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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosis
|
|---|---|
| Published in |
Nature Communications, September 2017
|
| DOI | 10.1038/s41467-017-00471-1 |
| Pubmed ID | |
| Authors |
Beben Benyamin, Ji He, Qiongyi Zhao, Jacob Gratten, Fleur Garton, Paul J. Leo, Zhijun Liu, Marie Mangelsdorf, Ammar Al-Chalabi, Lisa Anderson, Timothy J. Butler, Lu Chen, Xiang-Ding Chen, Katie Cremin, Hong-Weng Deng, Matthew Devine, Janette Edson, Jennifer A. Fifita, Sarah Furlong, Ying-Ying Han, Jessica Harris, Anjali K. Henders, Rosalind L. Jeffree, Zi-Bing Jin, Zhongshan Li, Ting Li, Mengmeng Li, Yong Lin, Xiaolu Liu, Mhairi Marshall, Emily P. McCann, Bryan J. Mowry, Shyuan T. Ngo, Roger Pamphlett, Shu Ran, David C. Reutens, Dominic B. Rowe, Perminder Sachdev, Sonia Shah, Sharon Song, Li-Jun Tan, Lu Tang, Leonard H. van den Berg, Wouter van Rheenen, Jan H. Veldink, Robyn H. Wallace, Lawrie Wheeler, Kelly L. Williams, Jinyu Wu, Xin Wu, Jian Yang, Weihua Yue, Zong-Hong Zhang, Dai Zhang, Peter G. Noakes, Ian P. Blair, Robert D. Henderson, Pamela A. McCombe, Peter M. Visscher, Huji Xu, Perry F. Bartlett, Matthew A. Brown, Naomi R. Wray, Dongsheng Fan |
| Abstract |
Cross-ethnic genetic studies can leverage power from differences in disease epidemiology and population-specific genetic architecture. In particular, the differences in linkage disequilibrium and allele frequency patterns across ethnic groups may increase gene-mapping resolution. Here we use cross-ethnic genetic data in sporadic amyotrophic lateral sclerosis (ALS), an adult-onset, rapidly progressing neurodegenerative disease. We report analyses of novel genome-wide association study data of 1,234 ALS cases and 2,850 controls. We find a significant association of rs10463311 spanning GPX3-TNIP1 with ALS (p = 1.3 × 10(-8)), with replication support from two independent Australian samples (combined 576 cases and 683 controls, p = 1.7 × 10(-3)). Both GPX3 and TNIP1 interact with other known ALS genes (SOD1 and OPTN, respectively). In addition, GGNBP2 was identified using gene-based analysis and summary statistics-based Mendelian randomization analysis, although further replication is needed to confirm this result. Our results increase our understanding of genetic aetiology of ALS.Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease. Here, Wray and colleagues identify association of the GPX3-TNIP1 locus with ALS using cross-ethnic meta-analyses. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 4 | 18% |
| United States | 4 | 18% |
| Netherlands | 1 | 5% |
| United Kingdom | 1 | 5% |
| Sweden | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 68% |
| Scientists | 7 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 18% |
| Student > Master | 16 | 13% |
| Student > Bachelor | 14 | 12% |
| Student > Ph. D. Student | 11 | 9% |
| Professor | 10 | 8% |
| Other | 17 | 14% |
| Unknown | 29 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 24% |
| Medicine and Dentistry | 16 | 13% |
| Neuroscience | 15 | 13% |
| Agricultural and Biological Sciences | 13 | 11% |
| Nursing and Health Professions | 3 | 3% |
| Other | 11 | 9% |
| Unknown | 33 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 15 January 2018.
All research outputs
#979,897
of 25,161,628 outputs
Outputs from Nature Communications
#15,911
of 55,576 outputs
Outputs of similar age
#19,908
of 323,953 outputs
Outputs of similar age from Nature Communications
#380
of 1,086 outputs
Altmetric has tracked 25,161,628 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 55,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has gotten more attention than average, scoring higher than 71% 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 323,953 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 93% of its contemporaries.
We're also able to compare this research output to 1,086 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 65% of its contemporaries.