Abstract
Palmar hyperlinearity has been identified in 68%-85% of individuals with heterozygous filaggrin gene (FLG) mutations and up to 100% of individuals with homozygous FLG mutations. However, the definition of palmar hyperlinearity used in studies has varied. We aimed to standardize prediction of FLG status from palmar images using machine learning. Palmar images and FLG genotyping were available for 342 individuals with atopic dermatitis from the Tower Hamlets Eczema Assessment study. There were 97 individuals (28%) with FLG mutations (10 homozygous or compound heterozygous and 87 heterozygous) and 245 wild type individuals (72%).
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