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Record W2602045657 · doi:10.1182/blood.v112.11.115.115

Heritability of Iron Status Phenotype in the Hemochromatosis and Iron Overload Screening (HEIRS) Family Study

2008· article· en· W2602045657 on OpenAlexaff
Christine E. McLaren, James C. Barton, Gordon D. McLaren, Ronald T. Acton, Paul C. Adams, Leora Henkin, Victor R. Gordeuk, J H Eckfeldt, Chris D. Vulpe, Barbara Harrison, Jacob A. Reiss, Beverly M. Snively

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsHereditary hemochromatosisHemochromatosisTransferrin saturationHeritabilityGeneticsPopulationPhenotypeGenotypeBiologyHepcidinFerritinInternal medicineMedicineAnemiaGeneSerum ferritin

Abstract

fetched live from OpenAlex

Abstract Hereditary hemochromatosis (HH) is a common iron overload (IO) disorder of people of western European descent. HH, defined using biochemical criteria, occurs in 0.2%–0.5% of US whites. Some HH patients absorb excessive dietary iron and develop consequent liver fibrosis and cirrhosis, hepatocellular carcinoma, diabetes mellitus, cardiomyopathy, and hypogonadotrophic hypogonadism. Most whites with HH have common mutations (C282Y and H63D) in HFE; this gene encodes HFE, which regulates iron absorption by modulating hepatic expression of hepcidin. The spectrum of HH phenotypes is broad, and mutations in known iron-related genes do not account for most phenotype variability. Thus, it is assumed that HH phenotypes are affected by other genetic and environmental factors. Gender and age are two important factors known to affect HH phenotypes. Putative genetic factors may influence dietary choices or modulate iron absorption or loss via mechanisms presently undefined. The Hemochromatosis and Iron Overload Screening (HEIRS) Study is a multi-center, multi-ethnic study in which transferrin saturation (TS), serum ferritin (SF), and HFE mutations were determined in 101,168 adults. We examined familial aggregation and genetic contributions to iron- and HH-related phenotypes in the HEIRS Family Study and hypothesized that both genetic and environmental factors influence serum iron measures after adjustment for gender, age, HFE C282Y and H63D genotype, and other clinical and demographic characteristics. Heritability (h2), defined as the proportion of total variation due to variability in genetic values, measures the fraction of variation between individuals in a population attributable to additive effects of their genotypes. We estimated heritability of TS, SF, and unbound iron-binding capacity (UIBC) in participants from the HEIRS Family Study (N=180 families, mean size 5.5). Eligible probands (aged >24 y) had both TS and SF values above gender-specific thresholds (TS>50% and SF >300 μg/L in men; TS >45% and SF >200 μg/L in women), or were C282Y homozygotes. Family members, 19 years of age or older, were eligible. There were 77% Caucasians, 3% African Americans, 8% Hispanics, and 10% Asians; average age (SD) was 49 (16) y; 56% were female. The distribution of HFE genotypes was 22% C282Y/C282Y, 7% C282Y/H63D, 2% H63D/H63D, 34% C282Y/+, 8% H63D/+, and 26% +/+. A variance component approach using SOLAR software estimated residual heritability, adjusting for age, gender, their interaction (age × gender), race/ethnicity, and HFE genotype (model 1). In another model, study site, body mass index, menopausal status, phlebotomy treatment, hepatitis, average daily intake of alcohol, and level of C-reactive protein were added to the core set of covariates (model 2). Log transformation of serum ferritin was performed prior to analysis. In model 1 (N=938 individuals), h2 was 0.40 (SE 0.060) for UIBC, 0.26 (0.055) for log SF, and 0.25 (0.056) for TS; P < 0.0001 for each test of h2=0. Age, gender, race/ethnicity, and HFE genotype accounted for 38%, 38%, and 36% of the variability in UIBC, log SF, and TS, respectively. In model 2, based on complete data from N=828 individuals, adjusted for the full set of covariates, h2 was 0.31 (0.067) for UIBC, 0.26 (0.067) for log SF, and 0.16 (0.061) for TS; P < 0.0013 for each. The proportion of variance due to age, gender, HFE gene and all measured environmental factors was 0.43 for UIBC, 0.44 for log SF, and 0.41 for TS. We conclude that quantitative serum iron measures in HEIRS Family Study participants have significant heritability components, even after accounting for effects of HFE C282Y and H63D genotypes. This suggests that other genetic variants contribute to the variability in TS, SF, and UIBC, and indicates the need for gene discovery studies to provide insight into clinical disorders in which morbidity and mortality are affected by perturbations of iron metabolism.

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)0.002
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.253
Teacher spread0.233 · 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".

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Citations3
Published2008
Admission routes1
Has abstractyes

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