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Record W4416758199 · doi:10.1186/s11689-025-09644-2

The importance of intrafamilial cognitive phenotyping by the case of 22q11.2 deletion, 15q11.2 deletion, and families with inherited copy number variants of unknown significance

2025· article· en· W4416758199 on OpenAlexaff
Elise Pelgrims, Laurens Hannes, Ilse Noens, Yoni Peeters, Hilde Peeters, Ania Fiksinski, Tracy Heung, Anne S. Bassett, Jeroen Breckpot, Ann Swillen

Bibliographic record

VenueJournal of Neurodevelopmental Disorders · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsCentre for Addiction and Mental HealthUniversity Health Network
Fundersnot available
KeywordsCognitionCopy-number variationHuman geneticsCorrelationCognitive agingNeuropsychologyNeurologyCognitive disabilitiesGenetic variants

Abstract

fetched live from OpenAlex

BACKGROUND: Rare copy number variants (CNVs) are known to be important contributors to the genetic cause of developmental differences (DD). Parental cognitive phenotyping could assist with interpreting inherited variants of uncertain significance (VUS), and could help to assess phenotypic variability and improve genetic counseling. However, no methodological framework exists for the intergenerational correlation of cognitive abilities. We introduce an approach to assess intrafamilial concordance of cognitive abilities and apply it to three trio cohorts: adults with de novo 22q11.2 microdeletion (n = 50) acting as a high penetrance control for the method, probands with inherited 15q11.2 BP1-BP2 deletions (n = 10) which is associated with a low penetrance of DD, and probands with DD and a rare CNV classified as VUS (CNVUS) and inherited from a parent with seemingly typical development (n = 21). METHODS: For each cohort, cognitive phenotyping of probands and both parents was performed using standardized, validated, and age-appropriate IQ tests (Wechsler scales). Siblings were tested when available. Intrafamilial concordance of cognitive abilities was assessed based on an overlap of 95% confidence intervals for full-scale IQ (FSIQ) and cognitive subdomains. Trio whole genome sequencing with variant analysis of known DD-related genes was performed in the CNVUS cohort to identify additional (likely) pathogenic variants associated with DD. RESULTS: For the de novo 22q11.2 microdeletion cohort, there was FSIQ discordance in most (42/50; 84%) proband-parent trios, a greater intrafamilial difference between proband and biparental FSIQ for probands with lower FSIQ (r = -0.684, p < 0.001), and evidence that the deletion has a more pronounced effect on performance than on verbal domains. In families with an inherited 15q11.2 deletion, there was evidence of assortative mating (proband's FSIQ aligned exclusively with that of the carrier parent in only two families), and intrafamilial variable expression. In the CNVUS cohort, 10 of 21 parents assessed were found to have borderline to mild ID, although considered within typical range at inclusion, and only five families (24%) showed concordance between proband and transmitting parent FSIQ. Reclassification of CNVUS, limited by small family size and assortative mating, was possible for two families to a likely pathogenic CNV, and for seven families to a likely benign CNV. WGS identified pathogenic variants contributing to the DD in two probands. CONCLUSION: The results suggest that our approach for determining intrafamilial IQ correlation effectively captured the impact of de novo 22q11.2 microdeletion and additive parental background effect on cognitive impairment, consistent with the modest but detectable effect of 15q11.2 deletions. Parental cognitive data could assist with classifying inherited CNVs of unknown significance.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.262
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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