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A large-scale screen for coding variants predisposing to psoriasis

Overview of attention for article published in Nature Genetics, November 2013
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
twitter
24 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
44 Mendeley
Title
A large-scale screen for coding variants predisposing to psoriasis
Published in
Nature Genetics, November 2013
DOI 10.1038/ng.2827
Pubmed ID
Authors

Huayang Tang, Xin Jin, Yang Li, Hui Jiang, Xianfa Tang, Xu Yang, Hui Cheng, Ying Qiu, Gang Chen, Junpu Mei, Fusheng Zhou, Renhua Wu, Xianbo Zuo, Yong Zhang, Xiaodong Zheng, Qi Cai, Xianyong Yin, Cheng Quan, Haojing Shao, Yong Cui, Fangzhen Tian, Xia Zhao, Hong Liu, Fengli Xiao, Fengping Xu, Jianwen Han, Dongmei Shi, Anping Zhang, Cheng Zhou, Qibin Li, Xing Fan, Liya Lin, Hongqing Tian, Zaixing Wang, Huiling Fu, Fang Wang, Baoqi Yang, Shaowei Huang, Bo Liang, Xuefeng Xie, Yunqing Ren, Qingquan Gu, Guangdong Wen, Yulin Sun, Xueli Wu, Lin Dang, Min Xia, Junjun Shan, Tianhang Li, Lin Yang, Xiuyun Zhang, Yuzhen Li, Chundi He, Aie Xu, Liping Wei, Xiaohang Zhao, Xinghua Gao, Jinhua Xu, Furen Zhang, Jianzhong Zhang, Yingrui Li, Liangdan Sun, Jianjun Liu, Runsheng Chen, Sen Yang, Jun Wang, Xuejun Zhang

Abstract

To explore the contribution of functional coding variants to psoriasis, we analyzed nonsynonymous single-nucleotide variants (SNVs) across the genome by exome sequencing in 781 psoriasis cases and 676 controls and through follow-up validation in 1,326 candidate genes by targeted sequencing in 9,946 psoriasis cases and 9,906 controls from the Chinese population. We discovered two independent missense SNVs in IL23R and GJB2 of low frequency and five common missense SNVs in LCE3D, ERAP1, CARD14 and ZNF816A associated with psoriasis at genome-wide significance. Rare missense SNVs in FUT2 and TARBP1 were also observed with suggestive evidence of association. Single-variant and gene-based association analyses of nonsynonymous SNVs did not identify newly associated genes for psoriasis in the regions subjected to targeted resequencing. This suggests that coding variants in the 1,326 targeted genes contribute only a limited fraction of the overall genetic risk for psoriasis.

Twitter Demographics

The data shown below were collected from the profiles of 24 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 27%
Researcher 10 23%
Student > Ph. D. Student 7 16%
Other 3 7%
Student > Bachelor 3 7%
Other 9 20%
Readers by discipline Count As %
Unspecified 15 34%
Agricultural and Biological Sciences 11 25%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 6 14%
Physics and Astronomy 1 2%
Other 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 30 October 2016.
All research outputs
#188,380
of 11,563,963 outputs
Outputs from Nature Genetics
#591
of 5,855 outputs
Outputs of similar age
#2,863
of 157,271 outputs
Outputs of similar age from Nature Genetics
#13
of 65 outputs
Altmetric has tracked 11,563,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done well, scoring higher than 89% 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 157,271 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 98% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.