Causal effects of blood lipids on amyotrophic lateral sclerosis: a Mendelian randomization study
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[1] R. Krauss,et al. Relationship of dietary fat, protein, cholesterol, and fiber intake to atherogenic lipoproteins in men. , 1986, The American journal of clinical nutrition.
[2] Helen E. Parkinson,et al. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog) , 2016, Nucleic Acids Res..
[3] Stephen Burgess,et al. Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants , 2016, Epidemiology.
[4] Kwang-Woo Lee,et al. Amyotrophic Lateral Sclerosis Is Associated with Hypolipidemia at the Presymptomatic Stage in Mice , 2011, PloS one.
[5] Stephen G. Donald,et al. Testing Identifiability and Specification in Instrumental Variable Models , 1993, Econometric Theory.
[6] Gary K. Chen,et al. Meta-analysis identifies common variants associated with body mass index in East Asians , 2012, Nature Genetics.
[7] Dylan L. Steen,et al. A review of low-density lipoprotein cholesterol, treatment strategies, and its impact on cardiovascular disease morbidity and mortality. , 2016, Journal of clinical lipidology.
[8] M. Nalls,et al. Estimating the causal influence of body mass index on risk of Parkinson disease: A Mendelian randomisation study , 2017, PLoS medicine.
[9] Annelot M. Dekker,et al. Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis , 2017 .
[10] Tanya M. Teslovich,et al. Discovery and refinement of loci associated with lipid levels , 2013, Nature Genetics.
[11] S. Paganoni,et al. Body mass index, not dyslipidemia, is an independent predictor of survival in amyotrophic lateral sclerosis , 2011, Muscle & nerve.
[12] Jin Ok Yang,et al. Mapping Human Genetic Diversity in Asia , 2009, Science.
[13] L. Smeeth,et al. Limits to causal inference based on Mendelian randomization: a comparison with randomized controlled trials. , 2006, American journal of epidemiology.
[14] Tanya M. Teslovich,et al. Common variants associated with plasma triglycerides and risk for coronary artery disease , 2013, Nature Genetics.
[15] A. Chiò,et al. Projected increase in amyotrophic lateral sclerosis from 2015 to 2040 , 2016, Nature Communications.
[16] Kwang-Woo Lee,et al. Hypolipidemia in Patients with Amyotrophic Lateral Sclerosis: A Possible Gender Difference? , 2013, Journal of clinical neurology.
[17] Liangdan Sun,et al. Genome-wide association analyses in Han Chinese identify two new susceptibility loci for amyotrophic lateral sclerosis , 2013, Nature Genetics.
[18] G. Borasio,et al. Amyotrophic lateral sclerosis , 2007, The Lancet.
[19] Shuhua Xu,et al. Genetic structure, divergence and admixture of Han Chinese, Japanese and Korean populations , 2018, Hereditas.
[20] M. Kanai,et al. Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases , 2018, Nature Genetics.
[21] G. Davey Smith,et al. Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies1 , 2016, The American journal of clinical nutrition.
[22] George Davey Smith,et al. Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology , 2008, Statistics in medicine.
[23] M. Tobin,et al. Mendelian Randomisation and Causal Inference in Observational Epidemiology , 2008, PLoS medicine.
[24] N. Sheehan,et al. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic , 2016, International journal of epidemiology.
[25] D. Nickerson,et al. A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions, and Their Response to Statin Treatment, in 1868 Caucasians , 2014, bioRxiv.
[26] A. Chiò,et al. Global Epidemiology of Amyotrophic Lateral Sclerosis: A Systematic Review of the Published Literature , 2013, Neuroepidemiology.
[27] S. Sharp,et al. Explaining heterogeneity in meta-analysis: a comparison of methods. , 1999 .
[28] P. Magnusson,et al. Polygenic link between blood lipids and amyotrophic lateral sclerosis , 2017, Neurobiology of Aging.
[29] C. Armon. An Evidence-Based Medicine Approach to the Evaluation of the Role of Exogenous Risk Factors in Sporadic Amyotrophic Lateral Sclerosis , 2003, Neuroepidemiology.
[30] Y. J. Kim,et al. Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations , 2012, Nature Genetics.
[31] G. Sobue,et al. Prevalence and Incidence of Amyotrophic Lateral Sclerosis in Japan. , 2014, Journal of epidemiology.
[32] S. Thompson,et al. Interpreting findings from Mendelian randomization using the MR-Egger method , 2017, European Journal of Epidemiology.
[33] M. Blaha,et al. Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile. , 2013, JAMA.
[34] V. Meininger,et al. Dyslipidemia is a protective factor in amyotrophic lateral sclerosis , 2008, Neurology.
[35] Eric J Tchetgen Tchetgen,et al. Methodological Challenges in Mendelian Randomization , 2014, Epidemiology.
[36] B. Beaufrère,et al. Validation of bioelectrical impedance analysis in patients with amyotrophic lateral sclerosis. , 2003, The American journal of clinical nutrition.
[37] R. Collins,et al. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. , 2012, Lancet.
[38] A. Chiò,et al. Lower serum lipid levels are related to respiratory impairment in patients with ALS , 2009, Neurology.
[39] F. Chew,et al. Genome-wide association study of Parkinson’s disease in East Asians , 2016, Human molecular genetics.
[40] Manuel A. R. Ferreira,et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.
[41] Olena O Yavorska,et al. MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data , 2017, International journal of epidemiology.
[42] A. Ludolph,et al. Energy metabolism in amyotrophic lateral sclerosis , 2011, The Lancet Neurology.
[43] M. Tarnopolsky,et al. Caloric restriction transiently improves motor performance but hastens clinical onset of disease in the Cu/Zn‐superoxide dismutase mutant G93A mouse , 2005, Muscle & nerve.
[44] S. Thompson,et al. Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects , 2015, American journal of epidemiology.
[45] S. Greenland. An introduction To instrumental variables for epidemiologists , 2000, International journal of epidemiology.
[46] O. Hardiman,et al. Amyotrophic lateral sclerosis , 2011, The Lancet.
[47] G. Davey Smith,et al. Genetic epidemiology and Mendelian randomization for informing disease therapeutics: Conceptual and methodological challenges , 2017, bioRxiv.
[48] Joshua D. Angrist,et al. Identification of Causal Effects Using Instrumental Variables , 1993 .
[49] S. Grant,et al. Mendelian randomization in the era of genomewide association studies. , 2010, Clinical chemistry.
[50] M. Bradburn,et al. Effect of lipid profile on prognosis in the patients with amyotrophic lateral sclerosis: Insights from the olesoxime clinical trial , 2015, Amyotrophic lateral sclerosis & frontotemporal degeneration.
[51] Todd A. Johnson,et al. Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci. , 2015, Human molecular genetics.
[52] J. Loeffler,et al. A plural role for lipids in motor neuron diseases: energy, signaling and structure , 2013, Front. Cell. Neurosci..
[53] E. Beghi,et al. Prognostic factors in ALS: A critical review , 2009, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.
[54] Rui Huang,et al. The serum lipid profiles of amyotrophic lateral sclerosis patients: A study from south-west China and a meta-analysis , 2015, Amyotrophic lateral sclerosis & frontotemporal degeneration.
[55] Y. J. Kim,et al. Meta-analysis of genome-wide association studies in East Asian-ancestry populations identifies four new loci for body mass index. , 2014, Human molecular genetics.
[56] Dylan S. Small,et al. A review of instrumental variable estimators for Mendelian randomization , 2015, Statistical methods in medical research.
[57] Angela M. Malek,et al. Environmental and Occupational Risk Factors for Amyotrophic Lateral Sclerosis: A Case-Control Study , 2013, Neurodegenerative Diseases.
[58] J. Desport,et al. High metabolic level in patients with familial amyotrophic lateral sclerosis , 2009, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.
[59] S. Ebrahim,et al. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? , 2003, International journal of epidemiology.
[60] M. Filippi,et al. Recent advances in amyotrophic lateral sclerosis , 2016, Journal of Neurology.
[61] A. Chiò,et al. Influence of cigarette smoking on ALS outcome: a population-based study , 2016, Journal of Neurology, Neurosurgery & Psychiatry.
[62] P. Visscher,et al. Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosis , 2017, Nature Communications.
[63] V. Meininger,et al. Management of Amyotrophic Lateral Sclerosis , 2012, Drugs.
[64] Fernando Pires Hartwig,et al. Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption , 2017, bioRxiv.
[65] G. Davey Smith,et al. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator , 2016, Genetic epidemiology.
[66] M. Hernán,et al. Smoking and the risk of amyotrophic lateral sclerosis: a systematic review and meta-analysis , 2010, Journal of Neurology, Neurosurgery & Psychiatry.
[67] A. Andrew,et al. Environmental and Occupational Exposures and Amyotrophic Lateral Sclerosis in New England , 2017, Neurodegenerative Diseases.
[68] S. Pääbo,et al. Mitochondrial genome variation and the origin of modern humans , 2000, Nature.
[69] L. H. van den Berg,et al. Beneficial vascular risk profile is associated with amyotrophic lateral sclerosis , 2011, Journal of Neurology, Neurosurgery & Psychiatry.
[70] Jessica M B Rees,et al. Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer , 2017, Genetics.
[71] P. Visscher,et al. Calculating statistical power in Mendelian randomization studies. , 2013, International journal of epidemiology.
[72] Xueli Yang,et al. Genetic Susceptibility to Lipid Levels and Lipid Change Over Time and Risk of Incident Hyperlipidemia in Chinese Populations , 2016, Circulation. Cardiovascular genetics.
[73] B. Rosner,et al. Cholesterol-lowering effects of dietary fiber: a meta-analysis. , 1999, The American journal of clinical nutrition.