Evidence map›Paper›PMID 35104371›Full record

ReviewClinical and experimental dermatology2022

A clinician's guide to omics resources in dermatology.

Brent J Doolan, John A McGrath, Alexandros Onoufriadis

Abstract readReview
In one paragraph

Review in Clinical and experimental dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Brent J DoolanSt John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-9497-0504
John A McGrathSt John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-3708-9964
Alexandros OnoufriadisSt John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK.ORCID https://orcid.org/0000-0001-5026-0431

Funding

National Institute for Health Research
6 · The paper itself

Abstract

With recent advances in high-throughput technologies, we are now in an era where the use of large-scale datasets of biological samples and individual diseases can be analysed using omics methodologies. These include genomics, transcriptomics, proteomics, metabolomics, lipidomics and epigenomics. Omics approaches have been developed to deliver a holistic understanding of systems biology, to identify key biomarkers, and to aid in the interpretation of molecular, biochemical and environmental interactions. Navigating through the plethora of online datasets to find useful and concise information for comparison of data can be complex and overwhelming. The purpose of this article is to review the current repositories and databases, and to evaluate their application in dermatological research and their relevance to clinical practice. For this study, an extensive review of online platforms used in dermatology research was undertaken. Online resources for genetic disease information, genetic disease connection platforms for patients and researchers, clinical interpretation of variants, genome and DNA databases, and omics data repositories and resources were collected. This study provides a comprehensive overview of relevant databases that will aid clinicians and scientists using omics data in dermatology.

Indexed as

DermatologyEpigenomicsGenomicsHumansMetabolomicsProteomics

Identifiers

PMID35104371
PMCPMC9314906

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.