ArticleJournal of dermatological science2012
Genetic predictors of susceptibility to cutaneous fungal infections: a pilot genome wide association study to refine a candidate gene search.
Article in Journal of dermatological science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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.
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Who cites it
16 citing papers in PubMed, 29 citations in OpenAlex.
- Pediatric Pharmacotherapy: Why the Fundamentals (Still) Matter.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026Article
- The natural history and evolution of dermatophytosis: Host immunity in acute and chronic infection.PLoS pathogens · 2026Article
- A Current Diagnostic and Therapeutic Challenge: Tinea Capitis.Journal of clinical medicine · 2024Article
- An outbreak of trichophytic tinea capitis in a group of schoolchildren in a rural area of the department of Cauca, ColombiaBiomedica : revista del Instituto Nacional de Salud · 2023Article
- Pediatric Tinea Capitis: A Retrospective Cohort Study from 2010 to 2021.Journal of fungi (Basel, Switzerland) · 2023Article
- Alu Deletions inInternational journal of molecular sciences · 2022Article
- Tinea Imbricata among the Indigenous Communities: Current Global Epidemiology and Research Gaps Associated with Host Genetics and Skin Microbiota.Journal of fungi (Basel, Switzerland) · 2022Review
- An ancient haplotype containing antimicrobial peptide gene variants is associated with severe fungal skin disease in Persian cats.PLoS genetics · 2022Article
- A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women.Clinical, cosmetic and investigational dermatology · 2022Article
- Challenges and Opportunities in Understanding Genetics of Fungal Diseases: Towards a Functional Genomics Approach.Infection and immunity · 2021Review
- Genetic Predisposition and its Heredity in the Context of Increased Prevalence of Dermatophytoses.Mycopathologia · 2021Review
- Advances in Understanding Human Genetic Variations That Influence Innate Immunity to Fungi.Frontiers in cellular and infection microbiology · 2020Review
- Genetic Predictors of Susceptibility to Dermatophytoses.Mycopathologia · 2017Article
- Tinea Capitis: Current Status.Mycopathologia · 2017Review
- Review
- Similarities in Gene Expression Profiles during In Vitro Aging of Primary Human Embryonic Lung and Foreskin Fibroblasts.BioMed research international · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTrichophyton tonsurans is the foremost fungal pathogen of minority children in the U.S. Despite overwhelming infection rates, it does not appear that this fungus infects children in a non-specific manner.
objectiveThis study was designed to identify genes that may predispose or protect a child from T. tonsurans infection.
methodsChildren participating in an earlier longitudinal study wherein infection rates could be reliably determined were eligible for inclusion. DNA from a subset (n=40) of these children at the population extremes underwent whole genome genotyping (WGG). Allele frequencies between cases and controls were examined and significant SNPs were used to develop a candidate gene list for which the remainder of the cohort (n=115) were genotyped. Cumulative infection rate was examined by genotype and the ability of selected genotypes to predict the likelihood of infection explored by multivariable analysis.
results23 genes with a putative mechanistic role in cutaneous infection were selected for evaluation. Of these, 21 demonstrated significant differences in infection rate between genotypes. A risk index assigned to genotypes in the 21 genes accounted for over 60% of the variability observed in infection rate (adjusted r(2)=0.665, p<0.001). Among these, 8 appeared to account for the majority of variability that was observed (r(2)=0.603, p<0.001). These included genes involved in: leukocyte activation and migration, extracellular matrix integrity and remodeling, epidermal maintenance and wound repair, and cutaneous permeability.
conclusionsApplying WGG to individuals at the extremes of phenotype can help to guide the selection of candidate genes in populations of small cohorts where disease etiology is likely polygenic in nature.
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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.