Association of polymorphisms in long non-coding RNA H19 with coronary artery disease risk in a Chinese population

Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis

Volumn 772, Issue , 2015, Pages 15-22

  Gao, Wei ^a,b   Zhu, Meng ^a   Wang, Hao ^a   Zhao, Shan ^a   Zhao, Di ^a   Yang, Yang ^a   Wang, Ze Mu ^a   Wang, Fang ^a   Yang, Zhi Jian ^a   Lu, Xiang ^b   Wang, Lian Sheng ^a  

^a THE FIRST AFFILIATED HOSPITAL OF NANJING MEDICAL UNIVERSITY   (China)

^b THE SECOND AFFILIATED HOSPITAL OF NANJING MEDICAL UNIVERSITY   (China)

Author keywords

Coronary artery disease; H19; Long non coding RNA; Polymorphism

Indexed keywords

HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; RNA H19; TRIACYLGLYCEROL; UNTRANSLATED RNA; H19 LONG NON-CODING RNA; LONG UNTRANSLATED RNA;

ADULT; AGED; ANGIOCARDIOGRAPHY; ARTICLE; ATHEROSCLEROSIS; BLOOD SAMPLING; BODY MASS; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CASE CONTROL STUDY; CHINESE; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIABETES MELLITUS; DIASTOLIC BLOOD PRESSURE; DISEASE ASSOCIATION; DISEASE PREDISPOSITION; DISEASE SEVERITY; DNA POLYMORPHISM; DOWN REGULATION; DYSLIPIDEMIA; FEMALE; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENOTYPE; GENSINI SCORE; HAPLOTYPE; HOSPITALIZATION; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; PATHOGENESIS; PREVALENCE; SYSTOLIC BLOOD PRESSURE; ASIAN CONTINENTAL ANCESTRY GROUP; BIOLOGICAL MODEL; CHINA; CLINICAL TRIAL; GENETIC POLYMORPHISM; GENETICS; MIDDLE AGED; RISK FACTOR; SEVERITY OF ILLNESS INDEX;

AGED; ASIAN CONTINENTAL ANCESTRY GROUP; CHINA; CORONARY ARTERY DISEASE; FEMALE; HAPLOTYPES; HUMANS; MALE; MIDDLE AGED; MODELS, GENETIC; POLYMORPHISM, GENETIC; RISK FACTORS; RNA, LONG NONCODING; SEVERITY OF ILLNESS INDEX;

EID: 84920998638     PISSN: 00275107     EISSN: 09218262     Source Type: Journal    
DOI: 10.1016/j.mrfmmm.2014.12.009     Document Type: Article

References (41)

1. Hata J., Kiyohara Y. Epidemiology of stroke and coronary artery disease in Asia. Circ. J. 2013, 77:1923-1932.
2. Dalen J.E., Alpert J.S., Goldberg R.J., Weinstein R.S. The epidemic of the 20th century: coronary heart disease. Am. J. Med. Genet. A 2014, 127:807-812.
3. Sayols-Baixeras S., Lluis-Ganella C., Lucas G., Elosua R. Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variants. Appl. Clin. Genet. 2014, 7:15-32.
4. Fatica A., Bozzoni I. Long non-coding RNAs: new players in cell differentiation and development. Nat. Rev. Genet. 2014, 15:7-21.
5. Scheuermann J.C., Boyer L.A. Getting to the heart of the matter: long non-coding RNAs in cardiac development and disease. EMBO J. 2013, 32:1805-1816.
6. Gabory A., Ripoche M.A., Yoshimizu T., Dandolo L. The H19 gene: regulation and function of a non-coding RNA. Cytogenet. Genome Res. 2006, 113:188-193.
7. Gabory A., Jammes H., Dandolo L. The H19 locus: role of an imprinted non-coding RNA in growth and development. Bioessays 2010, 32:473-480.
8. Li H., Yu B., Li J., Su L., Yan M., Zhu Z., Liu B. Overexpression of lncRNA H19 enhances carcinogenesis and metastasis of gastric cancer. Oncotarget 2014, 5:2318-2329.
9. Ariel I., Sughayer M., Fellig Y., Pizov G., Ayesh S., Podeh D., Libdeh B.A., Levy C., Birman T., Tykocinski M.L., de Groot N., Hochberg A. The imprinted H19 gene is a marker of early recurrence in human bladder carcinoma. Mol. Pathol. 2000, 53:320-323.
10. Ma C., Nong K., Zhu H., Wang W., Huang X., Yuan Z., Ai K. H19 promotes pancreatic cancer metastasis by derepressing let-7's suppression on its target HMGA2-mediated EMT. Tumour Biol. 2014, 35:9163-9169.
11. Zhu M., Chen Q., Liu X., Sun Q., Zhao X., Deng R., Wang Y., Huang J., Xu M., Yan J., Yu J. lncRNA H19/miR-675 axis represses prostate cancer metastasis by targeting TGFBI. FEBS J. 2014, 281:3766-3775.
12. Kallen A.N., Zhou X.B., Xu J., Qiao C., Ma J., Yan L., Lu L., Liu C., Yi J.S., Zhang H., Min W., Bennett A.M., Gregory R.I., Ding Y., Huang Y. The imprinted H19 lncRNA antagonizes let-7 microRNAs. Mol. Cell 2013, 52:101-112.
13. Yan L., Zhou J., Gao Y., Ghazal S., Lu L., Bellone S., Yang Y., Liu N., Zhao X., Santin A.D., Taylor H., Huang Y. Regulation of tumor cell migration and invasion by the H19/let-7 axis is antagonized by metformin-induced DNA methylation. Oncogene 2014, [Epub ahead of print]. 10.1038/onc.2014.236.
14. Bao M.H., Feng X., Zhang Y.W., Lou X.Y., Cheng Y., Zhou H.H. Let-7 in cardiovascular diseases, heart development and cardiovascular differentiation from stem cells. Int. J. Mol. Sci. 2013, 14:23086-23102.
15. Han D.K., Khaing Z.Z., Pollock R.A., Haudenschild C.C., Liau G. H19, a marker of developmental transition, is reexpressed in human atherosclerotic plaques and is regulated by the insulin family of growth factors in cultured rabbit smooth muscle cells. J. Clin. Invest. 1996, 97:1276-1285.
16. Kim D.K., Zhang L., Dzau V.J., Pratt R.E. H19, a developmentally regulated gene, is reexpressed in rat vascular smooth muscle cells after injury. J. Clin. Invest. 1994, 93:355-360.
17. Devlin A.M., Bottiglieri T., Domann F.E., Lentz S.R. Tissue-specific changes in H19 methylation and expression in mice with hyperhomocysteinemia. J. Biol. Chem. 2005, 280:25506-25511.
18. Li L., Xie J., Zhang M., Wang S. Homocysteine harasses the imprinting expression of IGF2 and H19 by demethylation of differentially methylated region between IGF2/H19 genes. Acta Biochim. Biophys. Sin. 2009, 41:464-471.
19. Hernandez-Valero M.A., Rother J., Gorlov I., Frazier M., Gorlova O.Y. Interplay between polymorphisms and methylation in the H19/IGF2 gene region may contribute to obesity in Mexican-American children. J. Dev. Orig. Health Dis. 2013, 4:499-506.
20. Adkins R.M., Somes G., Morrison J.C., Hill J.B., Watson E.M., Magann E.F., Krushkal J. Association of birth weight with polymorphisms in the IGF2, H19, and IGF2R genes. Pediatr. Res. 2010, 68:429-434.
21. Tragante V., Barnes M.R., Ganesh S.K., Lanktree M.B., Guo W., Franceschini N., Smith E.N., Johnson T., Holmes M.V., Padmanabhan S., Karczewski K.J., Almoguera B., Barnard J., Baumert J., Chang Y.P., Elbers C.C., Farrall M., Fischer M.E., Gaunt T.R., Gho J.M., Gieger C., Goel A., Gong Y., Isaacs A., Kleber M.E., Mateo Leach I., McDonough C.W., Meijs M.F., Melander O., Nelson C.P., Nolte I.M., Pankratz N., Price T.S., Shaffer J., Shah S., Tomaszewski M., van der Most P.J., Van Iperen E.P., Vonk J.M., Witkowska K., Wong C.O., Zhang L., Beitelshees A.L., Berenson G.S., Bhatt D.L., Brown M., Burt A., Cooper-DeHoff R.M., Connell J.M., Cruickshanks K.J., Curtis S.P., Davey-Smith G., Delles C., Gansevoort R.T., Guo X., Haiqing S., Hastie C.E., Hofker M.H., Hovingh G.K., Kim D.S., Kirkland S.A., Klein B.E., Klein R., Li Y.R., Maiwald S., Newton-Cheh C., O'Brien E.T., Onland-Moret N.C., Palmas W., Parsa A., Penninx B.W., Pettinger M., Vasan R.S., Ranchalis J.E., MR P., Rose L.M., Sever P., Shimbo D., Steele L., Stolk R.P., Thorand B., Trip M.D., van Duijn C.M., Verschuren W.M., Wijmenga C., Wyatt S., Young J.H., Zwinderman A.H., Bezzina C.R., Boerwinkle E., Casas J.P., Caulfield M.J., Chakravarti A., Chasman D.I., Davidson K.W., Doevendans P.A., Dominiczak A.F., FitzGerald G.A., Gums J.G., Fornage M., Hakonarson H., Halder I., Hillege H.L., Illig T., Jarvik G.P., Johnson J.A., Kastelein J.J., Koenig W., Kumari M., Marz W., Murray S.S., O'Connell J.R., Oldehinkel A.J., Pankow J.S., Rader D.J., Redline S., Reilly M.P., Schadt E.E., Kottke-Marchant K., Snieder H., Snyder M., Stanton A.V., Tobin M.D., Uitterlinden A.G., van der Harst P., van der Schouw Y.T., Samani N.J., Watkins H., Johnson A.D., Reiner A.P., Zhu X., de Bakker P.I., Levy D., Asselbergs F.W., Munroe P.B., Keating B.J. Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci. Am. J. Hum. Genet. 2014, 94:349-360.
22. Gensini G.G. A more meaningful scoring system for determining the severity of coronary heart disease. Am. J. Cardiol. 1983, 51:606.
23. Shi Y.Y., He L. SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci. Cell Res. 2005, 15:97-98.
24. Stram D.O., Leigh Pearce C., Bretsky P., Freedman M., Hirschhorn J.N., Altshuler D., Kolonel L.N., Henderson B.E., Thomas D.C. Modeling and E-M estimation of haplotype-specific relative risks from genotype data for a case-control study of unrelated individuals. Hum. Hered. 2003, 55:179-190.
25. Schaid D.J., Rowland C.M., Tines D.E., Jacobson R.M., Poland G.A. Score tests for association between traits and haplotypes when linkage phase is ambiguous. Am. J. Hum. Genet. 2002, 70:425-434.
26. Wang K.C., Zhang L., McMillen I.C., Botting K.J., Duffield J.A., Zhang S., Suter C.M., Brooks D.A., Morrison J.L. Fetal growth restriction and the programming of heart growth and cardiac insulin-like growth factor 2 expression in the lamb. J. Physiol. 2011, 589:4709-4722.
27. Descartes M., Romp R., Franklin J., Biggio J.R., Zehnbauer B. Constitutional H19 hypermethylation in a patient with isolated cardiac tumor. Am. J. Med. Genet. A 2008, 146A:2126-2129.
28. Ishii N., Ozaki K., Sato H., Mizuno H., Saito S., Takahashi A., Miyamoto Y., Ikegawa S., Kamatani N., Hori M., Nakamura Y., Tanaka T. Identification of a novel non-coding RNA, MIAT, that confers risk of myocardial infarction. J. Hum. Genet. 2006, 51:1087-1099.
29. Congrains A., Kamide K., Oguro R., Yasuda O., Miyata K., Yamamoto E., Kawai T., Kusunoki H., Yamamoto H., Takeya Y., Yamamoto K., Onishi M., Sugimoto K., Katsuya T., Awata N., Ikebe K., Gondo Y., Oike Y., Ohishi M., Rakugi H. Genetic variants at the 9p21 locus contribute to atherosclerosis through modulation of ANRIL and CDKN2A/B. Atherosclerosis 2012, 220:449-455.
30. Wilkin F., Paquette J., Ledru E., Hamelin C., Pollak M., Deal C.L. H19 sense and antisense transgenes modify insulin-like growth factor-II mRNA levels. Eur. J. Biochem. 2000, 267:4020-4027.
31. Petry C.J., Ong K.K., Barratt B.J., Wingate D., Cordell H.J., Ring S.M., Pembrey M.E., Reik W., Todd J.A., Dunger D.B. Common polymorphism in H19 associated with birthweight and cord blood IGF-II levels in humans. BMC Genet. 2005, 6:22.
32. Gatford K.L., Heinemann G.K., Thompson S.D., Zhang J.V., Buckberry S., Owens J.A., Dekker G.A., Roberts C.T. Circulating IGF1 and IGF2 and SNP genotypes in men and pregnant and non-pregnant women. Endocr. Connect. 2014, 3:138-149.
33. Bergman D., Halje M., Nordin M., Engstrom W. Insulin-like growth factor 2 in development and disease: a mini-review. Gerontology 2013, 59:240-249.
34. Izzotti A., Calin G.A., Arrigo P., Steele V.E., Croce C.M., De Flora S. Downregulation of microRNA expression in the lungs of rats exposed to cigarette smoke. FASEB J. 2009, 23:806-812.
35. Qin B., Xiao B., Liang D., Li Y., Jiang T., Yang H. MicroRNA let-7c inhibits Bcl-xl expression and regulates ox-LDL-induced endothelial apoptosis. BMB Rep. 2012, 45:464-469.
36. Kin K., Miyagawa S., Fukushima S., Shirakawa Y., Torikai K., Shimamura K., Daimon T., Kawahara Y., Kuratani T., Sawa Y. Tissue- and plasma-specific MicroRNA signatures for atherosclerotic abdominal aortic aneurysm. J. Am. Heart Assoc. 2012, 1:e000745.
37. Bao M.H., Zhang Y.W., Lou X.Y., Cheng Y., Zhou H.H. Protective effects of let-7a and let-7b on oxidized low-density lipoprotein induced endothelial cell injuries. PLOS ONE 2014, 9:e106540.
38. Chen L.M., Nergard J.C., Ni L., Rosser C.J., Chai K.X. Long-term exposure to cigarette smoke extract induces hypomethylation at the RUNX3 and IGF2-H19 loci in immortalized human urothelial cells. PLOS ONE 2013, 8:e65513.
39. Gao Y., Wu F., Zhou J., Yan L., Jurczak M.J., Lee H.Y., Yang L., Mueller M., Zhou X.B., Dandolo L., Szendroedi J., Roden M., Flannery C., Taylor H., Carmichael G.G., Shulman G.I., Huang Y. The H19/let-7 double-negative feedback loop contributes to glucose metabolism in muscle cells. Nucleic Acids Res. 2014, 42:13799-13811.
40. Nordin M., Bergman D., Halje M., Engstrom W., Ward A. Epigenetic regulation of the Igf2/H19 gene cluster. Cell Prolif. 2014, 47:189-199.
41. Banci M., Saccucci P., Dofcaci A., Sansoni I., Magrini A., Bottini E., Gloria-Bottini F. Birth weight and coronary artery disease: the effect of gender and diabetes. Int. J. Biol. Sci. 2009, 5:244-248.