Publication: Multifactor dimensionality reduction analysis of MTHFR, PAI-1, ACE, PON1, and eNOS gene polymorphisms in patients with early onset coronary artery disease
dc.contributor.author | GÜNEY, AHMET İLTER | |
dc.contributor.authors | Agirbasli, M.; Guney, A. I.; Ozturhan, H. S.; Agirbasli, D.; Ulucan, K.; Sevinc, D.; Kirac, D.; Ryckman, K. K.; Williams, S. M. | |
dc.date.accessioned | 2022-03-12T17:53:21Z | |
dc.date.available | 2022-03-12T17:53:21Z | |
dc.date.issued | 2011 | |
dc.description.abstract | Background: Association studies in the Turkish population have investigated the single locus effects of different gene polymorphisms on coronary artery disease (CAD). CAD is a complex polygenic disease that involves complex interactions among multiple genetic and environmental conditions. Design: We evaluated associations of five candidate genetic polymorphisms (methylene tetrahydrofolate reductase C677T, plasminogen activator inhibitor 4G/5G, endothelial nitric oxide synthase (eNOS) 3-27 base pair repeat, insertion, or deletion of a 287 bp Alu repeat sequence polymorhism of angiotensin I converting enzyme, and paraoxonase Gln192Arg PON1 polymorphisms) with the presence and extent of early onset CAD. Methods: DNA was isolated and amplified from 90 consecutive patients with angiographically proven early onset CAD (ages 41 +/- 5 for men, 49 +/- 7 for women) and also from 90 control subjects with no significant coronary obstruction angiographically (ages 42 +/- 5 for men, 48 +/- 6 for women). Multifactor dimensionality reduction (MDR) analysis was performed to identify a model of CAD based on both genetic and conventional risk factors. Results: MDR analysis detected a significant model with four genes (prediction success similar to 61%, p = 0.03). When the total number of the conventional risk factors is analysed with the candidate polymorphisms, a different model is identified that includes three of the four genes from the above model and achieves a similar prediction of CAD as the gene only model. Conclusion: These data indicate that gene-gene and gene-environmental risk interactions form significant models in predicting early onset CAD. | |
dc.identifier.doi | 10.1177/1741826711398806 | |
dc.identifier.eissn | 1741-8275 | |
dc.identifier.issn | 1741-8267 | |
dc.identifier.pubmed | 21450592 | |
dc.identifier.uri | https://hdl.handle.net/11424/230458 | |
dc.identifier.wos | WOS:000297975200004 | |
dc.language.iso | eng | |
dc.publisher | SAGE PUBLICATIONS LTD | |
dc.relation.ispartof | EUROPEAN JOURNAL OF CARDIOVASCULAR PREVENTION & REHABILITATION | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | ACE I/D | |
dc.subject | coronary artery disease | |
dc.subject | eNOS 3-27 | |
dc.subject | Gln192Arg PON1 | |
dc.subject | MTHFR C677T | |
dc.subject | multifactor dimensionality reduction | |
dc.subject | PAI-1 4G/5G | |
dc.subject | EPISTASIS | |
dc.title | Multifactor dimensionality reduction analysis of MTHFR, PAI-1, ACE, PON1, and eNOS gene polymorphisms in patients with early onset coronary artery disease | |
dc.type | article | |
dspace.entity.type | Publication | |
local.avesis.id | dcd015cb-a311-4c7b-b34c-0781d893e449 | |
local.import.package | SS17 | |
local.indexed.at | WOS | |
local.indexed.at | SCOPUS | |
local.indexed.at | PUBMED | |
local.journal.numberofpages | 7 | |
oaire.citation.endPage | 809 | |
oaire.citation.issue | 6 | |
oaire.citation.startPage | 803 | |
oaire.citation.title | EUROPEAN JOURNAL OF CARDIOVASCULAR PREVENTION & REHABILITATION | |
oaire.citation.volume | 18 | |
relation.isAuthorOfPublication | d474fc8a-ae88-487e-b63b-7f506191fb94 | |
relation.isAuthorOfPublication.latestForDiscovery | d474fc8a-ae88-487e-b63b-7f506191fb94 |