| Title |
A possible genetic association with chronic fatigue in primary Sjögren’s syndrome: a candidate gene study
|
|---|---|
| Published in |
Rheumatology International, September 2013
|
| DOI | 10.1007/s00296-013-2850-9 |
| Pubmed ID | |
| Authors |
Katrine Brække Norheim, Stephanie Le Hellard, Gunnel Nordmark, Erna Harboe, Lasse Gøransson, Johan G. Brun, Marie Wahren-Herlenius, Roland Jonsson, Roald Omdal |
| Abstract |
Fatigue is prevalent and disabling in primary Sjögren's syndrome (pSS). Results from studies in chronic fatigue syndrome (CFS) indicate that genetic variation may influence fatigue. The aim of this study was to investigate single nucleotide polymorphism (SNP) variations in pSS patients with high and low fatigue. A panel of 85 SNPs in 12 genes was selected based on previous studies in CFS. A total of 207 pSS patients and 376 healthy controls were genotyped. One-hundred and ninety-three patients and 70 SNPs in 11 genes were available for analysis after quality control. Patients were dichotomized based on fatigue visual analogue scale (VAS) scores, with VAS <50 denominated "low fatigue" (n = 53) and VAS ≥50 denominated "high fatigue" (n = 140). We detected signals of association with pSS for one SNP in SLC25A40 (unadjusted p = 0.007) and two SNPs in PKN1 (both p = 0.03) in our pSS case versus control analysis. The association with SLC25A40 was stronger when only pSS high fatigue patients were analysed versus controls (p = 0.002). One SNP in PKN1 displayed an association in the case-only analysis of pSS high fatigue versus pSS low fatigue (p = 0.005). This candidate gene study in pSS did reveal a trend for associations between genetic variation in candidate genes and fatigue. The results will need to be replicated. More research on genetic associations with fatigue is warranted, and future trials should include larger cohorts and multicentre collaborations with sharing of genetic material to increase the statistical power. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 21% |
| United Kingdom | 3 | 21% |
| Belgium | 1 | 7% |
| Australia | 1 | 7% |
| Canada | 1 | 7% |
| France | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 20% |
| Agricultural and Biological Sciences | 7 | 18% |
| Immunology and Microbiology | 3 | 8% |
| Nursing and Health Professions | 3 | 8% |
| Neuroscience | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 18 October 2014.
All research outputs
#3,252,043
of 22,719,618 outputs
Outputs from Rheumatology International
#266
of 2,174 outputs
Outputs of similar age
#29,668
of 196,897 outputs
Outputs of similar age from Rheumatology International
#3
of 17 outputs
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