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Genetic testing in familial isolated hyperparathyroidism: unexpected results and their implications

Overview of attention for article published in Journal of Medical Genetics, March 2004
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Title
Genetic testing in familial isolated hyperparathyroidism: unexpected results and their implications
Published in
Journal of Medical Genetics, March 2004
DOI 10.1136/jmg.2003.016725
Pubmed ID
Authors

J Warner, M Epstein, A Sweet, D Singh, J Burgess, S Stranks, P Hill, D Perry-Keene, D Learoyd, B Robinson, P Birdsey, E Mackenzie, B T Teh, J B Prins, J Cardinal

Abstract

Familial hyperparathyroidism is not uncommon in clinical endocrine practice. It encompasses a spectrum of disorders including multiple endocrine neoplasia types 1 (MEN1) and 2A, hyperparathyroidism-jaw tumour syndrome (HPT-JT), familial hypocalciuric hypercalcaemia (FHH), and familial isolated hyperparathyroidism (FIHP). Distinguishing among the five syndromes is often difficult but has profound implications for the management of patient and family. The availability of specific genetic testing for four of the syndromes has improved diagnostic accuracy and simplified family monitoring in many cases but its current cost and limited accessibility require rationalisation of its use. No gene has yet been associated exclusively with FIHP. FIHP phenotypes have been associated with mutant MEN1 and calcium-sensing receptor (CASR) genotypes and, very recently, with mutation in the newly identified HRPT2 gene. The relative proportions of these are not yet clear. We report results of MEN1, CASR, and HRPT2 genotyping of 22 unrelated subjects with FIHP phenotypes. We found 5 (23%) with MEN1 mutations, four (18%) with CASR mutations, and none with an HRPT2 mutation. All those with mutations had multiglandular hyperparathyroidism. Of the subjects with CASR mutations, none were of the typical FHH phenotype. These findings strongly favour a recommendation for MEN1 and CASR genotyping of patients with multiglandular FIHP, irrespective of urinary calcium excretion. However, it appears that HRPT2 genotyping should be reserved for cases in which other features of the HPT-JT phenotype have occurred in the kindred. Also apparent is the need for further investigation to identify additional genes associated with FIHP.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Brazil 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 23%
Professor > Associate Professor 8 13%
Other 7 11%
Researcher 6 9%
Student > Ph. D. Student 6 9%
Other 15 23%
Unknown 7 11%
Readers by discipline Count As %
Medicine and Dentistry 20 31%
Agricultural and Biological Sciences 20 31%
Biochemistry, Genetics and Molecular Biology 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Nursing and Health Professions 1 2%
Other 5 8%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2018.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Journal of Medical Genetics
#1,627
of 3,123 outputs
Outputs of similar age
#22,400
of 63,045 outputs
Outputs of similar age from Journal of Medical Genetics
#15
of 40 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,123 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 63,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.