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Featured researches published by Darrell L. Dinwiddie.


Science Translational Medicine | 2011

Carrier Testing for Severe Childhood Recessive Diseases by Next-Generation Sequencing

Callum J. Bell; Darrell L. Dinwiddie; Neil Miller; Shannon L. Hateley; Elena E. Ganusova; Joann Mudge; Raymond J. Langley; Lu Zhang; Clarence Lee; Faye D. Schilkey; Vrunda Sheth; Jimmy E. Woodward; Heather E. Peckham; Gary P. Schroth; Ryan W. Kim; Stephen F. Kingsmore

Carrier testing for 448 severe childhood recessive diseases by next-generation sequencing has good predictive value and suggests that every individual carries about three disease mutations. Shining a Light on Comprehensive Carrier Screening Although diseases inherited in a Mendelian fashion are rare, together they account for about 20% of deaths in infancy. For Mendelian diseases that are recessive (of which there are more than 1000), screening before pregnancy (preconception screening) together with genetic counseling of those carrying a mutant allele could reduce the incidence of these diseases and the suffering that they incur. In the case of Tay-Sachs disease, an incurable neurodegenerative disease of infancy, preconception screening for disease gene mutations and genetic counseling among individuals of Ashkenazi descent has reduced the incidence of this tragic disease by 90%. However, simultaneous testing for many recessive childhood diseases is costly, so, to date, screening has included just a few diseases such as Tay-Sachs disease, cystic fibrosis, and familial dysautonomia. In a new study, Kingsmore and his colleagues have combined target gene capture and enrichment, next-generation sequencing, and sophisticated bioinformatic analysis to develop a platform capable of screening several hundred DNA samples simultaneously for 448 severe recessive diseases of childhood. They demonstrate that their method is sensitive, specific, and scalable in a research setting and that it should be straightforward to automate the process. The authors report that individuals in the general population carry an average of three recessive childhood disease mutations. They also discovered that about 10% of disease mutations in commonly used databases are incorrect, suggesting that disease mutation annotations in such databases should be carefully scrutinized. The authors predict that their screening test could be made faster and more cost-effective with the advent of microdroplet polymerase chain reaction and third-generation sequencing technologies. Their study provides a proof of concept that it should be possible to introduce preconception carrier screening for many recessive pediatric disease mutations as long as the disease genes are known. Many social, legal, and societal issues need to be addressed before preconception carrier screening can be made available for the general population, and cost is still a big consideration. However, this methodology could also be applied for comprehensive screening of newborns and would allow early diagnosis and intervention for a variety of Mendelian diseases. Although it may be some time before preconception carrier testing enters the community setting, physicians, patients, parents, and genetic counselors need to discuss the impact and implications of this new technology. Of 7028 disorders with suspected Mendelian inheritance, 1139 are recessive and have an established molecular basis. Although individually uncommon, Mendelian diseases collectively account for ~20% of infant mortality and ~10% of pediatric hospitalizations. Preconception screening, together with genetic counseling of carriers, has resulted in remarkable declines in the incidence of several severe recessive diseases including Tay-Sachs disease and cystic fibrosis. However, extension of preconception screening to most severe disease genes has hitherto been impractical. Here, we report a preconception carrier screen for 448 severe recessive childhood diseases. Rather than costly, complete sequencing of the human genome, 7717 regions from 437 target genes were enriched by hybrid capture or microdroplet polymerase chain reaction, sequenced by next-generation sequencing (NGS) to a depth of up to 2.7 gigabases, and assessed with stringent bioinformatic filters. At a resultant 160× average target coverage, 93% of nucleotides had at least 20× coverage, and mutation detection/genotyping had ~95% sensitivity and ~100% specificity for substitution, insertion/deletion, splicing, and gross deletion mutations and single-nucleotide polymorphisms. In 104 unrelated DNA samples, the average genomic carrier burden for severe pediatric recessive mutations was 2.8 and ranged from 0 to 7. The distribution of mutations among sequenced samples appeared random. Twenty-seven percent of mutations cited in the literature were found to be common polymorphisms or misannotated, underscoring the need for better mutation databases as part of a comprehensive carrier testing strategy. Given the magnitude of carrier burden and the lower cost of testing compared to treating these conditions, carrier screening by NGS made available to the general population may be an economical way to reduce the incidence of and ameliorate suffering associated with severe recessive childhood disorders.


Science Translational Medicine | 2012

Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units

Carol J. Saunders; Neil A. Miller; Sarah E. Soden; Darrell L. Dinwiddie; Aaron Noll; Noor Abu Alnadi; Nevene Andraws; Melanie Patterson; Lisa Krivohlavek; Joel Fellis; Sean Humphray; Peter Saffrey; Zoya Kingsbury; Jacqueline C. Weir; Jason Richard Betley; Russell Grocock; Elliott H. Margulies; Emily Farrow; Michael Artman; Nicole P. Safina; Joshua E. Petrikin; Kevin Hall; Stephen F. Kingsmore

Rapid whole-genome sequencing of neonates can shorten time to genetic disease diagnosis and thus genetic and prognostic counseling. Speed Heals The waiting might not be the hardest part for families receiving a diagnosis in neonatal intensive care units (NICUs), but it can be destructive nonetheless. While they wait on pins and needles for their newborn baby’s diagnosis, parents anguish, nurture false hope, wrestle with feelings of guilt—and all the while, treatment and counseling are delayed. Now, Saunders et al. describe a method that uses whole-genome sequencing (WGS) to achieve a differential diagnosis of genetic disorders in 50 hours rather than the 4 to 6 weeks. Many of the ~3,500 genetic diseases of known cause manifest symptoms during the first 28 days of life, but full clinical symptoms might not be evident in newborns. Genetic screens performed on newborns are rapid, but are designed to unearth only a few genetic disorders, and serial gene sequencing is too slow to be clinically useful. Together, these complicating factors lead to the administration of treatments based on nonspecific or obscure symptoms, which can be unhelpful or dangerous. Often, either death or release from the hospital occurs before the diagnosis is made. The new WGS protocol cuts analysis time by using automated bioinformatic analysis. Using their newly developed protocol, the authors performed retrospective 50-hour WGS to confirm, in two children, known molecular diagnoses that had been made using other methods. Next, prospective WGS revealed a molecular diagnosis of a BRAT1-related syndrome in one newborn; identified the causative mutation in a baby with epidermolysis bullosa; ruled out the presence of defects in candidate genes in a third infants; and, in a pedigree, pinpointed BCL9L as a new recessive gene (HTX6) that gives rise to visceral heterotaxy—the abnormal arrangement of organs in the chest and abdominal cavities. WGS of parents or affected siblings helped to speed up the identification of disease genes in the prospective cases. These findings strengthen the notion that WGS can shorten the differential diagnosis process and quicken to move toward targeted treatment and genetic and prognostic counseling. The authors note that the speed and cost of WGS continues to rise and fall, respectively. However, fast WGS is clinically useful when coupled with fast and affordable methods of analysis. Monogenic diseases are frequent causes of neonatal morbidity and mortality, and disease presentations are often undifferentiated at birth. More than 3500 monogenic diseases have been characterized, but clinical testing is available for only some of them and many feature clinical and genetic heterogeneity. Hence, an immense unmet need exists for improved molecular diagnosis in infants. Because disease progression is extremely rapid, albeit heterogeneous, in newborns, molecular diagnoses must occur quickly to be relevant for clinical decision-making. We describe 50-hour differential diagnosis of genetic disorders by whole-genome sequencing (WGS) that features automated bioinformatic analysis and is intended to be a prototype for use in neonatal intensive care units. Retrospective 50-hour WGS identified known molecular diagnoses in two children. Prospective WGS disclosed potential molecular diagnosis of a severe GJB2-related skin disease in one neonate; BRAT1-related lethal neonatal rigidity and multifocal seizure syndrome in another infant; identified BCL9L as a novel, recessive visceral heterotaxy gene (HTX6) in a pedigree; and ruled out known candidate genes in one infant. Sequencing of parents or affected siblings expedited the identification of disease genes in prospective cases. Thus, rapid WGS can potentially broaden and foreshorten differential diagnosis, resulting in fewer empirical treatments and faster progression to genetic and prognostic counseling.


Blood | 2015

Early-onset lymphoproliferation and autoimmunity caused by germline STAT3 gain-of-function mutations.

Joshua D. Milner; Tiphanie P. Vogel; Lisa R. Forbes; Chi A. Ma; Asbjørg Stray-Pedersen; Julie E. Niemela; Jonathan J. Lyons; Karin R. Engelhardt; Yu Zhang; Nermina Topcagic; Elisha D. O. Roberson; Helen F. Matthews; James W. Verbsky; Trivikram Dasu; Alexander Vargas-Hernández; Nidhy P. Varghese; Kenneth L. McClain; Lina Karam; Karen Nahmod; George Makedonas; Emily M. Mace; Hanne Sørmo Sorte; Gøri Perminow; V. Koneti Rao; Michael P. O’Connell; Susan Price; Helen C. Su; Morgan Butrick; Joshua McElwee; Jason D. Hughes

Germline loss-of-function mutations in the transcription factor signal transducer and activator of transcription 3 (STAT3) cause immunodeficiency, whereas somatic gain-of-function mutations in STAT3 are associated with large granular lymphocytic leukemic, myelodysplastic syndrome, and aplastic anemia. Recently, germline mutations in STAT3 have also been associated with autoimmune disease. Here, we report on 13 individuals from 10 families with lymphoproliferation and early-onset solid-organ autoimmunity associated with 9 different germline heterozygous mutations in STAT3. Patients exhibited a variety of clinical features, with most having lymphadenopathy, autoimmune cytopenias, multiorgan autoimmunity (lung, gastrointestinal, hepatic, and/or endocrine dysfunction), infections, and short stature. Functional analyses demonstrate that these mutations confer a gain-of-function in STAT3 leading to secondary defects in STAT5 and STAT1 phosphorylation and the regulatory T-cell compartment. Treatment targeting a cytokine pathway that signals through STAT3 led to clinical improvement in 1 patient, suggesting a potential therapeutic option for such patients. These results suggest that there is a broad range of autoimmunity caused by germline STAT3 gain-of-function mutations, and that hematologic autoimmunity is a major component of this newly described disorder. Some patients for this study were enrolled in a trial registered at www.clinicaltrials.gov as #NCT00001350.


Science Translational Medicine | 2013

Sepsis: An integrated clinico-metabolomic model improves prediction of death in sepsis

Raymond J. Langley; Ephraim L. Tsalik; Jennifer C. van Velkinburgh; Seth W. Glickman; Brandon J. Rice; Chunping Wang; Bo Chen; Lawrence Carin; Arturo Suarez; Robert P. Mohney; D. Freeman; Mu Wang; Jinsam You; Jacob Wulff; J. Will Thompson; M. Arthur Moseley; Stephanie Reisinger; Brian T. Edmonds; Brian W. Grinnell; David R. Nelson; Darrell L. Dinwiddie; Neil A. Miller; Carol J. Saunders; Sarah S. Soden; Angela J. Rogers; Lee Gazourian; Anthony F. Massaro; Rebecca M. Baron; Augustine M. K. Choi; G. Ralph Corey

A molecular signature, derived from integrated analysis of clinical data, the metabolome, and the proteome in prospective human studies, improved the prediction of death in patients with sepsis, potentially identifying a subset of patients who merit intensive treatment. Understanding Survival of the Fittest in Sepsis Differentiating mild infections from life-threatening ones is a complex decision that is made millions of times a year in U.S. emergency rooms. Should a patient be sent home with antibiotics and chicken soup? Or should he or she be hospitalized for intensive treatment? Sepsis—a serious infection that is associated with a generalized inflammatory response—is one of the leading causes of death. In two prospective clinical studies reported by Langley et al., patients arriving at four urban emergency departments with symptoms of sepsis were evaluated clinically and by analysis of their plasma proteome and metabolome. Survivors and nonsurvivors at 28 days were compared, and a molecular signature was detected that appeared to differentiate these outcomes—even as early as the time of hospital arrival. The signature was part of a large set of differences between these groups, showing that better energy-producing fatty acid catabolism was associated with survival of the fittest in sepsis. A test developed from the signature was able to predict sepsis survival and nonsurvival reproducibly and better than current methods. This test could help to make all important decisions in the emergency room more accurate. Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at hospital admittance who would ultimately die differed markedly from those of patients who would survive. The different profiles of proteins and metabolites clustered into the following groups: fatty acid transport and β-oxidation, gluconeogenesis, and the citric acid cycle. They differed consistently among several sets of patients, and diverged more as death approached. In contrast, the metabolomes and proteomes of surviving patients with mild sepsis did not differ from survivors with severe sepsis or septic shock. An algorithm derived from clinical features together with measurements of five metabolites predicted patient survival. This algorithm may help to guide the treatment of individual patients with sepsis.


Molecular Plant-microbe Interactions | 2012

Genome Sequencing and Mapping Reveal Loss of Heterozygosity as a Mechanism for Rapid Adaptation in the Vegetable Pathogen Phytophthora capsici

Kurt Lamour; Joann Mudge; Daniel Gobena; Oscar Hurtado-Gonzales; Jeremy Schmutz; Alan Kuo; Neil Miller; Brandon J. Rice; Sylvain Raffaele; Liliana M. Cano; Arvind K. Bharti; Ryan S. Donahoo; Sabra Finley; Edgar Huitema; Jon Hulvey; Darren Platt; Asaf Salamov; Alon Savidor; Rahul Sharma; Remco Stam; Dylan Storey; Marco Thines; Joe Win; Brian J. Haas; Darrell L. Dinwiddie; Jerry Jenkins; James Knight; Jason Affourtit; Cliff Han; Olga Chertkov

The oomycete vegetable pathogen Phytophthora capsici has shown remarkable adaptation to fungicides and new hosts. Like other members of this destructive genus, P. capsici has an explosive epidemiology, rapidly producing massive numbers of asexual spores on infected hosts. In addition, P. capsici can remain dormant for years as sexually recombined oospores, making it difficult to produce crops at infested sites, and allowing outcrossing populations to maintain significant genetic variation. Genome sequencing, development of a high-density genetic map, and integrative genomic or genetic characterization of P. capsici field isolates and intercross progeny revealed significant mitotic loss of heterozygosity (LOH) in diverse isolates. LOH was detected in clonally propagated field isolates and sexual progeny, cumulatively affecting >30% of the genome. LOH altered genotypes for more than 11,000 single-nucleotide variant sites and showed a strong association with changes in mating type and pathogenicity. Overall, it appears that LOH may provide a rapid mechanism for fixing alleles and may be an important component of adaptability for P. capsici.


Genomics | 2013

Diagnosis of mitochondrial disorders by concomitant next-generation sequencing of the exome and mitochondrial genome.

Darrell L. Dinwiddie; Laurie Smith; Neil Miller; Andrea M. Atherton; Emily Farrow; Meghan E. Strenk; Sarah E. Soden; Carol J. Saunders; Stephen F. Kingsmore

Mitochondrial diseases are notoriously difficult to diagnose due to extreme locus and allelic heterogeneity, with both nuclear and mitochondrial genomes potentially liable. Using exome sequencing we demonstrate the ability to rapidly and cost effectively evaluate both the nuclear and mitochondrial genomes to obtain a molecular diagnosis for four patients with three distinct mitochondrial disorders. One patient was found to have Leigh syndrome due to a mutation in MT-ATP6, two affected siblings were discovered to be compound heterozygous for mutations in the NDUFV1 gene, which causes mitochondrial complex I deficiency, and one patient was found to have coenzyme Q10 deficiency due to compound heterozygous mutations in COQ2. In all cases conventional diagnostic testing failed to identify a molecular diagnosis. We suggest that additional studies should be conducted to evaluate exome sequencing as a primary diagnostic test for mitochondrial diseases, including those due to mtDNA mutations.


Human Mutation | 2015

Alström Syndrome: Mutation Spectrum of ALMS1

Jan D. Marshall; Jean Muller; Gayle B. Collin; Gabriella Milan; Stephen F. Kingsmore; Darrell L. Dinwiddie; Emily Farrow; Neil Miller; Francesca Favaretto; Pietro Maffei; Hélène Dollfus; Roberto Vettor; Juergen K Naggert

Alström Syndrome (ALMS), a recessive, monogenic ciliopathy caused by mutations in ALMS1, is typically characterized by multisystem involvement including early cone‐rod retinal dystrophy and blindness, hearing loss, childhood obesity, type 2 diabetes mellitus, cardiomyopathy, fibrosis, and multiple organ failure. The precise function of ALMS1 remains elusive, but roles in endosomal and ciliary transport and cell cycle regulation have been shown. The aim of our study was to further define the spectrum of ALMS1 mutations in patients with clinical features of ALMS. Mutational analysis in a world‐wide cohort of 204 families identified 109 novel mutations, extending the number of known ALMS1 mutations to 239 and highlighting the allelic heterogeneity of this disorder. This study represents the most comprehensive mutation analysis in patients with ALMS, identifying the largest number of novel mutations in a single study worldwide. Here, we also provide an overview of all ALMS1 mutations identified to date.


Blood | 2012

Exome sequencing reveals a pallidin mutation in a Hermansky-Pudlak-like primary immunodeficiency syndrome.

Raffaele Badolato; Alberto Prandini; Sonia Caracciolo; Francesca Colombo; Giovanna Tabellini; Mauro Giacomelli; Maria E. Cantarini; Andrea Pession; Callum J. Bell; Darrell L. Dinwiddie; Neil Miller; Shannon L. Hateley; Carol J. Saunders; Lu Zhang; Gary P. Schroth; Alessandro Plebani; Silvia Parolini; Stephen F. Kingsmore

To the editor: Partial albinism and primary immunodeficiency occur in several autosomal recessive disorders, including Hermansky-Pudlak syndrome type 2 (HPS2, Online Mendelian Inheritance in Man [MIM] #608233), Chediak-Higashi syndrome (MIM#214500), Griscelli syndrome types 1 (MIM#214450) and 2 (


Expert Review of Molecular Diagnostics | 2011

Adopting orphans: comprehensive genetic testing of Mendelian diseases of childhood by next-generation sequencing

Stephen F. Kingsmore; Darrell L. Dinwiddie; Neil Miller; Sarah E. Soden; Carol J. Saunders

Orphan diseases are individually uncommon but collectively contribute significantly to pediatric morbidity, mortality and healthcare costs. Current molecular testing for rare genetic disorders is often a lengthy and costly endeavor, and in many cases a molecular diagnosis is never achieved despite extensive testing. Diseases with locus heterogeneity or overlapping signs and symptoms are especially challenging owing to the number of potential targets. Consequently, there is immense need for scalable, economical, rapid, multiplexed diagnostic testing for rare Mendelian diseases. Recent advances in next-generation sequencing and bioinformatic technologies have the potential to change the standard of care for the diagnosis of rare genetic disorders. These advances will be reviewed in the setting of a recently developed test for 592 autosomal recessive and X-linked diseases.


American Journal of Respiratory Cell and Molecular Biology | 2008

Human Metapneumovirus Inhibits IFN-α Signaling through Inhibition of STAT1 Phosphorylation

Darrell L. Dinwiddie; Kevin S. Harrod

The recently discovered human metapneumovirus (hMPV) is a major cause of lower and upper respiratory tract infections worldwide. Acute viral infection initiates the interferon response that is critical in mediating viral clearance, viral host defense, and development of adaptive immunity. Mouse models of infection suggest that hMPV can cause persistent lung infections, yet the mechanisms of evading host viral clearance are unknown. Here we report that hMPV can subvert host type I interferon signaling by a mechanism distinct from other paramyxoviruses. Two lung epithelial cell lines and primary normal human bronchial epithelial cells (NHBE) were permissive for hMPV, consistent with its tropism for the respiratory tract. Treatment of hMPV-infected cells with exogenous IFN-alpha failed to reduce viral replication. Moreover, in lung epithelial cells, hMPV infection prevented IFN-alpha-mediated transactivation of the interferon-stimulated response element (ISRE) and up-regulation of interferon-stimulated genes (ISGs). Further examination of the IFN-alpha signaling cascade showed that hMPV infection prevented IFN-alpha-induced phosphorylation and nuclear translocation of STAT1. The inhibitory effects of hMPV on STAT1 phosphorylation and translocation were abolished by ultraviolet inactivation. Regulation of STAT1 by hMPV was specific, as phosphorylation of STAT2, Tyk2, and Jak1 by IFN-alpha and the surface expression of the IFN-alpha receptor were unaltered by hMPV infection. These findings demonstrate that hMPV can inhibit the type I interferon response through regulation of STAT1 phosphorylation, and provide important insight into the viral pathogenesis of hMPV infection in the respiratory tract.

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Dive into the Darrell L. Dinwiddie's collaboration.

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Neil Miller

Children's Mercy Hospital

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Sarah E. Soden

Children's Mercy Hospital

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Emily Farrow

Children's Mercy Hospital

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Joshua L. Kennedy

University of Arkansas for Medical Sciences

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Kurt Schwalm

University of New Mexico

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Ashley N. Stoner

University of Arkansas for Medical Sciences

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John C. Kincaid

University of Arkansas for Medical Sciences

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Thomas J. Abramo

University of Arkansas for Medical Sciences

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