Homozygosity mapping in an anophthalmic pedigree provides evidence of additional genetic heterogeneity
Bibliographic record
Abstract
PURPOSE: Anophthalmia is a heterogeneous developmental disorder characterized by absent eyes whose diverse etiology encompasses chromosomal and monogenic aberrations, as well as environmental causes. Since the molecular basis has been defined in only a small proportion of cases and extending this offers potential to enhance understanding of key steps in ocular development, a consanguineous anophthalmic pedigree was investigated using homozygosity mapping. METHODS: DNA samples from six individuals, two anophthalmic, were genotyped with an array featuring approximately 620,000 single nucleotide polymorphisms (SNPs) in order to identify homozygous or copy number variant (CNV) regions. Candidate genes located in regions of identity by descent (IBD) defined by homozygosity mapping were subsequently screened by direct sequencing. RESULTS: Genotyping identified five homozygous intervals (4q26-28.1, 13q12.11, 14q22.1-22.2, 15q26.2-26.3 and 19q13.12) larger than 1 Mb that do not correspond with the known loci and which contain a total of 205 annotated genes. No CNVs were identified that segregated with the disease phenotype, and sequencing of five candidate genes (PRDM5, FGF2, SOS2, POU2F2 and CIC) did not identify any mutations. CONCLUSIONS: Although constrained by the pedigree's size, the homozygosity mapping approach employed in this study extends the locus heterogeneity of anophthalmia. The results indicate that a novel molecular cause remains to be determined in this pedigree with the causative gene likely located within one of the five IBD regions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".