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The University of Western Ontario

Genetic determinants underlying rare diseases identified using next-generation sequencing technologies

Abstract

dc:description.abstract

Rare disorders affect less than one in 2000 individuals, placing a huge burden on individuals, families and the health care system. Gene discovery is the starting point in understanding the molecular mechanisms underlying these diseases. The advent of next-generation sequencing has accelerated discovery of disease-causing genetic variants and is showing numerous benefits for research and medicine. I describe the application of next-generation sequencing, namely LipidSeq™ ‒ a targeted resequencing panel for the identification of dyslipidemia-associated variants ‒ and whole-exome sequencing, to identify genetic determinants of several rare diseases. Utilization of next-generation sequencing plus associated bioinformatics led to the discovery of disease-associated variants for 71 patients with lipodystrophy, two with early-onset obesity, and families with brachydactyly, cerebral atrophy, microcephaly-ichthyosis, and widow’s peak syndrome. Understanding these variants and their contribution to disease can increase understanding of disease mechanisms and help with the development of therapeutic interventions in the future.

Degree

thesis:*
Name thesis:degree_name
M Sc
Discipline thesis:degree_discipline
Biochemistry
Grantor dc:publisher
The University of Western Ontario
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ho, Rosettia
Advisor dc:contributor.advisor
  • Hegele, Robert A.

Subjects

dc:subject × 6

Rights

Language dc:language.iso
en_ca

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:uwo.scholaris.ca:20.500.14721/28298

Chain of custody

source
Harvested from
Western University
Base URL
uwo.scholaris.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Ho, Rosettia. Genetic determinants underlying rare diseases identified using next-generation sequencing technologies. The University of Western Ontario, 2018. https://hdl.handle.net/20.500.14721/28298