Subgrouping Chronic Fatigue Syndrome Patients by Genetic and Immune Profiling

Abstract

We have an Interdisciplinary project testing approximately 600 samples each in two novel methods(CyTOF-phosphoflow and HLA Typing) to help us understand the underlying genetic and immune system roles between CFS cases and controls. For the CyTOF Phospho-flow testing, there will be continuous testing until we finish all the samples that need to be completed. We have also taken a preliminary look at the data to get a sense of the output and the possible statistical analysis that could be performed once all the data is in. We will continue to work on the best statistical methods as more data becomes available. For the HLA typing testing, we are taking the necessary steps to complete the testing and look forward to studying the results. We have finished the DNA isolation and anticipate the HLA testing to be completed this upcoming year. We want to interrogate the different HLA types and take into account possible genetic and environmental exposures. The goal is to see if genetic make-up (or specific antigen) at the HLA level that makes you more susceptible to have Chronic Fatigue Syndrome (CFS) or any differences between the cases and controls. In order to extract the best information on these patients, more HLA patient data needs to be included.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2014
Accession Number
ADA608724

Entities

People

  • Holden Maecker
  • Ian Valencia
  • Jose Montoya
  • Michael Mindrinos
  • Rosemary Fernandez

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Autoimmune Diseases
  • Biomedical Research
  • Cells
  • Chronic Fatigue Syndrome
  • Data Analysis
  • Data Science
  • Data Sets
  • Department Of Defense
  • Diseases And Disorders
  • Dynamic Range
  • Environmental Exposure
  • Immune System
  • Infectious Diseases
  • Information Science
  • Statistical Analysis
  • Statistics

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  • Molecular and Cellular Biology
  • Regression Analysis.

Technology Areas

  • Biotechnology