Evidence map›Paper›PMID 35796184›Full record

SynthesisJournal of the European Academy of Dermatology and Venereology : JEADV2022

Genome-wide association study of dermatophytosis in the UK Biobank cohort.

S Lehrer, P H Rheinstein

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the European Academy of Dermatology and Venereology : JEADV, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

2 authors at 2 institutions in 2 countries.

S LehrerDepartment of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0002-4850-094X
P H RheinsteinSevern Health Solutions, Severna Park, MA, USA.
Icahn School of Medicine at Mount Sinai · USSevern Trent (United Kingdom) · GB

Funding

Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIH HHS S10 OD018522NIH HHS S10OD018522NIH HHS S10 OD026880NIH HHS S10OD026880
6 · The paper itself

Abstract

backgroundAnalyses of the hereditary propensity to dermatophytosis have revealed several proven genetic relationships. They include CARD9 deficiency, HLA-DR4 and HLA-DR8 type and genes encoding interleukin-22, defensin 2 and 4, and genetic defects in dectin-1, which increased the prevalence of dermatophytosis in families and were involved in the inheritance of susceptibility in their members.

methodsTo further investigate the genetic basis of dermatophytosis, we performed a genome-wide association study (GWAS) of the UK Biobank cohort. To identify cases of dermatophytosis, we used ICD10 code B35, which covers Tinea barbae, Tinea capitis, Tinea unguium, Tinea manuum, Tinea pedis, Tinea corporis, Tinea imbricata, Tinea cruris, other dermatophytoses and dermatophytosis, unspecified. Data processing was performed on Minerva, a Linux mainframe with Centos 7.6, at the Icahn School of Medicine at Mount Sinai. We used PLINK, a whole-genome association analysis toolset, to analyse the UKB chromosome files and the UK Biobank Data Parser (ukbb parser), a python-based package that allows easy interfacing with the large UK Biobank dataset. We used LocusZoom for the Manhattan and q-q plots. Other statistical analyses were done with R and SPSS 25.

resultsGenome-wide association study (GWAS) and meta-analysis association statistics highlighted one susceptibility locus, Tubulointerstitial Nephritis Antigen (TINAG), with genome-wide significance for dermatophytosis. The top SNP was rs16885197, a missense variant within TINAG, position chr6:54308557, alleles A > G, minor allele frequency (MAF) 0.014. Multivariate logistic regression indicated that the minor G allele increased odds ratio of dermatophytosis by 7.8. Carrying two G alleles raised dermatophytosis odds ratio by a factor of 14.

conclusionMore research into genetic and other predisposing factors for dermatophytosis is critical because of the implications for prophylaxis and therapy. It might be possible to prevent infection and recurrence by identifying people who are vulnerable to chronic dermatophytosis. Identifying high-risk families would enable their members to be educated about the dangers of fungal diseases. New therapeutic techniques to target altered hormonal and immune response pathways might be created. TINAG is a prospective target that should be investigated, based on the findings of this article.

Indexed as

TineaTinea CapitisBiological Specimen BanksGenome-Wide Association StudyHumansUnited Kingdom

Identifiers

PMID35796184
PMCPMC9669130
OpenAlexW4284714515

What OpenQuestion holds

Textmetadata
LicenceTDM
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.