Evidence map›Paper›PMID 38853539›Full record

ArticleCancer research and treatment2024

Safe Utilization and Sharing of Genomic Data: Amendment to the Health and Medical Data Utilization Guidelines of South Korea.

Hyojeong Park, Jongkeun Park, Hyun Goo Woo, Hongseok Yun, Minho Lee, Dongwan Hong

Abstract read
In one paragraph

Article in Cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Hyojeong ParkDepartment of Medical Sciences, Graduate School of The Catholic University of Korea, Seoul, Korea.
Jongkeun ParkDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hyun Goo WooDepartment of Physiology, Ajou University School of Medicine, Suwon, Korea.
Hongseok YunCenter for Precision Medicine, Seoul National University Hospital, Seoul, Korea.
Minho LeeDepartment of Life Science, Dongguk University, Seoul, Korea.
Dongwan HongDepartment of Medical Sciences, Graduate School of The Catholic University of Korea, Seoul, Korea.

Funding

Catholic Education FoundationCatholic Medical Center of the Catholic University of KoreaKorea Health Industry Development InstituteMinistry of Health and Welfare RS-2023-00265923Ministry of Science and ICTNational Research Foundation of Korea 2021M3H9A2097227National Research Foundation of Korea 2022R1A2C3008162National Research Foundation of Korea RS-2023-00220840
6 · The paper itself

Abstract

purposeIn 2024, medical researchers in the Republic of Korea were invited to amend the health and medical data utilization guidelines (Government Publications Registration Number: 11-1352000-0052828-14). This study aimed to show the overall impact of the guideline revision, with a focus on clinical genomic data. MATERIALS AND

methodsThis study amended the pseudonymization of genomic data defined in the previous version through a joint study led by the Ministry of Health and Welfare, the Korea Health Information Service, and the Korea Genome Organization. To develop the previous version, we held three conferences with four main medical research institutes and seven academic societies. We conducted two surveys targeting special genome experts in academia, industry, and institutes.

resultsWe found that cases of pseudonymization in the application of genome data were rare and that there was ambiguity in the terminology used in the previous version of the guidelines. Most experts (>~90%) agreed that the 'reserved' condition should be eliminated to make genomic data available after pseudonymization. In this study, the scope of genomic data was defined as clinical next-generation sequencing data, including FASTQ, BAM/SAM, VCF, and medical records. Pseudonymization targets genomic sequences and metadata, embedding specific elements, such as germline mutations, short tandem repeats, single-nucleotide polymorphisms, and identifiable data (for example, ID or environmental values). Expression data generated from multi-omics can be used without pseudonymization.

conclusionThis amendment will not only enhance the safe use of healthcare data but also promote advancements in disease prevention, diagnosis, and treatment.

Indexed as

GenomicsInformation DisseminationHigh-Throughput Nucleotide SequencingHumansRepublic of KoreaGenomic dataHealth and medical data utilization guidelineNext-generation sequencingPersonal information protection actPseudonymization

Identifiers

PMID38853539
PMCPMC11491264

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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.