Estimating Heritability of Gene Expression Using Parent-Offspring Regression with 2-Channel Microarrays
Bibliographic record
Abstract
With the advent of microarrays, it is possible to look at the entire transcriptome of an organism as a suite of quantitative traits. An obvious question to now ask is: To what extent is gene expression heritable? In quantitative genetics, single parent-offspring regression is the most straightforward method in situations where the progenies are produced by cross-pollination to many male parents of unknown location. However, estimation of the heritability of gene expression with single parent-offspring regression has not yet been examined with 2-channel microarrays. Here we introduce 3 experimental designs: chain design, independent quartets design, and completely independent design. We then compare them with common reference design in respect to statistical power and bias of the estimates. In our simulations, we also incorporated a model of simple inheritance with one gene. The results of our simulations indicate the efficiency of the chain design over the alternative design considered.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".