Taxonomic profiling and sequence data of gut microbiota available for 7000 individuals
The recent development of more advanced technologies has broadened our understanding of the role of human gut microbiome in human health. The fecal microbiome composition of more than 7000 study participants from The National FINRISK Study 2002 was analyzed using shallow shotgun sequencing. Studies using this metagenomic data have already revealed interesting insights between the microbiome composition and mortality, type 2 diabetes, blood pressure, and liver disease (see the publications listed below).
THL Biobank is very excited to announce that the metagenome data of FINRISK 2002 cohort participants used in these studies is now available to all researchers. Dr. Aki Havulinna, the project PI, says that this unique data will provide new research and collaboration opportunities for years to come.
The FINRISK 2002 metagenome data can be linked to comprehensive data collected from cohort participants at a baseline clinical visit, including clinical measurements, questionnaire data about health status, diet and lifestyle, genomic data, and various biomarkers, including NMR metabolomics. Health-related data from Finnish national registers can also be linked to the participants with a separate permission from Findata. This will allow researchers to create study designs that combine cross-sectional data from the study baseline with a long-term prospective follow-up for health status and to discover new associations between gut microbiome profiles with health and wellbeing.
The National FINRISK Study in THL Biobank
Publications resulted from research using the FINRISK 2002 metagenomic data
- Taxonomic signatures of cause-specific mortality risk in human gut microbiome
- Gut Microbiome Composition Is Predictive of Incident Type 2 Diabetes in a Population Cohort of 5,572 Finnish Adults
- Association Between the Gut Microbiota and Blood Pressure in a Population Cohort of 6953 Individuals
- Links between gut microbiome composition and fatty liver disease in a large population sample