Do All Hemochromatosis Patients Have the Same Origin? A Pilot Study of Mitochondrial DNA and Y-DNA
Bibliographic record
Abstract
BACKGROUND: Mitochondrial DNA (mtDNA) and Y-DNA analysis have been widely used to predict ancestral origin. Genetic anthropologists predict that human civilizations may have originated in central Africa one to two million years previously. Primary iron overload is not a common diagnosis among indigenous people of northern Africa, but hereditary hemochromatosis is present in approximately one in 200 people in northern Europe. MtDNA analysis has the potential to determine whether contemporary hemochromatosis patients have an ancient ancestral linkage. METHODS: DNA was obtained from buccal smears for mtDNA and Y-DNA analysis. Y-DNA analysis included examination of 20 short tandem repeat markers on the Y chromosome. Analysis of mtDNA involved sequencing of the HVR-1 genetic sequence (nucleotides 16001 to 16520) and was compared with the Cambridge Reference Sequence. MtDNA ancestral haplotypes were predicted from the analysis of the HVR-1 sequence. RESULTS: Twenty-six male C282Y homozygotes were studied. There were 28 polymorphisms present in the HVR-1 sequence of these participants. The most common polymorphism was present at position 16519 in 15 participants and at position 16311 in eight participants. There were 12 different ancestral haplotypes predicted by mtDNA analysis, with the K haplotype being present in five participants. Y-DNA analysis revealed eight different haplotypes, with R1b being found in 11 of the 26 participants. CONCLUSION: Analysis of mtDNA and Y-DNA in 26 hemochromatosis patients suggested that they did not all originate from the same ancestral tribe in Africa. These findings were consistent with the theory that the original hemochromatosis mutation occurred after migration of these ancestral people to central Europe, possibly 4000 years previously.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".