Genetic variation in the gene LRP2 increases relapse risk in multiple sclerosis
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A. Ponsonby | E. Waubant | R. Lucas | L. Krupp | L. Barcellos | Yuan Zhou | B. Taylor | J. Charlesworth | J. Graves | S. Simpson | A. Belman | I. Mei
[1] Jorge R Oksenberg,et al. Multiple sclerosis genetics , 2018, Multiple sclerosis.
[2] T. Dwyer,et al. An adverse lipid profile and increased levels of adiposity significantly predict clinical course after a first demyelinating event , 2017, Journal of Neurology, Neurosurgery, and Psychiatry.
[3] A. Ponsonby,et al. Role of genetic susceptibility variants in predicting clinical course in multiple sclerosis: a cohort study , 2016, Journal of Neurology, Neurosurgery & Psychiatry.
[4] J. Vincent,et al. Identification of a homozygous missense mutation in LRP2 and a hemizygous missense mutation in TSPYL2 in a family with mild intellectual disability , 2016, Psychiatric genetics.
[5] E. Mowry,et al. Genetic predictors of relapse rate in pediatric MS , 2016, Multiple sclerosis.
[6] R. Gasperini,et al. Low-density Lipoprotein Receptor-related Proteins in a Novel Mechanism of Axon Guidance and Peripheral Nerve Regeneration , 2015, The Journal of Biological Chemistry.
[7] Alexander V. Favorov,et al. A review of genome-wide association studies for multiple sclerosis: classical and hypothesis-driven approaches , 2015, Human Genetics.
[8] V. Martinelli,et al. Analysis of genes, pathways and networks involved in disease severity and age at onset in primary-progressive multiple sclerosis , 2015, Multiple sclerosis.
[9] J. Long,et al. Illumina human exome genotyping array clustering and quality control , 2014, Nature Protocols.
[10] David H. Miller,et al. Pathogenesis of multiple sclerosis: insights from molecular and metabolic imaging , 2014, The Lancet Neurology.
[11] T. Dwyer,et al. Novel modulating effects of PKC family genes on the relationship between serum vitamin D and relapse in multiple sclerosis , 2013, Journal of Neurology, Neurosurgery & Psychiatry.
[12] Kenny Q. Ye,et al. An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.
[13] J. Marchini,et al. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing , 2012, Nature Genetics.
[14] Kenny Q. Ye,et al. De Novo Gene Disruptions in Children on the Autistic Spectrum , 2012, Neuron.
[15] P. D. Jager,et al. Genome-wide association study of severity in multiple sclerosis , 2011, Genes and Immunity.
[16] N. Gaiano,et al. Among γ-secretase substrates Notch1 alone is sufficient to block neurogenesis but does not confer self-renewal properties to neural stem cells. , 2011, Biochemical and biophysical research communications.
[17] G. Comi,et al. MGAT5 alters the severity of multiple sclerosis , 2010, Journal of Neuroimmunology.
[18] P. Bork,et al. A method and server for predicting damaging missense mutations , 2010, Nature Methods.
[19] Jack A. Taylor,et al. SNPinfo: integrating GWAS and candidate gene information into functional SNP selection for genetic association studies , 2009, Nucleic Acids Res..
[20] Michael R. Johnson,et al. Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis. , 2009, Human molecular genetics.
[21] S. Gabriel,et al. Risk alleles for multiple sclerosis identified by a genomewide study. , 2007, The New England journal of medicine.
[22] Lauren B. Krupp,et al. Consensus definitions proposed for pediatric multiple sclerosis and related disorders , 2007, Neurology.
[23] K. Dear,et al. Observational analytic studies in multiple sclerosis: controlling bias through study design and conduct. The Australian Multicentre Study of Environment and Immune Function , 2006, Multiple sclerosis.
[24] O. Andersen,et al. Familial effects on the clinical course of multiple sclerosis , 2006, Neurology.
[25] M. Larsson,et al. Low density lipoprotein receptor‐related protein‐2/megalin is expressed in oligodendrocytes in the mouse spinal cord white matter , 2006, Journal of neuroscience research.
[26] A. Compston,et al. Recommended diagnostic criteria for multiple sclerosis: Guidelines from the international panel on the diagnosis of multiple sclerosis , 2001, Annals of neurology.
[27] K. Sirotkin,et al. dbSNP-database for single nucleotide polymorphisms and other classes of minor genetic variation. , 1999, Genome research.
[28] C. Finch,et al. Glycoprotein 330/Megalin (LRP-2) Has Low Prevalence as mRNA and Protein in Brain Microvessels and Choroid Plexus , 1999, Experimental Neurology.
[29] Henrik Vorum,et al. An Endocytic Pathway Essential for Renal Uptake and Activation of the Steroid 25-(OH) Vitamin D3 , 1999, Cell.
[30] D K Burns,et al. Defective forebrain development in mice lacking gp330/megalin. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[31] D. Strickland,et al. Immunological localization of glycoprotein 330, low density lipoprotein receptor related protein and 39 kDa receptor associated protein in embryonic mouse tissues. , 1994, In vivo.
[32] S. Henikoff,et al. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm , 2009, Nature Protocols.
[33] W. L. Benedict,et al. Multiple Sclerosis , 2007, Journal - Michigan State Medical Society.