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Attention Score in Context
| Title |
Genetic overlap between endometriosis and endometrial cancer: evidence from cross‐disease genetic correlation and GWAS meta‐analyses
|
|---|---|
| Published in |
Cancer Medicine, April 2018
|
| DOI | 10.1002/cam4.1445 |
| Pubmed ID | |
| Authors |
Jodie N. Painter, Tracy A. O'Mara, Andrew P. Morris, Timothy H. T. Cheng, Maggie Gorman, Lynn Martin, Shirley Hodson, Angela Jones, Nicholas G. Martin, Scott Gordon, Anjali K. Henders, John Attia, Mark McEvoy, Elizabeth G. Holliday, Rodney J. Scott, Penelope M. Webb, Peter A. Fasching, Matthias W. Beckmann, Arif B. Ekici, Alexander Hein, Matthias Rübner, Per Hall, Kamila Czene, Thilo Dörk, Matthias Dürst, Peter Hillemanns, Ingo Runnebaum, Diether Lambrechts, Frederic Amant, Daniela Annibali, Jeroen Depreeuw, Adriaan Vanderstichele, Ellen L. Goode, Julie M. Cunningham, Sean C. Dowdy, Stacey J. Winham, Jone Trovik, Erling Hoivik, Henrica M. J. Werner, Camilla Krakstad, Katie Ashton, Geoffrey Otton, Tony Proietto, Emma Tham, Miriam Mints, Shahana Ahmed, Catherine S. Healey, Mitul Shah, Paul D. P. Pharoah, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Kyriaki Michailidou, Qin Wang, Jonathan P. Tyrer, John L. Hopper, Julian Peto, Anthony J. Swerdlow, Barbara Burwinkel, Hermann Brenner, Alfons Meindl, Hiltrud Brauch, Annika Lindblom, Jenny Chang‐Claude, Fergus J. Couch, Graham G. Giles, Vessela N. Kristensen, Angela Cox, Krina T. Zondervan, Dale R. Nyholt, Stuart MacGregor, Grant W. Montgomery, Ian Tomlinson, Douglas F. Easton, Deborah J. Thompson, Amanda B. Spurdle |
| Abstract |
Epidemiological, biological, and molecular data suggest links between endometriosis and endometrial cancer, with recent epidemiological studies providing evidence for an association between a previous diagnosis of endometriosis and risk of endometrial cancer. We used genetic data as an alternative approach to investigate shared biological etiology of these two diseases. Genetic correlation analysis of summary level statistics from genomewide association studies (GWAS) using LD Score regression revealed moderate but significant genetic correlation (rg = 0.23, P = 9.3 × 10-3), and SNP effect concordance analysis provided evidence for significant SNP pleiotropy (P = 6.0 × 10-3) and concordance in effect direction (P = 2.0 × 10-3) between the two diseases. Cross-disease GWAS meta-analysis highlighted 13 distinct loci associated at P ≤ 10-5with both endometriosis and endometrial cancer, with one locus (SNP rs2475335) located within PTPRD associated at a genomewide significant level (P = 4.9 × 10-8, OR = 1.11, 95% CI = 1.07-1.15). PTPRD acts in the STAT3 pathway, which has been implicated in both endometriosis and endometrial cancer. This study demonstrates the value of cross-disease genetic analysis to support epidemiological observations and to identify biological pathways of relevance to multiple diseases. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 18% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Doctoral Student | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Student > Master | 7 | 8% |
| Other | 18 | 21% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 25% |
| Biochemistry, Genetics and Molecular Biology | 20 | 24% |
| Agricultural and Biological Sciences | 13 | 15% |
| Computer Science | 3 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 21 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 October 2020.
All research outputs
#1,872,756
of 25,382,440 outputs
Outputs from Cancer Medicine
#152
of 3,924 outputs
Outputs of similar age
#39,919
of 342,742 outputs
Outputs of similar age from Cancer Medicine
#8
of 114 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,924 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 96% 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 342,742 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.