Abstract:
BACKGROUND/OBJECTIVE:Restless legs syndrome (RLS) is a neurological disorder with a strong genetic susceptibility. A painful RLS sub-phenotype has been described previously but the neurobiological basis for this phenotypic variant remains unknown. This study investigated whether any of the six initially discovered genomic loci associating with RLS (BTBD9, MEIS1, PTPRD, MAP2K5/SKOR1, TOX3, and an intergenic region on chromosome 2), were more strongly associated with complaints of painful versus non-painful RLS. METHODS:RLS patients (N = 199; Age = 53.1 ± 16.8; 100% Caucasians; 57% women) diagnosed clinically were genotyped for known variants associating with RLS. Definition of painful RLS required that subjects selected "painful" from a list of 14 adjectives to describe their RLS sensory experience and answered positively to a separate question that queried specifically as to whether they perceived their RLS sensations as painful. Genotype association tests employed logistic regression analyses with assumption of an additive genetic model. Analyses were performed using PLINK software v1.07. RESULTS:We identified two RLS patient subgroups: a painful (n = 41) and non-painful (n = 158). Among 10 tested SNPs, only rs3104767 (related to the TOX3 gene locus) was more associated with painful RLS. The minor allele T of SNP rs3104767 was associated with an increased risk of RLS being perceived as painful with an OR of 1.67 [CI = (1.01-2.74); p = 0.049]. Notably, this minor T allele associated with pain sensation in RLS patients in this study was the non-risk allele for RLS in the original RLS genome wide association study, but a similar trend was observed in a recent Parkinson disease sample study. CONCLUSION:This study might suggest the TOX3 gene variant as a potential genetic substrate for the painful RLS sub-phenotype. This was an exploratory small study and correction for multiple comparisons would have rendered the results not significant. Therefore, the above findings require replication in larger clinical as well as population-based samples of RLS subjects.
journal_name
Sleep Medjournal_title
Sleep medicineauthors
Karroum EG,Saini PS,Trotti LM,Rye DBdoi
10.1016/j.sleep.2019.07.003subject
Has Abstractpub_date
2020-01-01 00:00:00pages
4-7eissn
1389-9457issn
1878-5506pii
S1389-9457(19)30240-0journal_volume
65pub_type
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