Geographic and Racial/Ethnic Differences in HFE Mutation Frequencies and Iron Phenotypes in the Hemochromatosis and Iron Overload Screening (HEIRS) Study.
Bibliographic record
Abstract
Abstract Designing an optimal screening approach for hemochromatosis and iron overload requires knowledge of racial/ethnic subpopulations and frequencies of HFE mutations and phenotypes in geographic areas. In the HEIRS Study, HFE C282Y and H63D genotypes and prevalences of participants who met biochemical criteria for further evaluation (transferrin saturation >50% and ferritin >300 ng/mL, men; >45% and >200 ng/mL, women) were compared in a primary care-based sample of ~100,000 adults ≥25 years from 5 Field Centers. There were different respective HFE C282Y and H63D genotype frequencies in Whites, Blacks, Asians, and Hispanics across geographic areas (all p<0.0001), but not in Native Americans or Pacific Islanders. In Whites, the C282Y/C282Y proportion was significantly higher in AL than in CA or OR/HI. AL also had a significantly higher proportion of C282Y/wt than CA or OR/HI. In Blacks, D.C. had a significantly higher proportion of C282Y and H63D genotypes than AL. ONT had a significantly higher H63D genotype proportion than AL. In Asians, CA had a significantly higher proportion of H63D genotypes than OR/HI or ONT. In Hispanics, there were significant differences between: AL and CA; AL and D.C.; CA and D.C.; CA and OR/HI; D.C. and OR/HI; and D.C. and ONT. We also observed: Prevalences of Participants Who Met Biochemical Criteria for Further Evaluation Race/Ethnicity Geographic Area Prevalence (%) 95% CI Asians California 5.54 4.98, 6.16 Oregon/Hawaii 5.06 4.29, 5.95 Ontario 4.25 3.69, 4.88 Alabama 1.41 0.25, 7.56 D.C. 0.96 0.26, 3.42 Pacific Islanders California 3.66 1.25, 10.21 Oregon/Hawaii 3.47 2.23, 5.36 Native Americans Alabama 2.65 0.91, 7.52 Oregon/Hawaii 2.50 0.69, 8.66 D.C. 0.99 0.17, 5.40 Ontario 0.75 0.21, 2.71 Whites Ontario 2.31 2.08, 2.56 California 1.93 1.56, 2.37 Oregon/Hawaii 1.52 1.34, 1.73 Alabama 1.48 1.26, 1.74 D.C. 1.40 0.80, 2.43 Hispanics Ontario 1.92 0.82, 4.41 California 1.52 1.28, 1.79 Oregon/Hawaii 1.34 0.73, 2.4 Alabama 0.84 0.23, 3.01 D.C. 0.74 0.48, 1.16 Blacks D.C. 1.75 1.56, 1.96 Ontario 1.55 0.52, 4.45 Alabama 1.09 0.90, 1.32 Oregon/Hawaii 0.92 0.31, 2.66 California 0.86 0.29, 2.51 The percentage of men who met biochemical criteria for further evaluation was greater than that of women. We conclude that 1) C282Y and H63D genotype frequencies vary significantly within a single racial/ethnic group across geographic regions; and 2) the percentage of participants who met biochemical criteria for further evaluation varies by racial/ethnic group.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".