👤 Nicole S Klee

Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder that increases risk for premature coronary artery disease and has accessible and effective interventions. The Dutch lipid clinic network is currently the most used diagnostic criterion; however, genetic sequencing provides a definitive diagnosis of FH. The goals of this study were to determine whether germline genetic screening using exome sequencing could be used to efficiently identify individuals who were genotype positive for FH. Participants were recruited from 3 geographically and racially diverse sites in the United States (Rochester, MN; Phoenix, AZ; and Jacksonville, FL). Participants underwent Exome+ sequencing (dba Helix, San Mateo, CA) and return of results for specific genetic findings in At the time of the study, 84 413 participants were enrolled in the Tapestry study. Annotation and interpretation of all variants in genes for FH resulted in the identification of 419 likely pathogenic and pathogenic variants (prevalence, 0.50%), which included 116 Our results emphasize the need for wider utilization of germline genetic sequencing for enhanced screening and detection of individuals who have familial hypercholesterolemia. URL: https://www.clinicaltrials.gov; Unique identifier: NCT05212428. Show less

To execute a large-scale, decentralized, clinical-grade whole exome sequencing study, coined Tapestry, for clinical practice, research discovery, and genomic education. Between July 1, 2020, and May 31, 2024, we invited 1,287,608 adult Mayo Clinic patients to participate in Tapestry. Of those contacted, 114,673 patients were consented and 98,222 (65.2% women) are currently enrolled: 62,495 (63.6%) were recruited from Minnesota-, 18,353 (18.7%) from Florida- and 17,374 (17.7%) from Arizona-based practices. Saliva from participants was used to extract DNA, and whole exome sequencing plus ∼300,000 single nucleotide polymorphisms (ie, Exome+ assay) were sequenced by a clinical lab. Results for the Centers for Disease Control and Prevention Tier 1 genes (eg, hereditary breast, ovarian cancer syndrome: BRCA1/2; Lynch syndrome: MLH1, MSH2, MSH6, PMS2, and EPCAM; and familial hypercholesterolemia: APOB, LDLR, PCSK9, and LDLRAP1) were interpreted and entered into the electronic health record. The median age of participants was 59.1 years and ∼11% were from racial/ethnic groups under-represented in research. One thousand eight hundred nineteen (1.9%) participants had actionable pathogenic or likely pathogenic variants (50.0% BRCA1/2, 28.4% familial hypercholesterolemia, and 22.2% Lynch syndrome). Positive results were communicated by genetic counselors who educated patients and providers. Thus far, 62,758 patients' Exome+ assays are stored for research, and the Tapestry Data Access Committee has received 118 requests from investigators, of which 82 have been approved, resulting in the delivery of 1,117,410 Exome+ assays to researchers. A large, decentralized, clinical Exome+ assay study in a tertiary medical center detects actionable germline variants, educates patients as well as providers, and offers access to big data for discovery that advances human health. clinicaltrials.gov Identifier: NCT05212428. Show less

To determine the prevalence, penetrance, and disease expression of cardiomyopathy-related genetic variants in an unselected, richly phenotyped Mayo Clinic population in the setting of preemptive sequencing, with return of incidental findings following the American College of Medical Genetics and Genomics recommendations. We analyzed a quaternary medical center-based biobank cohort (n=983) for reportable variants in 15 cardiomyopathy genes. Prioritization of genetic variants was performed using an internally developed pipeline to identify potentially reportable variants. Prioritized variants were then manually curated. The correlation of likely pathogenic/pathogenic (LP/P) variants with clinical phenotypes and outcomes was established. Artificial intelligence-enabled electrocardiographic predictions of reduced left ventricular ejection fraction and hypertrophic cardiomyopathy were applied to genotype-positive (G+) participants. Of the 983 patients, 11 (1%) were G+, with 11 LP/P variants found in the MYBPC3, DSG2, MYH7, DSP, and PKP2 genes. All G+ participants underwent electrocardiography, and 10 (90%) underwent echocardiography. Most patients (10 [90%]) did not have a prior diagnosis of cardiomyopathy. Definitive disease penetrance (heart failure or cardiomyopathy) was present in 4 (36%), while 3 (27%) had possible penetrance (structural heart disease identified by echocardiography). Arrhythmias and/or cardiac conduction disease was present in 4 of 11 G+ individuals (36%). Artificial intelligence-electrocardiography was positive for hypertrophic cardiomyopathy or reduced left ventricular ejection fraction in 5 of the G+ participants (45%), of whom 4 (80%) had definitive or possible disease penetrance. Cardiomyopathy-associated LP/P variants are present in a small subset of a quaternary medical center population, and disease penetrance in G+ individuals is high in the form of cardiac structural abnormalities and heart failure. Show less

The Jumonji domain containing 1C (JMJD1C) gene encodes the Jumonji domain-containing protein 1C (JMJD1C) and is a member of the jmJC domain-containing protein family involved in histone demethylation that is expressed in the brain. We report seven, unrelated patients with developmental delays or intellectual disability and heterozygous, de novo sequence variants in JMJD1C. All patients had developmental delays, but there were no consistent additional findings. Two patients were reported to have seizures for which there was no other identified cause. De novo, deleterious sequence variants in JMJD1C have previously been reported in patients with autism spectrum disorder and a phenotype resembling classical Rett syndrome, but only one JMJD1C variant has undergone functional evaluation. In all of the seven patients in this report, there was a plausible, alternative explanation for the neurocognitive phenotype or a modifying factor, such as an additional potentially pathogenic variant, presence of the variant in a population database, heteroplasmy for a mitochondrial variant or mosaicism for the JMJD1C variant. Although the de novo variants in JMJD1C are likely to be relevant to the developmental phenotypes observed in these patients, we conclude that further data supporting the association of JMJD1C variants with intellectual disability is still needed. Show less

Insufficient autophagy has been proposed as a mechanism of cellular aging, as this leads to the accumulation of dysfunctional macromolecules and organelles. Premature vascular aging occurs in hypertension. In fact, many factors that contribute to the deterioration of vascular function as we age are accelerated in clinical and experimental hypertension. Previously, we have reported decreased autophagy in arteries from spontaneously hypertensive rats (SHRs); however, the effects of restoring autophagic activity on blood pressure and vascular function are currently unknown. We hypothesized that reconstitution of arterial autophagy in SHRs would decrease blood pressure and improve endothelium-dependent relaxation. We treated 14- to 18-wk-old Wistar rats ( Show less

We describe a patient presenting with pachygyria, epilepsy, developmental delay, short stature, failure to thrive, facial dysmorphisms, and multiple osteochondromas. The patient underwent extensive genetic testing and analysis in an attempt to diagnose the cause of his condition. Clinical testing included metaphase karyotyping, array comparative genomic hybridization, direct sequencing and multiplex ligation-dependent probe amplification and trio-based exome sequencing. Subsequently, research-based whole transcriptome sequencing was conducted to determine whether it might shed light on the undiagnosed phenotype. Clinical exome sequencing of patient and parent samples revealed a maternally inherited splice-site variant in the doublecortin (DCX) gene that was classified as likely pathogenic and diagnostic of the patient's neurological phenotype. Clinical array comparative genome hybridization analysis revealed a 16p13.3 deletion that could not be linked to the patient phenotype based on affected genes. Further clinical testing to determine the cause of the patient's multiple osteochondromas was unrevealing despite extensive profiling of the most likely causative genes, EXT1 and EXT2, including mutation screening by direct sequence analysis and multiplex ligation-dependent probe amplification. Whole transcriptome sequencing identified a SAMD12-EXT1 fusion transcript that could have resulted from a chromosomal deletion, leading to the loss of EXT1 function. Re-review of the clinical array comparative genomic hybridization results indicated a possible unreported mosaic deletion affecting the SAMD12 and EXT1 genes that corresponded precisely to the introns predicted to be affected by a fusion-causing deletion. The existence of the mosaic deletion was subsequently confirmed clinically by an increased density copy number array and orthogonal methodologies CONCLUSIONS: While mosaic mutations and deletions of EXT1 and EXT2 have been reported in the context of multiple osteochondromas, to our knowledge, this is the first time that transcriptomics technologies have been used to diagnose a patient via fusion transcript analysis in the congenital disease setting. Show less