↓ Skip to main content

Mosaic PPM1D mutations are associated with predisposition to breast and ovarian cancer

Overview of attention for article published in Nature, December 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

news
3 news outlets
twitter
28 X users
patent
3 patents
peer_reviews
1 peer review site
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
218 Dimensions

Readers on

mendeley
274 Mendeley
citeulike
9 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mosaic PPM1D mutations are associated with predisposition to breast and ovarian cancer
Published in
Nature, December 2012
DOI 10.1038/nature11725
Pubmed ID
Authors

Elise Ruark, Katie Snape, Peter Humburg, Chey Loveday, Ilirjana Bajrami, Rachel Brough, Daniel Nava Rodrigues, Anthony Renwick, Sheila Seal, Emma Ramsay, Silvana Del Vecchio Duarte, Manuel A. Rivas, Margaret Warren-Perry, Anna Zachariou, Adriana Campion-Flora, Sandra Hanks, Anne Murray, Naser Ansari Pour, Jenny Douglas, Lorna Gregory, Andrew Rimmer, Neil M. Walker, Tsun-Po Yang, Julian W. Adlard, Julian Barwell, Jonathan Berg, Angela F. Brady, Carole Brewer, Glen Brice, Cyril Chapman, Jackie Cook, Rosemarie Davidson, Alan Donaldson, Fiona Douglas, Diana Eccles, D. Gareth Evans, Lynn Greenhalgh, Alex Henderson, Louise Izatt, Ajith Kumar, Fiona Lalloo, Zosia Miedzybrodzka, Patrick J. Morrison, Joan Paterson, Mary Porteous, Mark T. Rogers, Susan Shanley, Lisa Walker, Martin Gore, Richard Houlston, Matthew A. Brown, Mark J. Caufield, Panagiotis Deloukas, Mark I. McCarthy, John A. Todd, Clare Turnbull, Jorge S. Reis-Filho, Alan Ashworth, Antonis C. Antoniou, Christopher J. Lord, Peter Donnelly, Nazneen Rahman

Abstract

Improved sequencing technologies offer unprecedented opportunities for investigating the role of rare genetic variation in common disease. However, there are considerable challenges with respect to study design, data analysis and replication. Using pooled next-generation sequencing of 507 genes implicated in the repair of DNA in 1,150 samples, an analytical strategy focused on protein-truncating variants (PTVs) and a large-scale sequencing case-control replication experiment in 13,642 individuals, here we show that rare PTVs in the p53-inducible protein phosphatase PPM1D are associated with predisposition to breast cancer and ovarian cancer. PPM1D PTV mutations were present in 25 out of 7,781 cases versus 1 out of 5,861 controls (P = 1.12 × 10(-5)), including 18 mutations in 6,912 individuals with breast cancer (P = 2.42 × 10(-4)) and 12 mutations in 1,121 individuals with ovarian cancer (P = 3.10 × 10(-9)). Notably, all of the identified PPM1D PTVs were mosaic in lymphocyte DNA and clustered within a 370-base-pair region in the final exon of the gene, carboxy-terminal to the phosphatase catalytic domain. Functional studies demonstrate that the mutations result in enhanced suppression of p53 in response to ionizing radiation exposure, suggesting that the mutant alleles encode hyperactive PPM1D isoforms. Thus, although the mutations cause premature protein truncation, they do not result in the simple loss-of-function effect typically associated with this class of variant, but instead probably have a gain-of-function effect. Our results have implications for the detection and management of breast and ovarian cancer risk. More generally, these data provide new insights into the role of rare and of mosaic genetic variants in common conditions, and the use of sequencing in their identification.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
United States 3 1%
Sweden 1 <1%
Finland 1 <1%
Ghana 1 <1%
Canada 1 <1%
Italy 1 <1%
Greece 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 261 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 26%
Student > Ph. D. Student 57 21%
Student > Master 22 8%
Other 21 8%
Student > Doctoral Student 16 6%
Other 50 18%
Unknown 36 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 31%
Biochemistry, Genetics and Molecular Biology 66 24%
Medicine and Dentistry 55 20%
Computer Science 2 <1%
Engineering 2 <1%
Other 21 8%
Unknown 44 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 19 April 2022.
All research outputs
#797,029
of 25,775,807 outputs
Outputs from Nature
#28,731
of 98,706 outputs
Outputs of similar age
#5,811
of 289,271 outputs
Outputs of similar age from Nature
#356
of 958 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has gotten more attention than average, scoring higher than 70% 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 289,271 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 958 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.