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Genetic overlap between multiple sclerosis and several cardiovascular disease risk factors.


ABSTRACT: BACKGROUND:Epidemiological findings suggest a relationship between multiple sclerosis (MS) and cardiovascular disease (CVD) risk factors, although the nature of this relationship is not well understood. OBJECTIVE:We used genome-wide association study (GWAS) data to identify shared genetic factors (pleiotropy) between MS and CVD risk factors. METHODS:Using summary statistics from a large, recent GWAS (total n?>?250,000 individuals), we investigated overlap in single nucleotide polymorphisms (SNPs) associated with MS and a number of CVD risk factors including triglycerides (TG), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, body mass index, waist-to-hip ratio, type 2 diabetes, systolic blood pressure, and C-reactive protein level. RESULTS AND CONCLUSION:Using conditional enrichment plots, we found 30-fold enrichment of MS SNPs for different levels of association with LDL and TG SNPs, with a corresponding reduction in conditional false discovery rate (FDR). We identified 133 pleiotropic loci outside the extended major histocompatibility complex with conditional FDR?

SUBMITTER: Wang Y 

PROVIDER: S-EPMC5001937 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Genetic overlap between multiple sclerosis and several cardiovascular disease risk factors.

Wang Yunpeng Y   Bos Steffan D SD   Harbo Hanne F HF   Thompson Wesley K WK   Schork Andrew J AJ   Bettella Francesco F   Witoelar Aree A   Lie Benedicte A BA   Li Wen W   McEvoy Linda K LK   Djurovic Srdjan S   Desikan Rahul S RS   Dale Anders M AM   Andreassen Ole A OA  

Multiple sclerosis (Houndmills, Basingstoke, England) 20160226 14


<h4>Background</h4>Epidemiological findings suggest a relationship between multiple sclerosis (MS) and cardiovascular disease (CVD) risk factors, although the nature of this relationship is not well understood.<h4>Objective</h4>We used genome-wide association study (GWAS) data to identify shared genetic factors (pleiotropy) between MS and CVD risk factors.<h4>Methods</h4>Using summary statistics from a large, recent GWAS (total n > 250,000 individuals), we investigated overlap in single nucleoti  ...[more]

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