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Genome-wide DNA methylation analysis of pseudohypoparathyroidism patients with GNAS imprinting defects

Overview of attention for article published in Clinical Epigenetics, January 2016
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Title
Genome-wide DNA methylation analysis of pseudohypoparathyroidism patients with GNAS imprinting defects
Published in
Clinical Epigenetics, January 2016
DOI 10.1186/s13148-016-0175-8
Pubmed ID
Authors

Anne Rochtus, Alejandro Martin-Trujillo, Benedetta Izzi, Francesca Elli, Intza Garin, Agnes Linglart, Giovanna Mantovani, Guiomar Perez de Nanclares, Suzanne Thiele, Brigitte Decallonne, Chris Van Geet, David Monk, Kathleen Freson

Abstract

Pseudohypoparathyroidism (PHP) is caused by (epi)genetic defects in the imprinted GNAS cluster. Current classification of PHP patients is hampered by clinical and molecular diagnostic overlaps. The European Consortium for the study of PHP designed a genome-wide methylation study to improve molecular diagnosis. The HumanMethylation 450K BeadChip was used to analyze genome-wide methylation in 24 PHP patients with parathyroid hormone resistance and 20 age- and gender-matched controls. Patients were previously diagnosed with GNAS-specific differentially methylated regions (DMRs) and include 6 patients with known STX16 deletion (PHP(Δstx16)) and 18 without deletion (PHP(neg)). The array demonstrated that PHP patients do not show DNA methylation differences at the whole-genome level. Unsupervised clustering of GNAS-specific DMRs divides PHP(Δstx16) versus PHP(neg) patients. Interestingly, in contrast to the notion that all PHP patients share methylation defects in the A/B DMR while only PHP(Δstx16) patients have normal NESP, GNAS-AS1 and XL methylation, we found a novel DMR (named GNAS-AS2) in the GNAS-AS1 region that is significantly different in both PHP(Δstx16) and PHP(neg), as validated by Sequenom EpiTYPER in a larger PHP cohort. The analysis of 58 DMRs revealed that 8/18 PHP(neg) and 1/6 PHP(Δstx16) patients have multi-locus methylation defects. Validation was performed for FANCC and SVOPL DMRs. This is the first genome-wide methylation study for PHP patients that confirmed that GNAS is the most significant DMR, and the presence of STX16 deletion divides PHP patients in two groups. Moreover, a novel GNAS-AS2 DMR affects all PHP patients, and PHP patients seem sensitive to multi-locus methylation defects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Researcher 7 17%
Student > Ph. D. Student 7 17%
Student > Bachelor 4 10%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 12 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 6 14%
Nursing and Health Professions 1 2%
Psychology 1 2%
Other 4 10%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 June 2016.
All research outputs
#7,047,742
of 25,374,647 outputs
Outputs from Clinical Epigenetics
#491
of 1,436 outputs
Outputs of similar age
#105,599
of 405,868 outputs
Outputs of similar age from Clinical Epigenetics
#22
of 35 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,436 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 405,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.