Evidence map›Paper›PMID 37728764›Full record

ArticleHuman genetics2023

Frequency of actionable secondary findings in 7472 Korean genomes derived from the National Project of Bio Big Data pilot study.

Youngjun Kim, Jeong-Min Kim, Hye-Won Cho, Hyun-Young Park, Mi-Hyun Park

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Youngjun KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Jeong-Min KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Hye-Won ChoDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Hyun-Young Park *Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea. hypark65@korea.kr.
Mi-Hyun Park *Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea. mihyun4868@korea.kr.
Korea National Institute of Health · KR

Funding

Korea National Institute of Health 2022-NI-060-01
6 · The paper itself

Abstract

Exome and genome sequencing (ES/GS) in genetic medicine and research leads to discovering genomic secondary findings (SFs) unrelated to the purpose of the primary test. There is a lack of agreement to return the SF results for individuals undergoing the test. The aim of this study is to investigate the frequency of actionable secondary findings using GS data obtained from the rare disease study and the Korean Genome and Epidemiology Study (KoGES) in the National Project of Bio Big Data pilot study. Pathogenic (P) or likely pathogenic (LP) variants of 78 SF genes recommended by the American College of Medical Genetics and Genomics (ACMG) were screened in the rare disease study and KoGES. The pathogenicity of SF gene variants was determined according to the ACMG interpretation. The overall SF rate was 3.75% for 280 individuals with 298 P/LP variants of 41 ACMG SF genes which were identified among 7472 study participants. The frequencies of genes associated with cardiovascular, cancer, and miscellaneous phenotypes were 2.17%, 1.22%, and 0.58%, respectively. The most frequent SF gene was TTN followed by BRCA2. The frequency of actionable SFs among participants with rare disease and general population participants in the Korean population presented here will assist in reporting results of medically actionable SFs in genomic medicine.

Indexed as

Big DataRare DiseasesGenetic TestingGenomicsHumansPilot ProjectsRepublic of Korea

Identifiers

PMID37728764
PMCPMC10602966
OpenAlexW4386878726

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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.