Evidence map›Paper›PMID 28706299›Full record

ArticleExperimental & molecular medicine2017

Findings of a 1303 Korean whole-exome sequencing study.

Soo Heon Kwak, Jeesoo Chae, Seongmin Choi, Min Jung Kim, Murim Choi, Jong-Hee Chae, Eun-Hae Cho, Tai Ju Hwang, Se Song Jang, Jong-Il Kim and 2 more

Abstract read
In one paragraph

Article in Experimental & molecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Computational identification of cross-reactive TCR epitopes with ARDitox.Journal of cancer research and clinical oncology · 2025
    Article
  4. Secondary Findings from Exome Sequencing of a Greek Cohort.Current issues in molecular biology · 2025
    Article
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  20. The MUC6/AP2A2 Locus and Its Relevance to Alzheimer's Disease: A Review.Journal of neuropathology and experimental neurology · 2020
    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

12 authors.

Soo Heon KwakDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Jeesoo ChaeDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.
Seongmin ChoiBiomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Min Jung KimDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.
Murim ChoiDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-9195-1455
Jong-Hee ChaeDepartment of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.
Eun-Hae ChoGreen Cross Genome, Yongin, Korea.
Tai Ju HwangKorean Hemophilia Foundation, Seoul, Korea.
Se Song JangDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.
Jong-Il KimDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-7240-3744
Kyong Soo ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Yung-Jue BangDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethnically specific data on genetic variation are crucial for understanding human biology and for clinical interpretation of variant pathogenicity. We analyzed data obtained by deep sequencing 1303 Korean whole exomes; the data were generated by three independent whole exome sequencing projects (named the KOEX study). The primary focus of this study was to comprehensively analyze the variant statistics, investigate secondary findings that may have clinical actionability, and identify loci that should be cautiously interpreted for pathogenicity. A total of 495 729 unique variants were identified at exonic regions, including 169 380 nonsynonymous variants and 4356 frameshift insertion/deletions. Among these, 76 607 were novel coding variants. On average, each individual had 7136 nonsynonymous single-nucleotide variants and 74 frameshift insertion/deletions. We classified 13 pathogenic and 13 likely pathogenic variants in 56 genes that may have clinical actionability according to the guidelines of the American College of Medical Genetics and Genomics, and the Association for Molecular Pathology. The carrier frequency of these 26 variants was 2.46% (95% confidence interval 1.73-3.46). To identify loci that require cautious interpretation in clinical sequencing, we identified 18 genes that are prone to sequencing errors, and 671 genes that are highly polymorphic and carry excess nonsynonymous variants. The catalog of identified variants, its annotation and frequency information are publicly available (http://koex.snu.ac.kr). These findings should be useful resources for investigating ethnically specific characteristics in human health and disease.

Indexed as

Exome SequencingGenetic VariationAsian PeopleData Interpretation, StatisticalExomeFemaleFrameshift MutationGenetic LociHigh-Throughput Nucleotide SequencingHumansMalePolymorphism, Single NucleotideRepublic of Korea

Identifiers

PMID28706299
PMCPMC5565953

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.