Bridging Epigenomics and Patient Data to Detect Enhanceropathies in Cancer

Abstract

The objectives of this proposal are to integrate gene regulation data with large-scale patient genotype and Electronic Medical Record (EMR) data to identify and characterize novel, non-coding genetic markers of lymphoma and blood cancers. In the first year of this award, we have made substantial progress towards the stated goals of the project, despite the delays brought on by COVID19. Specifically, we have identified new non-coding single nucleotide polymorphisms (SNPs) tagging gene enhancers associated with risk for lymphoid cancer and have further refined our protocols for SNP prioritization. We have developed new protocols for functionally analyzing non-coding SNPs using a new massively parallel reporter assay and have submitted a manuscript currently under review.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2021
Accession Number
AD1154650

Entities

People

  • Emily C. Hodges
  • Scott Hiebert
  • Tony Capra

Organizations

  • Vanderbilt University

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Blood
  • Blood Cells
  • Cells
  • Data Analysis
  • Diseases And Disorders
  • Epigenomics
  • Gene Expression
  • Genes
  • Genetic Phenomena
  • Genetic Structures
  • Genetics
  • High Resolution
  • Human Genome
  • Lymphocytes
  • Medical Personnel
  • Students

Fields of Study

  • Biology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Immunology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology
  • Microelectronics