The purpose of this study is to validate the use of the FH Foundation FIND FH® Algorithm as a clinical decision support tool. FIND FH (Flag/Identify/Network/Engage) is a national initiative that utilizes machine learning and data mining techniques to identify individuals whose profiles are consistent with FH patients. The algorithm will be tested in adults with at least one cardiovascular comorbidity. Study subjects will be asked to provide either a saliva, buccal or venous blood sample for DNA and biomarker analysis

Inclusion Criteria:

• Age 18 years or older
• At least one cardiovascular co-morbidity or receiving treatment for a cardiovascular comorbidity
• Algorithm score 0-1
• Most recent encounter with a provider within five years of query date

Exclusion Criteria:

• Any medical or psychological conditions that, in the opinion of the investigator, would compromise the subject's safety or successful participation in the study, or confound study data

Randomly selected patients from University of Pennsylvania and Lancaster General Hospital with at least 1 cardiovascular comorbidity seen at hospital within the past five years.

De-identified data will be shared with other investigators

De-identified data will be shared at end of study after database lock

Research team