1B-1
	
			
		
	
		GOOD NEWS AND BAD NEWS: THE PERCEIVED VALUE OF WHOLE GENOME SEQUENCING INFORMATION
	
					
	
	Method: This study estimated the value of WGS information using double-bounded contingent-valuation methods. An online survey (n=406 adults from US general population) was used to evaluate willingness to pay (WTP) for a basic WGS report consistent with current guidelines versus a report containing non-actionable findings. Respondents first indicated whether they would purchase an augmented report for a randomly assigned dollar amount. A follow-up question increased or decreased the starting value conditional on the initial response. The resulting no/no, no/yes, yes/no, and yes/yes responses define double-bounded segments for interval-regression analysis.
Result: Interest in non-actionable, fatal diseases: 34% (n=139) would want to know this information, 38% (n=154) would not want to know, and 28% (n=117) were not sure. 55% of respondents (n=224) were not willing to pay anything for such non-actionable genetic information. The Table summarizes mean incremental WTP by respondent characteristics.
| Mean WTP ($US) for information on non-actionable mutations (95% CI) | |
| Would want to know if they had gene variants that lead to a fatal disease | $226 (157, 295)*** | 
| Underwent prior genetic testing | $198 (74, 321) *** | 
| Would want to know if they had gene variants that lead to memory loss | $155 (90, 220) *** | 
| Prefers to decide themselves which results to include in report | $94 (20, 168) ** | 
| No health insurance | $86 (-38, 211) | 
| Education (bachelor’s degree or higher) | $20 (-43, 84) | 
| Race/ethnicity (white, non-Hispanic) | -$65 (-125, -6) ** | 
| **p<0.05; ***p<0.001 | |
Conclusion: A majority of respondents were unwilling to pay for non-actionable genetic information. Among the largest mean WTP values were those for mutations linked to a fatal condition or memory loss. Heterogeneity in perceived values of non-actionable genetic information suggests that considerations should be given to both actionable and non-actionable genetic information depending on patient preferences. Our findings suggest that quantifying patient preferences could provide useful information to inform WGS recommendations and policies.
