Evidence map›Paper›PMID 41888180›Full record

ArticleScientific reports2026

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

Jarno Honkanen, Veera A Timonen, Jessica R Koski, Julianna Juvila, Mikko Arvas, Blood Service Biobank, FinnGen, Linnea Hartwall, Outi Kilpivaara, Rodosthenis S Rodosthenous, Ulla Wartiovaara-Kautto and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jarno Honkanen *Blood Service Biobank, Finnish Red Cross Blood Service, Vantaa, Finland.
Veera A Timonen *Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Jessica R Koski *Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Julianna JuvilaBlood Service Biobank, Finnish Red Cross Blood Service, Vantaa, Finland.
Mikko ArvasResearch and Development, Finnish Red Cross Blood Service, Helsinki, Finland.
Blood Service Biobank, FinnGen
Linnea HartwallTranslational Immunology Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Outi KilpivaaraDepartment of Medical and Clinical Genetics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Rodosthenis S RodosthenousInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Ulla Wartiovaara-KauttoDepartment of Hematology, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland.
Arja VuorelaClinical and Molecular Metabolism Research Program, University of Helsinki, Helsinki, Finland.
Mark DalyInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Aarno PalotieInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Esa PitkänenInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Jukka PartanenBlood Service Biobank, Finnish Red Cross Blood Service, Vantaa, Finland. jukka.partanen@veripalvelu.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 single-nucleus multiome 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) (e.g., PFHxS β = -0.40 and p = 1.1 × 10

Indexed as

Biological Specimen BanksBlood DonorsGenome, HumanAdultBlood DonationFemaleFinlandGenomicsHumansLeukocytes, MononuclearMaleMultiomics

Identifiers

PMID41888180
PMCPMC13022163

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.