Goal 2: Reduce Human Disease

Predictors of Sickle Cell Disease Severity

Can better predictors of disease severity such as specific biomarkers and/or genetic polymorphisms be identified so as to help understand the course and progression of sickle cell disease in various patients?

Is this idea a Compelling Question (CQ) or Critical Challenge (CC)? Compelling Question (CQ)

Details on the impact of addressing this CQ or CC

The high clinical variability in sickle cell disease (SCD) and the lack of sufficient data to help understand and or predict the course of an individual’s disease warrants the identification of better predictors of disease severity. The identification of predictors of disease severity, such as biomarkers, will be vital in the management and treatment of SCD, especially since more recently several plasma biomarkers and certain genetic polymorphisms have been proposed to influence specific clinical outcomes, including stroke, sickle cell nephropathy, and survival. Furthermore, studies of biomarkers or genetic markers in the context of clinical drug trials may be helpful in predicting response rates, thus allowing for more personalized therapeutic decisions.

Name of idea submitter and other team members who worked on this idea Alice Kuaban on behalf of the American Society of Hematology (ASH)



58 net votes
76 up votes
18 down votes
Idea No. 530