• Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors 

      Thibord, Florian; Klarin, Derek; Brody, Jennifer A.; Chen, Ming-Huei; Levin, Michael G.; Chasman, Daniel I.; Goode, Ellen L.; Hveem, Kristian; Teder-Laving, Maris; Martinez-Perez, Angel; Aïssi, Dylan; Daian-Bacq, Delphine; Ito, Kaoru; Natarajan, Pradeep; Lutsey, Pamela L.; Nadkarni, Girish N.; de Vries, Paul S.; Cuellar-Partida, Gabriel; Wolford, Brooke N.; Pattee, Jack W.; Kooperberg, Charles; Brækkan, Sigrid Kufaas; Li-Gao, Ruifang; Saut, Noemie; Sept, Corriene; Germain, Marine; Judy, Renae L.; Wiggins, Kerri L.; Ko, Darae; O'Donnell, Christopher J.; Taylor, Kent D.; Giulianini, Franco; De Andrade, Mariza; Nøst, Therese Haugdahl; Boland, Anne; Empana, Jean-Philippe; Koyama, Satoshi; Gilliland, Thomas; Do, Ron; Huffman, Jennifer E.; Wang, Xin; Zhou, Wei; Manuel Soria, Jose; Carlos Souto, Juan; Pankratz, Nathan; Haessler, Jeffery; Hindberg, Kristian Dalsbø; Rosendaal, Frits R; Turman, Constance; Olaso, Robert; Kember, Rachel L.; Bartz, Traci M.; Lynch, Julie A.; Heckbert, Susan R.; Armasu, Sebastian M.; Brumpton, Ben Michael; Smadja, David M.; Jouven, Xavier; Komuro, Issei; Clapham, Katharine R.; Loos, Ruth J F; Willer, Cristen J.; Sabater-Lleal, Maria; Pankow, James S.; Reiner, Alexander P.; Morelli, Vania Maris; Ridker, Paul M.; Vlieg, Astrid van Hylckama; Deleuze, Jean-François; Kraft, Peter; Rader, Daniel J.; Psaty, Bruce M.; Skogholt, Anne Heidi; Emmerich, Joseph; Suchon, Pierre; Rich, Stephen S.; Vy, Ha My T; Tang, Weihong; Jackson, Rebecca D.; Hansen, John Bjarne; Morange, Pierre-Emmanuel; Kabrhel, Christopher; Trégouët, David-Alexandre; Damrauer, Scott M.; Johnson, Andrew D.; Smith, Nicholas L. (Journal article; Tidsskriftartikkel, 2022)
      <p><i>Background:</i> Venous thromboembolism (VTE) is a life-threatening vascular event with environmental and genetic determinants. Recent VTE genome-wide association studies (GWAS) meta-analyses involved nearly 30 000 VTE cases and identified up to 40 genetic loci associated with VTE risk, including loci not previously suspected to play a role in hemostasis. The aim of our research was to expand ...
    • Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP 

      Matsushita, Kunihiro; Kaptoge, Stephen; Hageman, Steven H J; Sang, Yingying; Ballew, Shoshana H.; Grams, Morgan E.; Surapaneni, Aditya; Sun, Luanluan; Arnlov, Johan; Bozic, Milica; Brenner, Hermann; Brunskill, Nigel J.; Chang, Alex R.; Chinnadurai, Rajkumar; Cirillo, Massimo; Correa, Adolfo; Ebert, Natalie; Eckardt, Kai-Uwe; Gansevoort, Ron T.; Gutierrez, Orlando; Hadaegh, Farzad; He, Jiang; Hwang, Shih-Jen; Jafar, Tazeen H.; Jassal, Simerjot K.; Kayama, Takamasa; Kovesdy, Csaba P.; Landman, Gijs W.; Levey, Andrew S.; Lloyd-Jones, Donald M.; Major, Rupert W.; Miura, Katsuyuki; Muntner, Paul; Nadkarni, Girish N.; Nowak, Christoph; Ohkubo, Takayoshi; Pena, Michelle J.; Polkinghorne, Kevan R.; Sairenchi, Toshimi; Schaeffner, Elke; Schneider, Markus P.; Shalev, Varda; Shlipak, Michael G.; Solbu, Marit Dahl; Stempniewicz, Nikita; Tollitt, James; Valdivielso, José M; van der Leeuw, Joep; Wang, Angela Yee-Moon; Wen, Chi-Pang; Woodward, Mark; Yamagishi, Kazumasa; Yatsuya, Hiroshi; Zhang, Luxia; Dorresteijn, Jannick A N; Di Angelantonio, Emanuele; Visseren, Frank L J; Pennells, Lisa; Coresh, Josef (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-16)
      Aims - The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, systemic coronary risk estimation 2 (SCORE2) and systemic ...
    • Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets 

      Matsushita, K; Jassal, Simerjot; Solbu, Marit Dahl; Sang, Yingying; Ballew, Shoshana H.; Grams, Morgan E.; Surapaneni, Aditya; Arnlov, Johan; Bansal, Nisha; Bozic, Milica; Brenner, Hermann; Brunskill, Nigel J.; Chang, Alex R.; Chinnadurai, Rajkumar; Cirillo, Massimo; Correa, Adolfo; Ebert, Natalie; Eckardt, Kai-Uwe; Gansevoort, Ron T.; Gutierrez, Orlando; Hadaegh, Farzad; He, Jiang; Hwang, Shih-Jen; Jafar, Tazeen H.; Kayama, Takamasa; Kovesdy, Csaba P.; Landman, Gijs W.; Levey, Andrew S.; Lloyd-Jones, Donald M.; Major, Rupert W.; Miura, Katsuyuki; Muntner, Paul; Nadkarni, Girish N.; Naimark, David M.J.; Nowak, Christoph; Ohkubo, Takayoshi; Pena, Michelle J.; Polkinghorne, Kevan R.; Sabanayagam, Charumathi; Sairenchi, Toshimi; Schneider, Markus P.; Shalev, Varda; Shlipak, Michael; Stempniewicz, Nikita; Tollitt, James; Valdivielso, José M.; van der Leeuw, Joep; Wang, Angela Yee-Moon; Wen, Chi-Pang; Woodward, Mark; Yatsuya, Hiroshi; Zhang, Luxia; Schaeffner, Elke; Coresh, Josef (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-04)
      Background: Chronic kidney disease (CKD) measures (estimated glomerular filtration rate [eGFR] and albuminuria) are frequently assessed in clinical practice and improve the prediction of incident cardiovascular disease (CVD), yet most major clinical guidelines do not have a standardized approach for incorporating these measures into CVD risk prediction. “CKD Patch” is a validated method to calibrate ...