Evidence map›Paper›PMID 29618732›Full record

ArticleScientific reports2018

KoVariome: Korean National Standard Reference Variome database of whole genomes with comprehensive SNV, indel, CNV, and SV analyses.

Jungeun Kim, Jessica A Weber, Sungwoong Jho, Jinho Jang, JeHoon Jun, Yun Sung Cho, Hak-Min Kim, Hyunho Kim, Yumi Kim, OkSung Chung and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Rare disease genomics and precision medicine.Genomics & informatics · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. PharmaKoVariome database for supporting genetic testing.Database : the journal of biological databases and curation · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

19 authors.

Jungeun KimPersonal Genomics Institute, Genome Research Foundation, Cheongju, 28190, Republic of Korea.
Jessica A WeberDepartment of Biology, University of New Mexico, Albuquerque, NM, 87131, USA.ORCID 0000-0001-8405-4396
Sungwoong JhoPersonal Genomics Institute, Genome Research Foundation, Cheongju, 28190, Republic of Korea.
Jinho JangDepartment of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
JeHoon JunPersonal Genomics Institute, Genome Research Foundation, Cheongju, 28190, Republic of Korea.
Yun Sung ChoGeromics, Ulsan, 44919, Republic of Korea.
Hak-Min KimDepartment of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Hyunho KimGeromics, Ulsan, 44919, Republic of Korea.
Yumi KimGeromics, Ulsan, 44919, Republic of Korea.
OkSung ChungPersonal Genomics Institute, Genome Research Foundation, Cheongju, 28190, Republic of Korea.
Chang Geun KimNational Standard Reference Center, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
HyeJin LeePersonal Genomics Institute, Genome Research Foundation, Cheongju, 28190, Republic of Korea.
Byung Chul KimClinomics, Ulsan, 44919, Republic of Korea.
Kyudong HanDepartment of Nanobiomedical Science & BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116, Republic of Korea.
InSong KohDepartment of Physiology, College of Medicine, Hanyang University, Seoul, 04763, Republic of Korea.
Kyun Shik ChaeNational Standard Reference Center, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea.
Semin LeeDepartment of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Jeremy S EdwardsChemistry and Chemical Biology, UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA. jsedwards@salud.unm.edu.
Jong BhakPersonal Genomics Institute, Genome Research Foundation, Cheongju, 28190, Republic of Korea. jongbhak@genomics.org.ORCID 0000-0002-4228-1299

Funding

Haplotype Resolved Sequencing TechnologyR01HG006876 · NHGRI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2013 to 2015
$1.3M
NHGRI NIH HHS R01 HG006876
6 · The paper itself

Abstract

High-coverage whole-genome sequencing data of a single ethnicity can provide a useful catalogue of population-specific genetic variations, and provides a critical resource that can be used to more accurately identify pathogenic genetic variants. We report a comprehensive analysis of the Korean population, and present the Korean National Standard Reference Variome (KoVariome). As a part of the Korean Personal Genome Project (KPGP), we constructed the KoVariome database using 5.5 terabases of whole genome sequence data from 50 healthy Korean individuals in order to characterize the benign ethnicity-relevant genetic variation present in the Korean population. In total, KoVariome includes 12.7M single-nucleotide variants (SNVs), 1.7M short insertions and deletions (indels), 4K structural variations (SVs), and 3.6K copy number variations (CNVs). Among them, 2.4M (19%) SNVs and 0.4M (24%) indels were identified as novel. We also discovered selective enrichment of 3.8M SNVs and 0.5M indels in Korean individuals, which were used to filter out 1,271 coding-SNVs not originally removed from the 1,000 Genomes Project when prioritizing disease-causing variants. KoVariome health records were used to identify novel disease-causing variants in the Korean population, demonstrating the value of high-quality ethnic variation databases for the accurate interpretation of individual genomes and the precise characterization of genetic variations.

Indexed as

DNA Copy Number VariationsGenetics, PopulationGenome, HumanINDEL MutationPolymorphism, Single NucleotideDatabases, GeneticDiseaseFemaleHigh-Throughput Nucleotide SequencingHumansMaleMutationReference StandardsRepublic of KoreaSequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID29618732
PMCPMC5885007

What Socratic 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 Socratic graph.