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Dive into the research topics where Joshua L. Deignan is active.

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Featured researches published by Joshua L. Deignan.


Genetics in Medicine | 2013

ACMG clinical laboratory standards for next-generation sequencing

Heidi L. Rehm; Sherri J. Bale; Pinar Bayrak-Toydemir; Jonathan S. Berg; Kerry K. Brown; Joshua L. Deignan; Michael J. Friez; Birgit Funke; Madhuri Hegde; Elaine Lyon

Next-generation sequencing technologies have been and continue to be deployed in clinical laboratories, enabling rapid transformations in genomic medicine. These technologies have reduced the cost of large-scale sequencing by several orders of magnitude, and continuous advances are being made. It is now feasible to analyze an individual’s near-complete exome or genome to assist in the diagnosis of a wide array of clinical scenarios. Next-generation sequencing technologies are also facilitating further advances in therapeutic decision making and disease prediction for at-risk patients. However, with rapid advances come additional challenges involving the clinical validation and use of these constantly evolving technologies and platforms in clinical laboratories. To assist clinical laboratories with the validation of next-generation sequencing methods and platforms, the ongoing monitoring of next-generation sequencing testing to ensure quality results, and the interpretation and reporting of variants found using these technologies, the American College of Medical Genetics and Genomics has developed the following professional standards and guidelines.Genet Med 15 9, 733–747.Genetics in Medicine (2013); 15 9, 733–747. doi:10.1038/gim.2013.92


JAMA | 2014

Clinical Exome Sequencing for Genetic Identification of Rare Mendelian Disorders

Hane Lee; Joshua L. Deignan; Naghmeh Dorrani; Samuel P. Strom; Sibel Kantarci; Fabiola Quintero-Rivera; Kingshuk Das; Traci Toy; Bret Harry; Michael Yourshaw; Michelle Fox; Brent L. Fogel; Julian A. Martinez-Agosto; Derek Wong; Vivian Y. Chang; Perry B. Shieh; Christina G.S. Palmer; Katrina M. Dipple; Wayne W. Grody; Eric Vilain; Stanley F. Nelson

IMPORTANCE Clinical exome sequencing (CES) is rapidly becoming a common molecular diagnostic test for individuals with rare genetic disorders. OBJECTIVE To report on initial clinical indications for CES referrals and molecular diagnostic rates for different indications and for different test types. DESIGN, SETTING, AND PARTICIPANTS Clinical exome sequencing was performed on 814 consecutive patients with undiagnosed, suspected genetic conditions at the University of California, Los Angeles, Clinical Genomics Center between January 2012 and August 2014. Clinical exome sequencing was conducted as trio-CES (both parents and their affected child sequenced simultaneously) to effectively detect de novo and compound heterozygous variants or as proband-CES (only the affected individual sequenced) when parental samples were not available. MAIN OUTCOMES AND MEASURES Clinical indications for CES requests, molecular diagnostic rates of CES overall and for phenotypic subgroups, and differences in molecular diagnostic rates between trio-CES and proband-CES. RESULTS Of the 814 cases, the overall molecular diagnosis rate was 26% (213 of 814; 95% CI, 23%-29%). The molecular diagnosis rate for trio-CES was 31% (127 of 410 cases; 95% CI, 27%-36%) and 22% (74 of 338 cases; 95% CI, 18%-27%) for proband-CES. In cases of developmental delay in children (<5 years, n = 138), the molecular diagnosis rate was 41% (45 of 109; 95% CI, 32%-51%) for trio-CES cases and 9% (2 of 23, 95% CI, 1%-28%) for proband-CES cases. The significantly higher diagnostic yield (P value = .002; odds ratio, 7.4 [95% CI, 1.6-33.1]) of trio-CES was due to the identification of de novo and compound heterozygous variants. CONCLUSIONS AND RELEVANCE In this sample of patients with undiagnosed, suspected genetic conditions, trio-CES was associated with higher molecular diagnostic yield than proband-CES or traditional molecular diagnostic methods. Additional studies designed to validate these findings and to explore the effect of this approach on clinical and economic outcomes are warranted.


Nature Genetics | 2009

Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks

Xia Yang; Joshua L. Deignan; Hongxiu Qi; Jun Zhu; Su Qian; Judy Zhong; Gevork Torosyan; Sana Majid; Brie Falkard; Robert Kleinhanz; Jenny C Karlsson; Lawrence W. Castellani; Sheena Mumick; Kai Wang; Tao Xie; Michael Coon; Chunsheng Zhang; Daria Estrada-Smith; Charles R. Farber; Susanna S. Wang; Atila van Nas; Anatole Ghazalpour; Bin Zhang; Douglas J. MacNeil; John Lamb; Katrina M. Dipple; Marc L. Reitman; Margarete Mehrabian; Pek Yee Lum; Eric E. Schadt

A principal task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription and phenotypic information. Here we have validated our method through the characterization of transgenic and knockout mouse models of genes predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being newly confirmed, resulted in significant changes in obesity-related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high-confidence prediction of causal genes and identification of pathways and networks involved.


JAMA Neurology | 2014

Exome Sequencing in the Clinical Diagnosis of Sporadic or Familial Cerebellar Ataxia

Brent L. Fogel; Hane Lee; Joshua L. Deignan; Samuel P. Strom; Sibel Kantarci; Xizhe Wang; Fabiola Quintero-Rivera; Eric Vilain; Wayne W. Grody; Susan Perlman; Daniel H. Geschwind; Stanley F. Nelson

IMPORTANCE Cerebellar ataxias are a diverse collection of neurologic disorders with causes ranging from common acquired etiologies to rare genetic conditions. Numerous genetic disorders have been associated with chronic progressive ataxia and this consequently presents a diagnostic challenge for the clinician regarding how to approach and prioritize genetic testing in patients with such clinically heterogeneous phenotypes. Additionally, while the value of genetic testing in early-onset and/or familial cases seems clear, many patients with ataxia present sporadically with adult onset of symptoms and the contribution of genetic variation to the phenotype of these patients has not yet been established. OBJECTIVE To investigate the contribution of genetic disease in a population of patients with predominantly adult- and sporadic-onset cerebellar ataxia. DESIGN, SETTING, AND PARTICIPANTS We examined a consecutive series of 76 patients presenting to a tertiary referral center for evaluation of chronic progressive cerebellar ataxia. MAIN OUTCOMES AND MEASURES Next-generation exome sequencing coupled with comprehensive bioinformatic analysis, phenotypic analysis, and clinical correlation. RESULTS We identified clinically relevant genetic information in more than 60% of patients studied (n = 46), including diagnostic pathogenic gene variants in 21% (n = 16), a notable yield given the diverse genetics and clinical heterogeneity of the cerebellar ataxias. CONCLUSIONS AND RELEVANCE This study demonstrated that clinical exome sequencing in patients with adult-onset and sporadic presentations of ataxia is a high-yield test, providing a definitive diagnosis in more than one-fifth of patients and suggesting a potential diagnosis in more than one-third to guide additional phenotyping and diagnostic evaluation. Therefore, clinical exome sequencing is an appropriate consideration in the routine genetic evaluation of all patients presenting with chronic progressive cerebellar ataxia.


Genetics in Medicine | 2014

Assessing the necessity of confirmatory testing for exome-sequencing results in a clinical molecular diagnostic laboratory.

Samuel P. Strom; Hane Lee; Kingshuk Das; Eric Vilain; Stanley F. Nelson; Wayne W. Grody; Joshua L. Deignan

Purpose:Sanger sequencing is currently considered the gold standard methodology for clinical molecular diagnostic testing. However, next-generation sequencing has already emerged as a much more efficient means to identify genetic variants within gene panels, the exome, or the genome. We sought to assess the accuracy of next-generation sequencing variant identification in our clinical genomics laboratory with the goal of establishing a quality score threshold for confirmatory Sanger-based testing.Methods:Confirmation data for reported results from 144 sequential clinical exome-sequencing cases (94 unique variants) and an additional set of 16 variants from comparable research samples were analyzed.Results:Of the 110 total single-nucleotide variants analyzed, 103 variants had a quality score ≥Q500, 103 (100%) of which were confirmed by Sanger sequencing. Of the remaining seven variants with quality scores <Q500, six were confirmed by Sanger sequencing (85%).Conclusion:For single-nucleotide variants, we predict that going forward, we will be able to reduce our Sanger confirmation workload by 70–80%. This serves as a proof of principle that as long as sufficient validation and quality control measures are implemented, the volume of Sanger confirmation can be reduced, alleviating a significant amount of the labor and cost burden on clinical laboratories wishing to use next-generation sequencing technology. However, Sanger confirmation of low-quality single-nucleotide variants and all insertions or deletions <10 bp remains necessary at this time in our laboratory.Genet Med 16 7, 510–515.


Journal of Clinical Investigation | 2010

Identification and validation of genes affecting aortic lesions in mice

Xia Yang; Larry Peterson; Rolf Thieringer; Joshua L. Deignan; Xuping Wang; Jun Zhu; Susanna Wang; Hua Zhong; Serguei Stepaniants; John Beaulaurier; I-Ming Wang; Ray Rosa; Anne-Marie Cumiskey; Jane Ming-Juan Luo; Qi Luo; Kashmira Shah; Jianying Xiao; David C. Nickle; Andrew Plump; Eric E. Schadt; Aldons J. Lusis; Pek Yee Lum

Atherosclerosis represents the most significant risk factor for coronary artery disease (CAD), the leading cause of death in developed countries. To better understand the pathogenesis of atherosclerosis, we applied a likeli-hood-based model selection method to infer gene-disease causality relationships for the aortic lesion trait in a segregating mouse population demonstrating a spectrum of susceptibility to developing atherosclerotic lesions. We identified 292 genes that tested causal for aortic lesions from liver and adipose tissues of these mice, and we experimentally validated one of these candidate causal genes, complement component 3a receptor 1 (C3ar1), using a knockout mouse model. We also found that genes identified by this method overlapped with genes progressively regulated in the aortic arches of 2 mouse models of atherosclerosis during atherosclerotic lesion development. By comparing our gene set with findings from public human genome-wide association studies (GWAS) of CAD and related traits, we found that 5 genes identified by our study overlapped with published studies in humans in which they were identified as risk factors for multiple atherosclerosis-related pathologies, including myocardial infarction, serum uric acid levels, mean platelet volume, aortic root size, and heart failure. Candidate causal genes were also found to be enriched with CAD risk polymorphisms identified by the Wellcome Trust Case Control Consortium (WTCCC). Our findings therefore validate the ability of causality testing procedures to provide insights into the mechanisms underlying atherosclerosis development.


American Journal of Human Genetics | 2015

De Novo Nonsense Mutations in KAT6A, a Lysine Acetyl-Transferase Gene, Cause a Syndrome Including Microcephaly and Global Developmental Delay

Valerie A. Arboleda; Hane Lee; Naghmeh Dorrani; Neda Zadeh; Mary Willis; Colleen Forsyth Macmurdo; Melanie A. Manning; Andrea Kwan; Louanne Hudgins; Florian Barthelemy; M. Carrie Miceli; Fabiola Quintero-Rivera; Sibel Kantarci; Samuel P. Strom; Joshua L. Deignan; Wayne W. Grody; Eric Vilain; Stanley F. Nelson

Chromatin remodeling through histone acetyltransferase (HAT) and histone deactylase (HDAC) enzymes affects fundamental cellular processes including the cell-cycle, cell differentiation, metabolism, and apoptosis. Nonsense mutations in genes that are involved in histone acetylation and deacetylation result in multiple congenital anomalies with most individuals displaying significant developmental delay, microcephaly and dysmorphism. Here, we report a syndrome caused by de novo heterozygous nonsense mutations in KAT6A (a.k.a., MOZ, MYST3) identified by clinical exome sequencing (CES) in four independent families. The same de novo nonsense mutation (c.3385C>T [p.Arg1129∗]) was observed in three individuals, and the fourth individual had a nearby de novo nonsense mutation (c.3070C>T [p.Arg1024∗]). Neither of these variants was present in 1,815 in-house exomes or in public databases. Common features among all four probands include primary microcephaly, global developmental delay including profound speech delay, and craniofacial dysmorphism, as well as more varied features such as feeding difficulties, cardiac defects, and ocular anomalies. We further demonstrate that KAT6A mutations result in dysregulation of H3K9 and H3K18 acetylation and altered P53 signaling. Through histone and non-histone acetylation, KAT6A affects multiple cellular processes and illustrates the complex role of acetylation in regulating development and disease.


Molecular Genetics and Metabolism | 2012

Biochemical, molecular, and clinical characteristics of children with short chain acyl-CoA dehydrogenase deficiency detected by newborn screening in California

Natalie M. Gallant; Karen Leydiker; Hao Tang; Lisa Feuchtbaum; Fred Lorey; Rebecca Puckett; Joshua L. Deignan; Julie Neidich; Naghmeh Dorrani; Erica Chang; Bruce Barshop; Stephen D. Cederbaum; Jose E. Abdenur; Raymond Y. Wang

BACKGROUND Short-chain acyl-CoA dehydrogenase deficiency (SCADD) is an autosomal recessive inborn error of mitochondrial fatty acid oxidation with highly variable biochemical, genetic, and clinical characteristics. SCADD has been associated with accumulation of butyryl-CoA byproducts, including butyrylcarnitine (C4), butyrylglycine, ethylmalonic acid (EMA), and methylsuccinic acid (MS) in body fluid and tissues. Differences in genotype frequencies have been shown between patients diagnosed clinically versus those diagnosed by newborn screening. Moreover, while patients diagnosed clinically have a variable clinical presentation including developmental delay, ketotic hypoglycemia, epilepsy and behavioral disorders, studies suggest patients diagnosed by newborn screening are largely asymptomatic. Scant information is published about the biochemical, genetic and clinical outcome of SCADD patients diagnosed by newborn screening. METHODS We collected California newborn screening, follow-up biochemical levels, and ACADS mutation data from September, 2005 through April, 2010. We retrospectively reviewed available data on SCADD cases diagnosed by newborn screening for clinical outcomes. RESULTS During the study period, 2,632,058 newborns were screened and 76 confirmed SCADD cases were identified. No correlations between initial C4 value and follow-up biochemical markers (C4, EMA or MS levels) were found in the 76 cases studied. We found significant correlation between urine EMA versus MS, and correlation between follow-up C4 versus urine EMA. Of 22 cases where ACADS gene sequencing was performed: 7 had two or more deleterious mutations; 8 were compound heterozygotes for a deleterious mutation and common variant; 7 were homozygous for the common variant c.625G>A; and 1 was heterozygous for c.625G>A. Significant increases in mean urine EMA and MS levels were noted in patients with two or more deleterious mutations versus mutation heterozygotes or common polymorphism homozygotes. Clinical outcome data was available in 31 patients with follow-up extending from 0.5 to 60 months. None developed epilepsy or behavioral disorders, and three patients had isolated speech delay. Hypoglycemia occurred in two patients, both in the neonatal period. The first patient had concomitant meconium aspiration; the other presented with central apnea, poor feeding, and hypotonia. The latter, a c.625G>A homozygote, has had persistent elevations in both short- and medium-chain acylcarnitines; diagnostic workup in this case is extensive and ongoing. CONCLUSIONS This study examines the largest series to date of SCADD patients identified by newborn screening. Our results suggest that confirmatory tests may be useful to differentiate patients with common variants from those with deleterious mutations. This study also provides evidence to suggest that, even when associated with deleterious mutations, SCADD diagnosed by newborn screening presents largely as a benign condition.


BMC Medical Genetics | 2014

De Novo variants in the KMT2A (MLL) gene causing atypical Wiedemann-Steiner syndrome in two unrelated individuals identified by clinical exome sequencing

Samuel P. Strom; Reymundo Lozano; Hane Lee; Naghmeh Dorrani; John Mann; Patricia F O’Lague; Nicole Mans; Joshua L. Deignan; Eric Vilain; Stanley F. Nelson; Wayne W. Grody; Fabiola Quintero-Rivera

BackgroundWiedemann-Steiner Syndrome (WSS) is characterized by short stature, a variety of dysmorphic facial and skeletal features, characteristic hypertrichosis cubiti (excessive hair on the elbows), mild-to-moderate developmental delay and intellectual disability. [MIM#: 605130]. Here we report two unrelated children for whom clinical exome sequencing of parent-proband trios was performed at UCLA, resulting in a molecular diagnosis of WSS and atypical clinical presentation.Case presentationFor patient 1, clinical features at 9 years of age included developmental delay, craniofacial abnormalities, and multiple minor anomalies. Patient 2 presented at 1 year of age with developmental delay, microphthalmia, partial 3–4 left hand syndactyly, and craniofacial abnormalities. A de novo missense c.4342T>C variant and a de novo splice site c.4086+G>A variant were identified in the KMT2A gene in patients 1 and 2, respectively.ConclusionsBased on the clinical and molecular findings, both patients appear to have novel presentations of WSS. As the hallmark hypertrichosis cubiti was not initially appreciated in either case, this syndrome was not suspected during the clinical evaluation. This report expands the phenotypic spectrum of the clinical phenotypes and KMT2A variants associated with WSS.


Pharmacogenomics | 2012

Clinical utility of pharmacogenetic biomarkers in cardiovascular therapeutics: a challenge for clinical implementation

Frank S. Ong; Joshua L. Deignan; Jane Z. Kuo; Kenneth E. Bernstein; Jerome I. Rotter; Wayne W. Grody; Kingshuk Das

In the past decade, significant strides have been made in the area of cardiovascular pharmacogenomic research, with the discovery of associations between certain genotypes and drug-response phenotypes. While the motivations for personalized and predictive medicine are promising for patient care and support a model of health system efficiency, the implementation of pharmacogenomics for cardiovascular therapeutics on a population scale faces substantial challenges. The greatest obstacle to clinical implementation of cardiovascular pharmacogenetics may be the lack of both reproducibility and agreement about the validity and utility of the findings. In this review, we present the scientific evidence in the literature for diagnostic variants for the US FDA-labeled cardiovascular therapies, namely CYP2C19 and clopidogrel, CYP2C9/VKORC1 and warfarin, and CYP2D6/ADRB1 and β-blockers. We also discuss the effect of HMGCR/LDLR in decreasing the effectiveness of low-density lipoprotein cholesterol with statin therapy, the SLCO1B1 genotype and simvastatin myotoxicity, and ADRB1/ADD1 for antihypertensive response.

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Wayne W. Grody

University of California

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Hane Lee

University of California

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Eric Vilain

University of California

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Kingshuk Das

University of California

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Sibel Kantarci

University of California

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