Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-05T03:01:04.755Z Has data issue: false hasContentIssue false

6 - Identification of myocardial infarction-susceptible genes and their functional analyses

from Part II - Genome-wide studies in disease biology

Published online by Cambridge University Press:  18 December 2015

Kouichi Ozaki
Affiliation:
RIKEN Center for Integrative Medical Sciences
Toshihiro Tanaka
Affiliation:
Tokyo Medical and Dental University
Krishnarao Appasani
Affiliation:
GeneExpression Systems, Inc., Massachusetts
Stephen W. Scherer
Affiliation:
University of Toronto
Peter M. Visscher
Affiliation:
University of Queensland
Get access

Summary

Introduction

Coronary artery disease (CADs), including myocardial infarction (MI), have been the major cause of mortality and morbidity among late-onset diseases in many industrialized countries with a Western lifestyle (Braunwald, 1997; Breslow, 1997). MI often occurs without any preceding clinical signs and is followed by severe complications, especially ventricular fibrillation and cardiac rupture, which might result in sudden death. Although recent advances in treatment and diagnosis have greatly improved the quality of life for patients after MI, its morbidity is still high. MI is a disease of the vessel that feeds the cardiac muscle, called the coronary artery. Abrupt occlusion of the coronary artery results in irreversible damage to cardiac muscle. Plaque rupture with thrombosis is a well-established critical factor in the pathogenesis of MI (Falk et al., 1995; Libby, 1995). Although the detailed mechanisms of plaque rupture are unknown, inflammation is thought to play an important role in its pathogenesis (Ross, 1999). Inflammatory mediators like cytokines are involved in atheroma formation; rapid evolution of the atheromatous injury, leading to rupture of the plaque; and intraluminal thrombosis (Ross, 1999). Epidemiologic studies reveal that coronary risk factors include type 2 diabetes mellitus, hypercholesterolemia, hypertension, and obesity. Some studies report a genetic factor; one reported that first-degree relatives of patients who have had an acute MI before age 55 have a 2–7-times higher risk of MI (Lusis et al., 2004). A twin study indicated an eightfold increase in risk of death from MI when a first twin dies of MI before age 55 (Marenberg et al., 1994). Common genetic variants are believed to contribute to genetic risk of disease (Lander, 1996; Risch and Merikangas, 1996; Collins et al., 1997). In this context, we started genome-wide association studies (GWAS) for MI using nearly 90,000 gene-based SNPs (http://snp.ims.u-tokyo.ac.jp/; Haga et al., 2002) by high-throughput multiplex polymerase chain reaction (PCR) invader assay system (Ohnishi et al., 2001), and identified several genes associated with the risk of MI including LTA (Ozaki et al., 2002; Ishii et al., 2006; Ebana et al., 2007; Aoki et al., 2011). Although the detailed roles of these susceptible genes in MI pathogenesis are under investigation, these findings showed the potent power of GWAS, which is hypothesis-free, to identify unexpected anchors to further understand the disease.

Type
Chapter
Information
Genome-Wide Association Studies
From Polymorphism to Personalized Medicine
, pp. 79 - 88
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aoki, A., Ozaki, K., Sato, H., et al. (2011). SNPs on 5p15.3 associated with myocardial infarction in Japanese population. J. Hum. Genet., 56, 47–51.CrossRefGoogle ScholarPubMed
Beinke, S. and Ley, S.C. (2004). Functions of NF-kappaB1 and NF-kappaB2 in immune cell biology. Biochem. J., 382, 393–409.CrossRefGoogle ScholarPubMed
Braunwald, E. (1997). Shattuck lecture – cardiovascular medicine at the turn of the millennium: triumphs, concerns and opportunities. New Engl. J. Med., 337, 1360–1369.CrossRefGoogle ScholarPubMed
Breslow, JW. (1997). Cardiovascular disease burden increases, NIH funding decreases. Nature Med., 3, 600–601.CrossRefGoogle ScholarPubMed
Collins, FS., Guyer, MS. and Charkravarti, A. (1997) Variations on a theme: cataloging human DNA sequence variation. Science, 278, 1580–1581.CrossRefGoogle ScholarPubMed
Coux, O., Tanaka, K. and Goldberg, AL. (1996). Structure and functions of the 20S and 26S proteasomes. Annu. Rev. Biochem., 65, 801–847.CrossRefGoogle ScholarPubMed
Ebana, Y., Ozaki, K., Sato, H., et al. (2007) A functional SNP in ITIH3 is associated with susceptibility to myocardial infarction. J. Hum. Genet., 52, 220–229.CrossRefGoogle ScholarPubMed
Falk, E., Shah, P.K. and Fuster, V. (1995) Coronary plaque disruption. Circulation, 92, 657–671.CrossRefGoogle ScholarPubMed
Haga, H., Yamada, R., Ohnishi, Y., Nakamura, Y.Tanaka, T. (2002). Gene-based SNP discovey as part of the Japanese Millennium Genome project: identification of 190,562 genetic variations in the human genome. J. Hum. Genet., 47, 605–610.CrossRefGoogle ScholarPubMed
Helgadottir, A., Thorleifsson, G., Manolescu, A., et al. (2007). A common variant on chromosome 9p21 affects the risk of myocardial infarction. Science, 316, 1491–1493.CrossRefGoogle ScholarPubMed
International HapMap Consortium. (2005) A haplotype map of the human genome. Nature, 437, 1299–1320.
Ishii, N., Ozaki, K., Sato, H., et al. (2006). Identification of a novel non-coding RNA, MIAT, that confers risk of myocardial infarction. J. Hum. Genet., 51, 1087–1099.CrossRefGoogle ScholarPubMed
Karin, M. and Delhase, M. (2000). The I kappa B kinase (IKK) and NF-kappa B: key elements of proinflammatory signalling. Seminars in Immunology, 12, 85–98.CrossRefGoogle ScholarPubMed
Lander, ES. (1996). The new genomics: global views of biology. Science 274, 536–539.CrossRefGoogle ScholarPubMed
Li, S., Ku, C.Y.Farmer, A.A., et al. (1998). Identification of a novel cytoplasmic protein that specifically binds to nuclear localization signal motifs. J. Biol. Chem., 273, 6183–6189.Google ScholarPubMed
Liao, Y.C., Wang, Y.S., Guo, Y.C., et al. (2011). BRAP activates the inflammatory cascades and increases the risk for carotid atherosclerosis. Molec. Med., 17, 1065–1074.CrossRefGoogle ScholarPubMed
Libby, P. (1995). Molecular bases of the acute coronary syndromes. Circulation, 91, 2844–2850.CrossRefGoogle ScholarPubMed
Liu, X., Wang, X., Shen, Y., et al. (2009). The functional variant rs1048990 in PSMA6 is associated with susceptibility to myocardial infarction in a Chinese population. Atherosclerosis, 206(1), 199–203.CrossRefGoogle ScholarPubMed
Lusis, A.J., Mar, R. and Pajukanta, P. (2004). Genetics of atherosclerosis. Annu. Rev. Genom. Hum. Genet., 5, 189–218.CrossRefGoogle ScholarPubMed
Marenberg, M.E., Risch, N., Berkman, L.F., Floderus, B. and de Faire, U. (1994). Genetic susceptibility to death from coronary heart disease in a study of twins. New Engl. J. Med., 330, 1041–1046.CrossRefGoogle Scholar
Matheny, S.A., Chen, C., Kortum, R.L., et al. (2004). Ras regulates assembly of mitogenic signalling complexes through the effector protein IMP. Nature, 427, 256–260.CrossRefGoogle ScholarPubMed
McPherson, R., Pertsemlidis, A., Kavaslar, N., et al. (2007). A common allele on chromosome 9 associated with coronary artery disease. Science, 316, 1488–1491.CrossRefGoogle Scholar
Ohnishi, Y., Tanaka, T., Ozaki, K., et al. (2001). A high-throughput SNP typing system for genomewide association studies. J. Hum. Genet., 46, 471–477.CrossRefGoogle Scholar
O'Neill, L.A. (2006). Targeting signal transduction as a strategy to treat inflammatory diseases. Nature Rev. Drug Discov., 5, 549–563.CrossRefGoogle ScholarPubMed
Ory, S. and Morrison, DK. (2004). Signal transduction: implications for Ras-dependent ERK signaling. Curr. Biol., 14, R277–R278.CrossRefGoogle ScholarPubMed
Ozaki, K. and Tanaka, T. (2005). Genome-wide association study to identify SNPs conferring risk of myocardial infarction and their functional analyses. Cell. Molec. Life Sci., 62, 1804–1813.CrossRefGoogle ScholarPubMed
Ozaki, K., Ohnishi, Y., Iida, A., et al. (2002). Functional SNPs in the lymphotoxin-alpha gene that are associated with susceptibility to myocardial infarction. Nature Genet., 32, 650–654.CrossRefGoogle ScholarPubMed
Ozaki, K., Inoue, K., Sato, H., et al. (2004). Functional variation in LGALS2 confers risk of myocardial infarction and regulates lymphotoxin-alpha secretion in vitro. Nature, 429, 72–75.CrossRefGoogle ScholarPubMed
Ozaki, K., Sato, H., Iida, A., et al. (2006). A functional SNP in PSMA6 confers risk of myocardial infarction in the Japanese population. Nature Genet., 38, 921–925.CrossRefGoogle ScholarPubMed
Ozaki, K., Sato, H., Inoue, K., et al. (2009). SNPs in BRAP associated with risk of myocardial infarction in Asian populations. Nature Genet., 41, 329–333.CrossRefGoogle ScholarPubMed
PROCARDIS Consortium. (2004). A trio family study showing association of the lymphotoxin-alpha N26 (804A) allele with coronary artery disease. Eur. J. Hum. Genet., 12, 770–774.
Risch, N. and Merikangas, K. (1996). The future of genetic studies of complex human diseases. Science, 273, 1516–1517.CrossRefGoogle ScholarPubMed
Ross, R. (1999). Atherosclerosis – an inflammatory disease. New Engl. J. Med., 340, 115–126.CrossRefGoogle ScholarPubMed
Tanaka, T. and Ozaki, K. (2006). Inflammation as a risk factor for myocardial infarction. J. Hum. Genet., 51, 595–604.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×