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  4. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study
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PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Journal
The Lancet Diabetes and Endocrinology
Date Issued
February 1, 2017
Author(s)
Schmidt, Amand F.  
Swerdlow, Daniel I.  
Holmes, Michael Vaclav  
Patel, Riyaz Suleman  
Fairhurst-Hunter, Zammy  
Lyall, Donald M.  
Hartwig, Fernando Pires  
Horta, Bernardo Lessa  
Hyppönen, Elina  
Power, Chris  
Moldovan, Max V.  
Lind, Lars  
Ingelsson, Erik  
Pazoki, Raha  
Franco, Oscar H.  
Hofman, Albert  
Uitterlinden, André G.  
Dehghan, Abbas  
Teumer, Alexander  
Baumeister, Sebastian Edgar  
Pell, Jill P.  
Mahajan, Anubha  
Dörr, Marcus  
Lerch, Markus M.  
Völker, Uwe U.  
Smith, Daniel J.  
Meade, Tom W.  
Maitland-van Der Zee, Anke Hilse  
Baranova, Ekaterina V.  
Young, Robin  
Ford, Ian  
Campbell, Archie  
Ridker, Paul M.  
Van Iperen, Erik P.A  
Padmanabhan, Sandosh  
Bots, Michiel L.  
Grobbee, Diederick E.  
Froguel, Philippe H.  
Thuillier, Dorothée  
Balkau, Beverley J.  
Bonnefond, Amélie  
Cariou, Bertrand  
Smart, Melissa C.  
Chasman, Daniel I.  
Bao, Yanchun  
Hovingh, Gerald Kees  
Kumari, Meena  
Reiner, Alexander Paul  
Lange, Leslie A.  
Ritchie, Marylyn D.  
Asselbergs, Folkert W.  
Casas, Juan Pablo  
Keating, Brendan J.  
Demuth, Ilja  
Marques-Vidal, Pedro  
Preiss, David J.  
Hingorani, Aroon D.  
Sattar, Naveed A.  
Norman, Kristina  
Steinhagen-Thiessen, Elisabeth  
Demuth, Juri  
Bertram, Lars  
Liu, Tian  
Coassin, Stefan  
Willeit, Johann  
Nicolaides, Andrew N.  
Kiechl, Stefan  
Willeit, Karin  
Mason, Dan  
Wright, John P.  
Morris, Richard W.  
Wanamethee, Goya  
Whincup, Peter Hynes  
Ben-Shlomo, Yoav  
McLachlan, Stela  
Price, Jackie F.  
Panayiotou, Andrie G.  
Kivimaki, Mika  
Welch, Catherine A.  
Sanchez-Galvez, Adelaida  
Onland-Moret, N. Charlotte  
Van der Schouw, Y. T.  
Matullo, Giuseppe  
Fiorito, Giovanni  
Guarrera, Simonetta  
Sacerdote, Carlotta  
Wareham, Nicholas J.J.  
Larson, Eric B.  
Langenberg, Claudia  
Scott, Robert A.  
Luan, Jian'an  
Bobak, Martin  
Malyutina, Sofia  
Pająk, Andrzej  
Kubinova, Růžena  
Tamosiunas, Abdonas  
Pikhart, Hynek  
Husemoen, Lise Lotte Nystrup  
Crosslin, David R.  
Grarup, Niels  
Pedersen, Oluf Borbye Orbye  
Hansen, Torben Froestrup  
Linneberg, Allan  
Simonsen, Kenneth Starup  
Cooper, Jackie A.  
Humphries, Steve Eric  
Brilliant, Murray H.  
Kitchner, Terrie E.  
Hakonarson, Håkon H.  
De Andrade, Mariza De  
Carrell, David S.  
McCarty, Catherine A.  
Kirchner, H. Lester  
Roden, Dan M.  
Denny, Joshua C.  
Carty, Cara L.  
Hancock, Stephen John  
Attia, John  
Holliday, Elizabeth G.  
O'Donnell, Martin  
Völzke, Henry  
Yusuf, Salim  
Chong, Michael  
Pare, Guillaume  
Van Der Harst, Pim  
Said, Michael Abdullah  
Eppinga, Ruben N.  
Verweij, Niek  
Snieder, Harold  
Christen, Tim  
Mook-Kanamori, Dennis Owen  
Ward, Joey  
Gustafsson, Stefan  
DOI
10.1016/S2213-8587(16)30396-5
Abstract
Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest hyperglycaemia, increased bodyweight, and modestly increased risk of type 2 diabetes, which in no way offsets their substantial benefits. We sought to investigate the associations of LDL cholesterol-lowering PCSK9 variants with type 2 diabetes and related biomarkers to gauge the likely effects of PCSK9 inhibitors on diabetes risk. Methods In this mendelian randomisation study, we used data from cohort studies, randomised controlled trials, case control studies, and genetic consortia to estimate associations of PCSK9 genetic variants with LDL cholesterol, fasting blood glucose, HbA1c, fasting insulin, bodyweight, waist-to-hip ratio, BMI, and risk of type 2 diabetes, using a standardised analysis plan, meta-analyses, and weighted gene-centric scores. Findings Data were available for more than 550 000 individuals and 51 623 cases of type 2 diabetes. Combined analyses of four independent PCSK9 variants (rs11583680, rs11591147, rs2479409, and rs11206510) scaled to 1 mmol/L lower LDL cholesterol showed associations with increased fasting glucose (0·09 mmol/L, 95% CI 0·02 to 0·15), bodyweight (1·03 kg, 0·24 to 1·82), waist-to-hip ratio (0·006, 0·003 to 0·010), and an odds ratio for type diabetes of 1·29 (1·11 to 1·50). Based on the collected data, we did not identify associations with HbA1c (0·03%, −0·01 to 0·08), fasting insulin (0·00%, −0·06 to 0·07), and BMI (0·11 kg/m2, −0·09 to 0·30). Interpretation PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes. In trials of PCSK9 inhibitor drugs, investigators should carefully assess these safety outcomes and quantify the risks and benefits of PCSK9 inhibitor treatment, as was previously done for statins. Funding British Heart Foundation, and University College London Hospitals NHS Foundation Trust (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre.
Subjects

Heart disease

LDL cholesterol

Diabetes

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