# Adaptive functioning in children and young adults with monogenic neurodevelopmental disorders

**Authors:** Emma K. Baker, Miya St John, Ruth Braden, Lottie D. Morison, Elana J. Forbes, Fatma Lelik, Stephen J. C. Hearps, David J. Amor, Angela T. Morgan

PMC · DOI: 10.1111/dmcn.16227 · Developmental Medicine and Child Neurology · 2025-01-23

## TL;DR

The study compares adaptive behavior in children with specific genetic neurodevelopmental disorders to see if general or disorder-specific approaches better explain their behavior patterns.

## Contribution

The study introduces a transdiagnostic approach to better understand adaptive behavior in monogenic neurodevelopmental disorders.

## Key findings

- Few group differences in adaptive behavior were found when adjusting for intellectual disability.
- Children with BRPF1 or KANSL1 variants showed better adaptive behavior skills compared to others.
- A five-profile model of adaptive behavior was identified, showing similar delays within each profile.

## Abstract

To examine the adaptive behaviour profiles of children with monogenic neurodevelopmental disorders (NDDs) to determine whether syndrome‐specific or transdiagnostic approaches provide a better understanding of the adaptive behavioural phenotypes of these NDDs.

This cross‐sectional study included parents and caregivers of 243 (48% female) individuals (age range = 1–25 years; mean = 8 years 10 months, SD = 5 years 8 months) with genetically confirmed monogenic NDDs (CDK13, DYRK1A, FOXP2, KAT6A, KANSL1, SETBP1, BRPF1, and DDX3X). Parents and caregivers completed the Vineland Adaptive Behavior Scales, Third Edition to assess communication, daily living, socialization, and motor skills.

Linear regression models comparing mean adaptive behaviours between monogenic NDDs, adjusting for the presence of intellectual disability, revealed few group differences. Children with variants in BRPF1 or KANSL1 had better adaptive behaviour skills compared to children with variants in CDK13, DDX3X, DYRK1A, and KAT6A, although group differences varied across domains. A latent profile analysis showed compelling evidence for a five‐profile model. These profiles were homogeneous, with similar delays across the subdomain scores in each profile. Additionally, each monogenic NDD was represented in each profile, with a few exceptions.

Transdiagnostic approaches to understand adaptive behaviour in monogenic NDDs provide a better understanding of individual strengths and challenges, enabling more targeted support.

Plain language summary: https://onlinelibrary.wiley.com/doi/10.1111/dmcn.16264

## Linked entities

- **Genes:** CDK13 (cyclin dependent kinase 13) [NCBI Gene 8621], DYRK1A (dual specificity tyrosine phosphorylation regulated kinase 1A) [NCBI Gene 1859], FOXP2 (forkhead box P2) [NCBI Gene 93986], KAT6A (lysine acetyltransferase 6A) [NCBI Gene 7994], KANSL1 (KAT8 regulatory NSL complex subunit 1) [NCBI Gene 284058], SETBP1 (SET binding protein 1) [NCBI Gene 26040], BRPF1 (bromodomain and PHD finger containing 1) [NCBI Gene 7862], DDX3X (DEAD-box helicase 3 X-linked) [NCBI Gene 1654]

## Full-text entities

- **Genes:** DYRK1A (dual specificity tyrosine phosphorylation regulated kinase 1A) [NCBI Gene 1859] {aka DYRK, DYRK1, HP86, MNB, MNBH, MRD7}, DDX3X (DEAD-box helicase 3 X-linked) [NCBI Gene 1654] {aka CAP-Rf, DBX, DDX14, DDX3, HLP2, MRX102}, SETBP1 (SET binding protein 1) [NCBI Gene 26040] {aka MRD29, SEB}, CDK13 (cyclin dependent kinase 13) [NCBI Gene 8621] {aka CDC2L, CDC2L5, CHDFIDD, CHED, hCDK13}, BRPF1 (bromodomain and PHD finger containing 1) [NCBI Gene 7862] {aka BR140, IDDDFP}, FOXP2 (forkhead box P2) [NCBI Gene 93986] {aka CAGH44, SPCH1, TNRC10}, KANSL1 (KAT8 regulatory NSL complex subunit 1) [NCBI Gene 284058] {aka C17DELq21.31, CENP-36, DEL17Q21.31, KDVS, KIAA1267, MSL1v1}, KAT6A (lysine acetyltransferase 6A) [NCBI Gene 7994] {aka ARTHS, MOZ, MRD32, MYST-3, MYST3, RUNXBP2}
- **Diseases:** NDDs (MESH:D002658), intellectual disability (MESH:D008607)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12134409/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/PMC12134409/full.md

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Source: https://tomesphere.com/paper/PMC12134409