Genotype–Phenotype Relations in Primary Familial Brain Calcification: Systematic <scp>MDSGene</scp> Review
Bibliographic record
Abstract
This systematic MDSGene review covers individuals with confirmed genetic forms of primary familial brain calcification (PFBC) available in the literature. Data on 516 (47% men) individuals, carrying heterozygous variants in SLC20A2 (solute carrier family 20 member 2, 61%), PDGFB (platelet-derived growth factor subunit B, 12%), XPR1 (xenotropic and polytropic retrovirus receptor, 16%), or PDGFRB (platelet-derived growth factor receptor beta, 5%) or biallelic variants in MYORG (myogenesis-regulating glycosidase, 13%) or JAM2 (junctional adhesion molecule 2, 2%), were extracted from 93 articles. Nearly one-third of the mutation carriers were clinically unaffected. Carriers of PDGFRB variants were more likely to be clinically unaffected (~54%), and the penetrance of SLC20A2 and XPR1 variants (<70%) was lower in comparison to the remaining three genes (>85%). Among the 349 clinically affected patients, 27% showed only motor and 31% only nonmotor symptoms/signs, whereas the remaining 42% had a combination thereof. While parkinsonism and speech disturbance were the most frequently reported motor manifestations, cognitive deficits, headache, and depression were the major nonmotor symptoms/signs. The basal ganglia were always calcified, and the cerebellum, thalamus, and white matter contained calcifications in 58%, 53%, and 43%, respectively, of individuals. In autosomal-dominant PFBC, mutation severity influenced the number of calcified brain areas, which in turn correlated with the clinical status, whereby the risk of developing symptoms/signs more than doubled for each additional region with calcifications. Our systematic analysis provides the most comprehensive insight into genetic, clinical, and neuroimaging features of known PFBC forms, to date. In addition, it puts forth the penetrance estimates and newly discovered genotype-phenotype relations that will improve counseling of individuals with mutations in PFBC genes. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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 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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".