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Deep sequencing of the MHC region in the Chinese population contributes to studies of complex disease

Overview of attention for article published in Nature Genetics, May 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
29 X users
patent
1 patent

Citations

dimensions_citation
179 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
5 CiteULike
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Title
Deep sequencing of the MHC region in the Chinese population contributes to studies of complex disease
Published in
Nature Genetics, May 2016
DOI 10.1038/ng.3576
Pubmed ID
Authors

Fusheng Zhou, Hongzhi Cao, Xianbo Zuo, Tao Zhang, Xiaoguang Zhang, Xiaomin Liu, Ricong Xu, Gang Chen, Yuanwei Zhang, Xiaodong Zheng, Xin Jin, Jinping Gao, Junpu Mei, Yujun Sheng, Qibin Li, Bo Liang, Juan Shen, Changbing Shen, Hui Jiang, Caihong Zhu, Xing Fan, Fengping Xu, Min Yue, Xianyong Yin, Chen Ye, Cuicui Zhang, Xiao Liu, Liang Yu, Jinghua Wu, Mengyun Chen, Xuehan Zhuang, Lili Tang, Haojing Shao, Longmao Wu, Jian Li, Yu Xu, Yijie Zhang, Suli Zhao, Yu Wang, Ge Li, Hanshi Xu, Lei Zeng, Jianan Wang, Mingzhou Bai, Yanling Chen, Wei Chen, Tian Kang, Yanyan Wu, Xun Xu, Zhengwei Zhu, Yong Cui, Zaixing Wang, Chunjun Yang, Peiguang Wang, Leihong Xiang, Xiang Chen, Anping Zhang, Xinghua Gao, Furen Zhang, Jinhua Xu, Min Zheng, Jie Zheng, Jianzhong Zhang, Xueqing Yu, Yingrui Li, Sen Yang, Huanming Yang, Jian Wang, Jianjun Liu, Lennart Hammarström, Liangdan Sun, Jun Wang, Xuejun Zhang

Abstract

The human major histocompatibility complex (MHC) region has been shown to be associated with numerous diseases. However, it remains a challenge to pinpoint the causal variants for these associations because of the extreme complexity of the region. We thus sequenced the entire 5-Mb MHC region in 20,635 individuals of Han Chinese ancestry (10,689 controls and 9,946 patients with psoriasis) and constructed a Han-MHC database that includes both variants and HLA gene typing results of high accuracy. We further identified multiple independent new susceptibility loci in HLA-C, HLA-B, HLA-DPB1 and BTNL2 and an intergenic variant, rs118179173, associated with psoriasis and confirmed the well-established risk allele HLA-C*06:02. We anticipate that our Han-MHC reference panel built by deep sequencing of a large number of samples will serve as a useful tool for investigating the role of the MHC region in a variety of diseases and thus advance understanding of the pathogenesis of these disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 1 <1%
Canada 1 <1%
Brazil 1 <1%
Thailand 1 <1%
China 1 <1%
Unknown 224 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 25%
Student > Ph. D. Student 40 17%
Student > Master 21 9%
Other 19 8%
Student > Doctoral Student 13 6%
Other 35 15%
Unknown 45 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 68 29%
Agricultural and Biological Sciences 50 22%
Medicine and Dentistry 23 10%
Immunology and Microbiology 14 6%
Computer Science 5 2%
Other 17 7%
Unknown 55 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 10 August 2023.
All research outputs
#1,054,581
of 25,196,456 outputs
Outputs from Nature Genetics
#1,787
of 7,547 outputs
Outputs of similar age
#19,306
of 341,393 outputs
Outputs of similar age from Nature Genetics
#36
of 63 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,547 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done well, scoring higher than 76% 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 341,393 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 94% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.