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Transethnic meta-analysis identifies GSDMA and PRDM1 as susceptibility genes to systemic sclerosis

Overview of attention for article published in Annals of the Rheumatic Diseases, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
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Title
Transethnic meta-analysis identifies GSDMA and PRDM1 as susceptibility genes to systemic sclerosis
Published in
Annals of the Rheumatic Diseases, March 2017
DOI 10.1136/annrheumdis-2016-210645
Pubmed ID
Authors

Chikashi Terao, Takahisa Kawaguchi, Philippe Dieude, John Varga, Masataka Kuwana, Marie Hudson, Yasushi Kawaguchi, Marco Matucci-Cerinic, Koichiro Ohmura, Gabriela Riemekasten, Aya Kawasaki, Paolo Airo, Tetsuya Horita, Akira Oka, Eric Hachulla, Hajime Yoshifuji, Paola Caramaschi, Nicolas Hunzelmann, Murray Baron, Tatsuya Atsumi, Paul Hassoun, Takeshi Torii, Meiko Takahashi, Yasuharu Tabara, Masakazu Shimizu, Akiko Tochimoto, Naho Ayuzawa, Hidetoshi Yanagida, Hiroshi Furukawa, Shigeto Tohma, Minoru Hasegawa, Manabu Fujimoto, Osamu Ishikawa, Toshiyuki Yamamoto, Daisuke Goto, Yoshihide Asano, Masatoshi Jinnin, Hirahito Endo, Hiroki Takahashi, Kazuhiko Takehara, Shinichi Sato, Hironobu Ihn, Soumya Raychaudhuri, Katherine Liao, Peter Gregersen, Naoyuki Tsuchiya, Valeria Riccieri, Inga Melchers, Gabriele Valentini, Anne Cauvet, Maria Martinez, Tsuneyo Mimori, Fumihiko Matsuda, Yannick Allanore

Abstract

Systemic sclerosis (SSc) is an autoimmune disease characterised by skin and systemic fibrosis culminating in organ damage. Previous genetic studies including genome-wide association studies (GWAS) have identified 12 susceptibility loci satisfying genome-wide significance. Transethnic meta-analyses have successfully expanded the list of susceptibility genes and deepened biological insights for other autoimmune diseases. We performed transethnic meta-analysis of GWAS in the Japanese and European populations, followed by a two-staged replication study comprising a total of 4436 cases and 14 751 controls. Associations between significant single nuclear polymorphisms (SNPs) and neighbouring genes were evaluated. Enrichment analysis of H3K4Me3, a representative histone mark for active promoter was conducted with an expanded list of SSc susceptibility genes. We identified two significant SNP in two loci, GSDMA and PRDM1, both of which are related to immune functions and associated with other autoimmune diseases (p=1.4×10(-10) and 6.6×10(-10), respectively). GSDMA also showed a significant association with limited cutaneous SSc. We also replicated the associations of previously reported loci including a non-GWAS locus, TNFAIP3. PRDM1 encodes BLIMP1, a transcription factor regulating T-cell proliferation and plasma cell differentiation. The top SNP in GSDMA was a missense variant and correlated with gene expression of neighbouring genes, and this could explain the association in this locus. We found different human leukocyte antigen (HLA) association patterns between the two populations. Enrichment analysis suggested the importance of CD4-naïve primary T cell. GSDMA and PRDM1 are associated with SSc. These findings provide enhanced insight into the genetic and biological basis of SSc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Student > Master 7 10%
Student > Doctoral Student 7 10%
Professor 6 9%
Student > Postgraduate 6 9%
Other 18 26%
Unknown 15 21%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Biochemistry, Genetics and Molecular Biology 16 23%
Agricultural and Biological Sciences 7 10%
Immunology and Microbiology 4 6%
Nursing and Health Professions 3 4%
Other 5 7%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 August 2017.
All research outputs
#3,076,810
of 23,867,274 outputs
Outputs from Annals of the Rheumatic Diseases
#1,851
of 7,495 outputs
Outputs of similar age
#60,943
of 337,004 outputs
Outputs of similar age from Annals of the Rheumatic Diseases
#28
of 54 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 75% 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 337,004 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 81% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.