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Follow-up of potential novel Graves' disease susceptibility loci, identified in the UK WTCCC genome-wide nonsynonymous SNP study

Overview of attention for article published in European Journal of Human Genetics, May 2010
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Title
Follow-up of potential novel Graves' disease susceptibility loci, identified in the UK WTCCC genome-wide nonsynonymous SNP study
Published in
European Journal of Human Genetics, May 2010
DOI 10.1038/ejhg.2010.55
Pubmed ID
Authors

Paul R Newby, Oliver J Pickles, Samaresh Mazumdar, Oliver J Brand, Jaqueline D Carr-Smith, Simon H S Pearce, Jayne A Franklyn, David M Evans, Matthew J Simmonds, Stephen C L Gough

Abstract

A recent association scan using a genome-wide set of nonsynonymous coding single-nucleotide polymorphisms (nsSNPs) conducted in four diseases including Graves' disease (GD), identified nine novel possible regions of association with GD. We used a case-control approach in an attempt to replicate association of these nine regions in an independent collection of 1578 British GD patients and 1946 matched Caucasian controls. Although none of these loci showed evidence of association with GD in the independent data set, when combined with the original Wellcome Trust Case-Control Consortium study group, minor differences in allele frequencies (P>or=10(-3)) remained in the combined collection of 5924 subjects for four of the nsSNPs, present within HDLBP, TEKT1, JSRP1 and UTX. An additional 29 Tag SNPs were screened within these four gene regions to determine if further associations could be detected. Similarly, minor differences only (P=0.042-0.002) were detected in two HDLBP and two TEKT1 Tag SNPs in the combined UK GD collection. In conclusion, it is unlikely that the SNPs selected in this replication study have a significant effect on the risk of GD in the United Kingdom. Our study confirms the need for large data sets and stringent analysis criteria when searching for susceptibility loci in common diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 8%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Other 8 32%
Researcher 5 20%
Professor 4 16%
Student > Master 4 16%
Student > Ph. D. Student 2 8%
Other 0 0%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 56%
Medicine and Dentistry 4 16%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 2 8%
Chemistry 1 4%
Other 0 0%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2018.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from European Journal of Human Genetics
#1,768
of 3,432 outputs
Outputs of similar age
#34,347
of 95,113 outputs
Outputs of similar age from European Journal of Human Genetics
#6
of 23 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,432 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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