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Jason H Moore

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https://www.readbyqxmd.com/read/27908648/interdisciplinary-care-of-children-with-severe-bronchopulmonary-dysplasia
#1
Steven H Abman, Joseph M Collaco, Edward G Shepherd, Martin Keszler, Milenka Cuevas-Guaman, Stephen E Welty, William E Truog, Sharon A McGrath-Morrow, Paul E Moore, Lawrence M Rhein, Haresh Kirpalani, Huayan Zhang, Linda L Gratny, Susan K Lynch, Jennifer Curtiss, Barbara S Stonestreet, Robin L McKinney, Kevin C Dysart, Jason Gien, Christopher D Baker, Pamela K Donohue, Eric Austin, Candice Fike, Leif D Nelin
No abstract text is available yet for this article.
November 28, 2016: Journal of Pediatrics
https://www.readbyqxmd.com/read/27897015/no-boundary-thinking-in-bioinformatics
#2
Jason H Moore, Steven F Jennings, Casey S Greene, Lawrence E Hunter, Andy D Perkins, Clarlynda Williams-Devane, Donald C Wunsch, Zhongming Zhao, Xiuzhen Huang
The following sections are included:Bioinformatics is a Mature DisciplineThe Golden Era of Bioinformatics Has BegunNo-Boundary Thinking in BioinformaticsReferences.
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27897014/the-training-of-next-generation-data-scientists-in-biomedicine
#3
Lana X Garmire, Stephen Gliske, Quynh C Nguyen, Jonathan H Chen, Shamim Nemati, John D VAN Horn, Jason H Moore, Carol Shreffler, Michelle Dunn
With the booming of new technologies, biomedical science has transformed into digitalized, data intensive science. Massive amount of data need to be analyzed and interpreted, demand a complete pipeline to train next generation data scientists. To meet this need, the transinstitutional Big Data to Knowledge (BD2K) Initiative has been implemented since 2014, complementing other NIH institutional efforts. In this report, we give an overview the BD2K K01 mentored scientist career awards, which have demonstrated early success...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896976/missing-data-imputation-in-the-electronic-health-record-using-deeply-learned-autoencoders
#4
Brett K Beaulieu-Jones, Jason H Moore
Electronic health records (EHRs) have become a vital source of patient outcome data but the widespread prevalence of missing data presents a major challenge. Different causes of missing data in the EHR data may introduce unintentional bias. Here, we compare the effectiveness of popular multiple imputation strategies with a deeply learned autoencoder using the Pooled Resource Open-Access ALS Clinical Trials Database (PRO-ACT). To evaluate performance, we examined imputation accuracy for known values simulated to be either missing completely at random or missing not at random...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896910/novel-delivery-technique-for-atrial-septal-defect-closure-in-young-children-utilizing-the-gore-%C3%A2-cardioform-%C3%A2-septal-occluder
#5
Jason H Anderson, Hannah Fraint, Phillip Moore, Allison K Cabalka, Nathaniel W Taggart
OBJECTIVES: To develop a novel delivery technique to overcome vascular size limitations for device closure of a secundum ASD in the young patient. BACKGROUND: The efficacy, clinical utility, and safety of transcatheter closure in comparison to surgical closure are well established; however, access vessel size remains a potential limitation to device selection in the young patient. METHODS: A retrospective medical record review of all cases of secundum ASD closure between April 2015 and April 2016 utilizing a novel delivery method described herein at two separate academic institutions...
November 29, 2016: Catheterization and Cardiovascular Interventions
https://www.readbyqxmd.com/read/27848076/identifying-gene-gene-interactions-that-are-highly-associated-with-four-quantitative-lipid-traits-across-multiple-cohorts
#6
Rishika De, Shefali S Verma, Emily Holzinger, Molly Hall, Amber Burt, David S Carrell, David R Crosslin, Gail P Jarvik, Helena Kuivaniemi, Iftikhar J Kullo, Leslie A Lange, Matthew B Lanktree, Eric B Larson, Kari E North, Alex P Reiner, Vinicius Tragante, Gerard Tromp, James G Wilson, Folkert W Asselbergs, Fotios Drenos, Jason H Moore, Marylyn D Ritchie, Brendan Keating, Diane Gilbert-Diamond
Genetic loci explain only 25-30 % of the heritability observed in plasma lipid traits. Epistasis, or gene-gene interactions may contribute to a portion of this missing heritability. Using the genetic data from five NHLBI cohorts of 24,837 individuals, we combined the use of the quantitative multifactor dimensionality reduction (QMDR) algorithm with two SNP-filtering methods to exhaustively search for SNP-SNP interactions that are associated with HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), total cholesterol (TC) and triglycerides (TG)...
November 15, 2016: Human Genetics
https://www.readbyqxmd.com/read/27833658/considerations-for-higher-efficiency-and-productivity-in-research-activities
#7
EDITORIAL
Diego A Forero, Jason H Moore
There are several factors that are known to affect research productivity; some of them imply the need for large financial investments and others are related to work styles. There are some articles that provide suggestions for early career scientists (PhD students and postdocs) but few publications are oriented to professors about scientific leadership. As academic mentoring might be useful at all levels of experience, in this note we suggest several key considerations for higher efficiency and productivity in academic and research activities...
2016: BioData Mining
https://www.readbyqxmd.com/read/27747820/two-dimensional-enrichment-analysis-for-mining-high-level-imaging-genetic-associations
#8
Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L Risacher, Mark Inlow, Jason H Moore, Andrew J Saykin, Li Shen
Enrichment analysis has been widely applied in the genome-wide association studies, where gene sets corresponding to biological pathways are examined for significant associations with a phenotype to help increase statistical power and improve biological interpretation. In this work, we expand the scope of enrichment analysis into brain imaging genetics, an emerging field that studies how genetic variation influences brain structure and function measured by neuroimaging quantitative traits (QT). Given the high dimensionality of both imaging and genetic data, we propose to study Imaging Genetic Enrichment Analysis (IGEA), a new enrichment analysis paradigm that jointly considers meaningful gene sets (GS) and brain circuits (BC) and examines whether any given GS-BC pair is enriched in a list of gene-QT findings...
May 13, 2016: Brain Informatics
https://www.readbyqxmd.com/read/27732601/cardiovascular-disease-risk-factors-in-ghana-during-the-rural-to-urban-transition-a-cross-sectional-study
#9
Nuri Kodaman, Melinda C Aldrich, Rafal Sobota, Folkert W Asselbergs, Kwabena A Poku, Nancy J Brown, Jason H Moore, Scott M Williams
Populations in sub-Saharan Africa are shifting from rural to increasingly urban. Although the burden of cardiovascular disease is expected to increase with this changing landscape, few large studies have assessed a wide range of risk factors in urban and rural populations, particularly in West Africa. We conducted a cross-sectional, population-based survey of 3317 participants from Ghana (≥18 years old), of whom 2265 (57% female) were from a mid-sized city (Sunyani, population ~250,000) and 1052 (55% female) were from surrounding villages (populations <5000)...
2016: PloS One
https://www.readbyqxmd.com/read/27720222/intestinal-barrier-dysfunction-in-human-necrotizing-enterocolitis
#10
Sarah A Moore, Prashant Nighot, Cynthia Reyes, Manmeet Rawat, Jason McKee, David Lemon, Joshua Hanson, Thomas Y Ma
BACKGROUND: Intestinal barrier dysfunction has been implicated in necrotizing enterocolitis (NEC), but has not been directly measured in human NEC. METHODS: Small intestines removed during surgery were immediately mounted in an Ussing chamber. mRNA expression of tight junction (TJ) proteins was measured with RT-PCR. RESULTS: Fifteen infants were included, 5 with NEC and 10 with other diagnoses. Average transepithelial resistance (TER) was 11...
September 15, 2016: Journal of Pediatric Surgery
https://www.readbyqxmd.com/read/27700046/laser-assisted-focused-he-ion-beam-induced-etching-with-and-without-xef2-gas-assist
#11
Michael G Stanford, Kyle Mahady, Brett B Lewis, Jason D Fowlkes, Shida Tan, Richard H Livengood, Gregory A Magel, Thomas M Moore, Philip D Rack
Focused helium ion (He+) milling has been demonstrated as a high-resolution nanopatterning technique, however it can be limited by its low sputter yield as well as the introduction of undesired sub-surface damage. Here, we introduce pulsed laser and gas assisted processes to enhance the material removal rate and patterning fidelity. A pulsed laser-assisted He+ milling process is shown to enable high resolution milling of titanium while reducing sub-surface damage in situ. Gas-assisted focused ion beam induced etching (FIBIE) of Ti is also demonstrated in which the XeF2 precursor provides a chemical assist for enhanced material removal rate...
October 4, 2016: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/27697752/plasminogen-activator-inhibitor-1-and-diagnosis-of-the-metabolic-syndrome-in-a-west-african-population
#12
Nuri Kodaman, Melinda C Aldrich, Rafal Sobota, Folkert W Asselbergs, Nancy J Brown, Jason H Moore, Scott M Williams
BACKGROUND: Metabolic syndrome (MetS) is diagnosed by the presence of at least 3 of the following: obesity, hypertension, hyperglycemia, hypertriglyceridemia, and low high-density lipoprotein. Individuals with MetS also typically have elevated plasma levels of the antifibrinolytic factor, plasminogen activator inhibitor-1 (PAI-1), but the relationships between PAI-1 and MetS diagnostic criteria are not clear. Understanding these relationships can elucidate the relevance of MetS to cardiovascular disease risk, because PAI-1 is associated with ischemic events and directly involved in thrombosis...
October 3, 2016: Journal of the American Heart Association
https://www.readbyqxmd.com/read/27688810/the-tip-of-the-iceberg-challenges-of-accessing-hospital-electronic-health-record-data-for-biological-data-mining
#13
EDITORIAL
Spiros C Denaxas, Folkert W Asselbergs, Jason H Moore
Modern cohort studies include self-reported measures on disease, behavior and lifestyle, sensor-based observations from mobile phones and wearables, and rich -omics data. Follow-up is often achieved through electronic health record (EHR) linkages across primary and secondary healthcare providers. Historically however, researchers typically only get to see the tip of the iceberg: coded administrative data relating to healthcare claims which mainly record billable diagnoses and procedures. The rich data generated during the clinical pathway remain submerged and inaccessible...
2016: BioData Mining
https://www.readbyqxmd.com/read/27634021/oncologic-outcomes-of-selective-neck-dissection-in-hpv-related-oropharyngeal-squamous-cell-carcinoma
#14
Joseph Zenga, Ryan S Jackson, Evan M Graboyes, Parul Sinha, Miranda Lindberg, Eliot J Martin, Daniel Ma, Wade L Thorstad, Jason T Rich, Eric J Moore, Bruce H Haughey
OBJECTIVES: To examine outcomes of selective neck dissection (SND) in patients with human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC) who present with clinical neck disease. STUDY DESIGN: Multi-institutional retrospective review. METHODS: Two institutional databases of patients with HPV-related OPSCC were reviewed to identify patients with clinical (c) N1-N3 neck disease who underwent SND ± adjuvant therapy...
September 16, 2016: Laryngoscope
https://www.readbyqxmd.com/read/27598418/discerning-the-impact-of-a-lithium-salt-additive-in-thin-film-light-emitting-electrochemical-cells-with-electrochemical-impedance-spectroscopy
#15
Lyndon D Bastatas, Kuo-Yao Lin, Matthew D Moore, Kristin J Suhr, Melanie H Bowler, Yulong Shen, Bradley J Holliday, Jason D Slinker
Light-emitting electrochemical cells (LEECs) from small molecules, such as iridium complexes, have great potential as low-cost emissive devices. In these devices, ions rearrange during operation to facilitate carrier injection, bringing about efficient operation from simple, single-layer devices. Prior work has shown that the luminance, efficiency, and responsiveness of iridium LEECs is greatly enhanced by the inclusion of small fractions of lithium salts, but much remains to be understood about the origin of this enhancement...
September 20, 2016: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/27578615/identifying-significant-gene-environment-interactions-using-a-combination-of-screening-testing-and-hierarchical-false-discovery-rate-control
#16
H Robert Frost, Li Shen, Andrew J Saykin, Scott M Williams, Jason H Moore
Although gene-environment (G× E) interactions play an important role in many biological systems, detecting these interactions within genome-wide data can be challenging due to the loss in statistical power incurred by multiple hypothesis correction. To address the challenge of poor power and the limitations of existing multistage methods, we recently developed a screening-testing approach for G× E interaction detection that combines elastic net penalized regression with joint estimation to support a single omnibus test for the presence of G× E interactions...
November 2016: Genetic Epidemiology
https://www.readbyqxmd.com/read/27482468/integrative-genomics-analyses-unveil-downstream-biological-effectors-of-disease-specific-polymorphisms-buried-in-intergenic-regions
#17
Haiquan Li, Ikbel Achour, Lisa Bastarache, Joanne Berghout, Vincent Gardeux, Jianrong Li, Younghee Lee, Lorenzo Pesce, Xinan Yang, Kenneth S Ramos, Ian Foster, Joshua C Denny, Jason H Moore, Yves A Lussier
Functionally altered biological mechanisms arising from disease-associated polymorphisms, remain difficult to characterize when those variants are intergenic, or, fall between genes. We sought to identify shared downstream mechanisms by which inter- and intragenic single nucleotide polymorphisms (SNPs) contribute to a specific physiopathology. Using computational modeling of 2 million pairs of disease-associated SNPs drawn from genome wide association studies (GWAS), integrated with expression Quantitative Trait Loci (eQTL) and Gene Ontology functional annotations, we predicted 3,870 inter-intra and inter-intra SNP pairs with convergent biological mechanisms (FDR<0...
2016: NPJ Genomic Medicine
https://www.readbyqxmd.com/read/27409342/meta-dimensional-data-integration-identifies-critical-pathways-for-susceptibility-tumorigenesis-and-progression-of-endometrial-cancer
#18
Runmin Wei, Immaculata De Vivo, Sijia Huang, Xun Zhu, Harvey Risch, Jason H Moore, Herbert Yu, Lana X Garmire
Endometrial Cancer (EC) is one of the most common female cancers. Genome-wide association studies (GWAS) have been investigated to identify genetic polymorphisms that are predictive of EC risks. Here we utilized a meta-dimensional integrative approach to seek genetically susceptible pathways that may be associated with tumorigenesis and progression of EC. We analyzed GWAS data obtained from Connecticut Endometrial Cancer Study (CECS) and identified the top 20 EC susceptible pathways. To further verify the significance of top 20 EC susceptible pathways, we conducted pathway-level multi-omics analyses using EC exome-Seq, RNA-Seq and survival data, all based on The Cancer Genome Atlas (TCGA) samples...
July 9, 2016: Oncotarget
https://www.readbyqxmd.com/read/27392675/embracing-complex-associations-in-common-traits-critical-considerations-for-precision-medicine
#19
REVIEW
Molly A Hall, Jason H Moore, Marylyn D Ritchie
Genome-wide association studies (GWAS) have identified numerous loci associated with human phenotypes. This approach, however, does not consider the richly diverse and complex environment with which humans interact throughout the life course, nor does it allow for interrelationships between genetic loci and across traits. As we move toward making precision medicine a reality, whereby we make predictions about disease risk based on genomic profiles, we need to identify improved predictive models of the relationship between genome and phenome...
August 2016: Trends in Genetics: TIG
https://www.readbyqxmd.com/read/27386793/a-global-test-for-gene-gene-interactions-based-on-random-matrix-theory
#20
H Robert Frost, Christopher I Amos, Jason H Moore
Statistical interactions between markers of genetic variation, or gene-gene interactions, are believed to play an important role in the etiology of many multifactorial diseases and other complex phenotypes. Unfortunately, detecting gene-gene interactions is extremely challenging due to the large number of potential interactions and ambiguity regarding marker coding and interaction scale. For many data sets, there is insufficient statistical power to evaluate all candidate gene-gene interactions. In these cases, a global test for gene-gene interactions may be the best option...
December 2016: Genetic Epidemiology
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