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has been cited by the following article:

• TITLE: Which Disease and Individual-Based Factors Predict Intentions to Undergo Whole Genome Sequencing?

  AUTHORS: Felicity Kiln, Alana Fisher, Ilona Juraskova

  KEYWORDS: Whole Genome Sequencing, Disease Penetrance, Treatment Availability, Psychological Factors, Theoretical Model

  JOURNAL NAME: International Journal of Clinical Medicine, Vol.5 No.20, November 4, 2014

  ABSTRACT: Purpose: The past decade has seen rapid acceleration in the public’s access to Whole Genome Sequencing (WGS) technology, however, factors that may influence a person’s decision to undergo this complex health screening have received little empirical attention. This is the first psychosocial study to investigate which disease and individual-based factors predict intention to undergo WGS. Methods: A total of 164 first-year university students responded to hypothetical disease scenarios (varied by disease penetrance and treatment availability) and completed self-report measures of individual factors. Results: Intention to undergo WGS was significantly higher in the presence of available treatment and high disease penetrance (p p p