Comprehensively Investigating the Genetic Architecture of Serum Lipids: From Identity by Descent Mapping, Transcriptome-Wide Association Study to Phenome-Wide Association Study
Bibliographic record
Abstract
For their unconditional support and endless love 3. Evaluate the clinical significance of lipid-associated loci in a large clinical dataset.Using phenome-wide TWAS (PredixVU), I will examine the clinical impact of lipidassociated genes phenome-wide by linking genetic factors to the full medical history captured in EHRs.These analyses will establish the constellation of clinical and health outcomes associated with lipid loci derived from diverse populations.* p-value<0.05,comparing to highest heritability ( --reference heritability) Table 4. Demographic and dyslipidemia related medical characteristics in HCSC/SOL Unmatched Matched Dyslipidmia Control Dyslipidmia Control N
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".