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Unravelling the Roles of Susceptibility Loci for Autoimmune Diseases in the Post-GWAS Era

Overview of attention for article published in Genes, July 2018
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Title
Unravelling the Roles of Susceptibility Loci for Autoimmune Diseases in the Post-GWAS Era
Published in
Genes, July 2018
DOI 10.3390/genes9080377
Pubmed ID
Authors

Jody Ye, Kathleen Gillespie, Santiago Rodriguez

Abstract

Although genome-wide association studies (GWAS) have identified several hundred loci associated with autoimmune diseases, their mechanistic insights are still poorly understood. The human genome is more complex than single nucleotide polymorphisms (SNPs) that are interrogated by GWAS arrays. Apart from SNPs, it also comprises genetic variations such as insertions-deletions, copy number variations, and somatic mosaicism. Although previous studies suggest that common copy number variations do not play a major role in autoimmune disease risk, it is possible that certain rare genetic variations with large effect sizes are relevant to autoimmunity. In addition, other layers of regulations such as gene-gene interactions, epigenetic-determinants, gene and environmental interactions also contribute to the heritability of autoimmune diseases. This review focuses on discussing why studying these elements may allow us to gain a more comprehensive understanding of the aetiology of complex autoimmune traits.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Ph. D. Student 4 27%
Student > Bachelor 2 13%
Student > Master 1 7%
Lecturer > Senior Lecturer 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Agricultural and Biological Sciences 3 20%
Computer Science 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Immunology and Microbiology 1 7%
Other 0 0%
Unknown 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 July 2018.
All research outputs
#10,583,408
of 13,292,231 outputs
Outputs from Genes
#1,089
of 1,487 outputs
Outputs of similar age
#200,562
of 268,428 outputs
Outputs of similar age from Genes
#105
of 138 outputs
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