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Dive into the research topics where Shawn Rynearson is active.

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Featured researches published by Shawn Rynearson.


G3: Genes, Genomes, Genetics | 2014

In Vivo Determination of Direct Targets of the Nonsense Mediated Decay Pathway in Drosophila

Alex Chapin; Hao Hu; Shawn Rynearson; Julie Hollien; Mark Yandell; Mark M. Metzstein

Nonsense-mediated messenger RNA (mRNA) decay (NMD) is a mRNA degradation pathway that regulates a significant portion of the transcriptome. The expression levels of numerous genes are known to be altered in NMD mutants, but it is not known which of these transcripts is a direct pathway target. Here, we present the first genome-wide analysis of direct NMD targeting in an intact animal. By using rapid reactivation of the NMD pathway in a Drosophila melanogaster NMD mutant and globally monitoring of changes in mRNA expression levels, we can distinguish between primary and secondary effects of NMD on gene expression. Using this procedure, we identified 168 candidate direct NMD targets in vivo. Remarkably, we found that 81% of direct target genes do not show increased expression levels in an NMD mutant, presumably due to feedback regulation. Because most previous studies have used up-regulation of mRNA expression as the only means to identify NMD-regulated transcripts, our results provide new directions for understanding the roles of the NMD pathway in endogenous gene regulation during animal development and physiology. For instance, we show clearly that direct target genes have longer 3′ untranslated regions compared with nontargets, suggesting long 3′ untranslated regions target mRNAs for NMD in vivo. In addition, we investigated the role of NMD in suppressing transcriptional noise and found that although the transposable element Copia is up-regulated in NMD mutants, this effect appears to be indirect.


Genome Medicine | 2017

ClinGen Pathogenicity Calculator: a configurable system for assessing pathogenicity of genetic variants

Ronak Y. Patel; Neethu Shah; Andrew R. Jackson; Rajarshi Ghosh; Piotr Pawliczek; Sameer Paithankar; Aaron Baker; Kevin Riehle; Hailin Chen; Sofia Milosavljevic; Chris Bizon; Shawn Rynearson; Tristan Nelson; Gail P. Jarvik; Heidi L. Rehm; Steven M. Harrison; Danielle R. Azzariti; Bradford C. Powell; Larry Babb; Sharon E. Plon; Aleksandar Milosavljevic

BackgroundThe success of the clinical use of sequencing based tests (from single gene to genomes) depends on the accuracy and consistency of variant interpretation. Aiming to improve the interpretation process through practice guidelines, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) have published standards and guidelines for the interpretation of sequence variants. However, manual application of the guidelines is tedious and prone to human error. Web-based tools and software systems may not only address this problem but also document reasoning and supporting evidence, thus enabling transparency of evidence-based reasoning and resolution of discordant interpretations.ResultsIn this report, we describe the design, implementation, and initial testing of the Clinical Genome Resource (ClinGen) Pathogenicity Calculator, a configurable system and web service for the assessment of pathogenicity of Mendelian germline sequence variants. The system allows users to enter the applicable ACMG/AMP-style evidence tags for a specific allele with links to supporting data for each tag and generate guideline-based pathogenicity assessment for the allele. Through automation and comprehensive documentation of evidence codes, the system facilitates more accurate application of the ACMG/AMP guidelines, improves standardization in variant classification, and facilitates collaborative resolution of discordances. The rules of reasoning are configurable with gene-specific or disease-specific guideline variations (e.g. cardiomyopathy-specific frequency thresholds and functional assays). The software is modular, equipped with robust application program interfaces (APIs), and available under a free open source license and as a cloud-hosted web service, thus facilitating both stand-alone use and integration with existing variant curation and interpretation systems. The Pathogenicity Calculator is accessible at http://calculator.clinicalgenome.org.ConclusionsBy enabling evidence-based reasoning about the pathogenicity of genetic variants and by documenting supporting evidence, the Calculator contributes toward the creation of a knowledge commons and more accurate interpretation of sequence variants in research and clinical care.


RNA | 2012

Drosophila mutants show NMD pathway activity is reduced, but not eliminated, in the absence of Smg6

Kimberly Frizzell; Shawn Rynearson; Mark M. Metzstein

The nonsense-mediated mRNA decay (NMD) pathway is best known for targeting mutant mRNAs containing premature termination codons for rapid degradation, but it is also required for regulation of many endogenous transcripts. Components of the NMD pathway were originally identified by forward genetic screens in yeast and Caenorhabditis elegans. In other organisms, the NMD pathway has been investigated by studying the homologs of these genes. We present here the first unbiased genetic screen in Drosophila designed specifically to identify genes involved in NMD. By using a highly efficient genetic mosaic approach, we have screened ∼40% of the Drosophila genome and isolated more than 40 alleles of genes required for NMD. We focus on alleles we have obtained in two known NMD components: Upf2 and Smg6. Our analysis of multiple alleles of the core NMD component Upf2 reveals that the Upf2 requirement in NMD may be separate from its requirement for viability, indicating additional critical cellular roles for this protein. Our alleles of Smg6 are the first point mutations obtained in Drosophila, and we find that Smg6 has both endonucleolytic and nonendonucleolytic roles in NMD. Thus, our genetic screens have revealed that Drosophila NMD factors play distinct roles in target regulation, similar to what is found in mammals, but distinct from the relatively similar requirements for NMD genes observed in C. elegans and yeast.


PeerJ | 2013

Integrating precision medicine in the study and clinical treatment of a severely mentally ill person

Jason O'Rawe; Han Fang; Shawn Rynearson; Reid J. Robison; Edward S. Kiruluta; Gerald Higgins; Karen Eilbeck; Martin G. Reese; Gholson J. Lyon

Background. In recent years, there has been an explosion in the number of technical and medical diagnostic platforms being developed. This has greatly improved our ability to more accurately, and more comprehensively, explore and characterize human biological systems on the individual level. Large quantities of biomedical data are now being generated and archived in many separate research and clinical activities, but there exists a paucity of studies that integrate the areas of clinical neuropsychiatry, personal genomics and brain-machine interfaces. Methods. A single person with severe mental illness was implanted with the Medtronic Reclaim® Deep Brain Stimulation (DBS) Therapy device for Obsessive Compulsive Disorder (OCD), targeting his nucleus accumbens/anterior limb of the internal capsule. Programming of the device and psychiatric assessments occurred in an outpatient setting for over two years. His genome was sequenced and variants were detected in the Illumina Whole Genome Sequencing Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory. Results. We report here the detailed phenotypic characterization, clinical-grade whole genome sequencing (WGS), and two-year outcome of a man with severe OCD treated with DBS. Since implantation, this man has reported steady improvement, highlighted by a steady decline in his Yale-Brown Obsessive Compulsive Scale (YBOCS) score from ∼38 to a score of ∼25. A rechargeable Activa RC neurostimulator battery has been of major benefit in terms of facilitating a degree of stability and control over the stimulation. His psychiatric symptoms reliably worsen within hours of the battery becoming depleted, thus providing confirmatory evidence for the efficacy of DBS for OCD in this person. WGS revealed that he is a heterozygote for the p.Val66Met variant in BDNF, encoding a member of the nerve growth factor family, and which has been found to predispose carriers to various psychiatric illnesses. He carries the p.Glu429Ala allele in methylenetetrahydrofolate reductase (MTHFR) and the p.Asp7Asn allele in ChAT, encoding choline O-acetyltransferase, with both alleles having been shown to confer an elevated susceptibility to psychoses. We have found thousands of other variants in his genome, including pharmacogenetic and copy number variants. This information has been archived and offered to this person alongside the clinical sequencing data, so that he and others can re-analyze his genome for years to come. Conclusions. To our knowledge, this is the first study in the clinical neurosciences that integrates detailed neuropsychiatric phenotyping, deep brain stimulation for OCD and clinical-grade WGS with management of genetic results in the medical treatment of one person with severe mental illness. We offer this as an example of precision medicine in neuropsychiatry including brain-implantable devices and genomics-guided preventive health care.


Genome Biology | 2016

Taxonomer: an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling.

Steven Flygare; Keith E. Simmon; Chase Miller; Yi Qiao; Brett Kennedy; Tonya Di Sera; Erin H. Graf; Keith D. Tardif; Aurélie Kapusta; Shawn Rynearson; Chris Stockmann; Krista Queen; Suxiang Tong; Karl V. Voelkerding; Anne J. Blaschke; Carrie L. Byington; Seema Jain; Andrew T. Pavia; Krow Ampofo; Karen Eilbeck; Gabor T. Marth; Mark Yandell; Robert Schlaberg


Cancer Research | 2017

Abstract 2704: Pathogenic mutations and variants of unknown significance (VUS) in cancer predisposition genes are associated with over 10% of pediatric rhabdomyosarcoma: a report from the Children’s Oncology Group

Erin L. Young; Luke Maese; Rosann Robinson; Lance Pflieger; Barry Moore; Shawn Rynearson; Trent Fowler; Sean V. Tavtigian; Mark Yandell; Clinton C. Mason; Douglas S. Hawkins; Philip J. Lupo; Joshua D. Schiffman


Archive | 2013

Supplemental file 7 for "Integrating precision medicine in the study and clinical treatment of a severely mentally ill person."

Jason O'Rawe; Han Fang; Shawn Rynearson; Reid J. Robison; Edward S. Kiruluta; Gerald Higgins; Karen Eilbeck; Martin G. Reese; Gholson J. Lyon


Archive | 2013

Supplemental file 10 for "Integrating precision medicine in the study and clinical treatment of a severely mentally ill person."

Jason O'Rawe; Han Fang; Shawn Rynearson; Reid J. Robison; Edward S. Kiruluta; Gerald Higgins; Karen Eilbeck; Martin G. Reese; Gholson J. Lyon


Archive | 2013

Supplemental file 12 for "Integrating precision medicine in the study and clinical treatment of a severely mentally ill person."

Jason O'Rawe; Han Fang; Shawn Rynearson; Reid J. Robison; Edward S. Kiruluta; Gerald Higgins; Karen Eilbeck; Martin G. Reese; Gholson J. Lyon


Archive | 2013

Supplemental file 8 for "Integrating precision medicine in the study and clinical treatment of a severely mentally ill person."

Jason O'Rawe; Han Fang; Shawn Rynearson; Reid J. Robison; Edward S. Kiruluta; Gerald Higgins; Karen Eilbeck; Martin G. Reese; Gholson J. Lyon

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Gholson J. Lyon

Cold Spring Harbor Laboratory

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Han Fang

Cold Spring Harbor Laboratory

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Jason O'Rawe

Cold Spring Harbor Laboratory

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Martin G. Reese

Lawrence Berkeley National Laboratory

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Aaron Baker

Baylor College of Medicine

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