EA3 study: Heart Failure study and data in Sandbox
Last updated
Last updated
If you wish to use EA3 data, please familiarize yourself with these instructions.
The data is available in the /finngen/library-red/ Sandbox directory.
/finngen/library-red/EA3_HEART_FAILURE_1.0/
Expansion Area 3 (EA3) studies aim to acquire additional clinical data centered around specific diseases through biobanks.
Aim: The heart failure deep phenotyping study aimed to investigate if specific HF subtypes could be determined using combined electronic health record and healthcare register data, and if HF subtypes can be determined based on longitudinal disease trajectories. Additionally, the aim was to explore does the underlying genetic composition differ between these subtypes, and what is the validity of the HF subtypes defined using these data. Heart Failure was selected as an EA3 study trait due to lack of information on HF severity, HF subtype (preserved versus reduced ejection fraction), and longitudinal disease history (acute/acute-on-chronic/chronic/transient). Information gained from this study would further increase our knowledge on the genetic epidemiology of HF, a heterogenous disease with numerous causes that are impossible to discern perfectly using solely register data.
Methods: Data was captured from four biobanks: Auria, Helsinki, Central Finland, and Eastern Finland biobanks. The study cohort data searches were made based on the availability of EF imaging reports. The search algorithm was developed and tested already earlier during the pilot study at Auria and Helsinki Biobanks. Now, the study aimed to update the algorithm and do database search at the rest of the biobanks. The HF data contains ejection fraction values, and laboratory values (serum or plasma nt-proBNP, BNP, and creatinine) from patients selected to have EF imaging reports.
Data: The HF data has been placed in the Sandbox and is available for analysis. HF samples are from DF11 and the data has been collected from 4/6 hospital biobanks.
Summary of the data (Oct 2023):
