Title |
Temple-Baraitser Syndrome and Zimmermann-Laband Syndrome: one clinical entity?
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Published in |
BMC Medical Genomics, June 2016
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DOI | 10.1186/s12881-016-0304-4 |
Pubmed ID | |
Authors |
André Mégarbané, Rashid Al-Ali, Nancy Choucair, Monko Lek, Ena Wang, Moncef Ladjimi, Catherine M. Rose, Remy Hobeika, Yvette Macary, Ramzi Temanni, Puthen V. Jithesh, Aouatef Chouchane, Konduru S Sastry, Remy Thomas, Sara Tomei, Wei Liu, Francesco M. Marincola, Daniel MacArthur, Lotfi Chouchane |
Abstract |
KCNH1 encodes a voltage-gated potassium channel that is predominantly expressed in the central nervous system. Mutations in this gene were recently found to be responsible for Temple-Baraitser Syndrome (TMBTS) and Zimmermann-Laband syndrome (ZLS). Here, we report a new case of TMBTS diagnosed in a Lebanese child. Whole genome sequencing was carried out on DNA samples of the proband and his parents to identify mutations associated with this disease. Sanger sequencing was performed to confirm the presence of detected variants. Whole genome sequencing revealed three missense mutations in TMBTS patient: c.1042G > A in KCNH1, c.2131 T > C in STK36, and c.726C > A in ZNF517. According to all predictors, mutation in KCNH1 is damaging de novo mutation that results in substitution of Glycine by Arginine, i.e., p.(Gly348Arg). This mutation was already reported in a patient with ZLS that could affect the connecting loop between helices S4-S5 of KCNH1 with a gain of function effect. Our findings demonstrate that KCNH1 mutations cause TMBTS and expand the mutational spectrum of KCNH1 in TMBTS. In addition, all cases of TMBTS were reviewed and compared to ZLS. We suggest that the two syndromes are a continuum and that the variability in the phenotypes is the result of the involvement of genetic modifiers. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 22% |
Student > Master | 5 | 16% |
Student > Bachelor | 4 | 13% |
Researcher | 3 | 9% |
Professor | 2 | 6% |
Other | 4 | 13% |
Unknown | 7 | 22% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 11 | 34% |
Medicine and Dentistry | 6 | 19% |
Agricultural and Biological Sciences | 5 | 16% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Computer Science | 1 | 3% |
Other | 1 | 3% |
Unknown | 7 | 22% |