Evidence map›Paper›PMID 28518059›Full record

ReviewIET systems biology2017

Recent omics technologies and their emerging applications for personalised medicine.

Dong-Hyuk Kim, Young-Sook Kim, Nam-Il Son, Chan-Koo Kang, Ah-Ram Kim

Registry-linked trialAbstract readReview
In one paragraph

Review in IET systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03279991 (Neuromed- Integrated Health Life Platform and Biobank), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT03279991 completednot on this mapstarted 2019, after this paper: background citation

Neuromed- Integrated Health Life Platform and Biobank

TypeobservationalSponsorNeuromed IRCCSRan2019 to 2023Enrolled4,000ConditionsCardiovascular Diseases, Neuro-Degenerative Disease, Cancer, Pregnancy
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Basal State Calibration of a Chemical Reaction Network Model for Autophagy.International journal of molecular sciences · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Genotypes, phenotypes and whole genome sequence: Approaches from the My Life Our Future haemophilia project.Haemophilia : the official journal of the World Federation of Hemophilia · 2018
    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

5 authors.

Dong-Hyuk KimSchool of Life Science, Handong Global University, Pohang, Gyungbuk, 37554, South Korea.
Young-Sook KimSchool of Life Science, Handong Global University, Pohang, Gyungbuk, 37554, South Korea.
Nam-Il SonSchool of Life Science, Handong Global University, Pohang, Gyungbuk, 37554, South Korea.
Chan-Koo KangSchool of Life Science, Handong Global University, Pohang, Gyungbuk, 37554, South Korea.
Ah-Ram KimSchool of Life Science, Handong Global University, Pohang, Gyungbuk, 37554, South Korea. arkim@handong.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major objective of 'omics' technologies is to understand genetic causality of complex traits of human diseases. High-throughput omics technologies and their application to medicine open up remarkable opportunities for realising optimised medical treatment for individuals. Because many major breakthrough and discoveries in this field have been driven by the development of new omics technologies, in this review, the authors aim to provide an in-depth description of their underlying principles as a foundation of developing another new omics technology, and to introduce their emerging applications for personalised medicine. The systems biology approach is then introduced as a future direction towards actionable personalised medicine.

Indexed as

GenomicsProteomicsSystems BiologyBiomarkersBreast NeoplasmsChromatin ImmunoprecipitationExomeFemaleGenome, HumanHumansMaleNeurodegenerative DiseasesPhenotypePrecision MedicinePregnancyPrenatal DiagnosisBiomarkers

Identifiers

PMID28518059
PMCPMC8687297

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.