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Massachusetts Institute of Technology

Think ‘Zebra’

Abstract

dc:description.abstract

Thousands of rare diseases affect 300 million people globally, but a potential breakthrough in one sheds light on the systemic barriers to research and diagnosis. Ehlers-Danlos Syndrome (EDS) has thirteen subtypes, and, to date, all but one have at least one identified genetic marker. In 2021, researchers at the Medical University of South Carolina announced they may have found the first genetic marker for Hypermobile Ehlers-Danlos Syndrome (hEDS). This subtype is the most common and is commonly believed to be less severe than other types of EDS, which is not the case. Further, recent research shows hEDS may not be rare at all, a misconception that is potentially a consequence of systemic underdiagnosis that impacts both patient lives and the flow of research funding. Through stories of scientific research, healthcare provers, and patient experiences, this thesis illustrates the interplay between: difficulty of rare disease diagnosis, systemic barriers that prevent diagnosis, and the effects these have on institutional research into rare disease.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Evergreen, Shel
Advisor dc:contributor.advisor
  • Anthes, Emily

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/147595
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/147595

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Evergreen, Shel. Think ‘Zebra’. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/147595