Peter, Vrijkotte, Tanja G.M., Wagenknecht, Lynne E., Walker, Mark, Wang, Ya X., Wareham, Nick J., Watanabe, Richard M., Watkins, Hugh, Wei, Wen B., Wickremasinghe, Ananda R., Willemsen, Gonneke, Wilson, James F., Wong, Tien-Yin, Wu, Jer-Yuarn, Xiang, Anny H., Yanek, Lisa R., Yengo, Loïc, Yokota, Mitsuhiro, Zeggini, Eleftheria, Zheng, Wei, Zonderman, Alan B., Rotter, Jerome I., Gloyn, Anna L., McCarthy, Mark I., Dupuis, Josée, Meigs, James B., Scott, Robert A., Prokopenko, Inga, Leong, Aaron, Liu, Ching-Ti, Parker, Stephen C.J., Mohlke, Karen L., Langenberg, Claudia, Wheeler, Eleanor, Morris, Andrew P., Barroso, Inês, Võsa, Urmo, Burling, Keith, Walker, Lindsay, Ord, John, Barker, Peter, Warner, James, Frary, Amy, Renhstrom, Karola, Ashford, Sofie E., Piper, Jo, Biggs, Gail, Erber, Wendy N., Hoffman, Gary J., Schoenmakers, Nadia, Erikstrup, Christian, Rieneck, Klaus, Dziegiel, Morten H., Ullum, Henrik, Azzu, Vian, Vacca, Michele, Aparicio, Hugo Javier, Hui, Qin, Cho, Kelly, Sun, Yan V., Wilson, Peter W., Bayraktar, Omer A., Vidal-Puig, Antonio, Ostrowski, Sisse R., Astle, William J., Olsson, Martin L., Storry, Jill R., Pedersen, Ole B., Ouwehand, Willem H., Chatterjee, Krishna, Vuckovic, Dragana, and Frontini, Mattia
- Abstract
Obesity rates have nearly tripled in the past 50 years, and by 2030 more than 1 billion individuals worldwide are projected to be obese. This creates a significant economic strain due to the associated non-communicable diseases. The root cause is an energy expenditure imbalance, owing to an interplay of lifestyle, environmental, and genetic factors. Obesity has a polygenic genetic architecture; however, single genetic variants with large effect size are etiological in a minority of cases. These variants allowed the discovery of novel genes and biology relevant to weight regulation and ultimately led to the development of novel specific treatments.
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- 2024
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19. Normal Values of Distal Radioulnar Joint Kinematics during a Dynamic Press Test
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Thillemann, Janni Kjærgaard, De Raedt, Sepp, Petersen, Emil Toft, Puhakka, Katriina Bøcker, Hansen, Torben Bæk, and Stilling, Maiken
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- 2022
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20. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention
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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, Soren, 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, 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., and Hoed, Marcel den
- Abstract
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 ACTN3makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type IIAmuscle 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.
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- 2022
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21. Impact of glucose tolerance status, sex, and body size on glucose absorption patterns during OGTTs
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Faerch, Kristine, Pacini, Giovanni, Nolan, John J., Hansen, Torben, Tura, Andrea, and Vistisen, Dorte
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Body size -- Physiological aspects ,Glucose tolerance tests -- Physiological aspects ,Glucose metabolism -- Physiological aspects ,Health - Abstract
OBJECTIVE--We studied whether patterns of glucose absorption during oral glucose tolerance tests (OGTTs) were abnormal in individuals with impaired glucose regulation and whether they were related to sex and body [...]
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- 2013
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22. Genetic risk score of 46 type 2 diabetes risk variants associates with changes in plasma glucose and estimates of pancreatic β-cell function over 5 years of follow-up
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Andersson, Ehm A., Allin, Kristine H., Sandholt, Camilla H., Borglykke, Anders, Lau, Cathrine J., Ribel-Madsen, Rasmus, Sparso, Thomas, Justesen, Johanne M., Harder, Marie N., Jorgensen, Marit E., Jorgensen, Torben, Hansen, Torben, and Pedersen, Oluf
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Pancreatic beta cells -- Physiological aspects ,Glucose metabolism -- Physiological aspects ,Type 2 diabetes -- Risk factors -- Genetic aspects ,Health - Abstract
More than 40 genetic risk variants for type 2 diabetes have been validated. We aimed to test whether a genetic risk score associates with the incidence of type 2 diabetes and with 5-year changes in glycemic traits and whether the effects were modulated by changes in BMI and lifestyle. The Inter99 study population was genotyped for 46 variants, and a genetic risk score was constructed. During a median follow-up of 11 years, 327 of 5,850 individuals developed diabetes. Physical examinations and oral glucose tolerance tests were performed at baseline and after 5 years (n = 3,727). The risk of incident type 2 diabetes was increased with a hazard ratio of 1.06 (95% CI 1.03-1.08) per risk allele. While the population in general had improved glucose regulation during the 5-year follow-up period, each additional allele in the genetic risk score was associated with a relative increase in fasting, 30-min, and 120-min plasma glucose values and a relative decrease in measures of β-cell function over the 5-year period, whereas indices of insulin sensitivity were unaffected. The effect of the genetic risk score on 5-year changes in fasting plasma glucose was stronger in individuals who increased their BMI. In conclusion, a genetic risk score based on 46 variants associated strongly with incident type 2 diabetes and 5-year changes in plasma glucose and β-cell function. Individuals who gain weight may be more susceptible to the cumulative impact of type 2 diabetes risk variants on fasting plasma glucose., Type 2 diabetes is a complex metabolic disorder where both environment and genetic disposition act in concert to cause the disease. Over the last few years, genome-wide association studies and [...]
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- 2013
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23. The CTRB1/2 locus affects diabetes susceptibility and treatment via the incretin pathway
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't Hart, Leen M., Fritsche, Andreas, Nijpels, Giel, van Leeuwen, Nienke, Donnelly, Louise A., Dekker, Jacqueline M., Alssema, Marjan, Fadista, Joao, Carlotti, Francoise, Gjesing, Anette P., Palmer, Colin N.A., van Haeften, Timon W., Herzberg-Schafer, Silke A., Simonis-Bik, Annemarie M.C., Houwing-Duistermaat, Jeanine J., Helmer, Quinta, Deelen, Joris, Guigas, Bruno, Hansen, Torben, Machicao, Fausto, Willemsen, Gonneke, Heine, Robert J., Kramer, Mark H.H., Hoist, Jens J., de Koning, Eelco J.P., Haring, Hans-Ulrich, Pedersen, Oluf, Groop, Leif, de Geus, Eco J.C., Slagboom, P. Eline, Boomsma, Dorret I., Eekhoff, Elisabeth M.W., Pearson, wan R., and Diamant, Michaela
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Genetic susceptibility -- Research ,Glucose metabolism -- Physiological aspects -- Genetic aspects -- Research ,Type 2 diabetes -- Risk factors -- Genetic aspects -- Research ,Glucagon -- Physiological aspects -- Genetic aspects -- Research ,Health - Abstract
The incretin hormone glucagon-like peptide 1 (GLP-I) promotes glucose homeostasis and enhances B-cell function. GLP-1 receptor agonists (GLP-1 RAs) and dipeptidyl peptidase-4 (DPP-4) inhibitors, which inhibit the physiological inactivation of endogenous GLP-1, are used for the treatment of type 2 diabetes. Using the Metabochip, we identified three novel genetic loci with large effects (30-40%) on GLP-1-stimulated insulin secretion during hyperglycemic clamps in nondiabetic Caucasian individuals (TMEM114; CHST3 and CTRB1/2; n = 232; all P ≤ 8.8 x [10.sup.-7]). rs7202877 near CTRB1/2, a known diabetes risk locus, also associated with an absolute 0.51 ± 0.16% (5.6 ± 1.7 mmo/mol) lower A1C response to DPP-4 inhibitor treatment in G-allele carriers, but there was no effect on GLP-1 RA treatment in type 2 diabetic patients (n = 527). Furthermore, in pancreatic tissue, we show that rs7202877 acts as expression quantitative trait locus for CTRB1 and CTRB2, encoding chymotrypsinogen, and increases fecal chymotrypsin activity in healthy carriers. Chymotrypsin is one of the most abundant digestive enzymes in the gut where it cleaves food proteins into smaller peptide fragments. Our data identify chymotrypsin in the regulation of the incretin pathway, development of diabetes, and response to DPP-4 inhibitor treatment., The incretin hormone glucagon-like peptide 1 (GLP-1) is released after a meal by L cells in the distal parts of the gastrointestinal tract, and it potentiates glucose-dependent insulin secretion by [...]
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- 2013
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24. Genetic variants associated with glycine metabolism and their role in insulin sensitivity and type 2 diabetes
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Xie, Weijia, Wood, Andrew R., Lyssenko, Valeriya, Weedon, Michael N., Knowles, Joshua W., Alkayyali, Sami, Assimes, Themistocles L., Quertermous, Thomas, Abbasi, Fahim, Paananen, Jussi, Haring, Hans, Hansen, Torben, Pedersen, Oluf, Smith, Ulf, Laakso, Markku, Dekker, Jacqueline M., Nolan, John J., Groop, Leif, Ferrannini, Ele, Adam, Klaus-Peter, Gall, Walter E., Frayling, Timothy M., and Walker, Mark
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Amino acid metabolism -- Physiological aspects -- Genetic aspects -- Research ,Insulin resistance -- Genetic aspects -- Research ,Genetic variation -- Physiological aspects -- Research ,Type 2 diabetes -- Genetic aspects -- Research ,Health - Abstract
Circulating metabolites associated with insulin sensitivity may represent useful biomarkers, but their causal role in insulin sensitivity and diabetes is less certain. We previously identified novel metabolites correlated with insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp. The top-ranking metabolites were in the glutathione and glycine biosynthesis pathways. We aimed to identify common genetic variants associated with metabolites in these pathways and test their role in insulin sensitivity and type 2 diabetes. With 1,004 nondiabetic individuals from the RISC study, we performed a genome-wide association study (GWAS) of 14 insulin sensitivity-related metabolites and one metabolite ratio. We replicated our results in the Botnia study (n = 342). We assessed the association of these variants with diabetes-related traits in GWAS meta-analyses (GENESIS [including RISC, EUGENE2, and Stanford], MAGIC, and DIAGRAM). We identified four associations with three metabolites--glycine (rs715 at CPS1), serine (rs478093 at PHGDH), and betaine (rs499368 at SLC6A12; rs17823642 at BHMT)--and one association signal with glycine-to-serine ratio (rs1107366 at ALDHIL1). There was no robust evidence for association between these variants and insulin resistance or diabetes. Genetic variants associated with genes in the glycine biosynthesis pathways do not provide consistent evidence for a role of glycine in diabetes-related traits., Using mass spectrometry-based metabolomic approaches, recent studies have identified associations between small molecules and insulin sensitivity and type 2 diabetes (1-6). Previous studies in the RISC (Relationship between Insulin Sensitivity [...]
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- 2013
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25. Mutations in HNF1A result in marked alterations of plasma glycan profile
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Thanabalasingham, Gaya, Huffman, Jennifer E., Kattla, Jayesh J., Novokmet, Mislav, Rudan, Igor, Gloyn, Anna L., Hayward, Caroline, Adamczyk, Barbara, Reynolds, Rebecca M., Muzinic, Ana, Hassanali, Neelam, Pucic, Maja, Bennett, Amanda J., Essafi, Abdelkader, Polasek, Ozren, Mughal, Saima A., Redzic, Irma, Primorac, Dragan, Zgaga, Lina, Kolcic, Ivana, Hansen, Torben, Gasperikova, Daniela, Tjora, Erling, Strachan, Mark W.J., Nielsen, Trine, Stanik, Juraj, Klimes, Iwar, Pedersen, Oluf B., Njolstad, Pal R., Wild, Sarah H., Gyllensten, Ulf, Gornik, Olga, Wilson, James F., Hastie, Nicholas D., Campbell, Harry, McCarthy, Mark I., Rudd, Pauline M., Owen, Katharine R., Lauc, Gordan, and Wright, Alan F.
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Gene mutations -- Physiological aspects -- Research ,Diabetes -- Risk factors -- Genetic aspects -- Diagnosis -- Research ,Biological markers -- Physiological aspects -- Genetic aspects -- Research ,Health - Abstract
A recent genome-wide association study identified hepatocyte nuclear factor 1-α (HNF1A) as a key regulator of fucosylation. We hypothesized that loss-of-function HNF1A mutations causal for maturity-onset diabetes of the young (MODY) would display altered fucosylation of N-linked glycans on plasma proteins and that glycan biomarkers could improve the efficiency of a diagnosis of HNF1A-MODY. In a pilot comparison of 33 subjects with HNF1A-MODY and 41 subjects with type 2 diabetes, 15 of 29 glycan measurements differed between the two groups. The DG9-glycan index, which is the ratio of fucosylated to nonfucosylated triantennary glycans, provided optimum discrimination in the pilot study and was examined further among additional subjects with HNF1A-MODY (n = 188), glucokinase (GCK)-MODY (n = 118), hepatocyte nuclear factor 4-α (HNF4A)-MODY (n = 40), type 1 diabetes (n = 98), type 2 diabetes (n = 167), and nondiabetic controls (n = 98). The DG9-glycan index was markedly lower in HNF1A-MODY than in controls or other diabetes subtypes, offered good discrimination between HNF1A-MODY and both type 1 and type 2 diabetes (C statistic [greater than or equal to]0.90), and enabled us to detect three previously undetected HNF1A mutations in patients with diabetes. In conclusion, glycan profiles are altered substantially in HNF1A-MODY, and the DG9-glycan index has potential clinical value as a diagnostic biomarker of HNF1A dysfunction., Genome-wide association studies are providing novel insights into the genetic architecture and biological basis of many diseases, but immediate translation into clinical practice has been limited. We recently performed a [...]
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- 2013
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26. Combined analyses of 20 common obesity susceptibility variants
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Sandholt, Camilla Helene, Sparso, Thomas, Grarup, Niels, Albrechtsen, Anders, Almind, Katrine, Hansen, Lars, Tort, Ulla, Jorgensen, Torben, Hansen, Torben, and Pedersen, Oluf
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Obesity -- Genetic aspects -- Risk factors -- Research ,Genomics -- Research -- Genetic aspects ,Diabetes -- Risk factors -- Genetic aspects -- Research ,Disease susceptibility -- Risk factors -- Genetic aspects -- Research - Abstract
OBJECTIVE--Genome-wide association studies and linkage studies have identified 20 validated genetic variants associated with obesity and/or related phenotypes. The variants are common, and they individually exhibit small-to-modest effect sizes. RESEARCH DESIGN AND METHODS--In this study we investigate the combined effect of these variants and their ability to discriminate between normal weight and overweight/obese individuals. We applied receiver operating characteristics (ROC) curves, and estimated the area under the ROC curve (AUC) as a measure of the discriminatory ability. The analyses were performed cross-sectionally in the population-based Inter99 cohort where 1,725 normal weight, 1,519 overweight, and 681 obese individuals were successfully genotyped for all 20 variants. RESULTS--When combining all variants, the 10% of the study participants who carried more than 22 risk-alleles showed a significant increase in probability of being both overweight with an odds ratio of 2.00 (1.47-2.72), P = 4.0 x [10.sup.-5], and obese with an OR of 2.62 (1.76-3.92), P = 6.4 x [10.sup.-7], compared with the 10% of the study participants who carried less than 14 risk-alleles. Discrimination ability for overweight and obesity, using the 20 single nucleotide polymorphisms (SNPs), was determined to AUCs of 0.53 and 0.58, respectively. When combining SNP data with conventional nongenetic risk factors of obesity, the discrimination ability increased to 0.64 for overweight and 0.69 for obesity. The latter is significantly higher (P < 0.001) than for the nongenetic factors alone (AUC = 0.67). CONCLUSIONS--The discriminative value of the 20 validated common obesity variants is at present time sparse and too weak for clinical utility, however, they add to increase the discrimination ability of conventional nongenetic risk factors. Diabetes 59:1667-1673, 2010, The prevalence of obesity is increasing rapidly in all parts of the world. The primary cause of the current epidemic development is likely an unhealthy lifestyle, especially high calorie intake [...]
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- 2010
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27. MTNR1B G24E variant associates with BMI and fasting plasma glucose in the general population in studies of 22,142 Europeans
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Andersson, Ehm A., Holst, Birgitte, Sparso, Thomas, Grarup, Niels, Banasik, Karina, Holmkvist, Johan, Jorgensen, Torben, Borch-Johnsen, Knut, Egerod, Kristoffer L., Lauritzen, Torsten, Sorensen, Thorkild I.A., Bonnefond, Amelie, Meyre, David, Schwartz, Philippe Froguel Thue W., Pedersen, Oluf, and Hansen, Torben
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Hormone receptors -- Physiological aspects -- Genetic aspects -- Research ,Genetic variation -- Research ,Type 2 diabetes -- Risk factors -- Genetic aspects -- Demographic aspects -- Research ,Health - Abstract
OBJECTIVE--Common variants in the melatonin receptor type 1B (MTNR1B) locus have been shown to increase fasting plasma glucose (FPG) and the risk of type 2 diabetes. The aims of this study were to evaluate whether nonsynonymous variants in MTNR1B associate with monogenic forms of hyperglycemia, type 2 diabetes, or related metabolic traits. RESEARCH DESIGN AND METHODS--MTNR1B was sequenced in 47 probands with clinical maturity-onset diabetes of the young (MODY), in 51 probands with early-onset familial type 2 diabetes, and in 94 control individuals. Six nonsynonymous variants (G24E, L60R, V124I, R138C, R231H, and K243R) were genotyped in up to 22,142 Europeans. Constitutive and melatonin-induced signaling was characterized for the wild-type melatonin receptor type 1B (MT2) and the 24E, 60R, and 124I MT2 mutants in transfected COS-7 cells. RESULTS--No mutations in MTNR1B were MODY specific, and none of the investigated MTNR1B variants associated with type 2 diabetes. The common 24E variant associated with increased prevalence of obesity (odds ratio 1.20 [1.08-1.34]; P = 8.3 x [10.sup.-4]) and increased BMI (β = 0.5 kg/[m.sup.2]; P = 1.2 x [10.sup.-5]) and waist circumference (β = 1.2 cm; P = 9 x [10.sup.-6]) in combined Danish and French study samples. 24E also associated with decreased FPG (β = -0.08 mmol/l; P = 9.2 x [10.sup.-4]) in the Danish Inter99 population. Slightly decreased constitutive activity was observed for the MT2 24E mutant, while the 124I and 60R mutants displayed considerably decreased or completely disrupted signaling, respectively. CONCLUSIONS--Nonsynonymous mutations in MTNR1B are not a common cause of MODY or type 2 diabetes among Danes. MTNR1B 24E associates with increased body mass and de creased FPG. Decreased MT2 signaling does apparently not directly associate with FPG or type 2 diabetes. Diabetes 59: 1539-1548, 2010, Genome-wide association (GWA) studies have shown that common variation in the melatonin receptor type 1B (MTNR1B) locus increases the level of fasting plasma glucose (FPG) and the risk of type [...]
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- 2010
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28. Impact of rs361072 in the phosphoinositide 3-kinase p110[beta] gene on whole-body glucose metabolism and subunit protein expression in skeletal muscle
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Ribel-Madsen, Rasmus, Poulsen, Pernille, Holmkvist, Johan, Mortensen, Brynjulf, Grarup, Niels, Friedrichsen, Martin, Jorgensen, Torben, Lauritzen, Torsten, Wojtaszewski, Jorgen F.P., Pedersen, Oluf, Hansen, Torben, and Vaag, Allan
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Protein kinases -- Physiological aspects -- Genetic aspects -- Research ,Glucose metabolism -- Physiological aspects -- Research ,Type 2 diabetes -- Risk factors -- Genetic aspects -- Research ,Muscles -- Physiological aspects -- Genetic aspects -- Research ,Health - Abstract
OBJECTIVE--Phosphoinositide 3-kinase (PI3K) is a major effector in insulin signaling, rs361072, located in the promoter of the gene (PIK3CB) for the p110[beta] subunit, has previously been found to be associated [...]
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- 2010
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29. The T-allele of TCF7L2 rs7903146 associates with a reduced compensation of insulin secretion for insulin resistance induced by 9 days of bed rest
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Alibegovic, Amra C., Sonne, Mette P., Hojbjerre, Lise, Hansen, Torben, Pedersen, Oluf, van Hall, Gerrit, Holst, Jens J., Stallknecht, Bente, Dela, Flemming, and Vaag, Allan
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Bed rest -- Health aspects ,Insulin resistance -- Care and treatment ,Glucose metabolism -- Analysis ,Type 2 diabetes -- Genetic aspects -- Physiological aspects ,Transcription factors -- Health aspects -- Physiological aspects ,Health - Abstract
OBJECTIVE--The aim of this study was to determine whether the type 2 diabetes-associated T-allele of transcription factor 7-like 2 (TCF7L2) rs7903146 associates with impaired insulin secretion to compensate for insulin resistance induced by bed rest. RESEARCH DESIGN AND METHODS--A total of 38 healthy young Caucasian men were studied before and after bed rest using the hyperinsulinemic-euglycemic clamp technique combined with indirect calorimetry preceded by an intravenous glucose tolerance test. The TCF7L2 rs7903146 was genotyped using allelic discrimination performed with an ABI 7900 system. The genetic analyses were done assuming a dominant model of inheritance. RESULTS--The first-phase insulin response (FPIR) was significantly lower in carriers of the T-allele compared with carriers of the CC genotype before bed rest, with and without correction for insulin resistance. The incremental rise of FPIR in response to insulin resistance induced by bed rest was lower in carriers of the T-allele (P < 0.001). Fasting plasma glucagon levels were significantly lower in carriers of the T-allele before and after bed rest. While carriers of the CC genotype developed increased hepatic insulin resistance, the TCF7L2 rs7903146 did not influence peripheral insulin action or the rate of lipolysis before or after bed rest. CONCLUSIONS--Healthy carriers of the T-allele of TCF7L2 rs7903146 exhibit a diminished increase of insulin secretion in response to intravenous glucose to compensate for insulin resistance as induced by bed rest. Reduced paracrine glucagon stimulation may contribute to the impairment of β-cell function in the carriers TCF7L2 rs7903146 T-allele associated with increased risk of type 2 diabetes., Type 2 diabetes is caused by a complicated interplay between genetic and environmental factors acting on glucose and fat metabolism involving multiple defects of peripheral (muscle) and hepatic insulin action, [...]
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- 2010
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30. Insulin gene mutations resulting in early-onset diabetes: marked differences in clinical presentation, metabolic status, and pathogenic effect through endoplasmic reticulum retention. (ORIGINAL ARTICLE)
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Meur, Gargi, Simon, Albane, Harun, Nasret, Virally, Marie, Dechaume, Aurelie, Bonnefond, Amelie, Fetita, Sabrina, Tarasov, Andrei I., Guillausseau, Pierre-Jean, Boesgaard, Trine Wellov, Pedersen, Oluf, Hansen, Torben, Polak, Michel, Gautier, Jean-Francois, Froguel, Philippe, Rutter, Guy A., and Vaxillaire, Martine
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Gene mutations -- Health aspects -- Research ,Endoplasmic reticulum -- Physiological aspects -- Genetic aspects -- Research ,Diabetes -- Risk factors -- Genetic aspects -- Research ,Pancreatic beta cells -- Health aspects -- Research ,Health - Abstract
OBJECTIVE--Heterozygous mutations in the human preproinsulin (INS) gene are a cause of nonsyndromic neonatal or early-infancy diabetes. Here, we sought to identify INS mutations associated with maturity-onset diabetes of the young (MODY) or nonautoimmune diabetes in mid-adult life, and to explore the molecular mechanisms involved. RESEARCH DESIGN AND METHODS--The INS gene was sequenced in 16 French probands with unexplained MODY, 95 patients with nonautoimmune early-onset diabetes (diagnosed at RESULTS--A novel coding mutation, L30M, potentially affecting insulin multimerization, was identified in five diabetic individuals (diabetes onset 17-36 years) in a single family. L30M preproinsulin-GFP fluorescence largely associated with the endoplasmic reticulum (ER) in MIN6 β-cells, and ER exit was inhibited by ~50%. Two additional mutants, R55C (at the B/C junction) and R6H (in the signal peptide), were normally targeted to secretory granules, but nonetheless caused substantial ER stress. CONCLUSIONS--We describe three INS mutations cosegregating with early-onset diabetes whose clinical presentation is compatible with MODY. These led to the production of (pre)proinsulin molecules with markedly different trafficking properties and effects on ER stress, demonstrating a range of molecular defects in the β-cell. Diabetes 59:653-661, 2010, Misfolding of insulin, and consequently defective trafficking to secretory granules, has been recognized for a number of years as the likely underlying cause of β-cell dysfunction and death in several [...]
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- 2010
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31. Regulation and function of FTO mRNA expression in human skeletal muscle and subcutaneous adipose tissue
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Grunnet, Louise G., Nilsson, Emma, Ling, Charlotte, Hansen, Torben, Pedersen, Oluf, Groop, Leif, Vaag, Allan, and Poulsen, Pernille
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Physiological aspects ,Genetic aspects ,Research ,Risk factors ,Obesity -- Genetic aspects -- Risk factors -- Research ,Skeletal muscle -- Research -- Genetic aspects -- Physiological aspects ,Type 2 diabetes -- Risk factors -- Genetic aspects -- Research ,Adipose tissue -- Physiological aspects -- Genetic aspects -- Research ,Messenger RNA -- Physiological aspects -- Research -- Genetic aspects ,Adipose tissues -- Physiological aspects -- Genetic aspects -- Research ,Muscles -- Research -- Genetic aspects -- Physiological aspects - Abstract
Obesity and type 2 diabetes are heterogenous disorders caused by both nongenetic and genetic components. Recent studies identified common variants in FTO (the fat mass--and obesity-associated gene) to be associated [...], OBJECTIVE--Common variants in FTO (the fat mass- and obesity-associated gene) associate with obesity and type 2 diabetes. The regulation and biological function of FTO mRNA expression in target tissue is unknown. We investigated the genetic and nongenetic regulation of FTO mRNA in skeletal muscle and adipose tissue and their influence on in vivo glucose and fat metabolism. RESEARCH DESIGN AND METHODS--The FTO rs9939609 polymorphism was genotyped in two twin cohorts: 1) 298 elderly twins aged 62-83 years with glucose tolerance ranging from normal to type 2 diabetes and 2) 196 young (25-32 years) and elderly (58-66 years) nondiabetic twins examined by a hyperinsulinemic-euglycemic clamp including indirect calorimetry. FTO mRNA expression was determined in subcutaneous adipose tissue (n = 226) and skeletal muscle biopsies (n = 158). RESULTS--Heritability of FTO expression in both tissues was low, and FTO expression was not influenced by FTO rs9939609 genotype. FTO mRNA expression in skeletal muscle was regulated by age and sex, whereas age and BMI were predictors of adipose tissue FTO mRNA expression. FTO mRNA expression in adipose tissue was associated with an atherogenic lipid profile. In skeletal muscle, FTO mRNA expression was negatively associated to fat and positively to glucose oxidation rates as well as positively correlated with expression of genes involved in oxidative phosphorylation including PGC1α. CONCLUSIONS--The heritability of FTO expression in adipose tissue and skeletal muscle is low and not influenced by obesity-associated FTO genotype. The age-dependent decline in FTO expression is associated with peripheral defects of glucose and fat metabolism.
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- 2009
32. Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort
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Kolberg, Janice A., Jorgensen, Torben, Gerwien, Robert W., Hamren, Sarah, McKenna, Michael P., Moler, Edward, Rowe, Michael W., Urdea, Mickey S., Xu, Xiaomei M., Hansen, Torben, Pedersen, Oluf, and Borch- Johnsen, Knut
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Risk assessment -- Research ,Type 2 diabetes -- Research -- Risk factors ,Biological markers -- Research ,Health ,Research ,Risk factors - Abstract
OBJECTIVE--The purpose of this study was to develop a model for assessing the 5- year risk of developing type 2 diabetes from a panel of 64 circulating candidate biomarkers. RESEARCH [...]
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- 2009
33. G-allele of intronic rs10830963 in MTNR1B confers increased risk of impaired fasting glycemia and type 2 diabetes through an impaired glucose-stimulated insulin release: studies involving 19,605 Europeans
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Sparso, Thomas, Bonnefond, Amelie, Andersson, Ehm, Bouatia-Naji, Nabila, Holmkvist, Johan, Wegner, Lise, Grarup, Niels, Gjesing, Anette P., Banasik, Karina, Cavalcanti-Proenca, Christine, Marchand, Marion, Vaxillaire, Martine, Charpentier, Guillaume, Jarvelin, Marjo-Riitta, Tichet, Jean, Balkau, Beverley, Marre, Michel, Levy-Marchal, Claire, Faerch, Kristine, Borch-Johnsen, Knut, Jorgensen, Torben, Madsbad, Sten, Poulsen, Pernille, Vaag, Allan, Dina, Christian, Hansen, Torben, Pedersen, Oluf, and Froguel, Philippe
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Diabetes -- Research ,Insulin resistance -- Health aspects -- Risk factors ,Insulin -- Health aspects ,Type 2 diabetes -- Risk factors ,Health - Abstract
OBJECTIVE--Genome-wide association studies have identified several variants within the MTNR1B locus that are associated with fasting plasma glucose (FPG) and type 2 diabetes. We refined the association signal by direct genotyping and examined for associations of the variant displaying the most independent effect on FPG with isolated impaired fasting glycemia (i-IFG), isolated impaired glucose tolerance (i-IGT), type 2 diabetes, and measures of insulin release and peripheral and hepatic insulin sensitivity. RESEARCH DESIGN AND METHODS--We examined European-descent participants in the Inter99 study (n = 5,553), in a sample of young healthy Danes (n = 372), in Danish twins (n = 77 elderly and n = 97 young), in additional Danish type 2 diabetic patients (n = 1,626) and control subjects (n = 505), in the Data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR) study (n = 4,656), in the North Finland Birth Cohort 86 (n = 5,258), and in the Haguenau study (n = 1,461). RESULTS--The MTNR1B intronic variant, rs10830963, carried most of the effect on FPG and showed the strongest association with FPG (combined P = 5.3 x [10.sup.-31]) and type 2 diabetes. The rs10830963 G-allele increased the risk of i-IFG (odds ratio [OR] 1.64, P = 5.5 x [10.sup.-11]) but not i-IGT. The G-allele was associated with a decreased insulin release after oral and intravenous glucose challenges (P < 0.01) but not after injection of tolbutamide. In elderly twins, the G-allele associated with hepatic insulin resistance (P = 0.017). CONCLUSIONS--The G-allele of MTNR1B rs10830963 increases risk of type 2 diabetes through a state of i-IFG and not through i-IGT. The same allele associates with estimates of β-cell dysfunction and hepatic insulin resistance., The neurohormone melatonin is the main secretory product of the pineal gland and is mainly involved in the regulation of circadian rhythms. Melatonin has been proposed to influence both insulin [...]
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- 2009
34. Natural history of insulin sensitivity and insulin secretion in the progression from normal glucose tolerance to impaired fasting glycemia and impaired glucose tolerance: the Inter99 Study
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Faerch, Kristine, Vaag, Allan, Holst, Jens J., Hansen, Torben, Jorgensen, Torben, and Borch-Johnsen, Knut
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Glucose tolerance tests -- Research ,Dextrose -- Research ,Diabetes -- Research ,Insulin -- Research ,Natural history -- Research ,Glucose -- Research ,Health ,Development and progression ,Research - Abstract
OBJECTIVE--The aim of this study was to describe the natural history of insulin secretion and insulin sensitivity in the development of isolated impaired fasting glycemia (i-IFG), isolated impaired glucose tolerance [...]
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- 2009
35. Variants near MC4R are associated with obesity and influence obesity-related quantitative traits in a population of middle-aged people: studies of 14,940 Danes
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Zobel, Dorit P., Andreasen, Camilla H., Grarup, Niels, Eiberg, Hans, Sorensen, Thorkild I.A., Sandbaek, Annelli, Lauritzen, Torsten, Borch-Johnsen, Knut, Jorgensen, Torben, Pedersen, Oluf, and Hansen, Torben
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Obesity -- Genetic aspects -- Demographic aspects -- Research ,Pituitary hormones -- Health aspects -- Genetic aspects -- Research ,Type 2 diabetes -- Genetic aspects -- Demographic aspects -- Research ,Multifactorial traits -- Research -- Health aspects -- Genetic aspects ,Health ,Research ,Genetic aspects ,Demographic aspects ,Health aspects - Abstract
OBJECTIVE--Variants downstream of the melanocortin-4 receptor gene (MC4R) have been reported to associate with obesity. We examined rs17782313, rs17700633, rs12970134, rs477181, rs502933, and rs4450508 near MC4R for association with obesity-related quantitative traits, obesity, and type 2 diabetes in Danish individuals. RESEARCH DESIGN AND METHODS--The variants were investigated for association with obesity-related quantitative traits in 5,807 population-based sampled individuals, obesity in 14,940 individuals, and type 2 diabetes in 8,821 individuals. RESULTS--The minor risk alleles of rs17782313, rs17700633, and rs12970134 were associated with BMI (effect per allele 0.25 kg/[m.sup.2], P = 0.01; 0.23, P = 0.01; and 0.31, P = 7 x [10.sup.-4], respectively), waist circumference (0.67 cm, P = 0.006; 0.53, P = 0.02; and 0.85, P = 3 x [10.sup.-4]), and body weight (1.04 kg, P = 6 x [10.sup.-4]; 0.71, P = 0.01; and 1.16, P = 8 x [10.sup.-5]). In case-control studies of obesity defined by BMI, the minor C-allele of rs17782313 was associated with overweight/obesity and obesity (odds ratio [OR] 1.09, P = 0.006 and OR 1.12, P = 0.003, respectively). Similarly, the minor A-allele of rs17700633 was associated with overweight/obesity and obesity (1.12, P = 8 x [10.sup.-5] and 1.16, P = 2 x [10.sup.-5]), and the minor A-allele of rs12970134 was also associated with overweight/obesity and obesity (1.13, P = 2 x [10.sup.-5] and 1.15, P = 6 x [10.sup.-5]). rs477181, rs502933, and rs4450508 were not significantly associated with obesity in the Danish population. The frequency of the minor risk alleles of rs17782313 and rs12970134 was higher among patients with type 2 diabetes than among glucose-tolerant individuals (OR 1.08, P = 0.08 and 1.08, P = 0.06, respectively); however, these borderline associations were abolished after adjustment for BMI. CONCLUSIONS--rs17782313, rs17700633, and rs12970134 near MC4R associate with measures of obesity in Danish individuals., Obesity and the accompanying risk of common diseases such as type 2 diabetes and premature cardiovascular morbidity and mortality are increasing global health burdens. Multiple variations in genes are likely [...]
- Published
- 2009
36. Hyperglucagonemia in Pediatric Adiposity Associates With Cardiometabolic Risk Factors but Not Hyperglycemia
- Author
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Stinson, Sara E, Jonsson, Anna E, de Retana Alzola, Ierai Fernández, Lund, Morten A V, Frithioff-Bøjsøe, Christine, Aas Holm, Louise, Fonvig, Cilius E, Pedersen, Oluf, Ängquist, Lars, Sørensen, Thorkild I A, Holst, Jens J, Christiansen, Michael, Holm, Jens-Christian, Hartmann, Bolette, and Hansen, Torben
- Published
- 2022
- Full Text
- View/download PDF
37. Association testing of novel type 2 diabetes risk alleles in the JAZF1, CDC123/CAMK1D, TSPAN8, THADA, ADAMTS9, and NOTCH2 loci with insulin release, insulin sensitivity, and obesity in a population-based sample of 4,516 glucose-tolerant middle-aged danes
- Author
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Grarup, Niels, Andersen, Gitte, Krarup, Nikolaj T., Albrechtsen, Anders, Schmitz, Ole, Jorgensen, Torben, Borch-Johnsen, Knut, Hansen, Torben, and Pedersen, Oluf
- Subjects
Genetic variation -- Usage -- Health aspects -- Research -- Genetic aspects -- Physiological aspects ,Type 2 diabetes -- Risk factors -- Genetic aspects -- Prevention -- Research ,Diabetics -- Physiological aspects -- Medical examination -- Health aspects -- Usage -- Research ,Health ,Prevention ,Usage ,Physiological aspects ,Medical examination ,Research ,Genetic aspects ,Risk factors ,Health aspects - Abstract
OBJECTIVE--We evaluated the impact on diabetes-related intermediary traits of common novel type 2 diabetes-associated variants in the JAZF1 (rs864745), CDC123/CAMK1D (rs12779790), TSPAN8 (rs7961581), THADA (rs7578597), AD AMTS9 (rs4607103), and NOTCH2 (rs10923931) loci, which were recently identified by meta-analysis of genome-wide association data. RESEARCH DESIGN AND METHODS--We genotyped the six variants in 4,516 middle-aged glucose-tolerant individuals of the population-based Inter99 cohort who were all characterized by an oral glucose tolerance test (OGTT). RESULTS--Homozygous carriers of the minor diabetes risk G-allele of the CDC123/CAMK1D rs12779790 showed an 18% decrease in insulinogenic index (95% CI 10-27%; P = 4 x [10.sup.-5]), an 18% decrease in corrected insulin response (CIR) (8.1-29%; P = 4 x [10.sup.-4]), and a 13% decrease in the ratio of area under the serum-insulin and plasma-glucose curves during an OGTT (AUC-insulin/AUC-glucose) (5.8-20%; P = 4 x [10.sup.-4]). Carriers of the diabetes-associated T-allele of JAZF1 rs864745 had an allele-dependent 3% decrease in BIGTT-AIR (0.9-4.3%; P = 0.003). Furthermore, the diabetes-associated C-allele of TSPAN8 rs7961581 associated with decreased levels of CIR (4.5% [0.5-8.4]; P = 0.03), of AUC-insulin/AUC-glucose ratio (3.9% [1.2-6.7]; P = 0.005), and of the insulinogenic index (5.2% [1.9-8.6]; P = 0.002). No association with traits of insulin release or insulin action was observed for the THADA, ADAMTS9, or NOTCH2 variants. CONCLUSIONS--If replicated, our data suggest that type 2 diabetes at-risk alleles in the JAZF1, CDC123/CAMK1D, and TSPAN8 loci associate with various OGTT-based surrogate measures of insulin release, emphasizing the contribution of abnormal pancreatic β-cell function in the pathogenesis of type 2 diabetes., Recent discoveries using genome-wide association (GWA) studies have led to progression in the understanding of the molecular genetic background of type 2 diabetes, dramatically increasing the number of common validated [...]
- Published
- 2008
38. AHSG tag single nucleotide polymorphisms associate with type 2 diabetes and dyslipidemia: studies of metabolic traits in 7,683 white Danish subjects
- Author
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Andersen, Gitte, Burgdorf, Kristoffer Solvsten, Sparso, Thomas, Borch-Johnsen, Knut, Jorgensen, Torben, Hansen, Torben, and Pedersen, Oluf
- Subjects
Glycoproteins -- Properties -- Health aspects -- Genetic aspects -- Research -- Physiological aspects ,Metabolism -- Genetic aspects -- Health aspects -- Research -- Physiological aspects ,Lipemia -- Research -- Genetic aspects ,Single nucleotide polymorphisms -- Health aspects -- Physiological aspects -- Research -- Genetic aspects ,Type 2 diabetes -- Research -- Genetic aspects ,Danes -- Health aspects -- Genetic aspects -- Physiological aspects -- Research ,Health ,Physiological aspects ,Genetic aspects ,Research ,Properties ,Health aspects - Abstract
OBJECTIVE--The gene encoding the α2 Heremans-Schmid glycoprotein (AHSG) is a credible biological and positional candidate gene for type 2 diabetes and the metabolic syndrome, and previous attempts to relate AHSG variation with type 2 diabetes and obesity in Swedish and French Caucasians have been largely successful. We related seven frequent AHSG tag single nucleotide polymorphisms to a range of metabolic traits, including type 2 diabetes, obesity, and dyslipidemia. RESEARCH DESIGN AND METHODS--The polymorphisms were genotyped in 7,683 white Danish subjects using Taqman allelic discrimination or chip-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, providing a statistical power of >99% to replicate previous findings. Data were analyzed in case-control and haplotype settings, and quantitative metabolic traits were examined for association. Moreover, epistatic effects between AHSG variants and insulin receptor substrate-1 (IRS1) and β-2-adrenergic receptor polymorphisms were investigated. RESULTS--The -469T>G (rs2077119) and IVS6+98C>T (rs2518136) polymorphisms were associated with type 2 diabetes (P = 0.007 and P = 0.006, respectively, or [P.sub.corr] = 0.04 and [P.sub.corr] = 0.03, respectively, following correction for multiple hypothesis testing), and in a combined analysis of the present and a previous study -469T>G remained significant (odds ratio 0.90 [95% CI 0.84-0.97]; P = 0.007). Furthermore, two AHSG haplotypes were associated with dyslipidemia (P = 0.003 and [P.sub.corr] = 0.009). Thr248Met (rs4917) tended to associate with lower fasting and post-oral glucose tolerance test serum insulin release (P = 0.02, [P.sub.corr] = 0.1 for fasting and P = 0.04, [P.sub.corr] = 0.2 for area under the insulin curve) and improved insulin sensitivity estimated by the homeostasis model assessment of insulin resistance (9.0 vs. 8.6 mmol x [1.sup.-1] x [pmol.sup.-1] x [l.sup.-1] ; P = 0.01, [P.sub.corr] = 0.06). Indications of epistatic effects of AHSG variants with the IRS1 Gly971Arg polymorphism were observed for fasting serum triglyceride concentrations. CONCLUSIONS--Based on present and previous findings, common variation in AHSG may contribute to the interindividual variation in metabolic traits., The [α.sub.2] Heremans-Schmid glycoprotein (AHSG) is secreted mainly by the liver and is abundant in plasma. AHSG inhibits insulin-stimulated insulin receptor autophosphorylation, insulin-induced tyrosine phosphorylation of insulin receptor substrate-1 (IRS1), [...]
- Published
- 2008
39. Association of variants in the sterol regulatory element-binding factor 1 (SREBF1) gene with type 2 Diabetes, glycemia, and insulin resistance: a study of 15,734 Danish subjects
- Author
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Grarup, Niels, Stender-Petersen, Kirstine L., Andersson, Ehm A., Jorgensen, Torben, Borch-Johnsen, Knut, Sandbaek, Annelli, Lauritzen, Torsten, Schmitz, Ole, Hansen, Torben, and Pedersen, Oluf
- Subjects
Insulin resistance -- Genetic aspects -- Risk factors ,Sterols -- Health aspects -- Genetic aspects ,Blood sugar -- Genetic aspects -- Health aspects ,Type 2 diabetes -- Genetic aspects -- Risk factors ,Health - Abstract
OBJECTIVE--We evaluated the association of variants in the sterol regulatory element-binding factor 1 gene (SREBF1) with type 2 diabetes. Due to the previous inconclusive quantitative trait associations, we also did studies of intermediate quantitative phenotypes. RESEARCH DESIGN AND METHODS--We genotyped four variants in SREBF1 in the population-based Inter99 cohort (n = 6,070), the Danish ADDITION study (n = 8,662), and in additional type 2 diabetic patients (n = 1,002). The case-control studies involved 2,980 type 2 diabetic patients and 4,522 glucose-tolerant subjects. RESULTS--The minor alleles of rs2297508, rs11868035, and rs1889018 (linkage disequilibrium [R.sup.2] = 0.6-0.8) associated with a modestly increased risk of type 2 diabetes (rs2297508: OR 1.17 [95% CI 1.05-1.30], P = 0.003), which was confirmed in meta-analyses of all published studies (rs2297508 G-allele: 1.08 [1.03-1.14] per allele, P = 0.001). The diabetes-associated alleles also associated strongly with a higher plasma glucose at 30 and 120 rain and serum insulin at 120 min during an oral glucose tolerance test (all P < 0.006) and the minor allele of rs1889018 with a surrogate measure of insulin sensitivity (P = 0.03). Furthermore, the diabetes-associated alleles associated with a modestly increased A1C level in the population-based Inter99 of middle-aged subjects and in the ADDITION study of high-risk individuals (P = 0.006 and P = 0.008, respectively). CONCLUSIONS--We associate sequence variation in SREBF1 with a modestly increased predisposition to type 2 diabetes. In the general population, the diabetes-associated alleles are discreetly associated with hyperglycemia presumably due to decreased insulin sensitivity. Because sterol regulatory element-binding protein-1c is a mediator of insulin action, the findings are consistent with the presence of a yet undefined subtle loss-of-function SREBF1 variant., The sterol regulatory element-binding factor (SREBF1) gene encodes the transcription factors sterol regulatory element-binding protein (SREBP)-1a and -1c by differential transcription start sites (1). SREBP-1a and -1c, and the third [...]
- Published
- 2008
40. A candidate type 2 diabetes polymorphism near the HHEX locus affects acute glucose-stimulated insulin release in European populations: results from the EUGENE2 study
- Author
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Staiger, Harald, Stancakova, Alena, Zilinskaite, Jone, Vanttinen, Markku, Hansen, Torben, Marini, Maria Adelaide, Hammarstedt, Ann, Jansson, Per-Anders, Sesti, Giorgio, Smith, Ulf, Pedersen, Oluf, Laakso, Markku, Stefan, Norbert, Fritsche, Andreas, and Haring, Hans-Ulrich
- Subjects
Homeobox genes -- Analysis -- Genetic aspects ,Homeotic genes -- Analysis -- Genetic aspects ,Single nucleotide polymorphisms -- Analysis -- Genetic aspects ,Type 2 diabetes -- Development and progression -- Genetic aspects ,Health ,Analysis ,Development and progression ,Genetic aspects - Abstract
OBJECTIVE--In recent genome-wide association studies, two single nucleotide polymorphisms (SNPs) near the HHEX locus were shown to be more frequent in type 2 diabetic patients than in control subjects. Based on HHEX's function during embryonic development of the ventral pancreas in mice, we investigated whether these SNPs affect β-cell function in humans. RESEARCH DESIGN AND METHODS--A total of 854 nondiabetic subjects, collected from five European clinical centers, were genotyped for the HHEX SNPs rs1111875 and rs7923837 and thoroughly characterized by an oral glucose tolerance test (OGTT). To assess glucose-stimulated insulin release, a subgroup of 758 subjects underwent an intravenous glucose tolerance test (IVGTT). RESULTS--SNPs rs1111875 and rs7923837 were not associated with anthropometric data (age, weight, height, BMI, body fat, and waist and hip circumference). After adjustment for center, family relationship, sex, age, and BMI, both SNPs were also not associated with glucose and insulin concentrations in the fasting state and during the OGTT or with measures of insulin sensitivity. Furthermore, HHEX SNP rs1111875 was not associated with insulin release during the IVGTT. By contrast, the minor A-allele of HHEX SNP rs7923837 was significantly associated with higher IVGTT-derived first-phase insulin release before and after appropriate adjustment (P = 0.013 and P = 0.014, respectively). CONCLUSIONS--A common genetic variation in the 3'-flanking region of the HHEX locus, i.e., SNP rs7923837, is associated with altered glucose-stimulated insulin release. This SNP's major allele represents a risk allele for β-cell dysfunction and, thus, might confer increased susceptibility of β-cells toward adverse environmental factors. Diabetes 57:514-517, 2008, Type 2 diabetes is the most prevalent metabolic disease of the Western industrialized world. It is generally agreed that type 2 diabetes is caused by environmental factors, such as high-caloric [...]
- Published
- 2008
41. High prevalence of type 2 diabetes and pre-diabetes in adult offspring of women with gestational diabetes mellitus or type 1 diabetes: the role of intrauterine hyperglycemia
- Author
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Clausen, Tine D., Mathiesen, Elisabeth R., Hansen, Torben, Pedersen, Oluf, Jensen, Dorte M., Lauenborg, Jeannet, and Damm, Peter
- Subjects
Maternal-fetal exchange -- Health aspects ,Diabetes in pregnancy -- Complications and side effects -- Risk factors ,Prediabetic state -- Risk factors -- Complications and side effects ,Health ,Complications and side effects ,Risk factors ,Health aspects - Abstract
OBJECTIVE--The role of intrauterine hyperglycemia and future risk of type 2 diabetes in human offspring is debated. We studied glucose tolerance in adult offspring of women with either gestational diabetes [...]
- Published
- 2008
42. Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation
- Author
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Andreasen, Camilla H., Stender-Petersen, Kirstine L., Mogensen, Mette S., Torekov, Signe S., Wegner, Lise, Andersen, Gitte, Nielsen, Arne L., Albrechtsen, Anders, Borch-Johnsen, Knut, Rasmussen, Signe S., Clausen, Jesper O., Sandbaek, Annelli, Lauritzen, Torsten, Hansen, Lars, Jorgensen, Torben, Pedersen, Oluf, and Hansen, Torben
- Subjects
Exercise -- Physiological aspects -- Research ,Gene expression -- Physiological aspects -- Research -- Genetic aspects ,Obesity -- Genetic aspects -- Complications and side effects -- Risk factors -- Research ,Cardiovascular diseases -- Risk factors -- Genetic aspects -- Research -- Complications and side effects ,Type 2 diabetes -- Risk factors -- Complications and side effects -- Research -- Genetic aspects ,Health ,Physiological aspects ,Complications and side effects ,Research ,Genetic aspects ,Risk factors - Abstract
OBJECTIVE--Three independent studies have shown that variation in the fat mass and obesity-associated (FTO) gene associates with BMI and obesity. In the present study, the effect of FTO variation on [...]
- Published
- 2008
43. Author Correction: Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes
- Author
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Bradfeld, Jonathan P., Kember, Rachel L., Ulrich, Anna, Balkhiyarova, Zhanna, Alyass, Akram, Aris, Izzuddin M., Bell, Joshua A., Broadaway, K. Alaine, Chen, Zhanghua, Chai, Jin-Fang, Davies, Neil M., Fernandez-Orth, Dietmar, Bustamante, Mariona, Fore, Ruby, Ganguli, Amitavo, Heiskala, Anni, Hottenga, Jouke-Jan, Íñiguez, Carmen, Kobes, Sayuko, Leinonen, Jaakko, Lowry, Estelle, Lyytikainen, Leo-Pekka, Mahajan, Anubha, Pitkänen, Niina, Schnurr, Theresia M., Have, Christian Theil, Strachan, David P., Thiering, Elisabeth, Vogelezang, Suzanne, Wade, Kaitlin H., Wang, Carol A., Wong, Andrew, Holm, Louise Aas, Chesi, Alessandra, Choong, Catherine, Cruz, Miguel, Elliott, Paul, Franks, Steve, Frithiof-Bøjsøe, Christine, Gauderman, W. James, Glessner, Joseph T., Gilsanz, Vicente, Griesman, Kendra, Hanson, Robert L., Kaakinen, Marika, Kalkwarf, Heidi, Kelly, Andrea, Kindler, Joseph, Kähönen, Mika, Lanca, Carla, Lappe, Joan, Lee, Nanette R., McCormack, Shana, Mentch, Frank D., Mitchell, Jonathan A., Mononen, Nina, Niinikoski, Harri, Oken, Emily, Pahkala, Katja, Sim, Xueling, Teo, Yik-Ying, Baier, Leslie J., van Beijsterveldt, Toos, Adair, Linda S., Boomsma, Dorret I., de Geus, Eco, Guxens, Mònica, Eriksson, Johan G., Felix, Janine F., Gilliland, Frank D., Hansen, Torben, Hardy, Rebecca, Hivert, Marie-France, Holm, Jens-Christian, Jaddoe, Vincent W. V., Järvelin, Marjo-Riitta, Lehtimäki, Terho, Mackey, David A., Meyre, David, Mohlke, Karen L., Mykkänen, Juha, Oberfeld, Sharon, Pennell, Craig E., Perry, John R. B., Raitakari, Olli, Rivadeneira, Fernando, Saw, Seang-Mei, Sebert, Sylvain, Shepherd, John A., Standl, Marie, Sørensen, Thorkild I. A., Timpson, Nicholas J., Torrent, Maties, Willemsen, Gonneke, Hypponen, Elina, Power, Chris, McCarthy, Mark I., Freathy, Rachel M., Widén, Elisabeth, Hakonarson, Hakon, Prokopenko, Inga, Voight, Benjamin F., Zemel, Babette S., Grant, Struan F. A., and Cousminer, Diana L.
- Published
- 2024
- Full Text
- View/download PDF
44. Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes
- Author
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Bradfield, Jonathan P., Kember, Rachel L., Ulrich, Anna, Balkhiyarova, Zhanna, Alyass, Akram, Aris, Izzuddin M., Bell, Joshua A., Broadaway, K. Alaine, Chen, Zhanghua, Chai, Jin-Fang, Davies, Neil M., Fernandez-Orth, Dietmar, Bustamante, Mariona, Fore, Ruby, Ganguli, Amitavo, Heiskala, Anni, Hottenga, Jouke-Jan, Íñiguez, Carmen, Kobes, Sayuko, Leinonen, Jaakko, Lowry, Estelle, Lyytikainen, Leo-Pekka, Mahajan, Anubha, Pitkänen, Niina, Schnurr, Theresia M., Have, Christian Theil, Strachan, David P., Thiering, Elisabeth, Vogelezang, Suzanne, Wade, Kaitlin H., Wang, Carol A., Wong, Andrew, Holm, Louise Aas, Chesi, Alessandra, Choong, Catherine, Cruz, Miguel, Elliott, Paul, Franks, Steve, Frithioff-Bøjsøe, Christine, Gauderman, W. James, Glessner, Joseph T., Gilsanz, Vicente, Griesman, Kendra, Hanson, Robert L., Kaakinen, Marika, Kalkwarf, Heidi, Kelly, Andrea, Kindler, Joseph, Kähönen, Mika, Lanca, Carla, Lappe, Joan, Lee, Nanette R., McCormack, Shana, Mentch, Frank D., Mitchell, Jonathan A., Mononen, Nina, Niinikoski, Harri, Oken, Emily, Pahkala, Katja, Sim, Xueling, Teo, Yik-Ying, Baier, Leslie J., van Beijsterveldt, Toos, Adair, Linda S., Boomsma, Dorret I., de Geus, Eco, Guxens, Mònica, Eriksson, Johan G., Felix, Janine F., Gilliland, Frank D., Biobank, Penn Medicine, Hansen, Torben, Hardy, Rebecca, Hivert, Marie-France, Holm, Jens-Christian, Jaddoe, Vincent W. V., Järvelin, Marjo-Riitta, Lehtimäki, Terho, Mackey, David A., Meyre, David, Mohlke, Karen L., Mykkänen, Juha, Oberfield, Sharon, Pennell, Craig E., Perry, John R. B., Raitakari, Olli, Rivadeneira, Fernando, Saw, Seang-Mei, Sebert, Sylvain, Shepherd, John A., Standl, Marie, Sørensen, Thorkild I. A., Timpson, Nicholas J., Torrent, Maties, Willemsen, Gonneke, Hypponen, Elina, Power, Chris, McCarthy, Mark I., Freathy, Rachel M., Widén, Elisabeth, Hakonarson, Hakon, Prokopenko, Inga, Voight, Benjamin F., Zemel, Babette S., Grant, Struan F. A., and Cousminer, Diana L.
- Abstract
Background: Pubertal growth patterns correlate with future health outcomes. However, the genetic mechanisms mediating growth trajectories remain largely unknown. Here, we modeled longitudinal height growth with Super-Imposition by Translation And Rotation (SITAR) growth curve analysis on ~ 56,000 trans-ancestry samples with repeated height measurements from age 5 years to adulthood. We performed genetic analysis on six phenotypes representing the magnitude, timing, and intensity of the pubertal growth spurt. To investigate the lifelong impact of genetic variants associated with pubertal growth trajectories, we performed genetic correlation analyses and phenome-wide association studies in the Penn Medicine BioBank and the UK Biobank. Results: Large-scale growth modeling enables an unprecedented view of adolescent growth across contemporary and 20th-century pediatric cohorts. We identify 26 genome-wide significant loci and leverage trans-ancestry data to perform fine-mapping. Our data reveals genetic relationships between pediatric height growth and health across the life course, with different growth trajectories correlated with different outcomes. For instance, a faster tempo of pubertal growth correlates with higher bone mineral density, HOMA-IR, fasting insulin, type 2 diabetes, and lung cancer, whereas being taller at early puberty, taller across puberty, and having quicker pubertal growth were associated with higher risk for atrial fibrillation. Conclusion: We report novel genetic associations with the tempo of pubertal growth and find that genetic determinants of growth are correlated with reproductive, glycemic, respiratory, and cardiac traits in adulthood. These results aid in identifying specific growth trajectories impacting lifelong health and show that there may not be a single “optimal” pubertal growth pattern.
- Published
- 2024
- Full Text
- View/download PDF
45. Studies of association of variants near the HHEX, CDKN2A/B, and IGF2BP2 genes with type 2 diabetes and impaired insulin release in 10,705 Danish subjects: validation and extension of genome-wide association studies
- Author
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Grarup, Niels, Rose, Chrisian S., Andersson, Ehm A., Andersen, Gitte, Nielsen, Arne L., Albrechtsen, Anders, Clausen, Jesper O., Rasmussen, Signe S., Jorgensen, Torben, Sandbaek, Annelli, Lauritzen, Torsten, Schmitz, Ole, Hansen, Torben, and Pedersen, Oluf
- Subjects
Genetic variation -- Health aspects -- Research -- Genetic aspects ,Type 2 diabetes -- Genetic aspects -- Research ,Health ,Research ,Genetic aspects ,Health aspects - Abstract
OBJECTIVE--In the present study, we aimed to validate the type 2 diabetes susceptibility alleles identified in six recent genome-wide association studies in the HHEX/KIF11/IDE (rs1111875), CDKN2A/B (rs10811661), and IGF2BP2 (rs4402960) [...]
- Published
- 2007
46. Common variation in LMNA increases susceptibility to type 2 diabetes and associates with elevated fasting glycemia and estimates of body fat and height in the general population: studies of 7,495 Danish Whites
- Author
-
Wegner, Lise, Andersen, Gitte, Sparso, Thomas, Grarup, Niels, Glumer, Charlotte, Borch-Johnsen, Knut, Jorgensen, Torben, Hansen, Torben, and Pedersen, Oluf
- Subjects
DNA replication -- Research -- Genetic aspects ,Type 2 diabetes -- Genetic aspects -- Research ,Health ,Research ,Genetic aspects - Abstract
Mutations in LMNA encoding lamin A and C proteins cause monogenic syndromes characterized by muscular dystrophy and familial partial lipodystrophy. Eight tag single nucleotide polymorphisms in the LMNA locus were genotyped in 7,495 Danish whites and related to metabolic and anthropometric traits. The minor T-allele of rs4641 was nominally associated with type 2 diabetes (odds ratio 1.14 [95% CI 1.03-1.26], P = 0.01) in a study of 1,324 type 2 diabetic patients and 4,386 glucose-tolerant subjects and with elevated fasting plasma glucose levels in a population-based study of 5,395 middle-aged individuals (P = 0.008). The minor T-allele of rs955383 showed nominal association with obesity in a study of 5,693 treatment-naive subjects (1.25 [1.07-1.64], P = 0.01), and after dichotomization of waist circumference, the minor alleles of rs955383 and rs11578696 were nominally associated with increased waist circumference (1.14 [1.04-1.23], P = 0.003; 1.12 [1.00-1.25], P = 0.04). The minor G-allele of rs577492 was associated with elevated fasting serum cholesterol and short stature (P = 3.0 x [10.sup.-5] and P = 7.0 x [10.sup.-4]). The findings axe not corrected for multiple comparisons and are by nature exploratory. However, if replicated, these findings suggest that less severe variation in a gene locus known to harbor severe mutations causing monogenic syndromes may modestly increase susceptibility to common metabolic and anthropometrical phenotypes of polygenic origin., LMNA encodes lamin A and C proteins, which are components of the nuclear lamina. This protein network is involved in DNA replication, chromatin organization, nuclear growth, spatial arrangement of nuclear [...]
- Published
- 2007
47. The BIGTT test: a novel test for simultaneous measurement of pancreatic β-cell function, insulin sensitivity, and glucose tolerance
- Author
-
Hansen, Torben, Drivsholm, Thomas, Urhammer, Soren A., Palacios, Rene T., Volund, Aage, Borch-Johnsen, Knut, and Pedersen, Oluf
- Subjects
Glucose tolerance tests -- Research ,Pancreatic beta cells -- Research ,Type 2 diabetes -- Diagnosis -- Care and treatment -- Research ,Health ,Diagnosis ,Care and treatment ,Research - Abstract
OBJECTIVE--Insulin resistance and impaired β-cell function are key elements in the pathogenesis of type 2 diabetes. We aimed to develop valid algorithms for estimation of the insulin sensitivity index ([S.sub.1]) [...]
- Published
- 2007
48. The HADHSC gene encoding short-chain L-3-hydroxyacyl-CoA dehydrogenase (SCHAD) and type 2 diabetes susceptibility: the DAMAGE study
- Author
-
van Hove, Els C., Hansen, Torben, Dekker, Jacqueline M., Reiling, Erwin, Nijpels, Giel, Jorgensen, Torben, Borch-Johnsen, Knut, Hamid, Yasmin H., Heine, Robert J., Pedersen, Oluf, Maassen, J. Antonie, and t Hart, Leen M.
- Subjects
Genetic code -- Health aspects -- Genetic aspects ,Type 2 diabetes -- Genetic aspects ,Health ,Genetic aspects ,Health aspects - Abstract
The short-chain L-3-hydroxyacyl-CoA dehydrogenase (SCHAD) protein is involved in the penultimate step of mitochondrial fatty acid oxidation. Previously, it has been shown that mutations in the corresponding gene (HADHSC) are [...]
- Published
- 2006
49. IL6 gene promoter polymorphisms and type 2 diabetes: joint analysis of individual participants' data from 21 studies
- Author
-
Huth, Cornelia, Heid, Iris M., Vollmert, Caren, Gieger, Christian, Grallert, Harald, Wolford, Johanna K., Langer, Birgit, Thorand, Barbara, Klopp, Norman, Hamid, Yasmin H., Pedersen, Oluf, Hansen, Torben, Lyssenko, Valeriya, Groop, Leif, Meisinger, Christa, Doring, Angela, Lowel, Hannelore, Lieb, Wolfgang, Hengstenberg, Christian, Rathmann, Wolfgang, Martin, Stephan, Stephens, Jeffrey W., Ireland, Helen, Mather, Hugh, Miller, George J., Stringham, Heather M., Boehnke, Michael, Tuomilehto, Jaakko, Boeing, Heiner, Mohlig, Matthias, Spranger, Joachim, Pfeiffer, Andreas, Wernstedt, Ingrid, Niklason, Anders, Lopez-Bermejo, Abel, Fernandez-Real, Jose-Manuel, Hanson, Robert L., Gallart, Luis, Vendrell, Joan, Tsiavou, Anastasia, Hatziagelaki, Erifili, Humphries, Steve E., Wichmann, H.-Erich, Herder, Christian, and Illig, Thomas
- Subjects
Interleukin-6 -- Genetic aspects -- Research ,Genetic polymorphisms -- Research -- Genetic aspects ,Type 2 diabetes -- Genetic aspects -- Risk factors -- Research ,Health ,Genetic aspects ,Research ,Risk factors - Abstract
Several lines of evidence indicate a causal role of the cytokine interleukin (IL)-6 in the development of type 2 diabetes in humans. Two common polymorphisms in the promoter of the IL-6 encoding gene IL6, -174G>C (rs1800795) and -573G>C (rs1800796), have been investigated for association with type 2 diabetes in numerous studies but with results that have been largely equivocal. To clarify the relationship between the two IL6 variants and type 2 diabetes, we analyzed individual data on >20,000 participants from 21 published and unpublished studies. Collected data represent eight different countries, making this the largest association analysis for type 2 diabetes reported to date. The GC and CC genotypes of IL6 -174G>C were associated with a decreased risk of type 2 diabetes (odds ratio 0.91, P = 0.037), corresponding to a risk modification of nearly 9%. No evidence for association was found between IL6 -573G>C and type 2 diabetes. The observed association of the IL6 -174 C-allele with a reduced risk of type 2 diabetes provides further evidence for the hypothesis that immune mediators are causally related to type 2 diabetes; however, because the association is borderline significant, additional data are still needed to confirm this finding., Recent studies have investigated the role of variants within genes encoding immune-related markers in mediating increased type 2 diabetes risk. One of the most widely studied immune genes is the [...]
- Published
- 2006
50. A novel--192c/g mutation in the proximal P2 promoter of the hepatocyte nuclear factor-4α gene (HNF4A) associates with late-onset diabetes
- Author
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Ek, Jakob, Hansen, Sara P., Lajer, Maria, Nicot, Carine, Boesgaard, Trine W., Pruhova, Stepanka, Johansen, Anders, Albrechtsen, Anders, Yderstraede, Knud, Lauenborg, Jeannet, Parrizas, Marcelina, Boj, Sylvia F., Jorgensen, Torben, Borch-Johnsen, Knut, Damm, Peter, Ferrer, Jorge, Lebl, Jan, Pedersen, Oluf, and Hansen, Torben
- Subjects
Liver cells -- Research -- Genetic aspects ,Single nucleotide polymorphisms -- Research -- Genetic aspects ,Type 2 diabetes -- Genetic aspects -- Research ,Health ,Research ,Genetic aspects - Abstract
Recently, it has been shown that mutations in the P2 promoter of the hepatocyte nuclear factor (HNF)-4α gene (HNF4A) cause maturity-onset diabetes of the young (MODY), while single nucleotide polymorphisms in this locus are associated with type 2 diabetes. In this study, we examined 1,189 bp of the P2 promoter and the associated exon 1D of HNF4A for variations associated with diabetes in 114 patients with type 2 diabetes, 72 MODYX probands, and 85 women with previous gestational diabetes mellitus. A -192c/g mutation was found in five patients. We screened 1,587 diabetic subjects and 4,812 glucose-tolerant subjects for the -192c/g mutation and identified 5 diabetic and 1 glucose-tolerant mutation carriers (P = 0.004). Examination of the families showed that carriers of the -192c/g mutation had a significantly impaired glucose-stimulated insulin release and lower levels of serum total cholesterol compared with matched control subjects. Furthermore, the mutation disrupted the binding of an unidentiffed sequence-specific DNA binding complex present in human islet extracts. Also, two novel linked polymorphisms in the P2 promoter at positions -1107g/t and -858c/t were identified. These variants were not significantly associated with type 2 diabetes or any pre-diabetic traits. In conclusion, a rare, novel mutation that disrupts a protein binding site in the pancreatic HNF4A promoter associates with late-onset diabetes., Mutations in the coding region and the P2 promoter of the hepatocyte nuclear factor (HNF)-4α gene (HNF4A) cause maturity-onset diabetes of the young (MODY) (1-3). Interestingly, studies in Caucasian populations [...]
- Published
- 2006
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