Introduction of the genetic counseling profession by teachers in BIPOC-majority high schools.

The field of genetic counseling is racially and ethnically (RE) homogenous, with 90% of genetic counselors identifying as white. As awareness of genetic counseling increases interest in the career, one proposed method to increase the profession's RE diversity is to introduce genetic counseling as a career option to Black, Indigenous, and people of color (BIPOC) students during high school. This study explores the knowledge, presentation, and perceptions of the genetic counseling profession by high school teachers at BIPOC-majority high schools in the United States (US). Science teachers working at public high schools in Massachusetts and New York where greater than 75% of the student body identifies as BIPOC were invited to participate in a survey and focus groups for this study. A total of 456 teachers participated in the survey and a total of seven teachers participated in two focus groups. The survey data revealed that most (91.8%) participating teachers presented genetic counseling, though BIPOC-identifying teachers were more likely to report never presenting genetic counseling than white-identifying teachers. In addition, teachers' knowledge of the genetic counseling career and frequency of presenting it were strongly associated, suggesting that increasing knowledge of genetic counseling among teachers, particularly those who are BIPOC-identifying, could lead to increased presentation to BIPOC students. Major themes that emerged through the focus groups included (1) teachers perceiving genetic counseling as novel and complex in comparison to other healthcare professions, (2) teachers sharing that multiple methods can and should be used when introducing genetic counseling to students, and (3) the notion that teachers could have an important role in introducing genetic counseling to their students. Considering findings from the survey and focus groups, recommendations from this study include increasing awareness of genetic counseling among BIPOC-identifying science teachers at BIPOC-majority high schools, gradually introducing genetic counseling topics to students beginning at a young age, and utilizing student-led teaching activities.

Heterozygous Variants in KMT2E Cause a Spectrum of Neurodevelopmental Disorders and Epilepsy.

We delineate a KMT2E-related neurodevelopmental disorder on the basis of 38 individuals in 36 families. This study includes 31 distinct heterozygous variants in KMT2E (28 ascertained from Matchmaker Exchange and three previously reported), and four individuals with chromosome 7q22.2-22.23 microdeletions encompassing KMT2E (one previously reported). Almost all variants occurred de novo, and most were truncating. Most affected individuals with protein-truncating variants presented with mild intellectual disability. One-quarter of individuals met criteria for autism. Additional common features include macrocephaly, hypotonia, functional gastrointestinal abnormalities, and a subtle facial gestalt. Epilepsy was present in about one-fifth of individuals with truncating variants and was responsive to treatment with anti-epileptic medications in almost all. More than 70% of the individuals were male, and expressivity was variable by sex; epilepsy was more common in females and autism more common in males. The four individuals with microdeletions encompassing KMT2E generally presented similarly to those with truncating variants, but the degree of developmental delay was greater. The group of four individuals with missense variants in KMT2E presented with the most severe developmental delays. Epilepsy was present in all individuals with missense variants, often manifesting as treatment-resistant infantile epileptic encephalopathy. Microcephaly was also common in this group. Haploinsufficiency versus gain-of-function or dominant-negative effects specific to these missense variants in KMT2E might explain this divergence in phenotype, but requires independent validation. Disruptive variants in KMT2E are an under-recognized cause of neurodevelopmental abnormalities.

Expansion of the Genotypic and Phenotypic Spectrum of ASH1L-Related Syndromic Neurodevelopmental Disorder.

Pathogenic ASH1L variants have been reported in probands with broad phenotypic presentations, including intellectual disability, autism spectrum disorder, attention deficit hyperactivity disorder, seizures, congenital anomalies, and other skeletal, muscular, and sleep differences. Here, we review previously published individuals with pathogenic ASH1L variants and report three further probands with novel ASH1L variants and previously unreported phenotypic features, including mixed receptive language disorder and gait disturbances. These novel data from the Brain Gene Registry, an accessible repository of clinically derived genotypic and phenotypic data, have allowed for the expansion of the phenotypic and genotypic spectrum of this condition.

Clinical utility of a genetic diagnosis in individuals with cerebral palsy and related motor disorders.

OBJECTIVE: Evaluation of the clinical utility of a genetic diagnosis in CP remains limited. We aimed to characterize the clinical utility of a genetic diagnosis by exome sequencing (ES) in patients with CP and related motor disorders. METHODS: We enrolled participants with CP and "CP masquerading" conditions in an institutional ES initiative. In those with genetic diagnoses who had clinical visits to discuss results, we retrospectively reviewed medical charts, evaluating recommendations based on the genetic diagnosis pertaining to medication intervention, surveillance initiation, variant-specific testing, and patient education. RESULTS: We included 30 individuals with a molecular diagnosis and clinical follow-up. Nearly all (28 out of 30) had clinical impact resulting from the genetic diagnosis. Medication interventions included recommendation of mitochondrial multivitamin supplementation (6.67%, n = 2), ketogenic diet (3.33%, n = 1), and fasting avoidance (3.33%, n = 1). Surveillance-related actions included recommendations for investigating systemic complications (40%, n = 12); referral to new specialists to screen for systemic manifestations (33%, n = 10); continued follow-up with established specialists to focus on specific manifestations (16.67%, n = 5); referral to clinical genetics (16.67%, n = 5) to oversee surveillance recommendations. Variant-specific actions included carrier testing (10%, n = 3) and testing of potentially affected relatives (3.33%, n = 1). Patient education-specific actions included referral to experts in the genetic disorder (30%, n = 9); and counseling about possible changes in prognosis, including recognition of disease progression and early mortality (36.67%, n = 11). INTERPRETATION: This study highlights the clinical utility of a genetic diagnosis for CP and "CP masquerading" conditions, evident by medication interventions, surveillance impact, family member testing, and patient education, including possible prognostic changes.

The Brain Gene Registry: a data snapshot.

Monogenic disorders account for a large proportion of population-attributable risk for neurodevelopmental disabilities. However, the data necessary to infer a causal relationship between a given genetic variant and a particular neurodevelopmental disorder is often lacking. Recognizing this scientific roadblock, 13 Intellectual and Developmental Disabilities Research Centers (IDDRCs) formed a consortium to create the Brain Gene Registry (BGR), a repository pairing clinical genetic data with phenotypic data from participants with variants in putative brain genes. Phenotypic profiles are assembled from the electronic health record (EHR) and a battery of remotely administered standardized assessments collectively referred to as the Rapid Neurobehavioral Assessment Protocol (RNAP), which include cognitive, neurologic, and neuropsychiatric assessments, as well as assessments for attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Co-enrollment of BGR participants in the Clinical Genome Resource's (ClinGen's) GenomeConnect enables display of variant information in ClinVar. The BGR currently contains data on 479 participants who are 55% male, 6% Asian, 6% Black or African American, 76% white, and 12% Hispanic/Latine. Over 200 genes are represented in the BGR, with 12 or more participants harboring variants in each of these genes: CACNA1A, DNMT3A, SLC6A1, SETD5, and MYT1L. More than 30% of variants are de novo and 43% are classified as variants of uncertain significance (VUSs). Mean standard scores on cognitive or developmental screens are below average for the BGR cohort. EHR data reveal developmental delay as the earliest and most common diagnosis in this sample, followed by speech and language disorders, ASD, and ADHD. BGR data has already been used to accelerate gene-disease validity curation of 36 genes evaluated by ClinGen's BGR Intellectual Disability (ID)-Autism (ASD) Gene Curation Expert Panel. In summary, the BGR is a resource for use by stakeholders interested in advancing translational research for brain genes and continues to recruit participants with clinically reported variants to establish a rich and well-characterized national resource to promote research on neurodevelopmental disorders.

Toward representative genomic research: the children's rare disease cohorts experience.

Background: Due to racial, cultural, and linguistic marginalization, some populations experience disproportionate barriers to genetic testing in both clinical and research settings. It is difficult to track such disparities due to non-inclusive self-reported race and ethnicity categories within the electronic health record (EHR). Inclusion and access for all populations is critical to achieve health equity and to capture the full spectrum of rare genetic disease. Objective: We aimed to create revised race and ethnicity categories. Additionally, we identified racial and ethnic under-representation amongst three cohorts: (1) the general Boston Children's Hospital patient population (general BCH), (2) the BCH patient population that underwent clinical genomic testing (clinical sequencing), and (3) Children's Rare Disease Cohort (CRDC) research initiative participants. Design and Methods: Race and ethnicity data were collected from the EHRs of the general BCH, clinical sequencing, and CRDC cohorts. We constructed a single comprehensive set of race and ethnicity categories. EHR-based race and ethnicity variables were mapped within each cohort to the revised categories. Then, the numbers of patients within each revised race and ethnicity category were compared across cohorts. Results: There was a significantly lower percentage of Black or African American/African, non-Hispanic/non-Latine individuals in the CRDC cohort compared with the general BCH cohort, but there was no statistically significant difference between the CRDC and the clinical sequencing cohorts. There was a significantly lower percentage of multi-racial, Hispanic/Latine individuals in the CRDC cohort than the clinical sequencing cohort. White, non-Hispanic/non-Latine individuals were over-represented in the CRDC compared to the two other groups. Conclusion: We highlight underrepresentation of certain racial and ethnic populations in sequencing cohorts compared to the general hospital population. We propose a range of measures to address these disparities, to strive for equitable future precision medicine-based clinical care and for the benefit of the whole rare disease community.

Racial and ethnic representation amongst general clinics, clinics that provide genetic testing, and genomic-based research at Boston Children's Hospital Background: Individuals who identify as belonging to a race or ethnicity that has been historically excluded from mainstream cultural, political, and economic activities ('historically marginalized') experience barriers to clinical care. These barriers are further complicated for families touched by rare genetic conditions. Obstacles can present as accessibility issues (transportation, financial, linguistic), low-quality medical care, or inadequate inclusion in research. It is important to have representation within rare disease research so that the full scope of these conditions is understood, leading to better patient care for all, and for health equity. Objective: We aimed to (1) to create new and inclusive race and ethnicity categories for the electronic health record (EHR) and (2) identify differences in racial and ethnic representation amongst patients generally seen at Boston Children's Hospital (general BCH), those who received genetic testing in a clinic at Boston Children's Hospital (clinical sequencing), and participants who enrolled in the CRDC research project at Boston Children's Hospital (CRDC). Design and Methods: We combined race and ethnicity categories to make more inclusive options than existing EHR categories. Differences in race and ethnicity representation were observed when looking at the three different patient groups (general BCH, clinical sequencing, and CRDC). Results: We observed a lower percentage of individuals who self-identify as Black or African American/African, non-Hispanic/non-Latine in the genetic testing groups (both research and clinical) than in the general BCH group. Individuals who self-identify as multi-racial, Hispanic/Latine are also under-represented in the CRDC research compared to the two other groups. The highest population percentage seen in all groups was that of patients who identify as White, non-Hispanic/non-Latine. This group was over-represented in the research CRDC group compared to the two others. Conclusion: Our study found that patients who are historically marginalized are underrepresented in clinical genetic testing and genomic research studies compared to their White counterparts. In order to benefit all patients with rare genetic conditions, these differences must be addressed by improving access to specialty physicians/researchers and incorporating inclusive language in the EHR, clinics, and research protocols.

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.

Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.