Association of PTPRC Exon 4 and 6 Gene Polymorphisms in Idiopathic Recurrent Pregnancy Loss: A Couple -Based Study from South India.
Bibliographic record
Abstract
Abstract Purpose Recurrent pregnancy loss (RPL) implies to two or more consecutive pregnancy losses before 20 weeks of gestation with the same partner. Numerous studies have investigated the role of biochemical parameters with respect to PTPRC (Protein Tyrosine Phosphatase Receptor C) in embryonic development and pregnancy success. However, the PTPRC genetic polymorphisms in RPL have not been reported in the literature. Methods: Our study included one hundred and twenty-five couples with a history of RPL and 125 healthy couples who had one or more successful pregnancies without history of miscarriages as controls. Peripheral blood was used to isolate the DNA, which was followed by genotyping of PTPRC gene, C77G and A138G polymorphisms, by Allele specific PCR method. Results: The results showed significant association of PTPRC, rs17612648 and rs4915154 in both the partners of RPL cases when compared to controls. It is observed that the CG genotype of rs17612648 was predominant in couples with RPL. With regard to PTPRC rs4915154 polymorphism, only AG genotype was significant in RPL females when compared to control females. However, males with history of RPL showed a greater risk for both AG and GG genotypes. Haplotype analysis revealed the presence of minor allele in both the exons 4 and 6 increases the risk for RPL. Conclusion: In summary, our pilot study in south Indian population revealed significant association of PTPRC gene polymorphisms C77G and A138G in couples with RPL. Further studies in other populations on functional and disease associations are warranted.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".