Unknown

Dataset Information

0

Rare Compound Heterozygous Frameshift Mutations in ALMS1 Gene Identified Through Exome Sequencing in a Taiwanese Patient With Alstrom Syndrome.


ABSTRACT: Alström syndrome (AS) is a rare autosomal recessive disorder that shares clinical features with other ciliopathy-related diseases. Genetic mutation analysis is often required in making differential diagnosis but usually costly in time and effort using conventional Sanger sequencing. Herein we describe a Taiwanese patient presenting cone-rod dystrophy and early-onset obesity that progressed to diabetes mellitus with marked insulin resistance during adolescence. Whole exome sequencing of the patient's genomic DNA identified a novel frameshift mutation in exons 15 (c.10290_10291delTA, p.Lys3431Serfs*10) and a rare mutation in 16 (c.10823_10824delAG, p.Arg3609Alafs*6) of ALMS1 gene. The compound heterozygous mutations were predicted to render truncated proteins. This report highlighted the clinical utility of exome sequencing and extended the knowledge of mutation spectrum in AS patients.

SUBMITTER: Tsai MC 

PROVIDER: S-EPMC5915457 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

Rare Compound Heterozygous Frameshift Mutations in <i>ALMS1</i> Gene Identified Through Exome Sequencing in a Taiwanese Patient With Alström Syndrome.

Tsai Meng-Che MC   Yu Hui-Wen HW   Liu Tsunglin T   Chou Yen-Yin YY   Chiou Yuan-Yow YY   Chen Peng-Chieh PC  

Frontiers in genetics 20180418


Alström syndrome (AS) is a rare autosomal recessive disorder that shares clinical features with other ciliopathy-related diseases. Genetic mutation analysis is often required in making differential diagnosis but usually costly in time and effort using conventional Sanger sequencing. Herein we describe a Taiwanese patient presenting cone-rod dystrophy and early-onset obesity that progressed to diabetes mellitus with marked insulin resistance during adolescence. Whole exome sequencing of the patie  ...[more]

Similar Datasets

| S-EPMC6933154 | biostudies-literature
| S-EPMC3774572 | biostudies-literature
| S-EPMC8710367 | biostudies-literature
| S-EPMC5364697 | biostudies-literature
| S-EPMC3828584 | biostudies-literature
| S-EPMC4475486 | biostudies-literature
| S-EPMC6732278 | biostudies-literature
| S-EPMC3850975 | biostudies-literature
| S-EPMC2862911 | biostudies-literature
| S-EPMC7457090 | biostudies-literature