András Szentkirályi1, Henry Völzke2,3, Wolfgang Hoffmann2,4, Julianne Winkelmann5,6,7,8, Klaus Berger1. 1. Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany. 2. Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. 3. German Centre for Cardiovascular Research, Partner site Greifswald, Germany. 4. German Centre for Neurodegenerative Diseases (DZNE), Germany. 5. Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany. 6. Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. 7. Department of Neurology, Technische Universität München, Munich, Germany. 8. Department of Neurology and Neurosciences, Stanford Center for Sleep Medicine and Sciences, Stanford University, Palo Alto, CA.
Abstract
STUDY OBJECTIVES: Multimorbidity is a risk factor for incident restless legs syndrome (RLS). In this relationship, the potential role of known genetic risk loci for RLS has not been studied. Our aim was to evaluate whether carriers of specific RLS risk alleles have higher comorbidity burden than noncarriers. METHODS: The Dortmund Health Study (DHS) and the Study of Health in Pomerania (SHIP) are two independent cohort studies in Germany based on age-stratified, random samples drawn from the respective population registers. DHS included 1,312 subjects and SHIP included 4,308 subjects. RLS status was assessed according to the RLS standard minimal criteria. A comorbidity index was calculated by summing the scores of the following conditions: diabetes, hypertension, myocardial infarction, obesity, stroke, cancer, renal disease, anemia, depression, thyroid disease, and migraine. Thirteen single nucleotide polymorphisms (SNP) previously associated with elevated risk of RLS were genotyped. Analyses were carried out on the pooled sample of the two studies. RESULTS: The mean age was 50.4 ± 15.9 y, and the proportion of women was 51.4%. The mean number of comorbid conditions was 1.5 ± 1.3. In multivariable regression, the mean number of comorbidities was not significantly different between carriers of any of the RLS risk alleles and noncarriers either in the total pooled sample or in those having RLS symptoms. CONCLUSIONS: Based on these results it is unlikely that known genetic risk factors for RLS would lead to increased multimorbidity.
STUDY OBJECTIVES: Multimorbidity is a risk factor for incident restless legs syndrome (RLS). In this relationship, the potential role of known genetic risk loci for RLS has not been studied. Our aim was to evaluate whether carriers of specific RLS risk alleles have higher comorbidity burden than noncarriers. METHODS: The Dortmund Health Study (DHS) and the Study of Health in Pomerania (SHIP) are two independent cohort studies in Germany based on age-stratified, random samples drawn from the respective population registers. DHS included 1,312 subjects and SHIP included 4,308 subjects. RLS status was assessed according to the RLS standard minimal criteria. A comorbidity index was calculated by summing the scores of the following conditions: diabetes, hypertension, myocardial infarction, obesity, stroke, cancer, renal disease, anemia, depression, thyroid disease, and migraine. Thirteen single nucleotide polymorphisms (SNP) previously associated with elevated risk of RLS were genotyped. Analyses were carried out on the pooled sample of the two studies. RESULTS: The mean age was 50.4 ± 15.9 y, and the proportion of women was 51.4%. The mean number of comorbid conditions was 1.5 ± 1.3. In multivariable regression, the mean number of comorbidities was not significantly different between carriers of any of the RLS risk alleles and noncarriers either in the total pooled sample or in those having RLS symptoms. CONCLUSIONS: Based on these results it is unlikely that known genetic risk factors for RLS would lead to increased multimorbidity.
Authors: Yanping Li; Arthur S Walters; Stephanie E Chiuve; Eric B Rimm; John W Winkelman; Xiang Gao Journal: Circulation Date: 2012-09-11 Impact factor: 29.690
Authors: Andras Szentkiralyi; Henry Völzke; Wolfgang Hoffmann; Bernhard T Baune; Klaus Berger Journal: Psychosom Med Date: 2013-04-10 Impact factor: 4.312
Authors: Mathias Rask-Andersen; Josefin A Jacobsson; George Moschonis; Anna E Ek; George P Chrousos; Claude Marcus; Yannis Manios; Robert Fredriksson; Helgi B Schiöth Journal: BMC Med Genet Date: 2012-05-17 Impact factor: 2.103