MG-106 Global developmental delay and characteristic facial features associated with pacs1 gene mutation – report of two cases
Bibliographic record
Abstract
<h3></h3> Intellectual disability (ID) affects 1%–3% of the population. While it has a strong genetic component, finding a genetic diagnosis remains challenging. Given the high rate of <i>de novo</i> events in ID, family-based sequencing may be an important tool. In 2012 Schuurs-Hoeijmakers <i>et al</i>., reported two children with ID and characteristic features associated with a heterozygote mutation in PACS1. We report the same mutation elucidated by whole exome sequencing (WES) in two additional children. Patient 1 was born at term to a 30-year-old primigravida from Bangladesh. Her birth weight and length were 3–10th% and head circumference 50–75th%. ID presented in the first year of life. She had sparse hair, a high forehead, frontal bossing, hypertelorism, deep-set eyes, a broad nasal root, full lips and a wide mouth. She had marked hypotonia, decreased muscle bulk and hyperextensible joints. WES revealed a PACS1 mutation. (NM_018026)exon4:c. C607T:p. R203W. Patient 2 was born at term to a 34-year-old primigravida from China. Birth weight and length were 10–25th% and head circumference 25–50th%. At birth, an anoplasty was performed for an ectopic anus. A right duplex kidney and undescended testes were identified. ID presented before age one. He had a short forehead, bushy eyebrows, short nose, large mouth, uplifting earlobes, bilateral single palmar creases, widely spaced nipples and an umbilical hernia. WES revealed the same mutation. Our two cases highlight the clinical utility of WES in helping establish a diagnosis of an unfamiliar clinical syndrome and supports the discovery of a now recognisable syndrome due to mutation in PACS1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".