Evidence map›Paper›PMID 41436845›Full record

ArticleScientific reports2025

Implementing electronic informed consent in rare disease genomics.

Katja Ekholm, Annelie Augustinsson, Johan Sundström, Christian Johansen, Maria Storgärds, Lena Ljöstad, Fulya Taylan, Eva Ekblom, Stephanie Juran, Marlene Ek and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Katja Ekholm *Department of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Annelie Augustinsson *Care in High Technological Environments, Department of Health Sciences, Lund University, Lund, Sweden.
Johan SundströmDepartment of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
Christian JohansenMinForskning AB, Uppsala, Sweden.
Maria StorgärdsMinForskning AB, Uppsala, Sweden.
Lena LjöstadDepartment of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Fulya TaylanDepartment of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Eva EkblomDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Stephanie JuranRare Diseases Sweden, National alliance for people living with rare diseases, Sundbyberg, Sweden.
Marlene EkDepartment of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Charlotta Ingvoldstad MalmgrenDepartment of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Maria Johansson SollerDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Mikaela FriedmanDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Sofia ThunströmDepartment of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Region Vastra Gotaland, Gothenburg, Sweden.
Lovisa LovmarDepartment of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Region Vastra Gotaland, Gothenburg, Sweden.
Ann NordgrenDepartment of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Hans EhrencronaDepartment of Clinical Genetics, Pathology and Molecular Diagnostics, Skåne University Hospital, Lund, Sweden. hans.ehrencrona@med.lu.se.
Anna LindstrandDepartment of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden. anna.lindstrand@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In rare disease research, sharing of individual health data is essential for advancing diagnostics and therapies, requiring robust and ethically sound informed consent processes. Within the Genomic Medicine Sweden Rare Diseases (GMS-RD) multicenter study, an electronic informed consent (eConsent) platform was developed to support data sharing, facilitate participation and enable research engagement. Tailored to the complex consent needs of rare disease contexts, the platform was piloted at three Genomic Medicine Centers in Sweden. A total of 2244 individuals were invited in the clinical routine cohort, with an overall eConsent rate of 18.6%. Uptake was highest among adult singletons (27.8%) and lowest in trios (14.3%). In contrast, the Undiagnosed Diseases Network (UDN) Sweden cohort achieved a 94% consent rate, attributed to targeted communication and active patient organization involvement. Key challenges included technical accessibility limitations, digital literacy deficits, comprehension and language barriers, and the burden of multi-step processes, especially for families. Findings underscore the need to improve usability, strengthen communication, and implement flexible consent management over time. eConsent can broaden participation in genomic research and promote responsible data sharing. However, in rare diseases contexts, it must be designed with inclusivity, clarity, and adaptability to meet the diverse participant needs.

Indexed as

GenomicsInformed ConsentRare DiseasesGenomic MedicineHumansInformation DisseminationSwedenElectronic informed consent (eConsent)GenomicsRare diseasesWhole-genome sequencing

Identifiers

PMID41436845
PMCPMC12738699

What OpenQuestion holds

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Registered trials

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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.