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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Identification and Computational Analysis of a Novel Pathogenic DKC1 Variant Underlying X-Linked Dyskeratosis
Namra Asghar1, Wardah Sajjad1, Muhammad Naeem2
1Medical Genetics Research Laboratory, Department of Biotechnology, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Abstract:
Dyskeratosis congenita (DC) is an inherited progressive bone marrow failure disorder caused by defective telomeres maintenance. It is characterized by a triad of mucocutaneous abnormalities (reticulated skin pigmentation, nail dystrophy, oral leukoplakia) and an increased predisposition to cancer. Genetic mutations in fourteen genes causing abnormalities in telomere biology underlying the DC phenotype have been reported. This study aimed molecular investigation of DC segregating in a Pakistani family. We ascertained a four-generation family affected by the DC phenotype. Exome and Sanger sequencing and in silico tools were used to identify and validate pathogenic variant in the affected family. All affected individuals of the family presented with the classical triad of abnormalities and adermatoglyphia. Four out of five patients died from bone marrow failure before forty years of their age. We identified a novel DKC1 missense variant [NC_000023.11:g.154774671C > T, NP_001354.1:p.(Pro409Ser)] co-segregating with the disorder in an X-linked recessive pattern. In silico analyses supported the pathogenicity of the identified variant. Our study expands the DKC1 mutation pool, which would help further comprehend the molecular mechanisms underlying DC. There is a need to emphasize molecular genetic testing in clinical settings in Pakistan to provide early, noninvasive and accurate diagnosis of inherited diseases.
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