Analysis of inherited genetic variations at the<i>UGT1</i>locus in the French-Canadian population
Bibliographic record
Abstract
The UDP-glucuronosyltransferase UGT1 locus is composed of nine exon 1s, each flanked by a unique promoter region, and common exons (2, 3, 4, and the alternatively spliced exons 5a and 5b). Here, we characterized the genetic architecture of the UGT1 gene in a Caucasian sample. Overall, 98 variations in regulatory domains, exons and exon-intron boundaries were genotyped in 254 unrelated subjects, including 12 unreported UGT1 polymorphisms. We determined allele frequencies, computed pairwise linkage disequilibrium (LD), and inferred haplotypes; this thorough analysis yielding a limited number of common UGT1 haplotypes. Moreover, only 17 haplotype tagging single nucleotide polymorphisms (htSNPs) are required to capture most of the allelic diversity of the locus. Four haplotype blocks were inferred: Block 9/6 (UGT1A9, UGT1A7 and UGT1A6), Block 4 (UGT1A4), Block 3/1 (UGT1A3 and UGT1A1), and Block C (3'UTR). A high level of linkage exists between Blocks 9/6 and 3/1, while the 3'UTR SNPs are genetically isolated. The most common haplotype (16.5%) presents multiple deleterious alleles, mainly 1A1*28, 1A3*2, 1A6*2, and 1A7*4. More interestingly, we reveal the co-occurrences of multiple deleterious variations, some of which could be associated with interindividual differences in glucuronidation. Comparison with the HapMap data set demonstrated differences in haplotypic diversity between ethnic samples, but similarity between Caucasian cohorts, as observed previously. This report provides relevant data for further pharmacogenomic studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".