Uncovering the Shared Genetic Components of Thyroid Disorders and Reproductive Health
Bibliographic record
Abstract
ABSTRACT Thyroid disorders are complex and polygenic, and thus result from the interaction of many genetic variants. Due to a central role of the thyroid hormones in the body, their dysfunction can have a significant impact on the reproductive health in men and women. Mapping the shared genetic component and relationships between thyroid and reproductive health traits will improve the understanding about the interplay between those domains. Here, a large-scale genetic analysis of thyroid traits (hyper- and hypothyroidism, and thyroid stimulating hormone levels) was conducted in up to 743,088 individuals of European ancestry from various cohorts. We evaluated genetic and phenotypic associations using genome-wide association study (GWAS) meta-analysis, gene prioritisation, genetic correlation analysis, and phenotype vs phenome-wide-association analysis. The results showed that 32% of thyroid-associated genes also had an impact on reproductive phenotypes, with the most affected functions being related to genitourinary tract issues. The study highlights the shared genetic determinants between thyroid function and reproductive health, providing evidence for the genetic pleiotropy between these traits in both men and women.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".