Evidence map›Paper›PMID 42129483›Full record

ReviewGenes and immunity2026

Immunogenetics in psoriasis: towards personalised diagnosis and treatment strategies.

Dineshwar Sugumaran, Audrey Chee Hui Yong, Kang Nien How, Johnson Stanslas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Genes and immunity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Dineshwar SugumaranPharmacotherapeutic Unit, Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0009-0002-9626-9137
Audrey Chee Hui YongFaculty of Pharmacy and Biomedical Sciences, MAHSA University, Jenjarom, Selangor, Malaysia.
Kang Nien HowDermatology Unit, Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Johnson StanslasPharmacotherapeutic Unit, Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. rcxjs@upm.edu.my.ORCID http://orcid.org/0000-0002-6938-954X

Funding

Ministry of Higher Education, Malaysia (MOHE) FRGS/1/2019/SKK06/MAHSA/02/1
6 · The paper itself

Abstract

Psoriasis is an autoimmune disorder, and about 125 million people worldwide suffer from this chronic skin disease. It is a multifactorial disorder influenced by the combined action of many genetic factors and their interactions with environmental factors. Recently, significant advances in research have provided greater insight into the pathophysiologic mechanisms, highlighting the roles of genetic susceptibility loci such as HLA-C*06:02, IL12B, and TNIP1, as well as immune pathways involving IL-17, IL-23, and TNF-α. These discoveries not only provided a better understanding of psoriasis but also played a vital role in developing treatment strategies. This review highlights immunological and genetic insights of psoriasis, emphasising their translational relevance. The review also covers how genetic variations modulate the immune response, leading to disease occurrence and chronicity. Moreover, the article explores how these findings are shaping personalised diagnosis and treatment strategies. This strategy holds the promise of enhancing the treatment of individuals with psoriasis by transitioning from the traditional care paradigm to patient-centred care in dermatology.

Indexed as

Precision MedicinePsoriasisGenetic Predisposition to DiseaseHLA-C AntigensHumansImmunogeneticsInterleukin-17Interleukin-23HLA-C AntigensInterleukin-17Interleukin-23

Identifiers

What OpenQuestion holds

Textmetadata
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.