Evidence map›Paper›PMID 40616130›Full record

ArticleBMC medical ethics2025

Returning of individual genetic findings to biobank participants: a mixed methods study results in Lithuania.

Jūratė Lekstutienė, Rūta Žiliukaitė, Marija Jakubauskienė, Eugenijus Gefenas

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Article in BMC medical ethics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Jūratė LekstutienėInstitute of Health Sciences, Faculty of Medicine, Vilnius University, M.K. Ciurlionio 21, Vilnius, 03101, Lithuania. jurate.lekstutiene@mf.vu.lt.
Rūta ŽiliukaitėInstitute of Sociology and Social Work, Faculty of Philosophy, Vilnius University, Universiteto 9/1, 01122, Vilnius, Lithuania.
Marija JakubauskienėInstitute of Health Sciences, Faculty of Medicine, Vilnius University, M.K. Ciurlionio 21, Vilnius, 03101, Lithuania.
Eugenijus GefenasInstitute of Health Sciences, Faculty of Medicine, Vilnius University, M.K. Ciurlionio 21, Vilnius, 03101, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an ongoing global debate regarding the return of individual genetic findings (IGF) in the field of biobanking. Various models for returning these findings are actively discussed, and strategies for their implementation are increasingly being developed in the context of biobanks. This study aims to analyze the perspectives of the public and experts on returning IGF to biobank participants in Lithuania. Additionally, it seeks to contribute to the discussion on identifying the most appropriate IGF return strategy for Lithuanian biobanks.

methodsWe conducted an empirical study based on a mixed methods approach involving semi-structured interviews with experts and a representative online survey of the general population with a sample of 700 participants. The mixed methods study was conducted in Lithuania in 2021. Both experts and the general population were asked to give their opinion on hypothetical IGF cases with four different scenarios: [1] “Lynch syndrome” [2], “Possession of a pathogenic variant associated with Huntington’s disease” [3], “Possession of a pathogenic variant associated with cystic fibrosis”, and [4] “Increase in genetic risk of type 2 diabetes”.

results81–92% of the study participants willing to cooperate with a biobank expressed interest in receiving all types of IGF included in the survey from the biobank. The qualitative study revealed a less uniform opinion among experts regarding the appropriateness of returning these findings. While experts unanimously agreed that biobank participants should be informed about findings indicating an increased risk of treatable monogenic diseases (such as Lynch syndrome), their opinions diverged on the return of other findings (such as possession of a pathogenic variant associated with Huntington’s disease or cystic fibrosis or increase in genetic risk of type 2 diabetes).

conclusionsSpecifying the current strategy for returning IGF to biobank participants in Lithuania, without expanding the definition of clinically actionable information, is crucial for improving the return of such information to biobank participants. To achieve this, at least two approaches—or a combination of them—can be taken: preparing and using a list of genes and diseases, such as the one outlined in the American College of Medical Genetics guidelines, or applying frameworks and guidelines, like the one proposed by Berg and colleagues, to evaluate the criteria for determining the clinical actionability of IGF.

Indexed as

Biological Specimen BanksReturn of Individual Research ResultsAdultAgedFemaleGenetic TestingHumansLithuaniaMaleMiddle AgedSurveys and QuestionnairesBiobankingEthical issues.Genetic testingIndividual genetic findings

Identifiers

PMID40616130
PMCPMC12231843

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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.