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Geographic and Racial/Ethnic Differences in HFE Mutation Frequencies and Iron Phenotypes in the Hemochromatosis and Iron Overload Screening (HEIRS) Study.

2004· article· en· W2546527096 on OpenAlexaffabout
Ronald T. Acton, Beverly M. Snively, James C. Barton, Paul C. Adams, John H. Eckfeldt, Emily Harris, Fitzroy W. Dawkins, Christine E. McLaren, Victor R. Gordeuk, Gordon D. McLaren, David M. Reboussin, Phyliss Sholinsky, Mark Speechley, Joan Holup, Cathy Leiendecker-Foster

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsTransferrin saturationHereditary hemochromatosisHemochromatosisDemographyGenotypeEthnic groupPacific islandersMedicineSerum ferritinInternal medicineFerritinGerontologyPopulationGeneticsBiologyEnvironmental health

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.017
GPT teacher head0.254
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes2
Has abstractyes

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