Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0024141 (systemic lupus erythematosus)
 44,322 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Recent large-scale genome-wide association (GWA) studies of SNP variations captured many thousands individual genetic profiles of H. sapiens and facilitated identification of significant genetic traits which are highly likely to influence the pathogenesis of several major human diseases. Here we apply the integrative genomics principles to interrogate relationships between structural features and gene expression patterns of disease-linked SNPs, microRNAs and mRNAs of protein-coding genes in association to phenotypes of 15 major human disorders, namely bipolar disease (BD); rheumatoid arthritis (RA); coronary artery disease (CAD); Crohn's disease (CD); type 1 diabetes (T1D); type 2 diabetes (T2D); hypertension (HT); ankylosing spondylitis (AS); Graves' disease (autoimmune thyroid disease; AITD); multiple sclerosis (MS); breast cancer (BC); prostate cancer (PC); systemic lupus erythematosus (SLE); vitiligo-associated multiple autoimmune disease (VIT); and ulcerative colitis (UC). We selected for sequence homology profiling a set of approximately 250 SNPs which were unequivocally associated with common human disorders based on multiple independent studies of 220,124 individual samples comprising 85,077 disease cases and 129,506 controls. Our analysis reveals a systematic primary sequence homology/complementarity-driven pattern of associations between disease-linked SNPs, microRNAs and protein-coding mRNAs defined here as a human disease phenocode. We utilize this approach to draw SNP-guided microRNA maps of major human diseases and define a consensus disease phenocode for fifteen major human disorders. A consensus disease phenocode comprises 72 SNPs and 18 microRNAs with an apparent propensity to target mRNA sequences derived from a single protein-coding gene, KPNA1. Each of microRNAs in this elite set appears linked to at least three common human diseases and has potential protein-coding mRNA targets among the principal components of the nuclear import pathway. We confirmed the validity of our findings by analyzing independent sets of most significant disease-linked SNPs and demonstrating statistically significant KPNA1-gene expression phenotypes associated with human genotypes of CD, BD, T2D and RA populations. Our analysis supports the idea that variations in DNA sequences associated with multiple human diseases may affect phenotypes in trans via non-protein-coding RNA intermediaries interfering with functions of microRNAs and defines the nuclear import pathway as a potential major target in 15 common human disorders.
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PMID:An SNP-guided microRNA map of fifteen common human disorders identifies a consensus disease phenocode aiming at principal components of the nuclear import pathway. 1871 69

We report the results of a disease phenocode analysis interrogating the relationships between structural features and gene expression patterns of disease-linked SNPs, microRNAs and mRNAs of protein-coding genes in association to phenotypes of 16 major human disorders, which was enabled by multiple independent studies of up to 451,012 combined samples including 194,258 disease cases and 256,754 controls. SNP sequence homology-guided microRNA maps (MirMaps) identify consensus components of a disease phenocode consisting of 81 SNPs and 17 microRNAs. microRNAs of the consensus set are associated with at least 4 common human diseases (range 4 to 7 diseases) and manifest sequence homology/complementarity to at least 4 distinct disease-linked SNPs (range 4 to 14 SNPs). Nearly all microRNAs (15 of 17; 88%) of the consensus set has potential protein-coding mRNA targets among the principal components of the nuclear import pathway (NIP) and/or inflammasome pathways including KPNA1, NLRP1 (NALP1) and NLRP3 (NALP3) genes. Analysis of expression profiling experiments of peripheral blood mononuclear cells (PBMC) demonstrates statistically significant KPNA1-, NLRP1- and NLRP3-gene expression phenotypes associated with human genotypes of Crohn's disease (CD), Huntington's disease (HD) and rheumatoid arthritis (RA) populations. Unexpectedly, microarray analysis of PBMC from patients treated with chloroquine reveals a reversal of disease-linked KPNA1-, NLRP1- and NLRP3-gene expression phenotypes, implying that chloroquine could serve as a readily clinically available drug for targeted correction of identified aberrations. We conclude that genetically-defined malfunctions of the NIP and inflammasome pathways are likely to contribute to pathogenesis of multiple common human disorders and PBMC-based genetic tests may be useful for monitoring the individual's response to therapy. Prescription of chloroquine, an FDA-approved drug which is widely utilized for treatment of malaria, RA and systemic lupus erythematosus (SLE), may have a therapeutic value in clinical management of a large spectrum of human disorders.
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PMID:SNP-guided microRNA maps (MirMaps) of 16 common human disorders identify a clinically accessible therapy reversing transcriptional aberrations of nuclear import and inflammasome pathways. 1900 69