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Impact of genetic risk loci for multiple sclerosis on expression of proximal genes in patients.
James, Tojo; Lindén, Magdalena; Morikawa, Hiromasa; Fernandes, Sunjay Jude; Ruhrmann, Sabrina; Huss, Mikael; Brandi, Maya; Piehl, Fredrik; Jagodic, Maja; Tegnér, Jesper; Khademi, Mohsen; Olsson, Tomas; Gomez-Cabrero, David; Kockum, Ingrid.
Affiliation
  • James T; Neuroimmunology Unit, Department of Clinical Neuroscience, Solna, Sweden.
  • Lindén M; Center for Molecular Medicine, L8: 05, Solna, Sweden.
  • Morikawa H; Neuroimmunology Unit, Department of Clinical Neuroscience, Solna, Sweden.
  • Fernandes SJ; Center for Molecular Medicine, L8: 05, Solna, Sweden.
  • Ruhrmann S; Experimental Rheumatology Unit, Department of Medicine, Solna, Sweden.
  • Huss M; Center for Molecular Medicine, L8: 05, Solna, Sweden.
  • Brandi M; Unit of Computational Medicine, Department of Medicine, Solna, Karolinska Institutet, 171 76 Stockholm, Sweden.
  • Piehl F; Biological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Saudi Arabia.
  • Jagodic M; Center for Molecular Medicine, L8: 05, Solna, Sweden.
  • Tegnér J; Unit of Computational Medicine, Department of Medicine, Solna, Karolinska Institutet, 171 76 Stockholm, Sweden.
  • Khademi M; Neuroimmunology Unit, Department of Clinical Neuroscience, Solna, Sweden.
  • Olsson T; Center for Molecular Medicine, L8: 05, Solna, Sweden.
  • Gomez-Cabrero D; Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.
  • Kockum I; Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.
Hum Mol Genet ; 27(5): 912-928, 2018 03 01.
Article in En | MEDLINE | ID: mdl-29325110
ABSTRACT
Despite advancements in genetic studies, it is difficult to understand and characterize the functional relevance of disease-associated genetic variants, especially in the context of a complex multifactorial disease such as multiple sclerosis (MS). As a large proportion of expression quantitative trait loci (eQTLs) are context-specific, we performed RNA-Seq in peripheral blood mononuclear cells from MS patients (n = 145) to identify eQTLs in regions centered on 109 MS risk single nucleotide polymorphisms and 7 associated human leukocyte antigen variants. We identified 77 statistically significant eQTL associations, including pseudogenes and non-coding RNAs. Thirty-eight out of 40 testable eQTL effects were colocalized with the disease association signal. As many eQTLs are tissue specific, we aimed to detail their significance in different cell types. Approximately 70% of the eQTLs were replicated and characterized in at least one major peripheral blood mononuclear cell-derived cell type. Furthermore, 40% of eQTLs were found to be more pronounced in MS patients compared with non-inflammatory neurological diseases patients. In addition, we found two single nucleotide polymorphisms to be significantly associated with the proportions of three different cell types. Mapping to enhancer histone marks and predicted transcription factor binding sites added additional functional evidence for eight eQTL regions. As an example, we found that rs71624119, shared with three other autoimmune diseases and located in a primed enhancer (H3K4me1) with potential binding for STAT transcription factors, significantly associates with ANKRD55 expression. This study provides many novel and validated targets for future functional characterization of MS and other diseases.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait Loci / Multiple Sclerosis Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Hum Mol Genet Journal subject: BIOLOGIA MOLECULAR / GENETICA MEDICA Year: 2018 Type: Article Affiliation country: Sweden

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait Loci / Multiple Sclerosis Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Hum Mol Genet Journal subject: BIOLOGIA MOLECULAR / GENETICA MEDICA Year: 2018 Type: Article Affiliation country: Sweden