Type 2 Diabetes and Hypertension A Study on Bidirectional Causality

被引:167
作者
Sun, Dianjianyi [1 ]
Zhou, Tao [1 ,2 ]
Heianza, Yoriko [1 ]
Li, Xiang [1 ]
Fan, Mengyu [3 ]
Fonseca, Vivian A. [4 ]
Qi, Lu [1 ,5 ,6 ,7 ]
机构
[1] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Epidemiol, 1440 Canal St,Suite 1724, New Orleans, LA 70112 USA
[2] Sichuan Univ, Dept Publ Hlth Lab Sci, West China Sch Publ Hlth, Chengdu, Sichuan, Peoples R China
[3] Peking Univ, Hlth Sci Ctr, Dept Epidemiol & Biostat, Sch Publ Hlth, Beijing, Peoples R China
[4] Tulane Univ, Sch Med, Sect Endocrinol & Metab, 1430 Tulane Ave, New Orleans, LA 70112 USA
[5] Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA
[6] Brigham & Womens Hosp, Dept Med, Channing Div Network Med, 75 Francis St, Boston, MA 02115 USA
[7] Harvard Med Sch, Boston, MA 02115 USA
关键词
blood pressure; database; diabetes mellitus; type; 2; genetics; hypertension; Mendelian randomization analysis; metabolic syndrome; GENOME-WIDE ASSOCIATION; USUAL BLOOD-PRESSURE; INCIDENT HYPERTENSION; INSULIN-RESISTANCE; GENETIC ARCHITECTURE; ARTERIAL STIFFNESS; FASTING GLUCOSE; RISK; INSIGHTS; METAANALYSIS;
D O I
10.1161/CIRCRESAHA.118.314487
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Rationale: In observational studies, type 2 diabetes mellitus (T2D) has been associated with an increased risk of hypertension, and vice versa; however, the causality between these conditions remains to be determined. Objectives: This population-based prospective cohort study sought to investigate the bidirectional causal relations of T2D with hypertension, systolic and diastolic blood pressure (BP) using Mendelian randomization (MR) analysis. Methods and Results: After exclusion of participants free of a history of heart failure, cardiovascular disease, cardiac procedures, and non-T2D diabetes mellitus, a total of 318 664 unrelated individuals with qualified genotyping data of European descent aged 37 to 73 from UK Biobank were included. The genetically instrumented T2D and hypertension were constructed using 134 and 233 single nucleotide polymorphisms, respectively. Seven complementary MR methods were applied, including inverse-variance weighted method, 2 median-based methods (simple and weighted), MR-Egger, MR-robust adjusted profile scores, MR-Pleiotropy Residual Sum and Outlier, and multivariate MR. The genetically instrumented T2D was associated with risk of hypertension (odds ratio, 1.07 [95% CI, 1.04-1.10], P=3.4x10(-7)), whereas the genetically determined hypertension showed no relationship with T2D (odds ratio, 0.96 [0.88-1.04], P=0.34). Our MR estimates from T2D to BP showed that the genetically instrumented T2D was associated with a 0.67 mm Hg higher systolic BP (95% CI, 0.41-0.93, P=5.75x10-7) but not with a higher diastolic BP. There was no clear evidence showing a causal effect of elevated systolic BP or diastolic BP on T2D risk. Positive pleiotropic bias was indicated in the hypertension. T2D relation (odds ratio, of MREgger intercept 1.010 [1.004-1.016], P=0.001) but not from T2D to hypertension (1.001 [0.998-1.004], P=0.556). Conclusions: T2D may causally affect hypertension, whereas the relationship from hypertension to T2D is unlikely to be causal. These findings suggest the importance of keeping an optimal glycemic profile in general populations, and BP screening and monitoring, especially systolic BP, in patients with T2D.
引用
收藏
页码:930 / 937
页数:8
相关论文
共 40 条
[21]   Usual Blood Pressure and New-Onset Diabetes Risk [J].
Knowles, Joshua W. ;
Reaven, Gerald .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2016, 67 (13) :1656-1657
[22]   Insulin Resistance and Risk of Incident Hypertension Among Men [J].
Lai, Tai-Shuan ;
Curhan, Gary C. ;
Forman, John P. .
JOURNAL OF CLINICAL HYPERTENSION, 2009, 11 (09) :483-490
[23]   Triangulation in aetiological epidemiology [J].
Lawlor, Debbie A. ;
Tilling, Kate ;
Smith, George Davey .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (06) :1866-1886
[24]   Glucose, Insulin, and Incident Hypertension in the Multi-Ethnic Study of Atherosclerosis [J].
Levin, Gregory ;
Kestenbaum, Bryan ;
Chen, Yii-Der Ida ;
Jacobs, David R., Jr. ;
Psaty, Bruce M. ;
Rotter, Jerome I. ;
Siscovick, David S. ;
de Boer, Ian H. .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2010, 172 (10) :1144-1154
[25]   Multiple Imputation A Flexible Tool for Handling Missing Data [J].
Li, Peng ;
Stuart, Elizabeth A. ;
Allison, David B. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 314 (18) :1966-1967
[26]   Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility [J].
Mahajan, Anubha ;
Go, Min Jin ;
Zhang, Weihua ;
Below, Jennifer E. ;
Gaulton, Kyle J. ;
Ferreira, Teresa ;
Horikoshi, Momoko ;
Johnson, Andrew D. ;
Ng, Maggie C. Y. ;
Prokopenko, Inga ;
Saleheen, Danish ;
Wang, Xu ;
Zeggini, Eleftheria ;
Abecasis, Goncalo R. ;
Adair, Linda S. ;
Almgren, Peter ;
Atalay, Mustafa ;
Aung, Tin ;
Baldassarre, Damiano ;
Balkau, Beverley ;
Bao, Yuqian ;
Barnett, Anthony H. ;
Barroso, Ines ;
Basit, Abdul ;
Been, Latonya F. ;
Beilby, John ;
Bell, Graeme I. ;
Benediktsson, Rafn ;
Bergman, Richard N. ;
Boehm, Bernhard O. ;
Boerwinkle, Eric ;
Bonnycastle, Lori L. ;
Burtt, Noel ;
Cai, Qiuyin ;
Campbell, Harry ;
Carey, Jason ;
Cauchi, Stephane ;
Caulfield, Mark ;
Chan, Juliana C. N. ;
Chang, Li-Ching ;
Chang, Tien-Jyun ;
Chang, Yi-Cheng ;
Charpentier, Guillaume ;
Chen, Chien-Hsiun ;
Chen, Han ;
Chen, Yuan-Tsong ;
Chia, Kee-Seng ;
Chidambaram, Manickam ;
Chines, Peter S. ;
Cho, Nam H. .
NATURE GENETICS, 2014, 46 (03) :234-+
[27]   Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes [J].
Morris, Andrew P. ;
Voight, Benjamin F. ;
Teslovich, Tanya M. ;
Ferreira, Teresa ;
Segre, Ayellet V. ;
Steinthorsdottir, Valgerdur ;
Strawbridge, Rona J. ;
Khan, Hassan ;
Grallert, Harald ;
Mahajan, Anubha ;
Prokopenko, Inga ;
Kang, Hyun Min ;
Dina, Christian ;
Esko, Tonu ;
Fraser, Ross M. ;
Kanoni, Stavroula ;
Kumar, Ashish ;
Lagou, Vasiliki ;
Langenberg, Claudia ;
Luan, Jian'an ;
Lindgren, Cecilia M. ;
Mueller-Nurasyid, Martina ;
Pechlivanis, Sonali ;
Rayner, N. William ;
Scott, Laura J. ;
Wiltshire, Steven ;
Yengo, Loic ;
Kinnunen, Leena ;
Rossin, Elizabeth J. ;
Raychaudhuri, Soumya ;
Johnson, Andrew D. ;
Dimas, Antigone S. ;
Loos, Ruth J. F. ;
Vedantam, Sailaja ;
Chen, Han ;
Florez, Jose C. ;
Fox, Caroline ;
Liu, Ching-Ti ;
Rybin, Denis ;
Couper, David J. ;
Kao, Wen Hong L. ;
Li, Man ;
Cornelis, Marilyn C. ;
Kraft, Peter ;
Sun, Qi ;
van Dam, Rob M. ;
Stringham, Heather M. ;
Chines, Peter S. ;
Fischer, Krista ;
Fontanillas, Pierre .
NATURE GENETICS, 2012, 44 (09) :981-+
[28]   NON-INSULIN-DEPENDENT DIABETES-MELLITUS AND FASTING GLUCOSE AND INSULIN CONCENTRATIONS ARE ASSOCIATED WITH ARTERIAL STIFFNESS INDEXES - THE ARIC STUDY [J].
SALOMAA, V ;
RILEY, W ;
KARK, JD ;
NARDO, C ;
FOLSOM, AR .
CIRCULATION, 1995, 91 (05) :1432-1443
[29]   An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans [J].
Scott, Robert A. ;
Scott, Laura J. ;
Maegi, Reedik ;
Marullo, Letizia ;
Gaulton, Kyle J. ;
Kaakinen, Marika ;
Pervjakova, Natalia ;
Pers, Tune H. ;
Johnson, Andrew D. ;
Eicher, John D. ;
Jackson, Anne U. ;
Ferreira, Teresa ;
Lee, Yeji ;
Ma, Clement ;
Steinthorsdottir, Valgerdur ;
Thorleifsson, Gudmar ;
Qi, Lu ;
Van Zuydam, Natalie R. ;
Mahajan, Anubha ;
Chen, Han ;
Almgren, Peter ;
Voight, Ben F. ;
Grallert, Harald ;
Mueller-Nurasyid, Martina ;
Ried, Janina S. ;
Rayner, Nigel W. ;
Robertson, Neil ;
Karssen, Lennart C. ;
Van Leeuwen, Elisabeth M. ;
Willems, Sara M. ;
Fuchsberger, Christian ;
Kwan, Phoenix ;
Teslovich, Tanya M. ;
Chanda, Pritam ;
Li, Man ;
Lu, Yingchang ;
Dina, Christian ;
Thuillier, Dorothee ;
Yengo, Loic ;
Jiang, Longda ;
Sparso, Thomas ;
Kestler, Hans A. ;
Chheda, Himanshu ;
Eisele, Lewin ;
Gustafsson, Stefan ;
Franberg, Mattias ;
Strawbridge, Rona J. ;
Benediktsson, Rafn ;
Hreidarsson, Astradur B. ;
Kong, Augustine .
DIABETES, 2017, 66 (11) :2888-2902
[30]  
Smith GD., 2008, Biosocial Surveys