Genetic effects versus bias for candidate polymorphisms in myocardial infarction: case study and overview of large-scale evidence
| dc.contributor.author | Ntzani, E. E. | en |
| dc.contributor.author | Rizos, E. C. | en |
| dc.contributor.author | Ioannidis, J. P. | en |
| dc.date.accessioned | 2015-11-24T19:14:57Z | |
| dc.date.available | 2015-11-24T19:14:57Z | |
| dc.identifier.issn | 0002-9262 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/21422 | |
| dc.rights | Default Licence | - |
| dc.subject | Alleles | en |
| dc.subject | *Bias (Epidemiology) | en |
| dc.subject | Coronary Artery Disease/epidemiology/*genetics | en |
| dc.subject | Ethnic Groups/genetics | en |
| dc.subject | Greece/epidemiology | en |
| dc.subject | Humans | en |
| dc.subject | Myocardial Infarction/epidemiology/*genetics | en |
| dc.subject | *Polymorphism, Genetic | en |
| dc.subject | Receptor, Angiotensin, Type 1/*genetics | en |
| dc.subject | Risk Factors | en |
| dc.title | Genetic effects versus bias for candidate polymorphisms in myocardial infarction: case study and overview of large-scale evidence | en |
| heal.abstract | Several genetic polymorphisms have been proposed to be associated with myocardial infarction (MI). The authors examined the evidence and biases underlying such associations using a case-study meta-analysis and an overview of large-scale data. In a meta-analysis of 27 studies addressing the association of the angiotensin type 1 receptor (AT1R)+1166A/C polymorphism with MI (10,180 cases, 17,129 controls), the *C allele conferred an increase in MI risk (odds ratio = 1.13 per allele, p = 0.005). However, there was large between-study heterogeneity; the largest study showed no effect, contradicting smaller studies; and studies with blinded genotyping showed no effect. The authors conducted an overview of meta-analyses of genetic associations for MI or coronary artery disease, including at least three studies and 3,000 subjects. In their latest meta-analysis, another 14 polymorphisms were found to have formally significant associations. If true, these associations would already explain 42% of the MI risk for Caucasian populations. Significant between-study heterogeneity was common. Across the 32 largest studies, only two found formally significant results (nine would be expected if each meta-analysis showed a true association). Even with large-scale evidence from meta-analyses, significant associations for MI may be subject to bias. Large-scale single studies and prospective consortia should be used for detecting and validating the genetic determinants of MI. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | 10.1093/aje/kwk085 | - |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/17293603 | - |
| heal.identifier.secondary | http://aje.oxfordjournals.org/content/165/9/973.full.pdf | - |
| heal.journalName | Am J Epidemiol | en |
| heal.journalType | peer-reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2007 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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