Back

Blood donor biobank pipeline to collect genome-based samples for research

Honkanen, J.; Timonen, V. A.; Koski, J. R.; Juvila, J.; Arvas, M.; Blood Service Biobank, ; FinnGen, ; Hartwall, L.; Kilpivaara, O.; Rodosthenous, R. S.; Wartiovaara-Kautto, U.; Vuorela, A.; Daly, M. J.; Palotie, A.; Pitkanen, E.; Partanen, J.

2025-10-02 molecular biology
10.1101/2025.09.30.679473 bioRxiv
Show abstract

The integration of genome data with electronic health records, driven by large biobank studies, has advanced human genetics by allowing systematic exploration of genotype-phenotype links. Regular donation enables large, longitudinal sample cohorts. Because blood donors are generally healthy, disease treatments or progression do not disturb interpretations in functional studies. We describe here a pipeline on how to collect blood donors high quality plasma, serum, and living cell samples for multi-omics studies. Peripheral blood mononuclear cells (PBMC) were frozen and, after thawing, contained standard levels of immune cell subpopulations, responded to immune activation, and were of good quality starting material for multi-omics and cell imaging studies. We demonstrate that most genetic variants of interest to the major genomics study in Finland, FinnGen, could be found by random collection of samples during the standard blood donation without recall. Probing simple associations in the multi-omics data confirmed expected associations with e.g. age and sex, demonstrating good sample quality. As an example of interesting findings, we observed a significant association between frequent blood donation and lower levels of per- and polyfluoroalkyl substances (PFAS). The study demonstrates that regular blood donors are a suitable target population for high-quality, cost-effective sample collections.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 1%
15.8%
2
Molecular Omics
23 papers in training set
Top 0.1%
9.3%
3
Nature Communications
5641 papers in training set
Top 20%
8.2%
4
Journal of Thrombosis and Haemostasis
32 papers in training set
Top 0.1%
6.5%
5
Communications Biology
993 papers in training set
Top 3%
4.5%
6
PLOS ONE
5266 papers in training set
Top 36%
3.4%
7
International Journal of Molecular Sciences
494 papers in training set
Top 4%
2.9%
50% of probability mass above
8
Journal of Proteome Research
234 papers in training set
Top 1.0%
2.2%
9
Analytical Chemistry
218 papers in training set
Top 1%
2.2%
10
Communications Medicine
113 papers in training set
Top 2%
1.8%
11
Cell Reports Methods
165 papers in training set
Top 2%
1.8%
12
iScience
1154 papers in training set
Top 16%
1.8%
13
EMBO Molecular Medicine
95 papers in training set
Top 0.8%
1.8%
14
BMC Genomics
406 papers in training set
Top 5%
1.6%
15
eBioMedicine
183 papers in training set
Top 3%
1.4%
16
Cells
249 papers in training set
Top 4%
1.4%
17
Clinical Chemistry
22 papers in training set
Top 0.2%
1.2%
18
eLife
5828 papers in training set
Top 55%
1.2%
19
Biosensors and Bioelectronics
57 papers in training set
Top 0.6%
1.1%
20
Biomolecules
100 papers in training set
Top 2%
1.1%
21
Data in Brief
14 papers in training set
Top 0.1%
1.1%
22
Computational and Structural Biotechnology Journal
242 papers in training set
Top 5%
1.1%
23
Biomedicines
67 papers in training set
Top 2%
0.9%
24
Frontiers in Immunology
638 papers in training set
Top 9%
0.9%
25
BMC Methods
15 papers in training set
Top 0.1%
0.9%
26
Cell Reports
1498 papers in training set
Top 26%
0.9%
27
Journal of Biological Chemistry
690 papers in training set
Top 10%
0.6%
28
Journal of Personalized Medicine
28 papers in training set
Top 1%
0.6%
29
Transfusion
21 papers in training set
Top 0.2%
0.6%
30
Epigenetics
50 papers in training set
Top 0.7%
0.6%