Title |
Clinical heterogeneity of PLA2G6-related Parkinsonism: analysis of two Saudi families
|
---|---|
Published in |
BMC Research Notes, June 2016
|
DOI | 10.1186/s13104-016-2102-7 |
Pubmed ID | |
Authors |
Saeed A. Bohlega, Bashayer R. Al-Mubarak, Eman A. Alyemni, Mohamed Abouelhoda, Dorota Monies, Abeer E. Mustafa, Dania S. Khalil, Sara Al Haibi, Hussam Abou Al-Shaar, Tariq Faquih, Mohamed El-Kalioby, Asma I. Tahir, Nada A. Al Tassan |
Abstract |
Recessive mutations in PLA2G6 have been associated with different neurodegenerative disorders, including infantile neuroaxonal dystrophy, neurodegeneration with brain iron accumulation and more recently, early-onset dystonia parkinsonism. Targeted-next generation sequencing using a custom Neurology panel, containing 758 OMIM-listed genes implicated in neurological disorders, was carried out in two index cases from two different Saudi families displaying early-onset levodopa-responsive Parkinsonism with pyramidal signs and additional clinical features. The detected mutations were verified in the index cases and available family members by direct sequencing. We identified a previously described PLA2G6 homozygous p.R741Q mutation in three affected and two asymptomatic individuals from two Saudi families. Our finding reinforces the notion of the broadness of the clinical spectrum of PLA2G6-related neurodegeneration. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 15% |
Student > Ph. D. Student | 3 | 12% |
Student > Bachelor | 3 | 12% |
Researcher | 3 | 12% |
Professor > Associate Professor | 2 | 8% |
Other | 6 | 23% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 27% |
Neuroscience | 6 | 23% |
Medicine and Dentistry | 3 | 12% |
Computer Science | 2 | 8% |
Psychology | 2 | 8% |
Other | 2 | 8% |
Unknown | 4 | 15% |