SynthesisJournal of human genetics2006
Identification of chromosomal regions linked to premature myocardial infarction: a meta-analysis of whole-genome searches.
Synthesis in Journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Meta-analysis of genome-wide linkage scans for renal function traits.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2012Pooled it
- Association of angiotensin-converting enzyme I/D polymorphism with heart failure: a meta-analysis.Molecular and cellular biochemistry · 2012Pooled it
- Heterogeneity of the phenotypic definition of coronary artery disease and its impact on genetic association studies.Circulation. Cardiovascular genetics · 2011Pooled it
- ACE (I/D) polymorphism and response to treatment in coronary artery disease: a comprehensive database and meta-analysis involving study quality evaluation.BMC medical genetics · 2009Pooled it
- Clinical Profile and Long-Term Prognostic Factors of a Young Chinese Han Population (≤ 40 Years) Having ST-Segment Elevation Myocardial Infarction.Acta Cardiologica Sinica · 2015Article
- C771G (His241Gln) polymorphism of MLXIPL gene, TG levels and coronary artery disease: a case control study.Anatolian journal of cardiology · 2015Article
- Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family.PloS one · 2013Article
- Insights into the genetic architecture of diabetic nephropathy.Current diabetes reports · 2012Review
- Proteasome modulator 9 and macrovascular pathology of T2D.Cardiovascular diabetology · 2011Article
- Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits.BMC genomics · 2009Article
- Genetic and genomic insights into the molecular basis of atherosclerosis.Cell metabolism · 2007Review
- Mapping a gene for rheumatoid arthritis on chromosome 18q21.BMC proceedings · 2007Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myocardial infarction (MI) is a complication of coronary artery disease and the leading cause of death in the Western world. MI is considered a distinct phenotype with an increased genetic component for its premature type. MI's exact inheritance pattern is still unknown. Genome searches for identifying susceptibility loci for premature MI produced inconclusive or inconsistent results. Thus, a genome search meta-analysis (GSMA) was applied to available genome search data on premature MI. GSMA is a non-parametric method to identify genetic regions that rank high, on average in terms of linkage statistics across genome searches unweighted or weighted by study size. The significance of each region's average and heterogeneity, unadjusted or adjusted by neighbouring average simulated ranks, was calculated using a Monte Carlo test. The meta-analysis involved five genome searches in Caucasians. Eight regions (6p22.3-6p21.1, 14p13-14q13.1, 13q33.1-13q34, 5p15.33-5p15.1, 8q13.2-8q22.2, 1p36.21-1p35.2, 12q24.31-12q24.33, 8q24.21-8q24.3) were found to have significant average rank by either unweighted or weighted analyses. In addition, region 8q24.21-8q24.3 produced significant low heterogeneity (P (unadjusted)=0.03 and P (adjusted)=0.05). Four regions (6p22.3-6p21.1, 14p13-14q13.1, 8q13.2-8q22.2, 8q24.21-8q24.3) were not identified by the individual studies. The meta-analysis suggests that these four regions should be further investigated for genes that confer susceptibility to MI.
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