ArticleClinical, cosmetic and investigational dermatology2018
Genetic polymorphism analysis of patients with primary hyperhidrosis.
Article in Clinical, cosmetic and investigational dermatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- A neurocutaneous NaScience advances · 2026Article
- Prediction of compensatory hyperhidrosis severity after endoscopic thoracic sympathectomy in primary hyperhidrosis patients based on rough set analysis.Journal of thoracic disease · 2026Article
- Primary hyperhidrosis: From a genetics point of view.Journal of family medicine and primary care · 2023Review
- A Practical Approach to the Diagnosis and Treatment of Palmar Hyperhidrosis.Plastic and reconstructive surgery. Global open · 2022Article
- Article
- Primary Hyperhidrosis: Prevalence, Severity, and Impact on Quality of Life among Jordanian Patients.Indian journal of dermatologyArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHyperhidrosis affects 220 million people worldwide. The hallmark of this condition is excessive sweating, which negatively impacts the social, emotional, and occupational lives of these individuals. A familial predisposition has been established; however, the specific genes involved have yet to be identified.
objectiveThe aim of this study was to determine possible genetic variations contributing to primary hyperhidrosis, specifically single-nucleotide polymorphisms (SNPs). PATIENTS AND
methodsTwenty-one case and 21 control DNA samples were extracted and genotyped for 20 SNPs associated with the Butyrylcholinesterase (
resultsFor rs1126680, the -116A variant allele (
conclusionOur results are consistent with previous research that shows the K-variant requires the -116A variant to be present in order to observe a decrease in BChE activity levels. These results are not statistically significant (
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