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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association meta-analysis identifies new endometriosis risk loci
|
|---|---|
| Published in |
Nature Genetics, October 2012
|
| DOI | 10.1038/ng.2445 |
| Pubmed ID | |
| Authors |
Dale R Nyholt, Siew-Kee Low, Carl A Anderson, Jodie N Painter, Satoko Uno, Andrew P Morris, Stuart MacGregor, Scott D Gordon, Anjali K Henders, Nicholas G Martin, John Attia, Elizabeth G Holliday, Mark McEvoy, Rodney J Scott, Stephen H Kennedy, Susan A Treloar, Stacey A Missmer, Sosuke Adachi, Kenichi Tanaka, Yusuke Nakamura, Krina T Zondervan, Hitoshi Zembutsu, Grant W Montgomery |
| Abstract |
We conducted a genome-wide association meta-analysis of 4,604 endometriosis cases and 9,393 controls of Japanese and European ancestry. We show that rs12700667 on chromosome 7p15.2, previously found to associate with disease in Europeans, replicates in Japanese (P = 3.6 × 10(-3)), and we confirm association of rs7521902 at 1p36.12 near WNT4. In addition, we establish an association of rs13394619 in GREB1 at 2p25.1 with endometriosis and identify a newly associated locus at 12q22 near VEZT (rs10859871). Excluding cases of European ancestry of minimal or unknown severity, we identified additional previously unknown loci at 2p14 (rs4141819), 6p22.3 (rs7739264) and 9p21.3 (rs1537377). All seven SNP effects were replicated in an independent cohort and associated at P <5 × 10(-8) in a combined analysis. Finally, we found a significant overlap in polygenic risk for endometriosis between the genome-wide association cohorts of European and Japanese descent (P = 8.8 × 10(-11)), indicating that many weakly associated SNPs represent true endometriosis risk loci and that risk prediction and future targeted disease therapy may be transferred across these populations. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 29% |
| United States | 2 | 29% |
| Peru | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Australia | 2 | <1% |
| Brazil | 1 | <1% |
| Malaysia | 1 | <1% |
| Singapore | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 220 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 17% |
| Student > Ph. D. Student | 36 | 16% |
| Student > Bachelor | 35 | 15% |
| Student > Master | 22 | 10% |
| Student > Doctoral Student | 14 | 6% |
| Other | 46 | 20% |
| Unknown | 36 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 26% |
| Biochemistry, Genetics and Molecular Biology | 50 | 22% |
| Agricultural and Biological Sciences | 38 | 17% |
| Engineering | 5 | 2% |
| Nursing and Health Professions | 5 | 2% |
| Other | 24 | 10% |
| Unknown | 47 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 January 2024.
All research outputs
#2,222,411
of 25,837,817 outputs
Outputs from Nature Genetics
#2,849
of 7,639 outputs
Outputs of similar age
#15,169
of 205,539 outputs
Outputs of similar age from Nature Genetics
#32
of 75 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 62% 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 205,539 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 92% of its contemporaries.
We're also able to compare this research output to 75 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 57% of its contemporaries.