Bibliographic record
Abstract
The majority of significant single-nucleotide polymorphisms (SNPs) identified with genome-wide association studies are located in non-coding regions of the genome; it is therefore possible that they are involved in transcriptional regulation of a nearby gene rather than affecting an encoded protein's function. Previously, it was demonstrated that the SNP rs12203592, located in intron 4 of the IRF4 gene, is strongly associated with human skin pigmentation and modulates an enhancer element that controls expression of IRF4. In our study, we investigated the allele-specific effect of rs12203592 on IRF4 expression in epidermal skin samples and in melanocytic cells from donors of different skin color. We focused on the characteristics and activity of the enhancer, and on long-range chromatin interactions in melanocytic cells homozygous and heterozygous for rs12203592. We found that, irrespective of the trans-activating environment, IRF4 transcription is strongly correlated with the allelic status of rs12203592, the activity of the rs12203592 enhancer and that the chromatin features depend on the rs12203592 genotype. Furthermore, we demonstrate that the rs12203592 enhancer physically interacts with the IRF4 promoter through an allele-dependent chromatin loop, and suggest that subsequent allele-specific activation of IRF4 transcription is stabilized by another allele-specific loop from the rs12203592 enhancer to an additional regulatory element in IRF4. We conclude that the non-coding SNP rs12203592 is located in a regulatory region and affects a wide range of enhancer characteristics, resulting into modulation of the enhancer's activity, its interaction with the IRF4 promoter and subsequent allele-specific transcription of IRF4. Our findings provide another example of a non-coding SNP affecting skin color by modulating enhancer-mediated transcriptional regulation.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".