Genetic relations between type 1 diabetes, coronary artery disease and leukocyte counts

被引:2
|
作者
Adebekun, Jolade [1 ,2 ]
Nadig, Ajay [3 ]
Saarah, Priscilla [1 ,2 ]
Asgari, Samira [4 ,5 ]
Kachuri, Linda [6 ]
Alagpulinsa, David A. [1 ,2 ]
机构
[1] Yale Univ, Yale Ctr Mol & Syst Metab, Sch Med, New Haven, CT 06510 USA
[2] Yale Univ, Dept Comparat Med, Sch Med, New Haven, CT 06510 USA
[3] Broad Inst MIT & Harvard, Program Med & Populat Genet, Cambridge, MA USA
[4] Icahn Sch Med Mt Sinai, Inst Genom Hlth, New York, NY 10029 USA
[5] Icahn Sch Med Mt Sinai, Dept Genet & Genom Sci, New York, NY USA
[6] Stanford Univ, Dept Epidemiol & Populat Hlth, Sch Med, Stanford, CA USA
关键词
Coronary artery disease; Expression quantitative loci; Genetic correlation; Genetic risk; Haematopoiesis; Leukocyte counts; Mendelian randomisation; Type; 1; diabetes; MENDELIAN RANDOMIZATION; CARDIOVASCULAR RISK; CELL; VARIANTS; ATHEROSCLEROSIS; SUSCEPTIBILITY; HEMATOPOIESIS; ARCHITECTURE; IFIH1; LOCI;
D O I
10.1007/s00125-024-06247-9
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims/hypothesisType 1 diabetes is associated with excess coronary artery disease (CAD) risk even when known cardiovascular risk factors are accounted for. Genetic perturbation of haematopoiesis that alters leukocyte production is a novel independent modifier of CAD risk. We examined whether there are shared genetic determinants and causal relationships between type 1 diabetes, CAD and leukocyte counts.MethodsGenome-wide association study summary statistics were used to perform pairwise linkage disequilibrium score regression and heritability estimation from summary statistics (rho-HESS) to respectively estimate the genome-wide and local genetic correlations, and two-sample Mendelian randomisation to estimate the causal relationships between leukocyte counts (335,855 healthy individuals), type 1 diabetes (18,942 cases, 501,638 control individuals) and CAD (122,733 cases, 424,528 control individuals). A latent causal variable (LCV) model was performed to estimate the genetic causality proportion of the genetic correlation between type 1 diabetes and CAD.ResultsThere was significant genome-wide genetic correlation (rg) between type 1 diabetes and CAD (rg=0.088, p=8.60 x 10-3) and both diseases shared significant genome-wide genetic determinants with eosinophil count (rg for type 1 diabetes [rg(T1D)]=0.093, p=7.20 x 10-3, rg for CAD [rg(CAD)]=0.092, p=3.68 x 10-6) and lymphocyte count (rg(T1D)=-0.052, p=2.76 x 10-2, rg(CAD)=0.176, p=1.82 x 10-15). Sixteen independent loci showed stringent Bonferroni significant local genetic correlations between leukocyte counts, type 1 diabetes and/or CAD. Cis-genetic regulation of the expression levels of genes within shared loci between type 1 diabetes and CAD was associated with both diseases as well as leukocyte counts, including SH2B3, CTSH, MORF4L1, CTRB1, CTRB2, CFDP1 and IFIH1. Genetically predicted lymphocyte, neutrophil and eosinophil counts were associated with type 1 diabetes and CAD (lymphocyte OR for type 1 diabetes [ORT1D]=0.67, p=2.02-19, ORCAD=1.09, p=2.67 x 10-6; neutrophil ORT1D=0.82, p=5.63 x 10-5, ORCAD=1.17, p=5.02 x 10-14; and eosinophil ORT1D=1.67, p=5.45 x 10-25, ORCAD=1.07, p=2.03 x 10-4. The genetic causality proportion between type 1 diabetes and CAD was 0.36 +/- 0.16 (pLCV=1.30 x 10-2), suggesting a possible intermediary causal variable.Conclusions/interpretationThis study sheds light on shared genetic mechanisms underlying type 1 diabetes and CAD, which may contribute to their co-occurrence through regulation of gene expression and leukocyte counts and identifies cellular and molecular targets for further investigation for disease prediction and potential drug discovery.
引用
收藏
页码:2518 / 2529
页数:12
相关论文
共 50 条
  • [41] Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk
    Jansen, Henning
    Loley, Christina
    Lieb, Wolfgang
    Pencina, Michael J.
    Nelson, Christopher P.
    Kathiresan, Sekar
    Peloso, Gina M.
    Voight, Benjamin F.
    Reilly, Muredach P.
    Assimes, Themistocles L.
    Boerwinkle, Eric
    Hengstenberg, Christian
    Laaksonen, Reijo
    McPherson, Ruth
    Roberts, Robert
    Thorsteinsdottir, Unnur
    Peters, Annette
    Gieger, Christian
    Rawal, Rajesh
    Thompson, John R.
    Koenig, Inke R.
    Vasan, Ramachandran S.
    Erdmann, Jeanette
    Samani, Nilesh J.
    Schunkert, Heribert
    ATHEROSCLEROSIS, 2015, 241 (02) : 419 - 426
  • [42] Ischemic ECG changes predict coronary artery disease in type I diabetes
    Olson, JC
    Orchard, TJ
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2005, 98 (03) : 511 - 511
  • [43] Remnant Cholesterol and the Risk of Coronary Artery Disease in Patients With Type 2 Diabetes
    Wang, Kexin
    Ding, Yaodong
    Wang, Rui
    Yang, Jiaxin
    Liu, Xiaoli
    Han, Hongya
    Shen, Hua
    Sun, Yan
    Zhou, Yujie
    Ge, Hailong
    ANGIOLOGY, 2023, 74 (08) : 745 - 753
  • [44] Platelet Mediated Inflammation in Coronary Artery Disease with Type 2 Diabetes Patients
    Johny, Ebin
    Bhaskar, Pathoori
    Alam, Md Jahangir
    Kuladhipati, Indra
    Das, Rupam
    Adela, Ramu
    JOURNAL OF INFLAMMATION RESEARCH, 2021, 14 : 5131 - 5147
  • [45] Identification of novel functional CpG-SNPs associated with type 2 diabetes and coronary artery disease
    Wang, Zun
    Qiu, Chuan
    Lin, Xu
    Zhao, Lan-Juan
    Liu, Yong
    Wu, Xinrui
    Wang, Qian
    Liu, Wei
    Li, Kelvin
    Deng, Hong-Wen
    Tang, Si-Yuan
    Shen, Hui
    MOLECULAR GENETICS AND GENOMICS, 2020, 295 (03) : 607 - 619
  • [46] Resistin and adiponectin levels in subjects with coronary artery disease and type 2 diabetes
    Yaturu, Subhashini
    Daberry, Robert P.
    Rains, Justin
    Jain, Sushil
    CYTOKINE, 2006, 34 (3-4) : 219 - 223
  • [47] Peripheral blood gene expression profiles in metabolic syndrome, coronary artery disease and type 2 diabetes
    Grayson, B. L.
    Wang, L.
    Aune, T. M.
    GENES AND IMMUNITY, 2011, 12 (05) : 341 - 351
  • [48] Antioxidants and coronary artery disease among individuals with type 1 diabetes: Findings from the Pittsburgh Epidemiology of Diabetes Complications Study
    Costacou, Tina
    Zgibor, Janice C.
    Evans, Rhobert W.
    Tyurina, Yulia Y.
    Kagan, Valerian E.
    Orchard, Trevor J.
    JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2006, 20 (06) : 387 - 394
  • [49] Markers of endothelial dysfunction in the prediction of coronary artery disease in type 1 diabetes. The Pittsburgh Epidemiology of Diabetes Complications study
    Costacou, T
    Lopes-Virella, MF
    Zgibor, JC
    Virella, G
    Otvos, J
    Walsh, M
    Orchard, TJ
    JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2005, 19 (04) : 183 - 193
  • [50] Evaluation of genetic association between celiac disease and type 1 diabetes
    Malekahmadi, Sayyad
    Asri, Nastaran
    Forouzesh, Flora
    Saneifard, Hedyeh
    Rezaei-Tavirani, Mostafa
    Rostami-Nejad, Mohammad
    JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2024, 23 (01) : 487 - 495