Association of circadian rhythm genes ARNTL/BMAL1 and CLOCK with multiple sclerosis
Polona Lavtar,
Gorazd Rudolf,
Aleš Maver,
Alenka Hodžić,
Nada Starčević Čizmarević,
Maja Živković,
Saša Šega Jazbec,
Zalika Klemenc Ketiš,
Miljenko Kapović,
Evica Dinčić,
Ranko Raičević,
Juraj Sepčić,
Luca Lovrečić,
Aleksandra Stanković,
Smiljana Ristić and
Borut Peterlin
PLOS ONE, 2018, vol. 13, issue 1, 1-7
Abstract:
Prevalence of multiple sclerosis varies with geographic latitude. We hypothesized that this fact might be partially associated with the influence of latitude on circadian rhythm and consequently that genetic variability of key circadian rhythm regulators, ARNTL and CLOCK genes, might contribute to the risk for multiple sclerosis. Our aim was to analyse selected polymorphisms of ARNTL and CLOCK, and their association with multiple sclerosis. A total of 900 Caucasian patients and 1024 healthy controls were compared for genetic signature at 8 SNPs, 4 for each of both genes. We found a statistically significant difference in genotype (ARNTL rs3789327, P = 7.5·10−5; CLOCK rs6811520 P = 0.02) distributions in patients and controls. The ARNTL rs3789327 CC genotype was associated with higher risk for multiple sclerosis at an OR of 1.67 (95% CI 1.35–2.07, P = 0.0001) and the CLOCK rs6811520 genotype CC at an OR of 1.40 (95% CI 1.13–1.73, P = 0.002). The results of this study suggest that genetic variability in the ARNTL and CLOCK genes might be associated with risk for multiple sclerosis.
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190601 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 90601&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0190601
DOI: 10.1371/journal.pone.0190601
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone (plosone@plos.org).