Consanguineous Marriages and Their Effects on Common Adult Diseases: Studies from an Endogamous Population
Bibliographic record
Abstract
OBJECTIVES: The aim of the study was to determine the extent and nature of consanguinity in the Qatari population and its effects on common adult diseases. SUBJECTS AND METHODS: The study was conducted in urban and semi-urban areas of Qatar between October 2004 and May 2005. The total sample of 1,050 married Qatari females 15 years of age and over were approached for study. The degree of consanguinity between each female and her spouse and the degree of consanguinity between their parents were recorded. RESULTS: Of 1,050 married Qatari females who were approached, 876 agreed to participate in the study, giving an 83.4% response. The rate of consanguinity in the present generation was 51% (95% confidence interval = 47.7-54.4) with a coefficient of inbreeding of 0.023724. The consanguinity rate and coefficient of inbreeding in the current generation were significantly higher than the maternal rate (51.0 vs. 40.3%; p < 0.001; 0.023724 vs. 0.016410 maternal). All types of consanguineous marriages were higher in this generation, particularly first cousins (26.7 vs. 21.4% paternal and 23.1% maternal) and double first cousins (4.3 vs. 2.9% paternal and 0.8% maternal). The current generation of consanguineous parents had a slightly higher risk for most diseases: cancer, mental disorders, heart diseases, gastro-intestinal disorders, hypertension, hearing deficit and diabetes mellitus. All reported diseases were more frequent in consanguineous marriages. CONCLUSION: The study showed that in a population with a high rate of consanguinity, there is a significant increase in the prevalence of common adult diseases like cancer, mental disorders, heart diseases, gastro-intestinal disorders, hypertension and hearing deficit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 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".