ABSTRACT
Cerebral creatine deficiency syndromes (CCDS) are inherited metabolic phenotypes of creatine synthesis and transport. There are two enzyme deficiencies, guanidinoacetate methyltransferase (GAMT), encoded by GAMT and arginine-glycine amidinotransferase (AGAT), encoded by GATM, which are involved in the synthesis of creatine. After synthesis, creatine is taken up by a sodium-dependent membrane bound creatine transporter (CRTR), encoded by SLC6A8, into all organs. Creatine uptake is very important especially in high energy demanding organs such as the brain, and muscle. To classify the pathogenicity of variants in GAMT, GATM, and SLC6A8, we developed the CCDS Variant Curation Expert Panel (VCEP) in 2018, supported by The Clinical Genome Resource (ClinGen), a National Institutes of Health (NIH)-funded resource. We developed disease-specific variant classification guidelines for GAMT-, GATM-, and SLC6A8-related CCDS, adapted from the American College of Medical Genetics/Association of Molecular Pathology (ACMG/AMP) variant interpretation guidelines. We applied specific variant classification guidelines to 30 pilot variants in each of the three genes that have variants associated with CCDS. Our CCDS VCEP was approved by the ClinGen Sequence Variant Interpretation Working Group (SVI WG) and Clinical Domain Oversight Committee in July 2022. We curated 181 variants including 72 variants in GAMT, 45 variants in GATM, and 64 variants in SLC6A8 and submitted these classifications to ClinVar, a public variant database supported by the National Center for Biotechnology Information. Missense variants were the most common variant type in all three genes. We submitted 32 new variants and reclassified 34 variants with conflicting interpretations. We report specific phenotype (PP4) using a points system based on the urine and plasma guanidinoacetate and creatine levels, brain magnetic resonance spectroscopy (MRS) creatine level, and enzyme activity or creatine uptake in fibroblasts ranging from PP4, PP4_Moderate and PP4_Strong. Our CCDS VCEP is one of the first panels applying disease specific variant classification algorithms for an X-linked disease. The availability of these guidelines and classifications can guide molecular genetics and genomic laboratories and health care providers to assess the molecular diagnosis of individuals with a CCDS phenotype.
Subject(s)
Amidinotransferases , Amidinotransferases/deficiency , Amino Acid Metabolism, Inborn Errors , Creatine , Creatine/deficiency , Guanidinoacetate N-Methyltransferase , Intellectual Disability , Language Development Disorders , Movement Disorders/congenital , Nerve Tissue Proteins , Plasma Membrane Neurotransmitter Transport Proteins , Plasma Membrane Neurotransmitter Transport Proteins/deficiency , Speech Disorders , Humans , Guanidinoacetate N-Methyltransferase/deficiency , Guanidinoacetate N-Methyltransferase/genetics , Creatine/metabolism , Plasma Membrane Neurotransmitter Transport Proteins/genetics , Amidinotransferases/genetics , Amidinotransferases/metabolism , Mental Retardation, X-Linked/genetics , Mental Retardation, X-Linked/diagnosis , Mutation , Brain Diseases, Metabolic, Inborn/genetics , Brain Diseases, Metabolic, Inborn/diagnosis , Phenotype , Data Curation , Developmental DisabilitiesABSTRACT
Accurate determination of the clinical significance of genetic variants is critical to the integration of genomics in medicine. To facilitate this process, the NIH-funded Clinical Genome Resource (ClinGen) has assembled Variant Curation Expert Panels (VCEPs), groups of experts and biocurators which provide gene- and disease- specifications to the American College of Medical Genetics & Genomics and Association for Molecular Pathology's (ACMG/AMP) variation classification guidelines. With the goal of classifying the clinical significance of GAA variants in Pompe disease (Glycogen storage disease, type II), the ClinGen Lysosomal Diseases (LD) VCEP has specified the ACMG/AMP criteria for GAA. Variant classification can play an important role in confirming the diagnosis of Pompe disease as well as in the identification of carriers. Furthermore, since the inclusion of Pompe disease on the Recommended Uniform Screening Panel (RUSP) for newborns in the USA in 2015, the addition of molecular genetic testing has become an important component in the interpretation of newborn screening results, particularly for asymptomatic individuals. To date, the LD VCEP has submitted classifications and supporting data on 243 GAA variants to public databases, specifically ClinVar and the ClinGen Evidence Repository. Here, we describe the ACMG/AMP criteria specification process for GAA, an update of the GAA-specific variant classification guidelines, and comparison of the ClinGen LD VCEP's GAA variant classifications with variant classifications submitted to ClinVar. The LD VCEP has added to the publicly available knowledge on the pathogenicity of variants in GAA by increasing the number of expert-curated GAA variants present in ClinVar, and aids in resolving conflicting classifications and variants of uncertain clinical significance.
Subject(s)
Genetic Variation , Glycogen Storage Disease Type II , Infant, Newborn , Humans , United States , Genetic Testing/methods , Glycogen Storage Disease Type II/diagnosis , Glycogen Storage Disease Type II/genetics , Genome, Human , Genomics/methodsABSTRACT
Very long-chain acyl-CoA dehydrogenase (VLCAD) deficiency (VLCADD) is a relatively common inborn error of metabolism, but due to difficulty in accurately predicting affected status through newborn screening, molecular confirmation of the causative variants by sequencing of the ACADVL gene is necessary. Although the ACMG/AMP guidelines have helped standardize variant classification, ACADVL variant classification remains disparate due to a phenotype that can be nonspecific, the possibility of variants that produce late-onset disease, and relatively high carrier frequency, amongst other challenges. Therefore, an ACADVL-specific variant curation expert panel (VCEP) was created to facilitate the specification of the ACMG/AMP guidelines for VLCADD. We expect these guidelines to help streamline, increase concordance, and expedite the classification of ACADVL variants.
Subject(s)
Lipid Metabolism, Inborn Errors , Mitochondrial Diseases , Muscular Diseases , Humans , Infant, Newborn , Acyl-CoA Dehydrogenase, Long-Chain/genetics , Congenital Bone Marrow Failure Syndromes/genetics , Genetic Testing , Genetic Variation , Lipid Metabolism, Inborn Errors/diagnosis , Lipid Metabolism, Inborn Errors/genetics , Mitochondrial Diseases/genetics , Muscular Diseases/geneticsABSTRACT
Peroxisomal disorders are heterogeneous in nature, with phenotypic overlap that is indistinguishable without molecular testing. Newborn screening and gene sequencing for a panel of genes implicated in peroxisomal diseases are critical tools for the early and accurate detection of these disorders. It is therefore essential to evaluate the clinical validity of the genes included in sequencing panels for peroxisomal disorders. The Peroxisomal Gene Curation Expert Panel (GCEP) assessed genes frequently included on clinical peroxisomal testing panels using the Clinical Genome Resource (ClinGen) gene-disease validity curation framework and classified gene-disease relationships as Definitive, Strong, Moderate, Limited, Disputed, Refuted, or No Known Disease Relationship. Subsequent to gene curation, the GCEP made recommendations to update the disease nomenclature and ontology in the Monarch Disease Ontology (Mondo) database. Thirty-six genes were assessed for the strength of evidence supporting their role in peroxisomal disease, leading to 36 gene-disease relationships, after two genes were removed for their lack of a role in peroxisomal disease and two genes were curated for two different disease entities each. Of these, 23 were classified as Definitive (64%), one as Strong (3%), eight as Moderate (23%), two as Limited (5%), and two as No known disease relationship (5%). No contradictory evidence was found to classify any relationships as Disputed or Refuted. The gene-disease relationship curations are publicly available on the ClinGen website (https://clinicalgenome.org/affiliation/40049/). The changes to peroxisomal disease nomenclature are displayed on the Mondo website (http://purl.obolibrary.org/obo/MONDO_0019053). The Peroxisomal GCEP-curated gene-disease relationships will inform clinical and laboratory diagnostics and enhance molecular testing and reporting. As new data will emerge, the gene-disease classifications asserted by the Peroxisomal GCEP will be re-evaluated periodically.
Subject(s)
Molecular Diagnostic Techniques , Neonatal Screening , Infant, Newborn , Humans , Databases, Factual , Genetic TestingABSTRACT
Neurodevelopmental disorders (NDDs) are frequently associated with gastrointestinal symptoms (GIS) and sleep issues, but there are insufficient data on the occurrence of these symptoms in young children with autism spectrum disorder (ASD) compared with other NDDs. We abstracted data on 500 children aged 18 to 36 months with ASD and 146 children aged 18 to 47 months with non-ASD NDDs to compare the frequency of these symptoms. In the overall sample, there was a high rate of GIS (46.0%) and sleep difficulties (22.6%). In age-adjusted analyses, children with non-ASD NDDs were more likely to have GIS (61.0% vs 41.6%; adjusted odds ratio [OR] = 2.35; 95% confidence interval = 1.56-3.56) and sleep difficulties (34.9% vs 19.0%; adjusted OR = 2.08; 95% confidence interval = 1.33-3.26) compared with those with ASD. These findings demonstrate the need to assess these symptoms in all young children with developmental concerns to provide appropriate guidance to their families.
Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Gastrointestinal Diseases , Neurodevelopmental Disorders , Sleep Wake Disorders , Humans , Child, Preschool , Autistic Disorder/complications , Autism Spectrum Disorder/complications , Autism Spectrum Disorder/diagnosis , Neurodevelopmental Disorders/epidemiology , Neurodevelopmental Disorders/etiology , Sleep Wake Disorders/epidemiology , Gastrointestinal Diseases/diagnosis , Gastrointestinal Diseases/epidemiology , SleepABSTRACT
Newborn screening is an incredibly useful tool for the early identification of many metabolic disorders, including fatty acid oxidation (FAO) disorders. In many cases, molecular tests are necessary to reach a final diagnosis, highlighting the need for a thorough evaluation of genes implicated in FAO disorders. Using the ClinGen (Clinical Genome Resource) clinical validity framework, thirty genes were analyzed for the strength of evidence supporting their association with FAO disorders. Evidence was gathered from the literature by biocurators and presented to disease experts for review in order to assign a clinical validity classification of Definitive, Strong, Moderate, Limited, Disputed, Refuted, or No Reported Evidence. Of the gene-disease relationships evaluated, 22/30 were classified as Definitive, three as Moderate, one as Limited, three as No Reported Evidence and one as Disputed. Gene-disease relationships with a Limited, Disputed, and No Reported Evidence were found on two, six, and up to four panels out of 30 FAO disorder-specific panels, respectively, in the National Institute of Health Genetic Testing Registry, while over 70% of the genes on panels are definitively associated with an FAO disorder. These results highlight the need to systematically assess the clinical relevance of genes implicated in fatty acid oxidation disorders in order to improve the interpretation of genetic testing results and diagnosis of patients with these disorders.
Subject(s)
Fatty Acids/metabolism , Genetic Testing , Lipid Metabolism, Inborn Errors/diagnosis , Lipid Metabolism, Inborn Errors/genetics , Genetic Predisposition to Disease , Humans , Infant, Newborn , Neonatal Screening , Oxidation-Reduction , Reproducibility of ResultsABSTRACT
The Clinical Genome Resource (ClinGen) is supported by the National Institutes of Health (NIH) to develop expertly curated and freely accessible resources defining the clinical relevance of genes and variants for use in precision medicine and research. To facilitate expert input, ClinGen has formed Clinical Domain Working Groups (CDWGs) to leverage the collective knowledge of clinicians, laboratory diagnosticians, and researchers. In the initial phase of ClinGen, CDWGs were launched in the cardiovascular, hereditary cancer, and inborn errors of metabolism clinical fields. These early CDWGs established the infrastructure necessary to implement standardized processes developed or adopted by ClinGen working groups for the interpretation of gene-disease associations and variant pathogenicity, and provided a sustainable model for the formation of future disease-focused curation groups. The establishment of CDWGs requires recruitment of international experts to broadly represent the interests of their field and ensure that assertions made are reliable and widely accepted. Building on the successes, challenges, and trade-offs made in establishing the original CDWGs, ClinGen has developed standard operating procedures for the development of CDWGs in new clinical domains, while maximizing efforts to scale up curation and facilitate involvement of external groups who wish to utilize ClinGen methods and infrastructure for expert curation.
Subject(s)
Databases, Genetic , Genetics, Medical/trends , Genome, Human/genetics , Genomics/trends , Genetic Variation/genetics , Humans , Information Dissemination , Precision MedicineABSTRACT
The use of genome-scale sequencing allows for identification of genetic findings beyond the original indication for testing (secondary findings). The ClinGen Actionability Working Group's (AWG) protocol for evidence synthesis and semi-quantitative metric scoring evaluates four domains of clinical actionability for potential secondary findings: severity and likelihood of the outcome, and effectiveness and nature of the intervention. As of February 2018, the AWG has scored 127 genes associated with 78 disorders (up-to-date topics/scores are available at www.clinicalgenome.org). Scores across these disorders were assessed to compare genes/disorders recommended for return as secondary findings by the American College of Medical Genetics and Genomics (ACMG) with those not currently recommended. Disorders recommended by the ACMG scored higher on outcome-related domains (severity and likelihood), but not on intervention-related domains (effectiveness and nature of the intervention). Current practices indicate that return of secondary findings will expand beyond those currently recommended by the ACMG. The ClinGen AWG evidence reports and summary scores are not intended as classifications of actionability, rather they provide a resource to aid decision makers as they determine best practices regarding secondary findings. The ClinGen AWG is working with the ACMG Secondary Findings Committee to update future iterations of their secondary findings list.
Subject(s)
Genome, Human/genetics , Databases, Genetic , Exome/genetics , Genetic Testing , Genetic Variation/genetics , High-Throughput Nucleotide Sequencing , HumansABSTRACT
Genome-scale sequencing creates vast amounts of genomic data, increasing the challenge of clinical sequence variant interpretation. The demand for high-quality interpretation requires multiple specialties to join forces to accelerate the interpretation of sequence variant pathogenicity. With over 600 international members including clinicians, researchers, and laboratory diagnosticians, the Clinical Genome Resource (ClinGen), funded by the National Institutes of Health, is forming expert groups to systematically evaluate variants in clinically relevant genes. Here, we describe the first ClinGen variant curation expert panels (VCEPs), development of consistent and streamlined processes for establishing new VCEPs, and creation of standard operating procedures for VCEPs to define application of the ACMG/AMP guidelines for sequence variant interpretation in specific genes or diseases. Additionally, ClinGen has created user interfaces to enhance reliability of curation and a Sequence Variant Interpretation Working Group (SVI WG) to harmonize guideline specifications and ensure consistency between groups. The expansion of VCEPs represents the primary mechanism by which curation of a substantial fraction of genomic variants can be accelerated and ultimately undertaken systematically and comprehensively. We welcome groups to utilize our resources and become involved in our effort to create a publicly accessible, centralized resource for clinically relevant genes and variants.
Subject(s)
Genetic Variation/genetics , Genome, Human/genetics , Computational Biology , Databases, Genetic , Genomics , Humans , Mutation/genetics , Societies, Medical , Software , United StatesABSTRACT
The ClinGen Inborn Errors of Metabolism Working Group was tasked with creating a comprehensive, standardized knowledge base of genes and variants for metabolic diseases. Phenylalanine hydroxylase (PAH) deficiency was chosen to pilot development of the Working Group's standards and guidelines. A PAH variant curation expert panel (VCEP) was created to facilitate this process. Following ACMG-AMP variant interpretation guidelines, we present the development of these standards in the context of PAH variant curation and interpretation. Existing ACMG-AMP rules were adjusted based on disease (6) or strength (5) or both (2). Disease adjustments include allele frequency thresholds, functional assay thresholds, and phenotype-specific guidelines. Our validation of PAH-specific variant interpretation guidelines is presented using 85 variants. The PAH VCEP interpretations were concordant with existing interpretations in ClinVar for 69 variants (81%). Development of biocurator tools and standards are also described. Using the PAH-specific ACMG-AMP guidelines, 714 PAH variants have been curated and will be submitted to ClinVar. We also discuss strategies and challenges in applying ACMG-AMP guidelines to autosomal recessive metabolic disease, and the curation of variants in these genes.
Subject(s)
Genome, Human/genetics , Metabolism, Inborn Errors/genetics , Phenylalanine Hydroxylase/genetics , Databases, Genetic , Gene Frequency/genetics , Genetic Testing , Genetic Variation/genetics , HumansABSTRACT
Supervision is a practice that is utilized by a variety of practitioners to hone their counseling skills. Genetic counselors have embraced the supervision process, and some seek out supervision in a group setting with peers. Researchers have described the structure and content of genetic counseling peer supervision groups, and provided evidence for the benefits of seeking peer supervision. This study aimed to describe the interpersonal aspects of one genetic counseling peer supervision group, including personality traits and group dynamics, and how those factors influenced our experiences within the group. We also describe how the process of evaluating these factors impacted us individually and collectively. There was consensus that the group was a safe and trusting one, which was united by similar goals and mutual respect. Members reported gaining insights about how their own personality functioned within the group milieu, and also how the group setting impacted them. Based on our experiences, we recommend that other peer supervision groups consider similar self-evaluations on a periodic basis, both to enhance group functioning and to allow for increased self-awareness and professional growth.
Subject(s)
Counselors/psychology , Genetic Counseling , Group Processes , Interpersonal Relations , Peer Group , Personality , Adult , Female , HumansABSTRACT
BACKGROUND: To truly achieve personalized medicine in oncology, it is critical to catalog and curate cancer sequence variants for their clinical relevance. The Somatic Working Group (WG) of the Clinical Genome Resource (ClinGen), in cooperation with ClinVar and multiple cancer variant curation stakeholders, has developed a consensus set of minimal variant level data (MVLD). MVLD is a framework of standardized data elements to curate cancer variants for clinical utility. With implementation of MVLD standards, and in a working partnership with ClinVar, we aim to streamline the somatic variant curation efforts in the community and reduce redundancy and time burden for the interpretation of cancer variants in clinical practice. METHODS: We developed MVLD through a consensus approach by i) reviewing clinical actionability interpretations from institutions participating in the WG, ii) conducting extensive literature search of clinical somatic interpretation schemas, and iii) survey of cancer variant web portals. A forthcoming guideline on cancer variant interpretation, from the Association of Molecular Pathology (AMP), can be incorporated into MVLD. RESULTS: Along with harmonizing standardized terminology for allele interpretive and descriptive fields that are collected by many databases, the MVLD includes unique fields for cancer variants such as Biomarker Class, Therapeutic Context and Effect. In addition, MVLD includes recommendations for controlled semantics and ontologies. The Somatic WG is collaborating with ClinVar to evaluate MVLD use for somatic variant submissions. ClinVar is an open and centralized repository where sequencing laboratories can report summary-level variant data with clinical significance, and ClinVar accepts cancer variant data. CONCLUSIONS: We expect the use of the MVLD to streamline clinical interpretation of cancer variants, enhance interoperability among multiple redundant curation efforts, and increase submission of somatic variants to ClinVar, all of which will enhance translation to clinical oncology practice.
Subject(s)
Data Curation/standards , Genetic Variation , Neoplasms/genetics , Algorithms , Databases, Genetic , Gene Frequency , Humans , Precision MedicineABSTRACT
PURPOSE: Genome and exome sequencing can identify variants unrelated to the primary goal of sequencing. Detecting pathogenic variants associated with an increased risk of a medical disorder enables clinical interventions to improve future health outcomes in patients and their at-risk relatives. The Clinical Genome Resource, or ClinGen, aims to assess clinical actionability of genes and associated disorders as part of a larger effort to build a central resource of information regarding the clinical relevance of genomic variation for use in precision medicine and research. METHODS: We developed a practical, standardized protocol to identify available evidence and generate qualitative summary reports of actionability for disorders and associated genes. We applied a semiquantitative metric to score actionability. RESULTS: We generated summary reports and actionability scores for the 56 genes and associated disorders recommended by the American College of Medical Genetics and Genomics for return as secondary findings from clinical genome-scale sequencing. We also describe the challenges that arose during the development of the protocol that highlight important issues in characterizing actionability across a range of disorders. CONCLUSION: The ClinGen framework for actionability assessment will assist research and clinical communities in making clear, efficient, and consistent determinations of actionability based on transparent criteria to guide analysis and reporting of findings from clinical genome-scale sequencing.Genet Med 18 12, 1258-1268.
Subject(s)
Genetic Diseases, Inborn/diagnosis , Genetic Testing , Genetic Variation , Genomics , Exome/genetics , Genetic Diseases, Inborn/pathology , Genome, Human , High-Throughput Nucleotide Sequencing , Humans , Precision MedicineABSTRACT
Standardized patients (SPs) are trained actors who are used to engage health care providers in various types of clinical encounters for the purposes of training and evaluation. In the past, SPs have most often been a tool for training clinicians in "traditional" medical skills such as the taking of medical histories or the conduct of physical exams. More recently, however, SPs have been increasingly used to assist in the development and assessment of psychosocial skills, including those related to patient-centered communication, relationship building, and motivational interviewing. Given this shift, it is argued that the time is ripe for exploring ways that health educators can adopt SP methodologies, whether for providing continuing education for individual providers or evaluating organizations or programs. This article introduces ways of using SPs and discusses strengths and challenges related to various approaches.
Subject(s)
Clinical Competence/standards , Education, Medical/organization & administration , Health Education/organization & administration , Health Promotion/organization & administration , Medical History Taking/standards , Patient Simulation , Educational Measurement , Humans , Patient-Centered Care/organization & administration , Physician-Patient Relations , United StatesABSTRACT
The term Direct-to-Consumer (DTC) genetic testing refers to many different categories of testing. This editorial addresses the issues related to DTC testing for large effect and small effect variants associated with disease. In particular, there are issues of clinical validity and utility, informativeness and residual risk. Genetic counselors are poised to address these issues because of their training in probability and statistical models. The authors suggest that genetic counselors can impact the general public's understanding of DTC test results by: including evaluation of DTC concepts in graduate program curricula, holding AEC plenary sessions about emerging DTC concepts, and helping other professionals understand DTC concepts. Importantly, genetic counselors are advised to continue doing and promoting rigorous research on how people access and use DTC genetic testing and results, as well as gathering empirical data so that discussions of harms and benefits can go beyond theory. It is our hope that genetic counselors in practice will continue to critically evaluate claims made about emerging new tests, including those marketed DTC, in order to provide the best possible services to our patients.
Subject(s)
Community Participation , Genetic Testing , Genetic Counseling , Humans , Risk AssessmentABSTRACT
PURPOSE: Medical foods and pharmacological doses of vitamins are used to treat certain genetic diseases for the duration of a patient's lifetime, which necessitates life-long management of the condition and diet by the patient and a health care provider. However, payment for medical foods and health insurance coverage of medical foods is not uniform. METHODS: A survey of states' newborn screening (NBS) representatives and a review of state policies (as of 2008) were conducted to ascertain payment and insurance coverage of medical foods. RESULTS: According to the NBS representatives, 61% of the states provided or guaranteed medical foods for all or a subset of the population detected by NBS, whereas 82% of states provided or guaranteed medical formulas for the same population. Policies for private health insurance coverage existed in 33/50 states, and range from providing medical food for one specific metabolic condition to providing it for any NBS disorder. In addition, there is variability among states in the specificity of defining what conditions qualify for medical foods. CONCLUSION: This article suggests four options, not mutually exclusive, options for addressing the patchwork of state policies regarding coverage of medical foods, ranging from amending Medicaid legislation to enacting federal legislation, or changing the Food and Drug Administration's stance on oversight of medical foods.
Subject(s)
Food, Organic/economics , Legislation, Food , Metabolism, Inborn Errors/diet therapy , Metabolism, Inborn Errors/economics , Reimbursement Mechanisms/trends , Humans , Infant, Newborn , Metabolism, Inborn Errors/diagnosisSubject(s)
DNA , Licensure , Patents as Topic , Clinical Trials as Topic , Data Collection , Humans , Pilot Projects , Telephone , Universities/organization & administrationABSTRACT
The growth of patents that include genetic sequences has been accompanied by concern about their impact on the ability of physicians to provide clinical genetic testing services and to perform research. Therefore, we conducted a survey of clinical laboratory directors that perform DNA-based genetic tests to examine potential effects. We performed a telephone survey between July and September in 2001 of all laboratory directors in the United States who were members of the Association for Molecular Pathology or who were listed on the GENETESTS:org website. One hundred thirty-two of 211 (63%) laboratory directors were interviewed. Ten of these were excluded because they did not conduct DNA-based genetic tests. Almost all performed genetic tests for clinical purposes. Half performed tests for research purposes as well. Twenty-five percent of respondents reported that they had stopped performing a clinical genetic test because of a patent or license. Fifty-three percent of respondents reported deciding not to develop a new clinical genetic test because of a patent or license. In total, respondents were prevented from performing 12 genetic tests, and all of these tests were among those performed by a large number of laboratories. We found 22 patents that were relevant to the performance of these 12 tests. Fifteen of the 22 patents (68%) are held by universities or research institutes, and 13 of the 22 patents (59%) were based on research funded by the United States Government. Overall, respondents reported that their perceptions of the effects of patents on the cost, access, and development of genetic tests, or data sharing among researchers, were negative. In contrast, most respondents felt that patents did not have an effect on the quality of testing. We conclude that patents and licenses have had a significant effect on the ability of clinical laboratories to develop and provide genetic tests. Furthermore, our findings suggest that clinical geneticists feel that their research is inhibited by patents. The effects of patents and licenses on patients' access to tests, and the costs and quality thereof, remains to be determined.