Derecho de Sucesiones

La muerte de una persona es uno de los hechos jurídicos que mayor trascendencia acarre dentro del ordenamiento jurídico, no solo por implica el fin de la existencia de la persona, sino por todas aquellas consecuencia de índole patrimonial que ocasiona; por esta razón, su inclusión se convierte en un imperativo categórico para la buena formación del estudiantado. La prolongación de la personalidad jurídica del difunto en sus herederos es una de la ficciones legales de mayor importancia, de forma que constituye el mecanismo por medio del cual la ciencia jurídica ha configurado la transmisión de tanto de los derechos como de las obligaciones del de cuius, así se proporciona una efectiva seguridad jurídica concretada en el hecho de que, salvo en el caso de los derechos y obligaciones personalísimos, todas, las relaciones patrimoniales de la persona no extinguen por el hecho de su fallecimiento. Para comprender la trascendencia y significancia del Derecho sucesorio y de sus instituciones es insoslayable estudiar sus orígenes en Derecho romano, así como su evolución histórica; de esta manera, el estudiantado tendrá una visión integral de la materia objeto de nuestro estudio

Additional file 2 of A genome-wide cross-trait analysis identifies genomic correlation, pleiotropic loci, and causal relationship between sex hormone-binding globulin and rheumatoid arthritis

Additional file 2: Fig. S1. Local genetic correlation between crude sex hormone-binding globulin and rheumatoid arthritis. Colored bars represent loci with significant local genetic correlation, covariance, and SNP-heritability after multiple testing adjustment. SHBG: sex hormone-binding globulin; RA: rheumatoid arthritis. Fig. S2. Leaving one SNP out at a time for the association between sex hormone-binding globulin and rheumatoid arthritis

Additional file 1 of A genome-wide cross-trait analysis identifies genomic correlation, pleiotropic loci, and causal relationship between sex hormone-binding globulin and rheumatoid arthritis

Additional file 1: Table S1. The characteristic of sex hormone-binding globulin adjusted for BMI associated index SNPs, their effect sizes with exposure and outcome, as well as their associations with potential confounders. Table S2. The characteristic of sex hormone-binding globulin adjusted for BMI associated index SNPs in men, their effect sizes with exposure and outcome, as well as their associations with potential confounders. Table S3. The characteristic of sex hormone-binding globulin adjusted for BMI associated index SNPs in women, their effect sizes with exposure and outcome, as well as their associations with potential confounders. Table S4. The characteristic of crude sex hormone-binding globulin associated index SNPs, their effect sizes with exposure and outcome, as well as their associations with potential confounders. Table S5. The characteristic of crude sex hormone binding globulin associated index SNPs in men, their effect sizes with exposure and outcome, as well as their associations with potential confounders. Table S6. The characteristic of crude sex hormone-binding globulin associated index SNPs in women, their effect sizes with exposure and outcome, as well as their associations with potential confounders. Table S7. Cross-trait meta-analysis between sex hormone-binding globulin adjusted for BMI and rheumatoid arthritis, excluding the MHC region (PCPASSOC < 5×10−8, PSHBGadjBMI < 1×10−5 and PRA < 1×10−5). Table S8. Cross-trait meta-analysis between crude sex hormone-binding globulin and rheumatoid arthritis, excluding the MHC region (PCPASSOC < 5×10−8, PSHBG < 1×10−5 and PRA < 1×10−5). Table S9. Functional annotation of SNPs shared between sex hormone-binding globulin adjusted for BMI and rheumatoid arthritis identified from the cross-trait meta-analysis, excluding the MHC region. Table S10. Functional annotation of SNPs shared between crude sex hormone-binding globulin and rheumatoid arthritis identified from the cross-trait meta-analysis, excluding the MHC region. Table S11. List of 99% credible set SNPs in each sex hormone-binding globulin adjusted for BMI and rheumatoid arthritis shared locus identified from fine-mapping analysis (r2 threshold = 0.6). Table S12. Shared significant genes between sex hormone binding globulin adjusted for BMI and rheumatoid arthritis from transcriptome-wide association studies using gene expressions across 49 GTEx tissues. Table S13. Bidirectional causal associations between genetically predicted sex hormone-binding globulin levels and risk of rheumatoid arthritis. Table S14. Sensitivity analysis of causal association between genetically predicted sex hormone-binding globulin levels and risk of rheumatoid arthritis. Table S15. Causal association between sex hormone-binding globulin levels and risk of rheumatoid arthritis based on the robust adjusted profile score (RAPS). Table S16. Power calculation in assumed and actual OR in our study

DataSheet_5_Haplotype-Specific Expression Analysis of MHC Class II Genes in Healthy Individuals and Rheumatoid Arthritis Patients.xlsx

HLA-DRB1 alleles have been associated with several autoimmune diseases. For anti-citrullinated protein antibody positive rheumatoid arthritis (RA), HLA-DRB1 shared epitope (SE) alleles are the major genetic risk factors. In order to study the genetic regulation of major histocompatibility complex (MHC) Class II gene expression in immune cells, we investigated transcriptomic profiles of a variety of immune cells from healthy individuals carrying different HLA-DRB1 alleles. Sequencing libraries from peripheral blood mononuclear cells, CD4+ T cells, CD8+ T cells, and CD14+ monocytes of 32 genetically pre-selected healthy female individuals were generated, sequenced and reads were aligned to the standard reference. For the MHC region, reads were mapped to available MHC reference haplotypes and AltHapAlignR was used to estimate gene expression. Using this method, HLA-DRB and HLA-DQ were found to be differentially expressed in different immune cells of healthy individuals as well as in whole blood samples of RA patients carrying HLA-DRB1 SE-positive versus SE-negative alleles. In contrast, no genes outside the MHC region were differentially expressed between individuals carrying HLA-DRB1 SE-positive and SE-negative alleles, thus HLA-DRB1 SE alleles have a strong cis effect on gene expression. Altogether, our findings suggest that immune effects associated with different allelic forms of HLA-DR and HLA-DQ may be associated not only with differences in the structure of these proteins, but also with differences in their expression levels.</p

DataSheet_1_Haplotype-Specific Expression Analysis of MHC Class II Genes in Healthy Individuals and Rheumatoid Arthritis Patients.pdf

HLA-DRB1 alleles have been associated with several autoimmune diseases. For anti-citrullinated protein antibody positive rheumatoid arthritis (RA), HLA-DRB1 shared epitope (SE) alleles are the major genetic risk factors. In order to study the genetic regulation of major histocompatibility complex (MHC) Class II gene expression in immune cells, we investigated transcriptomic profiles of a variety of immune cells from healthy individuals carrying different HLA-DRB1 alleles. Sequencing libraries from peripheral blood mononuclear cells, CD4+ T cells, CD8+ T cells, and CD14+ monocytes of 32 genetically pre-selected healthy female individuals were generated, sequenced and reads were aligned to the standard reference. For the MHC region, reads were mapped to available MHC reference haplotypes and AltHapAlignR was used to estimate gene expression. Using this method, HLA-DRB and HLA-DQ were found to be differentially expressed in different immune cells of healthy individuals as well as in whole blood samples of RA patients carrying HLA-DRB1 SE-positive versus SE-negative alleles. In contrast, no genes outside the MHC region were differentially expressed between individuals carrying HLA-DRB1 SE-positive and SE-negative alleles, thus HLA-DRB1 SE alleles have a strong cis effect on gene expression. Altogether, our findings suggest that immune effects associated with different allelic forms of HLA-DR and HLA-DQ may be associated not only with differences in the structure of these proteins, but also with differences in their expression levels.</p

DataSheet_4_Haplotype-Specific Expression Analysis of MHC Class II Genes in Healthy Individuals and Rheumatoid Arthritis Patients.xlsx

HLA-DRB1 alleles have been associated with several autoimmune diseases. For anti-citrullinated protein antibody positive rheumatoid arthritis (RA), HLA-DRB1 shared epitope (SE) alleles are the major genetic risk factors. In order to study the genetic regulation of major histocompatibility complex (MHC) Class II gene expression in immune cells, we investigated transcriptomic profiles of a variety of immune cells from healthy individuals carrying different HLA-DRB1 alleles. Sequencing libraries from peripheral blood mononuclear cells, CD4+ T cells, CD8+ T cells, and CD14+ monocytes of 32 genetically pre-selected healthy female individuals were generated, sequenced and reads were aligned to the standard reference. For the MHC region, reads were mapped to available MHC reference haplotypes and AltHapAlignR was used to estimate gene expression. Using this method, HLA-DRB and HLA-DQ were found to be differentially expressed in different immune cells of healthy individuals as well as in whole blood samples of RA patients carrying HLA-DRB1 SE-positive versus SE-negative alleles. In contrast, no genes outside the MHC region were differentially expressed between individuals carrying HLA-DRB1 SE-positive and SE-negative alleles, thus HLA-DRB1 SE alleles have a strong cis effect on gene expression. Altogether, our findings suggest that immune effects associated with different allelic forms of HLA-DR and HLA-DQ may be associated not only with differences in the structure of these proteins, but also with differences in their expression levels.</p

DataSheet_2_Haplotype-Specific Expression Analysis of MHC Class II Genes in Healthy Individuals and Rheumatoid Arthritis Patients.xlsx

HLA-DRB1 alleles have been associated with several autoimmune diseases. For anti-citrullinated protein antibody positive rheumatoid arthritis (RA), HLA-DRB1 shared epitope (SE) alleles are the major genetic risk factors. In order to study the genetic regulation of major histocompatibility complex (MHC) Class II gene expression in immune cells, we investigated transcriptomic profiles of a variety of immune cells from healthy individuals carrying different HLA-DRB1 alleles. Sequencing libraries from peripheral blood mononuclear cells, CD4+ T cells, CD8+ T cells, and CD14+ monocytes of 32 genetically pre-selected healthy female individuals were generated, sequenced and reads were aligned to the standard reference. For the MHC region, reads were mapped to available MHC reference haplotypes and AltHapAlignR was used to estimate gene expression. Using this method, HLA-DRB and HLA-DQ were found to be differentially expressed in different immune cells of healthy individuals as well as in whole blood samples of RA patients carrying HLA-DRB1 SE-positive versus SE-negative alleles. In contrast, no genes outside the MHC region were differentially expressed between individuals carrying HLA-DRB1 SE-positive and SE-negative alleles, thus HLA-DRB1 SE alleles have a strong cis effect on gene expression. Altogether, our findings suggest that immune effects associated with different allelic forms of HLA-DR and HLA-DQ may be associated not only with differences in the structure of these proteins, but also with differences in their expression levels.</p

DataSheet_3_Haplotype-Specific Expression Analysis of MHC Class II Genes in Healthy Individuals and Rheumatoid Arthritis Patients.xlsx

HLA-DRB1 alleles have been associated with several autoimmune diseases. For anti-citrullinated protein antibody positive rheumatoid arthritis (RA), HLA-DRB1 shared epitope (SE) alleles are the major genetic risk factors. In order to study the genetic regulation of major histocompatibility complex (MHC) Class II gene expression in immune cells, we investigated transcriptomic profiles of a variety of immune cells from healthy individuals carrying different HLA-DRB1 alleles. Sequencing libraries from peripheral blood mononuclear cells, CD4+ T cells, CD8+ T cells, and CD14+ monocytes of 32 genetically pre-selected healthy female individuals were generated, sequenced and reads were aligned to the standard reference. For the MHC region, reads were mapped to available MHC reference haplotypes and AltHapAlignR was used to estimate gene expression. Using this method, HLA-DRB and HLA-DQ were found to be differentially expressed in different immune cells of healthy individuals as well as in whole blood samples of RA patients carrying HLA-DRB1 SE-positive versus SE-negative alleles. In contrast, no genes outside the MHC region were differentially expressed between individuals carrying HLA-DRB1 SE-positive and SE-negative alleles, thus HLA-DRB1 SE alleles have a strong cis effect on gene expression. Altogether, our findings suggest that immune effects associated with different allelic forms of HLA-DR and HLA-DQ may be associated not only with differences in the structure of these proteins, but also with differences in their expression levels.</p

Disease activity score (DAS) response/remission after 3–6 months therapy with etanercept with or without methotrexate (MTX)

<p><b>Copyright information:</b></p><p>Taken from "Etanercept versus etanercept plus methotrexate: a registry-based study suggesting that the combination is clinically more efficacious"</p><p>Arthritis Research & Therapy 2003;5(6):R347-R351.</p><p>Published online 1 Oct 2003</p><p>PMCID:PMC333416.</p><p>Copyright © 2003 van Vollenhoven et al., licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.</p> Data are the percentages of patients achieving the European League Against Rheumatism criteria for moderate/good clinical response and for remission

Association between <i>NPSR1</i> SNPs and DAS28 in rheumatoid arthritis patients.

#<p>Minor allele in lower case.</p>§<p>A  =  major allele: a  =  minor allele.</p><p>°Minor allele is the tested allele.</p><p>*significant after Bonferroni correction for multiple testing.</p