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
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