Genome-Wide Analysis of the Parkinsonism-Dementia Complex of Guam
Bibliographic record
Abstract
BACKGROUND: Parkinsonism-dementia complex (PDC) is a neurofibrillary tangle degeneration involving the deposition of Alzheimer-type tau, predominantly in the mesial temporal cortex, brainstem, and basal ganglia. It occurs in focal geographic isolates, including Guam and the Kii peninsula of Japan. The familial clustering of the disease has suggested that a genetic factor could be important in its etiology. OBJECTIVE: To determine whether a genetic locus could be identified, linked, or associated with PDC. DESIGN AND PATIENTS: We performed a genome-wide association study of 22 Guamanian PDC and 19 control subjects using 834 microsatellite markers with an approximate genome-wide marker density of 4.4 centimorgans. RESULTS: Two-point association analysis identified 17 markers (P<.015). Each of these markers then underwent conventional linkage analysis in 5 families with PDC. One marker, D20S103, generated a logarithm of odds score of greater than 1.5. Multipoint association analysis also highlighted 2 other areas on chromosome 14q (adjacent to D14S592, 59.2 megabases [M]) and chromosome 20 (adjacent to D20S470, 17.4 M) with multipoint association logarithm of the odds scores of greater than 2. The areas around D20S103, D14S592, and D20S470 were further analyzed by association using additional microsatellite markers and by conventional linkage analysis. This did not provide further evidence for the role of these areas in PDC. CONCLUSIONS: This study has not identified a single gene locus for PDC, confirming the impression of a geographic disease isolate with a complex genetic, a genetic/environmental etiology, or a purely environmental etiology.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".