The Role of Parental Cognitive, Behavioral, and Motor Profiles in Clinical Variability in Individuals with Chromosome 16p11.2 Deletions

Importance Most disorders caused by copy number variants (CNVs) display significant clinical variability, often referred to as incomplete penetrance and variable expressivity. Genetic and environmental sources of this variability are not well understood. Objectives To investigate the contributors to phenotypic variability in probands with CNVs involving the same genomic region; to measure the effect size for de novo mutation events; and to explore the contribution of familial background to resulting cognitive, behavioral, and motor performance outcomes in probands with de novo CNVs. Design, Setting, and Participants Family-based study design with a volunteer sample of 56 individuals with de novo 16p11.2 deletions and their noncarrier parents and siblings from the Simons Variation in Individuals Project. Main Outcomes and Measures We used linear mixed-model analysis to measure effect size and intraclass correlation to determine the influence of family background for a de novo CNV on quantitative traits representing the following 3 neurodevelopmental domains: cognitive ability (Full-Scale IQ), social behavior (Social Responsiveness Scale), and neuromotor performance (Purdue Pegboard Test). We included an anthropometric trait, body mass index, for comparison. Results A significant deleterious effect of the 16p11.2 deletion was demonstrated across all domains. Relative to the biparental mean, the effect sizes were −1.7 SD for cognitive ability, 2.2 SD for social behavior, and −1.3 SD for neuromotor performance (P \u3c .001). Despite large deleterious effects, significant positive correlations between parents and probands were preserved for the Full-Scale IQ (0.42 [P = .03]), the verbal IQ (0.53 [P = .004]), and the Social Responsiveness Scale (0.52 [P = .009]) scores. We also observed a 1-SD increase in the body mass index of probands compared with siblings, with an intraclass correlation of 0.40 (P = .07). Conclusions and Relevance Analysis of families with de novo CNVs provides the least confounded estimate of the effect size of the 16p11.2 deletion on heritable, quantitative traits and demonstrates a 1- to 2-SD effect across all neurodevelopmental dimensions. Significant parent-proband correlations indicate that family background contributes to the phenotypic variability seen in this and perhaps other CNV disorders and may have implications for counseling families regarding their children’s developmental and psychiatric prognoses. Use of biparental mean scores rather than general population mean scores may be more relevant to examine the effect of a mutation or any other cause of trait variation on a neurodevelopmental outcome and possibly on systems of diagnosis and trait ascertainment for developmental disorders

Evaluating the association of biallelic OGDHL variants with significant phenotypic heterogeneity

BACKGROUND: Biallelic variants in OGDHL, encoding part of the α-ketoglutarate dehydrogenase complex, have been associated with highly heterogeneous neurological and neurodevelopmental disorders. However, the validity of this association remains to be confirmed. A second OGDHL patient cohort was recruited to carefully assess the gene-disease relationship. METHODS: Using an unbiased genotype-first approach, we screened large, multiethnic aggregated sequencing datasets worldwide for biallelic OGDHL variants. We used CRISPR/Cas9 to generate zebrafish knockouts of ogdhl, ogdh paralogs, and dhtkd1 to investigate functional relationships and impact during development. Functional complementation with patient variant transcripts was conducted to systematically assess protein functionality as a readout for pathogenicity. RESULTS: A cohort of 14 individuals from 12 unrelated families exhibited highly variable clinical phenotypes, with the majority of them presenting at least one additional variant, potentially accounting for a blended phenotype and complicating phenotypic understanding. We also uncovered extreme clinical heterogeneity and high allele frequencies, occasionally incompatible with a fully penetrant recessive disorder. Human cDNA of previously described and new variants were tested in an ogdhl zebrafish knockout model, adding functional evidence for variant reclassification. We disclosed evidence of hypomorphic alleles as well as a loss-of-function variant without deleterious effects in zebrafish variant testing also showing discordant familial segregation, challenging the relationship of OGDHL as a conventional Mendelian gene. Going further, we uncovered evidence for a complex compensatory relationship among OGDH, OGDHL, and DHTKD1 isoenzymes that are associated with neurodevelopmental disorders and exhibit complex transcriptional compensation patterns with partial functional redundancy. CONCLUSIONS: Based on the results of genetic, clinical, and functional studies, we formed three hypotheses in which to frame observations: biallelic OGDHL variants lead to a highly variable monogenic disorder, variants in OGDHL are following a complex pattern of inheritance, or they may not be causative at all. Our study further highlights the continuing challenges of assessing the validity of reported disease-gene associations and effects of variants identified in these genes. This is particularly more complicated in making genetic diagnoses based on identification of variants in genes presenting a highly heterogenous phenotype such as "OGDHL-related disorders"

Developmental Brain Dysfunction: Revival and Expansion of Old Concepts Based on New Genetic Evidence

Neurodevelopmental disorders can be caused by many different genetic abnormalities that are individually rare but collectively common. Specific genetic causes, including certain copy number variants and single-gene mutations, are shared among disorders that are thought to be clinically distinct. This evidence of variability in the clinical manifestations of individual genetic variants and sharing of genetic causes among clinically distinct brain disorders is consistent with the concept of developmental brain dysfunction, a term we use to describe the abnormal brain function underlying a group of neurodevelopmental and neuropsychiatric disorders and to encompass a subset of various clinical diagnoses. Although many pathogenic genetic variants are currently thought to be variably penetrant, we hypothesise that when disorders encompassed by developmental brain dysfunction are considered as a group, the penetrance will approach 100%. The penetrance is also predicted to approach 100% when the phenotype being considered is a specific trait, such as intelligence or autistic-like social impairment, and the trait could be assessed using a continuous, quantitative measure to compare probands with non-carrier family members rather than a qualitative, dichotomous trait and comparing probands with the healthy population. Copyright 2013 Elsevier Ltd. All rights reserved

Insufficient Evidence for “Autism-Specific” Genes

Despite the evidence that deleterious variants in the same genes are implicated across multiple neurodevelopmental disorders, there has been considerable interest in identifying genes that, when mutated, confer risk that is largely specific for autism spectrum disorder (ASD). Here, we review recent efforts to identify “autism-specific” genes, which focus on rare variants of large effect size that are thought to account for the observed phenotype in participants, present a divergent interpretation of the published evidence, and provide additional contradictory data. There is currently insufficient evidence to establish ASD-specificity of any genes based on large-effect rare variant data

GATAD2B-Associated Neurodevelopmental Disorder (GAND): Clinical and Molecular Insights Into a NuRD-Related Disorder

Purpose: Determination of genotypic/phenotypic features of GATAD2B-associated neurodevelopmental disorder(GAND). Methods: Fifty GAND subjects were evaluated to determine consistentgenotypic/phenotypic features. Immunoprecipitation assays utilizing in vitrotranscription–translation products were used to evaluate GATAD2B missensevariants’ ability to interact with binding partners within the nucleosomeremodeling and deacetylase (NuRD) complex. Results: Subjects had clinical findings that included macrocephaly,hypotonia, intellectual disability, neonatal feeding issues, polyhydramnios,apraxia of speech, epilepsy, and bicuspid aortic valves. Forty-one novelGATAD2B variants were identified withmultiple variant types (nonsense, truncating frameshift, splice-site variants,deletions, and missense). Seven subjects were identified with missense variantsthat localized within two conserved region domains (CR1 or CR2) of the GATAD2Bprotein. Immunoprecipitation assays revealed several of these missense variantsdisrupted GATAD2B interactions with its NuRD complex binding partners. Conclusions: A consistent GAND phenotype was caused by a range of geneticvariants in GATAD2B that includeloss-of-function and missense subtypes. Missense variants were present inconserved region domains that disrupted assembly of NuRD complex proteins.GAND’s clinical phenotype had substantial clinical overlap with other disordersassociated with the NuRD complex that involve CHD3 and CHD4, with clinicalfeatures of hypotonia, intellectual disability, cardiac defects, childhoodapraxia of speech, and macrocephaly

Correction: GATAD2B-Associated Neurodevelopmental Disorder (GAND): Clinical and Molecular Insights Into a Nurd-Related Disorder (Genetics in Medicine, (Genetics in Medicine, (2020), 10.1038/s41436-019-0747-z)

An amendment to this paper has been published and can be accessed via a link at the top of the paper

Correction: GATAD2B-associated neurodevelopmental disorder (GAND): clinical and molecular insights into a NuRD-related disorder

An amendment to this paper has been published and can be accessed via a link at the top of the paper