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    • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis 

      Wheeler, Eleanor; Leong, Aaron; Liu, Ching-Ti; Hivert, Marie-France; Strawbridge, Rona J.; Podmore, Clara; Li, Man; Yao, Jie; Sim, Xueling; Hong, Jaeyoung; Chu, Audrey Y.; Zhang, Weihua; Wang, Xu; Chen, Peng; Maruthur, Nisa M.; Porneala, Bianca C.; Sharp, Stephen J.; Jia, Yucheng; Kabagambe, Edmond Kato; Chang, Li-Ching; Chen, Wei-Min; Elks, Cathy E.; Evans, Daniel S.; Fan, Qiao; Giulianini, Franco; Go, Min Jin; Hottenga, Jouke-Jan; Hu, Yao; Jackson, Anne U.; Kanoni, Stavroula; Kim, Young Jin; Kleber, Marcus E.; Ladenvall, Claes; Lecoeur, Cecile; Lim, Sing-Hui; Lu, Yingchang; Mahajan, Anubha; Marzi, Carola; Nalls, Mike A.; Navarro, Pau; Nolte, Ilja M.; Rose, Lynda M.; Rybin, Denis V.; Sanna, Serena; Shi, Yuan; Stram, Daniel O.; Takeuchi, Fumihiko; Tan, Shu Pei; van der Most, Peter J.; Van Vliet-Ostaptchouk, Jana V.; Wong, Andrew; Yengo, Loic; Zhao, Wanting; Goel, Anuj; Martinez Larrad, Maria Teresa; Radke, Dörte; Salo, Perttu; Tanaka, Toshiko; van Iperen, Erik P.A.; Abecasis, Goncalo; Afaq, Saima; Alizadeh, Behrooz Z.; Bertoni, Alain G.; Bonnefond, Amelie; Böttcher, Yvonne; Bottinger, Erwin P.; Campbell, Harry; Carlson, Olga D.; Chen, Chien-Hsiun; Cho, Yoon Shin; Garvey, W. Timothy; Gieger, Christian; Goodarzi, Mark O.; Grallert, Harald; Hamsten, Anders; Hartman, Catharina A.; Herder, Christian; Hsiung, Chao Agnes; Huang, Jie; Igase, Michiya; Isono, Masato; Katsuya, Tomohiro; Khor, Chiea-Chuen; Kiess, Wieland; Kohara, Katsuhiko; Kovacs, Peter; Lee, Juyoung; Lee, Wen-Jane; Lehne, Benjamin; Li, Huaixing; Liu, Jianjun; Lobbens, Stephane; Luan, Jian'an; Lyssenko, Valeriya; Meitinger, Thomas; Miki, Tetsuro; Miljkovic, Iva; Moon, Sanghoon; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Nagaraja, Ramaiah; Nauck, Matthias; Pankow, James S.; Polasek, Ozren; Prokopenko, Inga; Ramos, Paula S.; Rasmussen-Torvik, Laura; Rathmann, Wolfgang; Rich, Stephen S.; Robertson, Neil R.; Roden, Michael; Roussel, Ronan; Rudan, Igor; Scott, Robert A.; Scott, William R.; Sennblad, Bengt; Siscovick, David S.; Strauch, Konstantin; Sun, Liang; Swertz, Morris; Tajuddin, Salman M.; Taylor, Kent D.; Teo, Yik-Ying; Tham, Yih Chung; Tönjes, Anke; Wareham, Nicholas J.; Willemsen, Gonneke; Wilsgaard, Tom; Hingorani, Aroon D.; Egan, Josephine; Ferrucci, Luigi; Hovingh, G. Kees; Jula, Antti; Kivimäki, Mika; Kumari, Meena; Njølstad, Inger; Palmer, Colin N.A.; Serrano Rios, Manuel; Stumvoll, Michael; Watkins, Hugh; Aung, Tin; Blüher, Matthias; Boehnke, Michael; Boomsma, Dorret I.; Bornstein, Stefan R.; Chambers, John C.; Chasman, Daniel I.; Chen, Yii-Der Ida; Chen, Yduan-Tsong; Cheng, Ching-Yu; Cucca, Francesco; de Geus, Eco J.C.; Deloukas, Panos; Evans, Michele K.; Fornage, Myriam; Friedlander, Yechiel; Froguel, Philippe; Groop, Leif; Gross, Myron D.; Harris, Tamara B.; Hayward, Caroline; Heng, Chew-Kiat; Ingelsson, Erik; Kato, Norihiro; Kim, Bong-Jo; Koh, Woon-Puay; Kooner, Jaspal S.; Korner, Antje; Kuh, Diana; Kuusisto, Johanna; Laakso, Markku; Lin, Xu; Liu, Yongmei; Loos, Ruth J.F.; Magnusson, Patrik K.E.; März, Winfried; McCarthy, Mark I.; Oldehinkel, Albertine J.; Ong, Ken K.; Pedersen, Nancy L.; Pereira, Mark A.; Peters, Annette; Ridker, Paul M.; Sabanayagam, Charumathi; Sale, Michele; Saleheen, Danish; Saltevo, Juha; Schwarz, Peter E.H.; Sheu, Wayne H.-H.; Snieder, Harold; Spector, Timothy D.; Tabara, Yasuharu; Tuomilehto, Jaakko; Van Dam, Rob M.; Wilson, James G; Wilson, James F.; Wolffenbuttel, Bruce H.R.; Wong, Tien Yin; Wu, Jer-Yuarn; Yuan, Jian-Min; Zonderman, Alan B.; Soranzo, Nicole; Guo, Xiuqing; Florez, Jose C.; Sladek, Robert; Dupuis, Josée; Morris, Andrew P.; Tai, E-Shyong; Selvin, Elizabeth; Rotter, Jerome I.; Langenberg, Claudia; Barroso, Inês; Meigs, James B. (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-12)
      <b>Background:</b> <br> Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or ...

    • Use of repeated blood pressure and cholesterol measurements to improve cardiovascular disease risk prediction: an individual-participant-data meta-analysis 

      Paige, Ellie; Barrett, Jessica; Pennells, Lisa; Sweeting, Michael; Willeit, Peter; Di Angelantonio, Emanuele; Gudnason, Vilmundur; Nordestgaard, Børge G.; Psaty, Bruce M.; Goldbourt, Uri; Best, Lyle G.; Assmann, Gerd; Salonen, Jukka T.; Nietert, Paul J.; Verschuren, W.M. Monique; Brunner, Eric J.; Kronmal, Richard A.; Salomaa, Veikko; Bakker, Stephan J.L.; Dagenais, Gilles R.; Sato, Shinichi; Jansson, Jan-Håkan; Willeit, Johann; Onat, Altan; De La Cámara, Agustin Gómez; Roussel, Ronan; Völzke, Henry; Dankner, Rachel; Tipping, Robert W.; Meade, Tom W.; Donfrancesco, Chiara; Kuller, Lewis H.; Peters, Annette; Gallacher, John; Kromhout, Daan; Iso, Hiroyasu; Knuiman, Matthew; Casiglia, Edoardo; Kavousi, Maryam; Palmieri, Luigi; Sundström, Johan; Davis, Barry R.; Njølstad, Inger; Couper, David; Danesh, John; Thompson, Simon G.; Wood, Angela (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-06-13)
      The added value of incorporating information from repeated blood pressure and cholesterol measurements to predict cardiovascular disease (CVD) risk has not been rigorously assessed. We used data on 191,445 adults from the Emerging Risk Factors Collaboration (38 cohorts from 17 countries with data encompassing 1962–2014) with more than 1 million measurements of systolic blood pressure, total ...