Literature DB >> 30197419

HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders.

George A Mensah1, Wei Yu2, Whitney L Barfield3, Mindy Clyne4, Michael M Engelgau3, Muin J Khoury2.   

Abstract

Recent dramatic advances in multiomics research coupled with exponentially increasing volume, complexity, and interdisciplinary nature of publications are making it challenging for scientists to stay up-to-date on the literature. Strategies to address this challenge include the creation of online databases and warehouses to support timely and targeted dissemination of research findings. Although most of the early examples have been in cancer genomics and pharmacogenomics, the approaches used can be adapted to support investigators in heart, lung, blood, and sleep (HLBS) disorders research. In this article, we describe the creation of an HLBS population genomics (HLBS-PopOmics) knowledge base as an online, continuously updated, searchable database to support the dissemination and implementation of studies and resources that are relevant to clinical and public health practice. In addition to targeted searches based on the HLBS disease categories, cross-cutting themes reflecting the ethical, legal, and social implications of genomics research; systematic evidence reviews; and clinical practice guidelines supporting screening, detection, evaluation, and treatment are also emphasized in HLBS-PopOmics. Future updates of the knowledge base will include additional emphasis on transcriptomics, proteomics, metabolomics, and other omics research; explore opportunities for leveraging data sets designed to support scientific discovery; and incorporate advanced machine learning bioinformatics capabilities.

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Year:  2018        PMID: 30197419      PMCID: PMC6402952          DOI: 10.1038/s41436-018-0118-1

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  1 in total

1.  GAPscreener: an automatic tool for screening human genetic association literature in PubMed using the support vector machine technique.

Authors:  Wei Yu; Melinda Clyne; Siobhan M Dolan; Ajay Yesupriya; Anja Wulf; Tiebin Liu; Muin J Khoury; Marta Gwinn
Journal:  BMC Bioinformatics       Date:  2008-04-22       Impact factor: 3.169

  1 in total
  4 in total

Review 1.  First Responder to Genomic Information: A Guide for Primary Care Providers.

Authors:  Susanne B Haga
Journal:  Mol Diagn Ther       Date:  2019-08       Impact factor: 4.074

2.  Building the Next Generation of Implementation Science Careers to Advance Health Equity.

Authors:  Cheryl Anne Boyce; Whitney Barfield; Jennifer Curry; Susan Shero; Melissa Green Parker; Helen Cox; Jazmin Bustillo; LeShawndra N Price
Journal:  Ethn Dis       Date:  2019-02-21       Impact factor: 1.847

3.  Tracking human genes along the translational continuum.

Authors:  Kyubum Lee; Mindy Clyne; Wei Yu; Zhiyong Lu; Muin J Khoury
Journal:  NPJ Genom Med       Date:  2019-10-16       Impact factor: 8.617

Review 4.  SleepOMICS: How Big Data Can Revolutionize Sleep Science.

Authors:  Nicola Luigi Bragazzi; Ottavia Guglielmi; Sergio Garbarino
Journal:  Int J Environ Res Public Health       Date:  2019-01-21       Impact factor: 3.390

  4 in total

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