Genomics

Dataset Information

0

Expanding the neurodevelopmental phenotypes of individuals with de novo KMT2A variants


ABSTRACT: De novo loss-of-function (LoF) variants in the KMT2A gene are associated with Wiedemann-Steiner Syndrome (WSS). Recently, de novo KMT2A variants have been identified in sequencing studies of cohorts of individuals with neurodevelopmental disorders (NDDs). However, most of these studies lack the detailed clinical information required to determine whether those individuals have isolated NDDs or WSS (i.e. syndromic NDDs). We performed thorough clinical and neurodevelopmental phenotyping on six individuals with de novo KMT2A variants. From these data, we found that all six patients met clinical criteria for WSS and we further define the neurodevelopmental phenotypes associated with KMT2A variants and WSS. In particular, we identified a subtype of Autism Spectrum Disorder (ASD) in five individuals, characterized by marked rigid, repetitive and inflexible behaviours, emotional dysregulation, externalizing behaviours, but relative social motivation. To further explore the clinical spectrum associated with KMT2A variants, we also conducted a meta-analysis of individuals with KMT2A variants reported in the published literature. We found that de novo LoF or missense variants in KMT2A were significantly more prevalent than predicted by a previously established statistical model of de novo mutation rate for KMT2A. Our genotype-phenotype findings better define the clinical spectrum associated with KMT2A variants and suggest that individuals with de novo LoF and missense variants likely have a clinically unrecognized diagnosis of WSS, rather than isolated NDD or ASD alone. This highlights the importance of a clinical genetic and neurodevelopmental assessment for individuals with such variants in KMT2A.

PROVIDER: EGAS00001003521 | EGA |

REPOSITORIES: EGA

Similar Datasets

2018-11-25 | E-MTAB-7351 | biostudies-arrayexpress
2010-05-01 | GSE20533 | GEO
2016-06-17 | GSE71384 | GEO
2023-10-24 | GSE246137 | GEO
2022-10-14 | ST002332 | MetabolomicsWorkbench
2022-09-24 | GSE213899 | GEO
2015-01-21 | E-GEOD-57369 | biostudies-arrayexpress
2024-02-14 | GSE246554 | GEO
2024-02-14 | GSE241621 | GEO
2020-05-03 | GSE89596 | GEO