Evidence map›Paper›PMID 28655895›Full record

ArticleScientific reports2017

Korean Variant Archive (KOVA): a reference database of genetic variations in the Korean population.

Sangmoon Lee, Jihae Seo, Jinman Park, Jae-Yong Nam, Ahyoung Choi, Jason S Ignatius, Robert D Bjornson, Jong-Hee Chae, In-Jin Jang, Sanghyuk Lee and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Frontiers in behavioral neuroscience · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Rare disease genomics and precision medicine.Genomics & informatics · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Clinical and Genomic Profiles of Korean Patients withAnnals of laboratory medicine · 2022
    Article
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

13 authors.

Sangmoon LeeDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Jihae SeoEwha Research Center for Systems Biology (ERCSB), Ewha Womans University, Seoul, 03760, Republic of Korea.
Jinman ParkCenter for RNA Research, Institute for Basic Science, Seoul, 08826, Republic of Korea.
Jae-Yong NamSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Republic of Korea.
Ahyoung ChoiEwha Research Center for Systems Biology (ERCSB), Ewha Womans University, Seoul, 03760, Republic of Korea.
Jason S IgnatiusYale Center for Research Computing, Yale University, New Haven, CT, 06511, USA.
Robert D BjornsonDepartment of Computer Science and Yale Center for Research Computing, Yale University, New Haven, CT, 06511, USA.
Jong-Hee ChaeDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
In-Jin JangDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, 03080, Republic of Korea.
Sanghyuk LeeEwha Research Center for Systems Biology (ERCSB), Ewha Womans University, Seoul, 03760, Republic of Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Republic of Korea.ORCID 0000-0003-4234-0380
Daehyun BaekCenter for RNA Research, Institute for Basic Science, Seoul, 08826, Republic of Korea. baek@snu.ac.kr.
Murim ChoiDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea. murimchoi@snu.ac.kr.ORCID 0000-0002-9195-1455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite efforts to interrogate human genome variation through large-scale databases, systematic preference toward populations of Caucasian descendants has resulted in unintended reduction of power in studying non-Caucasians. Here we report a compilation of coding variants from 1,055 healthy Korean individuals (KOVA; Korean Variant Archive). The samples were sequenced to a mean depth of 75x, yielding 101 singleton variants per individual. Population genetics analysis demonstrates that the Korean population is a distinct ethnic group comparable to other discrete ethnic groups in Africa and Europe, providing a rationale for such independent genomic datasets. Indeed, KOVA conferred 22.8% increased variant filtering power in addition to Exome Aggregation Consortium (ExAC) when used on Korean exomes. Functional assessment of nonsynonymous variant supported the presence of purifying selection in Koreans. Analysis of copy number variants detected 5.2 deletions and 10.3 amplifications per individual with an increased fraction of novel variants among smaller and rarer copy number variable segments. We also report a list of germline variants that are associated with increased tumor susceptibility. This catalog can function as a critical addition to the pre-existing variant databases in pursuing genetic studies of Korean individuals.

Indexed as

Databases, GeneticGenetics, PopulationGenetic VariationAsian PeopleDNA Copy Number VariationsExomeGenetic Predisposition to DiseaseGerm-Line MutationHumansNeoplasmsPolymorphism, Single NucleotideRepublic of Korea

Identifiers

PMID28655895
PMCPMC5487339

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.