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Find video protocols related to scientific articles indexed in Pubmed.
[The levels of bone mineralization are influenced by body composition in children and adolescents].
Nutr Hosp
PUBLISHED: 10-23-2014
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There is controversy over the effect of overweight and obesity in bone mineralization in adolescence.
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Identification of novel genetic markers associated with clinical phenotypes of systemic sclerosis through a genome-wide association strategy.
PLoS Genet.
PUBLISHED: 05-25-2011
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The aim of this study was to determine, through a genome-wide association study (GWAS), the genetic components contributing to different clinical sub-phenotypes of systemic sclerosis (SSc). We considered limited (lcSSc) and diffuse (dcSSc) cutaneous involvement, and the relationships with presence of the SSc-specific auto-antibodies, anti-centromere (ACA), and anti-topoisomerase I (ATA). Four GWAS cohorts, comprising 2,296 SSc patients and 5,171 healthy controls, were meta-analyzed looking for associations in the selected subgroups. Eighteen polymorphisms were further tested in nine independent cohorts comprising an additional 3,175 SSc patients and 4,971 controls. Conditional analysis for associated SNPs in the HLA region was performed to explore their independent association in antibody subgroups. Overall analysis showed that non-HLA polymorphism rs11642873 in IRF8 gene to be associated at GWAS level with lcSSc (P?=?2.32×10(-12), OR?=?0.75). Also, rs12540874 in GRB10 gene (P?=?1.27 × 10(-6), OR?=?1.15) and rs11047102 in SOX5 gene (P?=?1.39×10(-7), OR?=?1.36) showed a suggestive association with lcSSc and ACA subgroups respectively. In the HLA region, we observed highly associated allelic combinations in the HLA-DQB1 locus with ACA (P?=?1.79×10(-61), OR?=?2.48), in the HLA-DPA1/B1 loci with ATA (P?=?4.57×10(-76), OR?=?8.84), and in NOTCH4 with ACA P?=?8.84×10(-21), OR?=?0.55) and ATA (P?=?1.14×10(-8), OR?=?0.54). We have identified three new non-HLA genes (IRF8, GRB10, and SOX5) associated with SSc clinical and auto-antibody subgroups. Within the HLA region, HLA-DQB1, HLA-DPA1/B1, and NOTCH4 associations with SSc are likely confined to specific auto-antibodies. These data emphasize the differential genetic components of subphenotypes of SSc.
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[Genetics in scleroderma].
Reumatol Clin
PUBLISHED: 03-30-2010
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Systemic sclerosis or scleroderma (SSc) is an autoimmune pathology with a variable clinical expression grouped within genetically complex diseases, in which environmental and genetical factors combine. Genes of the HLA regions were those first associated with susceptibility to present SSc, mainly the HLA-DRB1?11/?06/?16 allelles. However, through association studies, different candidate genes that belong to the triad of autoimmunity, endothelial disfunction and fibrosis have been proposed as genes implicated in the predisposition to disease. In spite of these initial advances, up until recently most studies have had little statistical power, due to the small number of patients included and the lack of reproduction in independent populations. Recently, the development of genotyping platforms and data analysis has allowed for the application of a new type of strategy known as «genome wide association studies» the analysis of the genetics to complex diseases, which are potent tools in the study of these multifactorial diseases. This paper pretends to perform a review of the recent advances in the study of the genetics of scleroderma, presenting results obtained in the analysis of the main candidate genes outside the HLA regions and the contribution of GWAS to the understanding of the molecular mechanisms of this disease.
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Analysis of MIF, FCGR2A and FCGR3A gene polymorphisms with susceptibility to pulmonary tuberculosis in Moroccan population.
J Genet Genomics
PUBLISHED: 02-09-2010
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In order to investigate the influence of functional polymorphisms of macrophage migration inhibitory factor (MIF), Fcg receptors CD16A (FCGR3A) and CD32A (FCGR2A) genes on susceptibility to pulmonary tuberculosis (PTB) in the Moroccan population, we analyzed 123 patients with PTB and 154 healthy controls. The genotyping for MIF-173 (G/C) (rs755622), FCGR2A-131H/R (rs1801274) and FCGR3A-158V/F (rs396991) was carried out using TaqMan SNP Genotyping Assay method. We found a statistically significant increase of the MIF -173CC homozygote genotype and MIF -173*C allele frequencies in PTB patients compared with healthy controls (17.07%versus 5.84%, P = 0.003; and 35.37%versus 26.30%, P = 0.02; respectively). In contrast, no association was observed between FCGR2A-131H/R and FCGR3A-158V/F polymorphisms and tuberculosis disease. Our finding suggests that MIF -173*C variant may play an important role in the development of active tuberculosis.
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Genome-wide association study of systemic sclerosis identifies CD247 as a new susceptibility locus.
Nat. Genet.
PUBLISHED: 01-04-2010
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Systemic sclerosis (SSc) is an autoimmune disease characterized by fibrosis of the skin and internal organs that leads to profound disability and premature death. To identify new SSc susceptibility loci, we conducted the first genome-wide association study in a population of European ancestry including a total of 2,296 individuals with SSc and 5,171 controls. Analysis of 279,621 autosomal SNPs followed by replication testing in an independent case-control set of European ancestry (2,753 individuals with SSc (cases) and 4,569 controls) identified a new susceptibility locus for systemic sclerosis at CD247 (1q22-23, rs2056626, P = 2.09 x 10(-7) in the discovery samples, P = 3.39 x 10(-9) in the combined analysis). Additionally, we confirm and firmly establish the role of the MHC (P = 2.31 x 10(-18)), IRF5 (P = 1.86 x 10(-13)) and STAT4 (P = 3.37 x 10(-9)) gene regions as SSc genetic risk factors.
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Association of the C8orf13-BLK region with systemic sclerosis in North-American and European populations.
J. Autoimmun.
PUBLISHED: 07-07-2009
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Genetic studies in the systemic sclerosis (SSc), an autoimmune disease that clinically manifests with dermal and internal organ fibrosis and small vessel vasculopathy, have identified multiple susceptibility genes including HLA-class II, PTPN22, IRF5, and STAT4 which have also been associated with other autoimmune diseases, such as systemic lupus erythematosus (SLE). These data suggest that there are common autoimmune disease susceptibility genes. The current report sought to determine if polymorphisms in the C8orf13-BLK region (chromosome 8p23.1-B lymphoid tyrosine kinase), which is associated with SLE, are associated also with SSc.
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The TRAF1-C5 region on chromosome 9q33 is associated with multiple autoimmune diseases.
Ann. Rheum. Dis.
PUBLISHED: 05-10-2009
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The TRAF1-C5 locus has recently been identified as a genetic risk factor for rheumatoid arthritis (RA). Since genetic risk factors tend to overlap with several autoimmune diseases, a study was undertaken to investigate whether this region is associated with type 1 diabetes (TID), celiac disease (CD), systemic sclerosis (SSc) and systemic lupus erythematosus (SLE).
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A loss-of-function variant of PTPN22 is associated with reduced risk of systemic lupus erythematosus.
Hum. Mol. Genet.
PUBLISHED: 02-28-2009
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A gain-of-function R620W polymorphism in the PTPN22 gene, encoding the lymphoid tyrosine phosphatase LYP, has recently emerged as an important risk factor for human autoimmunity. Here we report that another missense substitution (R263Q) within the catalytic domain of LYP leads to reduced phosphatase activity. High-resolution structural analysis revealed the molecular basis for this loss of function. Furthermore, the Q263 variant conferred protection against human systemic lupus erythematosus, reinforcing the proposal that inhibition of LYP activity could be beneficial in human autoimmunity.
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[Common genetic factors in autoimmunity].
Reumatol Clin
PUBLISHED: 02-03-2009
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Autoimmune diseases (AIDs), including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) among others, are characterized by a complex etiology in which the combination of several genetic and environmental factors leads to an altered immune response. Several lines of evidence, such as the presence of chromosomal regions associated with several AIDs and the existence of similar gene expression patterns in autoimmune disorders, suggest that different AIDs share common genetic factors. The identification of common genetic factors associated with autoimmunity is of great relevance, since it will allow a better understanding of disease pathogenesis and could help for the development of molecular diagnosis tools and new therapeutic targets. In the past few years, a great progress has been made in the knowledge of the common genetic factors associated with autoimmunity. The PTPN22 gene, an important regulator of T cell response, has been identified as a relevant genetic marker for AIDs. This gene is implicated in the susceptibility to autoimmune disorders such as, RA, SLE, and type 1 diabetes (T1D). In the case of RA the association with the PTPN22 gene is the most replicated after association with HLA genes. In addition, genes implicated in the altered balance between cytokines, such as MIF and IRF5, have been identified as genetic factors predisposing to AIDs.
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The TT genotype of the STAT4 rs7574865 polymorphism is associated with high disease activity and disability in patients with early arthritis.
PLoS ONE
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The number of copies of the HLA-DRB1 shared epitope, and the minor alleles of the STAT4 rs7574865 and the PTPN22 rs2476601 polymorphisms have all been linked with an increased risk of developing rheumatoid arthritis. In the present study, we investigated the effects of these genetic variants on disease activity and disability in patients with early arthritis.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

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We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.