Combined genetic and transcriptome analysis of patients with Systemic Lupus Erythematosus (SLE)

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001005037	This dataset contains 200 RNA-seq bam files (142 SLE, 58 healthy individuals). RNA libraries were prepared with the Illumina TruSeq sample preparation kit and were sequenced on Illumina HiSeq2000. 49 bp paired-end reads were mapped to the GRCh37 reference human genome using the GEM mapper.This dataset was generated as part of the following study: Panousis et al (2019). Combined genetic and transcriptome analysis of patients with SLE: Distinct, targetable signatures for susceptibility and severity	Illumina HiSeq 2000	200
EGAD00001005038	This dataset contains the imputed genotypes for 197 individuals. All individuals were genotyped with the Illumina HumanCoreExome-24 array. The individuals were phased with SHAPEIT and imputed to the 1000 Genomes Project Phase III using IMPUTE2. This dataset was generated as part of the following study: Panousis et al (2019). Combined genetic and transcriptome analysis of patients with SLE: Distinct, targetable signatures for susceptibility and severity		197
EGAD00001005039	This dataset contains the RPKM and raw read counts of expression for all the individuals. This dataset was generated as part of the following study: Panousis et al (2019). Combined genetic and transcriptome analysis of patients with SLE: Distinct, targetable signatures for susceptibility and severity.		200
EGAD00001005040	This dataset contains the clinical phenotypes/covariates information for all the individuals. This dataset was generated as part of the following study: Panousis et al (2019). Combined genetic and transcriptome analysis of patients with SLE: Distinct, targetable signatures for susceptibility and severity.		200
EGAD00001005041	This dataset contains the eQTL summary statistics (nominal pass, significant eQTLs, best associated variant per gene). eQTL mapping was performed with fastQTL. This dataset was generated as part of the following study: Panousis et al (2019). Combined genetic and transcriptome analysis of patients with SLE: Distinct, targetable signatures for susceptibility and severity.		142
EGAD00001005042	This dataset contains the sQTL summary statistics (nominal pass, significant sQTLs). sQTL mapping was performed with QTLtools. This dataset was generated as part of the following study: Panousis et al (2019). Combined genetic and transcriptome analysis of patients with SLE: Distinct, targetable signatures for susceptibility and severity.		142

Publications	Citations
Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity. Panousis NI, Bertsias GK, Ongen H, Gergianaki I, Tektonidou MG, Trachana M, Romano-Palumbo L, Bielser D, Howald C, Pamfil C, Fanouriakis A, Kosmara D, Repa A, Sidiropoulos P, Dermitzakis ET, Boumpas DT. Ann Rheum Dis 78: 2019 1079-1089	61
Extensive fragmentation and re-organization of transcription in Systemic Lupus Erythematosus. Ntasis VF, Panousis NI, Tektonidou MG, Dermitzakis ET, Boumpas DT, Bertsias GK, Nikolaou C. Sci Rep 10: 2020 16648	7
Current status of use of high throughput nucleotide sequencing in rheumatology. Boegel S, Castle JC, Schwarting A. RMD Open 7: 2021 e001324	1
Molecular Taxonomy of Systemic Lupus Erythematosus Through Data-Driven Patient Stratification: Molecular Endotypes and Cluster-Tailored Drugs. Garantziotis P, Nikolakis D, Doumas S, Frangou E, Sentis G, Filia A, Fanouriakis A, Bertsias G, Boumpas DT. Front Immunol 13: 2022 860726	7