17 research outputs found
Polygenic Prediction of Weight and Obesity Trajectories from Birth to Adulthood
Severe obesity is a rapidly growing global health threat. Although often attributed to unhealthy lifestyle choices or environmental factors, obesity is known to be heritable and highly polygenic; the majority of inherited susceptibility is related to the cumulative effect of many common DNA variants. Here we derive and validate a new polygenic predictor comprised of 2.1 million common variants to quantify this susceptibility and test this predictor in more than 300,000 individuals ranging from middle age to birth. Among middle-aged adults, we observe a 13-kg gradient in weight and a 25-fold gradient in risk of severe obesity across polygenic score deciles. In a longitudinal birth cohort, we note minimal differences in birthweight across score deciles, but a significant gradient emerged in early childhood and reached 12 kg by 18 years of age. This new approach to quantify inherited susceptibility to obesity affords new opportunities for clinical prevention and mechanistic assessment. © 2019 Author(s)National Human Genome Research Institute (1K08HG0101)Wellcome Trust (202802/Z/16/Z)University of Bristol NIHR Biomedical Research Centre (S- BRC-1215-20011)National Human Genome Research Institute (HG008895)National Heart, Lung, and Blood Institute (NHLBI) HHSN268201300025CNational Heart, Lung, and Blood Institute (NHLBI) HHSN268201300026CNational Heart, Lung, and Blood Institute (NHLBI) HHSN268201300027CNational Heart, Lung, and Blood Institute (NHLBI) HHSN268201300028CNational Heart, Lung, and Blood Institute (NHLBI) HHSN268201300029CNational Heart, Lung, and Blood Institute (NHLBI) HHSN268200900041CNational Institute on Aging (AG0005)NHLBI (AG0005)National Human Genome Research Institute (U01-HG004729)National Human Genome Research Institute (U01-HG04424)National Human Genome Research Institute (U01-HG004446)Wellcome (102215/2/13/2
Patterns of homozygosity in patients with uniparental disomy: detection rate and suggested reporting thresholds for SNP microarrays
An assessment of the role of vinculin (VCL) loss of function variants in inherited cardiomyopathy.
The ACMG/AMP variant classification framework was intended for highly penetrant Mendelian conditions. While it is appreciated that clinically relevant variants exhibit a wide spectrum of penetrance, accurately assessing and expressing the pathogenicity of variants with lower penetrance can be challenging. The vinculin gene (VCL) illustrates these challenges. Model organism data provides evidence that loss of function of VCL may play a role in cardiomyopathy and aggregate case-control studies suggest low penetrance. VCL loss of function variants, however, are rarely identified in affected probands and therefore there is a paucity of family studies clarifying the clinical significance of individual variants. This study, which aggregated data from >18,000 individuals who underwent gene panel or exome testing for inherited cardiomyopathies, identified 32 probands with VCL loss-of-function variants and confirmed enrichment in probands with dilated cardiomyopathy (OR= 9.01; CI=4.93-16.45). Our data revealed that the majority of these individuals (89.5%) had pediatric onset of disease. Family studies demonstrated that heterozygous loss of function of VCL alone is insufficient to cause cardiomyopathy but that these variants do contribute to disease risk. In conclusion, VCL loss-of-function variants should be reported in a diagnostic setting but need to be clearly distinguished as having lower penetrance
ACMG Standards and Guidelines for constitutional cytogenomic microarray analysis, including postnatal and prenatal applications: revision 2013
Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data
Exploring the feasibility of delivering standardized genomic care using ophthalmology as an example
Purpose:
Broadening access to genomic testing and counseling will be necessary to realize the benefits of personalized health care. This study aimed to assess the feasibility of delivering a standardized genomic care model for inherited retinal dystrophy (IRD) and of using selected measures to quantify its impact on patients.
Methods:
A pre-/post- prospective cohort study recruited 98 patients affected by IRD to receive standardized multidisciplinary care. A checklist was used to assess the fidelity of the care process. Three patient-reported outcome measures—the Genetic Counselling Outcome Scale (GCOS-24), the ICEpop CAPability measure for Adults (ICECAP-A), and the EuroQol 5-dimension questionnaire (EQ-5D)—and a resource-use questionnaire were administered to investigate rates of missingness, ceiling effects, and changes over time.
Results:
The care model was delivered consistently. Higher rates of missingness were found for the genetic-specific measure (GCOS-24). Considerable ceiling effects were observed for the generic measure (EQ-5D). The ICECAP-A yielded less missing data without significant ceiling effects. It was feasible to use telephone interviews for follow-up data collection.
Conclusion:
The study highlighted challenges and solutions associated with efforts to standardize genomic care for IRD. The study identified appropriate methods for a future definitive study to assess the clinical effectiveness and cost-effectiveness of the care model
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Electronic Health Record Phenotype in Subjects with Genetic Variants Associated with Arrhythmogenic Right Ventricular Cardiomyopathy: A Study in 30,716 Subjects with Exome Sequencing: Genotype-Phenotype Association in Incidental ARVC Genetic Findings
Purpose Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart disease. Clinical follow-up of incidental findings in ARVC-associated genes is recommended. We aimed to determine the prevalence of disease thus ascertained. Methods: 30,716 individuals underwent exome sequencing. Variants in PKP2, DSG2, DSC2, DSP, JUP, TMEM43, or TGFβ3 that were database-listed as pathogenic or likely pathogenic were identified and evidence-reviewed. For subjects with putative loss-of-function (pLOF) variants or variants of uncertain significance (VUS), electronic health records (EHR) were reviewed for ARVC diagnosis, diagnostic criteria, and International Classification of Diseases (ICD-9) codes. Results: 18 subjects had pLOF variants; none had an EHR diagnosis of ARVC. Of 14 patients with an electrocardiogram (ECG), one had a minor diagnostic criterion, 13 were normal. 184 subjects had VUSs; none had an ARVC diagnosis. In subjects with VUSs, there was no difference in the proportion with major (4%) or minor (13%) ECG diagnostic criteria compared to variant-negative controls. ICD-9 codes showed no difference in defibrillator utilization, electrophysiologic abnormalities or non-ischemic cardiomyopathies in patients with pLOF or VUSs compared to controls. Conclusion: pLOF variants in an unselected cohort were not associated with ARVC phenotypes based on EHR review. The negative predictive value of EHR review remains uncertain
Juvenile myelomonocytic leukemia-associated variants are associated with neo-natal lethal Noonan syndrome
The challenges and opportunities of offering and integrating training in clinical molecular genetics and clinical cytogenetics: A survey of LGG Fellowship Program Directors
Purpose: The specialty of Laboratory Genetics and Genomics (LGG) was created in 2017 in an effort to reflect the increasing convergence in technologies and approaches between clinical molecular genetics and clinical cytogenetics. However, there has not yet been any formal evaluation of the merging of these disciplines and the challenges faced by Program Directors (PDs) tasked with ensuring the successful training of laboratory geneticists under the new model. Methods: An electronic multi-question Qualtrics survey was created and was sent to the PD for each of the Accreditation Council for Graduate Medical Education–accredited LGG fellowship programs at the time. The data were collected, and the responses were aggregated for each question. Results: All of the responding PDs had started training at least 1 LGG fellow. PDs noted challenges with funding, staff shortages, molecular/cytogenetics content integration, limited total training time, increased remote work, increased sendout testing, and a lack of prior cytogenetics knowledge among incoming fellows. Conclusion: This survey attempted to assess the challenges that LGG PDs have been facing in offering and integrating clinical molecular genetics and clinical cytogenetics fellowship training. Common challenges between programs were noted, and a set of 6 concluding comments are provided to facilitate future discussion