Obesity and Multiple Sclerosis: A Mendelian Randomization Study

scientific article

Obesity and Multiple Sclerosis: A Mendelian Randomization Study is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1371/JOURNAL.PMED.1002053
P932PMC publication ID4924848
P698PubMed publication ID27351487

P50authorGeorge Davey SmithQ21003878
Nicholas J. TimpsonQ30348324
Stephen SawcerQ57362156
P2093author name stringJ Brent Richards
Lauren E Mokry
Stephanie Ross
P2860cites work‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*Q22066036
Body size and risk of MS in two cohorts of US womenQ22241653
Genetic studies of body mass index yield new insights for obesity biologyQ22305005
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosisQ24635370
PLINK: a tool set for whole-genome association and population-based linkage analysesQ24677407
Bias in meta-analysis detected by a simple, graphical testQ24685585
Meta-analysis in clinical trialsQ27860779
Multiple sclerosisQ28299151
Metabolic signatures of adiposity in young adults: Mendelian randomization analysis and effects of weight changeQ28542592
Vitamin D and Risk of Multiple Sclerosis: A Mendelian Randomization StudyQ28608447
Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohortsQ28709200
Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility lociQ29417047
Prevalence of childhood and adult obesity in the United States, 2011-2012Q29547370
Heart disease and stroke statistics--2012 update: a report from the American Heart AssociationQ29547909
Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010Q29555853
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMapQ29614907
Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013Q29616834
Mendelian randomization analysis with multiple genetic variants using summarized dataQ30675247
The relationship of body mass index to diabetes mellitus, hypertension and dyslipidaemia: comparison of data from two national surveysQ31112204
Obesity prevalence from a European perspective: a systematic reviewQ33340814
Leptin increase in multiple sclerosis associates with reduced number of CD4(+)CD25+ regulatory T cellsQ33935880
Using ancestry-informative markers to identify fine structure across 15 populations of European originQ34215665
Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individualsQ34221038
Impact of body mass index on coronary heart disease risk factors in men and women. The Framingham Offspring StudyQ50983321
Sex ratio of multiple sclerosis in Canada: a longitudinal studyQ51779582
Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluationQ51888144
Childhood adiposity, adult adiposity, and cardiovascular risk factors.Q53141828
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiologyQ57108274
Low-grade systemic inflammation in overweight childrenQ57829958
Increased leptin concentrations correlate with increased concentrations of inflammatory markers in morbidly obese individualsQ77463126
Serum adiponectin, TNF-α, IL-12p70, and IL-13 levels in multiple sclerosis and the effects of different therapy regimensQ84748311
Defining the role of common variation in the genomic and biological architecture of adult human heightQ34441746
The UK10K project identifies rare variants in health and diseaseQ34494047
Management of child and adolescent obesity: summary and recommendations based on reports from pediatricians, pediatric nurse practitioners, and registered dietitians.Q34717927
Adipocytokine profile, cytokine levels and foxp3 expression in multiple sclerosis: a possible link to susceptibility and clinical course of diseaseQ35009543
Childhood body mass index and multiple sclerosis risk: a long-term cohort studyQ35564192
The cost of multiple sclerosis drugs in the US and the pharmaceutical industry: Too big to fail?Q35671001
The epidemiology of multiple sclerosis in Europe.Q36533428
C-reactive protein levels and body mass index: elucidating direction of causation through reciprocal Mendelian randomizationQ36666879
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosisQ37322100
Clinical prognostic factors in multiple sclerosis: a natural history reviewQ37642594
The changing demographic pattern of multiple sclerosis epidemiologyQ37732614
Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic reviewQ37803115
The epidemiology of multiple sclerosis: insights to disease pathogenesisQ38186210
Severe disability in patients with relapsing-remitting multiple sclerosis is associated with profound changes in the regulation of leptin secretion.Q39354945
Adiponectin induces the anti-inflammatory cytokines IL-10 and IL-1RA in human leukocytesQ40515404
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median EstimatorQ40773355
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regressionQ40862437
High body mass index before age 20 is associated with increased risk for multiple sclerosis in both men and womenQ43865774
Effect of weight loss and lifestyle changes on vascular inflammatory markers in obese women: a randomized trialQ44396155
Association between adiponectin and mediators of inflammation in obese women.Q48007188
Prevalence of overweight and obesity in European children below the age of 10.Q49037811
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue6
P407language of work or nameEnglishQ1860
P921main subjectobesityQ12174
multiple sclerosisQ8277
P304page(s)e1002053
P577publication date2016-06-28
P1433published inPLOS MEDICINEQ1686921
P1476titleObesity and Multiple Sclerosis: A Mendelian Randomization Study
P478volume13

Reverse relations

cites work (P2860)
Q59329300Age at Menarche and Risk of Multiple Sclerosis: Current Progress From Epidemiological Investigations
Q57821114Altered tryptophan metabolism is associated with pediatric multiple sclerosis risk and course
Q90664457Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization
Q55129463Association of Pre-Disease Body Mass Index With Multiple Sclerosis Prognosis.
Q49567249Associations between attention-deficit/hyperactivity disorder and autoimmune diseases are modified by sex: a population-based cross-sectional study
Q39378263Autologous haematopoietic stem cell transplantation for treatment of multiple sclerosis
Q92641672BMI and low vitamin D are causal factors for multiple sclerosis: A Mendelian Randomization study
Q47229239Body size and physical exercise, and the risk of multiple sclerosis
Q64067914Causal Effects of Genetically Predicted Cardiovascular Risk Factors on Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study
Q97883665Causal Effects of Overall and Abdominal Obesity on Insulin Resistance and the Risk of Type 2 Diabetes Mellitus: A Two-Sample Mendelian Randomization Study
Q52726197Changes of Nicotinamide Phosphoribosyltransferase Expressions in Thyroid Glands of Patients with Different Thyroid Pathologies
Q42344508Determining Causation from Observational Studies: A Challenge for Modern Neuroepidemiology
Q91845328EHBP1 SNPs, Their Haplotypes, and Gene-Environment Interactive Effects on Serum Lipid Levels
Q92510767Effect of age at puberty on risk of multiple sclerosis: A mendelian randomization study
Q37729523Emerging Approaches for Validating and Managing Multiple Sclerosis Relapse
Q58556149Environmental Risk Factors for Multiple Sclerosis: A Case-control Study in Kerman, Iran
Q92492014Environmental and genetic risk factors for MS: an integrated review
Q34681254Evidence for a causal relationship between low vitamin D, high BMI, and pediatric-onset MS.
Q89069581Genetically driven adiposity traits increase the risk of coronary artery disease independent of blood pressure, dyslipidaemia, glycaemic traits
Q37712496Immunometabolic Regulation of Interleukin-17-Producing T Helper Cells: Uncoupling New Targets for Autoimmunity.
Q47408267Immunometabolic profiling of T cells from patients with relapsing-remitting multiple sclerosis reveals an impairment in glycolysis and mitochondrial respiration
Q60960051Impact of Metabolic Syndrome on Neuroinflammation and the Blood-Brain Barrier
Q30240138Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis
Q92596559Is Hyperuricemia, an Early-Onset Metabolic Disorder, Causally Associated with Cardiovascular Disease Events in Han Chinese?
Q50116929Mendelian randomization in multiple sclerosis: A causal role for vitamin D and obesity?
Q36343119MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
Q55561652Metabolic Dysfunction and Peroxisome Proliferator-Activated Receptors (PPAR) in Multiple Sclerosis.
Q46439239Metabolic pressure and the breach of immunological self-tolerance.
Q28078518Multiple Sclerosis and Obesity: Possible Roles of Adipokines
Q96304273Multiple Sclerosis: Lipids, Lymphocytes, and Vitamin D
Q64083185Nutrient Composition Comparison between a Modified Paleolithic Diet for Multiple Sclerosis and the Recommended Healthy U.S.-Style Eating Pattern
Q64099308Nutrient Composition Comparison between the Low Saturated Fat Swank Diet for Multiple Sclerosis and Healthy U.S.-Style Eating Pattern
Q89009825Obesity and Multiple Sclerosis Susceptibility: A Review
Q53495655Recent Advances in Human Genetics and Epigenetics of Adiposity: Pathway to Precision Medicine?
Q48047320The "Gut Feeling": Breaking Down the Role of Gut Microbiome in Multiple Sclerosis
Q91973567The FTO gene polymorphism rs9939609 is associated with obesity and disability in multiple sclerosis patients
Q90176770The Impact of Dietary Components on Regulatory T Cells and Disease
Q47138711The Socioeconomic Burden of Obesity
Q91386781The causal role of elevated uric acid and waist circumference on the risk of metabolic syndrome components
Q52660566The genetics of adiposity.
Q92106320Type 2 Diabetes: How Much of an Autoimmune Disease?
Q36063093Weighing Evidence from Mendelian Randomization-Early-Life Obesity as a Causal Factor in Multiple Sclerosis?
Q47639897Western lifestyle and immunopathology of multiple sclerosis
Q48188531Whither the genotype-phenotype relationship? An historical and methodological appraisal.
Q50317600Why monkeys do not get multiple sclerosis (spontaneously): An evolutionary approach.

Search more.