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Deep mutational scanning of CHD2 for variant interpretation in neurodevelopmental disorders [RNA-seq]

ABSTRACT: De novo pathogenic variants in CHD2 are one of the most common causes of the neurodevelopmental disorders (NDDs) that include refractory epilepsy, intellectual disability and autism spectrum disorders. In addition, somatic CHD2 variants, acquired later in life, are highly recurrent in certain types of leukemias. For both types of conditions, loss-of-CHD2 function is the likely pathogenic mechanism, and most variants are truncations. However, there is also evidence that missense variants can disrupt or abrogate CHD2 function, leading to loss-of-function, though they are harder to interpret, and many are classified as variants of uncertain significance (VUS). VUS are one of the biggest challenges for human geneticists, and represent the biggest class of variants returned on clinical genetic test reports, in part because we have a poor understanding of how missense variants impact protein function. Our research addresses these challenges by developing a multiplex assay of variant effect (MAVE) to discriminate between pathogenic and benign missense variants. We leveraged the fact that CHD2 is a chromatin remodeler and thus affects gene expression, protein abundance and the DNA methylation landscape to attempt to develop high-throughput assays. We aimed to establish a CHD2 transcriptomic signature using mRNA sequencing from multiple pathogenic and benign variant HAP1 cell lines. While CHD2 is a well-known chromatin remodeler and is expressed at appreciable levels in these cells, we were unable to establish a CHD2-related transcriptomic signature in HAP1s, possibly due to the cell line choice as most manifestations in patients are neurological.

ORGANISM(S): Homo sapiens

PROVIDER: GSE316724 | GEO | 2026/02/01

REPOSITORIES: GEO

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Project description:Germline BRCA2 loss-of function (LOF) variants identified by clinical genetic testing predispose to breast, ovarian, prostate and pancreatic cancer. However, variants of uncertain significance (VUS) (n>5000) limit the clinical use of testing results. Thus, there is an urgent need for functional characterization and clinical classification of all BRCA2 variants. Here we report on comprehensive saturation genome editing-based functional characterization of 99% of all possible single nucleotide variants (SNVs) in the BRCA2 DNA Binding Domain hotspot for pathogenic missense variants that is encoded by exons 15 to 26. The assay was based on deep sequence analysis of HAP1 haploid cells endogenously targeted using a CRISPR/cas9 knockin approach. A total of 6959 SNVs were characterized for effects on cell survival. The assay was validated relative to nonsense and synonymous variants, ClinVar pathogenic/likely pathogenic and benign/likely benign variants and homology directed repair cell based DNA repair assay results, all of which showed >94% sensitivity and specificity. Variants were assigned posterior probabilities of pathogenicity using a VarCall two component Bayesian mixture model and were further grouped according to ACMG strength of evidence under the PS3/BS3 rule resulting in Benign Strong (n=5430), Benign Moderate (n=190), Benign Supporting (n=61), VUS (122), Pathogenic Strong (n=1021), Pathogenic Moderate (n=88), and Pathogenic Supporting (n=47). Breast cancer case-control association studies showed that pooled SNVs encoding functionally pathogenic missense variants were associated with increased risks of breast (odds ratio (OR)3.81, 95%CI: 2.88-5.07) and ovarian cancer (OR 5.93, 95%CI: 4.12-8.52). The functional data were also combined with other sources of information in the ClinGen BRCA1/2 VCEP ACMG/AMP-classification model. A total of 785 SNVs, including 261 missense SNVs, were classified as pathogenic or likely pathogenic, while 5566 SNVs, including 3786 missense SNVs, were classified as benign or likely benign. These classified variants can now be used for risk assessment and clinical care of variant carriers.

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Deep mutational scanning of CHD2 for variant interpretation in neurodevelopmental disorders [RNA-seq]

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