Association of single nucleotide polymorphisms rs7164665, rs71461059, rs74765750, rs6762529 with sudden cardiac death
Bibliographic record
Abstract
Aim. To confirm the association between sudden cardiac death (SCD) and single nucleotide polymorphisms rs7164665, rs71461059, rs74765750, rs6762529, identified in own genome-wide associative study as new molecular genetic markers of SCD. Material and methods. As design we used case-control study. The SCD group was formed using the SCD criteria of the European Society of Cardiology (n=438, average age 53,2±9,1 years, male — 72,7%, women — 28,3%). The control group (n=435, average age 53,2±8,9 years, men — 70,0%, women — 30,0%) was selected by gender and age for the SCD group from the DNA bank of the international projects MONICA and HAPIEE. DNA was isolated by phenol-chloroform extraction from myocardial tissue in the SCD group and venous blood in the control group. Genotyping was performed by polymerase chain reaction followed by analysis of estriction fragment length polymorphism. The results are statistically processed using the SPSS 16.0 software package. Results. No carriers of the rare allele A of the single nucleotide polymorphism rs74765750 were found in the SCD group and the control group. No statistically significant differences were found between the SCD group and the control group relating to frequencies of genotypes and alleles of single nucleotide polymorphisms rs7164665 and rs71461059. In the age group older than 50 years, the proportion of carriers of the heterozygous CT genotype of the single nucleotide polymorphism rs6762529 in the SCD group is statistically significantly lower compared to the control group (CT vs CC+TT: OR=0,686, 95% CI 0,483-0,967 p=0,035). Conclusion. The CT genotype of the single nucleotide polymorphism rs6762529 is associated with a protective effect on SCD for people over 50 years of age. The association with single nucleotide polymorphisms rs7164665, rs71461059, rs74765750 with SCD has not been confirmed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".