DNA Paternity Testing in Lebanon: Ambiguity in Laboratory Practices, Unsolved Ethical Issues, and Need for a Legislative Framework
Bibliographic record
Abstract
This study assesses the legal and ethical frameworks for genetic testing in Lebanon, with a particular focus on paternity testing. Information collected from 16 laboratories revealed that paternity testing is performed solely in the four laboratories accredited by the Ministry of Public Health, but only half of the tests are made through the court. Interestingly, one laboratory does not require the parents’ consent prior to paternity testing, and individuals are generally not informed about the possibility of misattributed paternity (73.3%) or disease predispositions (53.3%). Moreover, the disclosure of incidental findings is done by only 37.5% of laboratories. Unfortunately, genetic findings are communicated in the absence of a psychologist in 90% of cases. When deemed necessary, results are shared in 12.5% of cases with other health professionals, without the consent of the patient. Our study highlights the need to develop comprehensive guidelines and regulations that cover paternity testing in Lebanon.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.357 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.015 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".