Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Tyler Mark Pierson is active.

Publication


Featured researches published by Tyler Mark Pierson.


Genetics in Medicine | 2011

The National Institutes of Health Undiagnosed Diseases Program: insights into rare diseases

William A. Gahl; Thomas C. Markello; Camilo Toro; Karin Fuentes Fajardo; Murat Sincan; Fred Gill; Hannah Carlson-Donohoe; Andrea Gropman; Tyler Mark Pierson; Gretchen Golas; Lynne A. Wolfe; Catherine Groden; Rena Godfrey; Michele E. Nehrebecky; Colleen Wahl; Dennis M. D. Landis; Sandra Yang; Anne Madeo; James C. Mullikin; Cornelius F. Boerkoel; Cynthia J. Tifft; David Adams

Purpose:This report describes the National Institutes of Health Undiagnosed Diseases Program, details the Program’s application of genomic technology to establish diagnoses, and details the Program’s success rate during its first 2 years.Methods:Each accepted study participant was extensively phenotyped. A subset of participants and selected family members (29 patients and 78 unaffected family members) was subjected to an integrated set of genomic analyses including high-density single-nucleotide polymorphism arrays and whole exome or genome analysis.Results:Of 1,191 medical records reviewed, 326 patients were accepted and 160 were admitted directly to the National Institutes of Health Clinical Center on the Undiagnosed Diseases Program service. Of those, 47% were children, 55% were females, and 53% had neurologic disorders. Diagnoses were reached on 39 participants (24%) on clinical, biochemical, pathologic, or molecular grounds; 21 diagnoses involved rare or ultra-rare diseases. Three disorders were diagnosed based on single-nucleotide polymorphism array analysis and three others using whole exome sequencing and filtering of variants. Two new disorders were discovered. Analysis of the single-nucleotide polymorphism array study cohort revealed that large stretches of homozygosity were more common in affected participants relative to controls.Conclusion:The National Institutes of Health Undiagnosed Diseases Program addresses an unmet need, i.e., the diagnosis of patients with complex, multisystem disorders. It may serve as a model for the clinical application of emerging genomic technologies and is providing insights into the characteristics of diseases that remain undiagnosed after extensive clinical workup.Genet Med 2012:14(1):51–59


PLOS Genetics | 2011

Whole-Exome Sequencing Identifies Homozygous AFG3L2 Mutations in a Spastic Ataxia-Neuropathy Syndrome Linked to Mitochondrial m-AAA Proteases

Tyler Mark Pierson; David Adams; Florian Bonn; Paola Martinelli; Praveen F. Cherukuri; Jamie K. Teer; Nancy F. Hansen; Pedro Cruz; Robert W. Blakesley; Gretchen Golas; Justin Y. Kwan; Anthony D. Sandler; Karin Fuentes Fajardo; Thomas C. Markello; Cynthia J. Tifft; Craig Blackstone; Elena I. Rugarli; Thomas Langer; William A. Gahl; Camilo Toro

We report an early onset spastic ataxia-neuropathy syndrome in two brothers of a consanguineous family characterized clinically by lower extremity spasticity, peripheral neuropathy, ptosis, oculomotor apraxia, dystonia, cerebellar atrophy, and progressive myoclonic epilepsy. Whole-exome sequencing identified a homozygous missense mutation (c.1847G>A; p.Y616C) in AFG3L2, encoding a subunit of an m-AAA protease. m-AAA proteases reside in the mitochondrial inner membrane and are responsible for removal of damaged or misfolded proteins and proteolytic activation of essential mitochondrial proteins. AFG3L2 forms either a homo-oligomeric isoenzyme or a hetero-oligomeric complex with paraplegin, a homologous protein mutated in hereditary spastic paraplegia type 7 (SPG7). Heterozygous loss-of-function mutations in AFG3L2 cause autosomal-dominant spinocerebellar ataxia type 28 (SCA28), a disorder whose phenotype is strikingly different from that of our patients. As defined in yeast complementation assays, the AFG3L2Y616C gene product is a hypomorphic variant that exhibited oligomerization defects in yeast as well as in patient fibroblasts. Specifically, the formation of AFG3L2Y616C complexes was impaired, both with itself and to a greater extent with paraplegin. This produced an early-onset clinical syndrome that combines the severe phenotypes of SPG7 and SCA28, in additional to other “mitochondrial” features such as oculomotor apraxia, extrapyramidal dysfunction, and myoclonic epilepsy. These findings expand the phenotype associated with AFG3L2 mutations and suggest that AFG3L2-related disease should be considered in the differential diagnosis of spastic ataxias.


Annals of clinical and translational neurology | 2014

GRIN2A mutation and early-onset epileptic encephalopathy: personalized therapy with memantine.

Tyler Mark Pierson; Hongjie Yuan; Eric D. Marsh; Karin Fuentes-Fajardo; David Adams; Thomas C. Markello; Gretchen Golas; Dimitre R. Simeonov; Conisha Holloman; Anel Tankovic; Manish M. Karamchandani; John M. Schreiber; James C. Mullikin; Cynthia J. Tifft; Camilo Toro; Cornelius F. Boerkoel; Stephen F. Traynelis; William A Gahl

Early‐onset epileptic encephalopathies have been associated with de novo mutations of numerous ion channel genes. We employed techniques of modern translational medicine to identify a disease‐causing mutation, analyze its altered behavior, and screen for therapeutic compounds to treat the proband.


Nature Communications | 2014

Functional analysis of a de novo GRIN2A missense mutation associated with early-onset epileptic encephalopathy

Hongjie Yuan; Kasper B. Hansen; Jing Zhang; Tyler Mark Pierson; Thomas C. Markello; Karin Fuentes Fajardo; Conisha Holloman; Gretchen Golas; David Adams; Cornelius F. Boerkoel; William A. Gahl; Stephen F. Traynelis

NMDA receptors (NMDAR), ligand-gated ion channels, play important roles in various neurological disorders, including epilepsy. Here we show the functional analysis of a de novo missense mutation (L812M) in a gene encoding NMDAR subunit GluN2A (GRIN2A). The mutation, identified in a patient with early-onset epileptic encephalopathy and profound developmental delay, is located in the linker region between the ligand-binding and transmembrane domains. Electrophysiological recordings revealed that the mutation enhances agonist potency, decreases sensitivity to negative modulators including magnesium, protons and zinc, prolongs the synaptic response time course, and increases single channel open probability. The functional changes of this amino acid apply to all other NMDAR subunits, suggesting an important role of this residue on the function of NMDARs. Taken together, these data suggest that the L812M mutation causes over-activation of NMDARs and drives neuronal hyperexcitability. We hypothesize that this mechanism underlies the patient’s epileptic phenotype as well as cerebral atrophy.


European Journal of Human Genetics | 2012

Exome sequencing and SNP analysis detect novel compound heterozygosity in fatty acid hydroxylase-associated neurodegeneration

Tyler Mark Pierson; Dimitre R. Simeonov; Murat Sincan; David A Adams; Thomas C. Markello; Gretchen Golas; Karin Fuentes-Fajardo; Nancy F. Hansen; Praveen F. Cherukuri; Pedro Cruz; Craig Blackstone; Cynthia J. Tifft; Cornelius F. Boerkoel; William A. Gahl

Fatty acid hydroxylase-associated neurodegeneration due to fatty acid 2-hydroxylase deficiency presents with a wide range of phenotypes including spastic paraplegia, leukodystrophy, and/or brain iron deposition. All previously described families with this disorder were consanguineous, with homozygous mutations in the probands. We describe a 10-year-old male, from a non-consanguineous family, with progressive spastic paraplegia, dystonia, ataxia, and cognitive decline associated with a sural axonal neuropathy. The use of high-throughput sequencing techniques combined with SNP array analyses revealed a novel paternally derived missense mutation and an overlapping novel maternally derived ∼28-kb genomic deletion in FA2H. This patient provides further insight into the consistent features of this disorder and expands our understanding of its phenotypic presentation. The presence of a sural nerve axonal neuropathy had not been previously associated with this disorder and so may extend the phenotype.


Human Mutation | 2013

Hereditary spastic paraplegia type 43 (SPG43) is caused by mutation in C19orf12

Guida Landouré; Peng Peng Zhu; Charles Marques Lourenço; Janel O. Johnson; Camilo Toro; Katherine V. Bricceno; Carlo Rinaldi; Katherine G. Meilleur; Modibo Sangaré; Oumarou Diallo; Tyler Mark Pierson; Hiroyuki Ishiura; Shoji Tsuji; Nichole D. Hein; John K. Fink; Marion Stoll; Garth A. Nicholson; Michael Gonzalez; Fiorella Speziani; Alexandra Durr; Giovanni Stevanin; Leslie G. Biesecker; John Accardi; Dennis M. D. Landis; William A. Gahl; Bryan J. Traynor; Wilson Marques; Stephan Züchner; Craig Blackstone; Kenneth H. Fischbeck

We report here the genetic basis for a form of progressive hereditary spastic paraplegia (SPG43) previously described in two Malian sisters. Exome sequencing revealed a homozygous missense variant (c.187G>C; p.Ala63Pro) in C19orf12, a gene recently implicated in neurodegeneration with brain iron accumulation (NBIA). The same mutation was subsequently also found in a Brazilian family with features of NBIA, and we identified another NBIA patient with a three‐nucleotide deletion (c.197_199del; p.Gly66del). Haplotype analysis revealed that the p.Ala63Pro mutations have a common origin, but MRI scans showed no brain iron deposition in the Malian SPG43 subjects. Heterologous expression of these SPG43 and NBIA variants resulted in similar alterations in the subcellular distribution of C19orf12. The SPG43 and NBIA variants reported here as well as the most common C19orf12 missense mutation reported in NBIA patients are found within a highly conserved, extended hydrophobic domain in C19orf12, underscoring the functional importance of this domain.


Annals of clinical and translational neurology | 2014

Lysosomal abnormalities in hereditary spastic paraplegia types SPG15 and SPG11

Benoı̂t Renvoisé; Jaerak Chang; Rajat Singh; Sayuri Yonekawa; Edmond J. FitzGibbon; Ami Mankodi; Adeline Vanderver; Alice B. Schindler; Camilo Toro; William A. Gahl; Don J. Mahuran; Craig Blackstone; Tyler Mark Pierson

Hereditary spastic paraplegias (HSPs) are among the most genetically diverse inherited neurological disorders, with over 70 disease loci identified (SPG1‐71) to date. SPG15 and SPG11 are clinically similar, autosomal recessive disorders characterized by progressive spastic paraplegia along with thin corpus callosum, white matter abnormalities, cognitive impairment, and ophthalmologic abnormalities. Furthermore, both have been linked to early‐onset parkinsonism.


Human Mutation | 2012

Analysis of DNA sequence variants detected by high-throughput sequencing†

David Adams; Murat Sincan; Karin Fuentes Fajardo; James C. Mullikin; Tyler Mark Pierson; Camilo Toro; Cornelius F. Boerkoel; Cynthia J. Tifft; William A. Gahl; Tom Markello

The Undiagnosed Diseases Program at the National Institutes of Health uses high‐throughput sequencing (HTS) to diagnose rare and novel diseases. HTS techniques generate large numbers of DNA sequence variants, which must be analyzed and filtered to find candidates for disease causation. Despite the publication of an increasing number of successful exome‐based projects, there has been little formal discussion of the analytic steps applied to HTS variant lists. We present the results of our experience with over 30 families for whom HTS sequencing was used in an attempt to find clinical diagnoses. For each family, exome sequence was augmented with high‐density SNP‐array data. We present a discussion of the theory and practical application of each analytic step and provide example data to illustrate our approach. The article is designed to provide an analytic roadmap for variant analysis, thereby enabling a wide range of researchers and clinical genetics practitioners to perform direct analysis of HTS data for their patients and projects. Hum Mutat 33:599–608, 2012.


Neurology | 2014

TUBB4A de novo mutations cause isolated hypomyelination

Amy Pizzino; Tyler Mark Pierson; Yiran Guo; Guy Helman; Sebastian Fortini; Kether Guerrero; Sulagna C. Saitta; Jennifer L. Murphy; Quasar Saleem Padiath; Yi Xie; Hakon Hakonarson; Xun Xu; Tara Funari; Michelle Fox; Ryan J. Taft; Marjo S. van der Knaap; Geneviève Bernard; Raphael Schiffmann; Cas Simons; Adeline Vanderver

Objective: We present a series of unrelated patients with isolated hypomyelination, with or without mild cerebellar atrophy, and de novo TUBB4A mutations. Methods: Patients in 2 large institutional review board–approved leukodystrophy bioregistries at Childrens National Medical Center and Montreal Childrens Hospital with similar MRI features had whole-exome sequencing performed. MRIs and clinical information were reviewed. Results: Five patients who presented with hypomyelination without the classic basal ganglia abnormalities were found to have novel TUBB4A mutations through whole-exome sequencing. Clinical and imaging characteristics were reviewed suggesting a spectrum of clinical manifestations. Conclusion: Hypomyelinating leukodystrophies remain a diagnostic challenge with a large percentage of unresolved cases. This finding expands the phenotype of TUBB4A-related hypomyelinating conditions beyond hypomyelination with atrophy of the basal ganglia and cerebellum. TUBB4A mutation screening should be considered in cases of isolated hypomyelination or hypomyelination with nonspecific cerebellar atrophy.


Human Mutation | 2012

VAR‐MD: A tool to analyze whole exome–genome variants in small human pedigrees with mendelian inheritance

Murat Sincan; Dimitre R. Simeonov; David Adams; Thomas C. Markello; Tyler Mark Pierson; Camilo Toro; William A. Gahl; Cornelius F. Boerkoel

The analysis of variants generated by exome sequencing (ES) of families with rare Mendelian diseases is a time‐consuming, manual process that represents one barrier to applying the technology routinely. To address this issue, we have developed a software tool, VAR‐MD (http://research.nhgri.nih.gov/software/var‐md/), for analyzing the DNA sequence variants produced by human ES. VAR‐MD generates a ranked list of variants using predicted pathogenicity, Mendelian inheritance models, genotype quality, and population variant frequency data. VAR‐MD was tested using two previously solved data sets and one unsolved data set. In the solved cases, the correct variant was listed at the top of VAR‐MDs variant ranking. In the unsolved case, the correct variant was highly ranked, allowing for subsequent identification and validation. We conclude that VAR‐MD has the potential to enhance mutation identification using family based, annotated next generation sequencing data. Moreover, we predict an incremental advancement in software performance as the reference databases, such as Single Nucleotide Polymorphism Database and Human Gene Mutation Database, continue to improve. Hum Mutat 33:593–598, 2012.

Collaboration


Dive into the Tyler Mark Pierson's collaboration.

Top Co-Authors

Avatar

William A. Gahl

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

David Adams

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Cynthia J. Tifft

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Camilo Toro

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Thomas C. Markello

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Gretchen Golas

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Murat Sincan

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Cornelius F. Boerkoel

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Craig Blackstone

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Karin Fuentes Fajardo

National Institutes of Health

View shared research outputs
Researchain Logo
Decentralizing Knowledge