Subgrouping Chronic Fatigue Syndrome Patients By Genetic and Immune Profiling

Abstract

We have successfully performed all testing of the approximately 600 samples (200 CFS/ME patients vs 397 healthy controls) we set up to do under this grant at the Stanford Human Immune Monitoring Center (HIMC) and the Stanford HLA Mindrinos lab. These samples were tested by two novel methods (CyTOF-phosphoflow and HLA Typing, respectively) to help us better understand the roles of immune responses and genetics in the pathogenesis of chronic fatigue syndrome (CFS)/myalgic encephalomyelitis (ME). It is likely that these findings will also result in an improved understanding of the pathogenesis of Gulf War Illness(GWI). For both methods, CyTOF-phosphoflow and HLA Typing, we have reviewed in excruciating detail all the potential sources of technical error in both methods, systematically cleaned all confounders and plate effects, and have set up a statistical plan.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2015
Accession Number
AD1007412

Entities

People

  • Donn Gavert
  • Holden Maecker
  • Jose Montoya
  • Luciana Mendiola
  • Michael Mindrinos
  • Rosemary Fernandez
  • Tyson Holmes

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Biostatistics
  • Cells
  • Chronic Fatigue Syndrome
  • Confidence Limits
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Diseases And Disorders
  • Genetics
  • Infectious Diseases
  • Information Science
  • Lymphocytes
  • Network Science
  • Regression Analysis
  • Statistical Analysis
  • Statistics

Readers

  • Canine Service Warrior Training Program for Wounded Warriors in the Veterinary Industry, Supported by Donors.
  • Regression Analysis.
  • Virology (or Medical Virology).

Technology Areas

  • Biotechnology