| Literature DB >> 30578701 |
Leila Youssefian1,2,3, Hassan Vahidnezhad1,4, Amir Hossein Saeidian1,3, Andrew Touati1,5, Soheila Sotoudeh6, Hamidreza Mahmoudi7, Parvin Mansouri8, Maryam Daneshpazhooh7, Nessa Aghazadeh7, Kambiz Kamyab Hesari9, Mohammadreza Basiri10, Eric Londin11, Gaurav Kumar12, Sirous Zeinali4,13, Paolo Fortina12,14, Jouni Uitto1,15.
Abstract
Autosomal recessive congenital ichthyosis (ARCI), a phenotypically heterogeneous group of non-syndromic Mendelian disorders of keratinization, is caused by mutations in as many as 13 distinct genes. We examined a cohort of 125 consanguineous families with ARCI for underlying genetic mutations. The patients' DNA was analyzed with a gene-targeted next generation sequencing panel comprising 38 ichthyosis associated genes. The interpretations of results of genomic data were assisted by genome-wide homozygosity mapping and transcriptome sequencing. Sequence data analysis identified biallelic mutations in 106 families out of a total of 125 (85%), most of them (102, 96.2%) being homozygous, reflecting consanguinity in these families. Among the 85 distinct mutations in 10 different genes, 45 (53%) were previously unreported. Phenotype-genotype correlations allowed assignment of specific genes in the majority of the families to a specific subtype of ARCI, lamellar ichthyosis (LI) versus congenital ichthyosiform erythroderma (CIE). Interestingly, mutations in several genes could give rise to an overlapping phenotype consistent with either LI or CIE. Also, this is the third report for SDR9C7 and SULT2B1, and fourth report for CERS3 mutations. Direct comparison of our results with previously published regional cohorts highlights the global mutation landscape of ARCI, however, population specific differences were noted.Entities:
Keywords: Mendelian disorders of cornification; consanguinity; genodermatoses; homozygosity mapping; ichthyoses; next generation sequencing; transcriptome sequencing
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Year: 2019 PMID: 30578701 DOI: 10.1002/humu.23695
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878