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Large intragenic deletion of CDC73 (exons 4–10) in a three-generation hyperparathyroidism-jaw tumor (HPT-JT) syndrome family

Overview of attention for article published in BMC Medical Genomics, August 2017
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Title
Large intragenic deletion of CDC73 (exons 4–10) in a three-generation hyperparathyroidism-jaw tumor (HPT-JT) syndrome family
Published in
BMC Medical Genomics, August 2017
DOI 10.1186/s12881-017-0445-0
Pubmed ID
Authors

Vito Guarnieri, Raewyn M. Seaberg, Catherine Kelly, M. Jean Davidson, Simon Raphael, Andrew Y. Shuen, Filomena Baorda, Orazio Palumbo, Alfredo Scillitani, Geoffrey N. Hendy, David E. C. Cole

Abstract

Inactivating mutations of CDC73 cause Hyperparathyroidism-Jaw Tumour syndrome (HPT-JT), Familial Isolated Hyperparathyroidism (FIHP) and sporadic parathyroid carcinoma. We conducted CDC73 mutation analysis in an HPT-JT family and confirm carrier status of the proband's daughter. The proband had primary hyperparathyroidism (parathyroid carcinoma) and uterine leiomyomata. Her father and daughter had hyperparathyroidism (parathyroid adenoma) but no other manifestations of HPT-JT. CDC73 mutation analysis (sequencing of all 17 exons) and whole-genome copy number variation (CNV) analysis was done on leukocyte DNA of the three affecteds as well as the proband's unaffected sister. A novel deletion of exons 4 to 10 of CDC73 was detected by CNV analysis in the three affecteds. A novel insertion in the 5'UTR (c.-4_-11insG) that co-segregated with the deletion was identified. By in vitro assay the 5'UTR insertion was shown to significantly impair the expression of the parafibromin protein. Screening for the mutated CDC73 confirmed carrier status in the proband's daughter and the biochemistry and ultrasonography led to pre-emptive surgery and resolution of the hyperparathyroidism. A novel gross deletion mutation in CDC73 was identified in a three-generation HPT-JT family emphasizing the importance of including screening for large deletions in the molecular diagnostic protocol.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 5 17%
Researcher 4 14%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 2 7%
Other 6 21%
Unknown 7 24%
Readers by discipline Count As %
Medicine and Dentistry 12 41%
Biochemistry, Genetics and Molecular Biology 3 10%
Nursing and Health Professions 2 7%
Economics, Econometrics and Finance 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 7%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#253,170
of 327,246 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 35 outputs
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