rs111796602 - ELMO1

Magnitude 4.5 · 2 studies on file

Reported associations

• Genetic Identification of Two Novel Loci Associated with Steroid-Sensitive Nephrotic Syndrome. - Journal of the American Society of Nephrology : JASN (2020) · Dufek S, Cheshire C, Levine AP, Trompeter RS, Issler N, Stubbs M, Mozere M, Gupta S, Klootwijk E, Patel V, Hothi D, Waters A, Webb H, Tullus K, Jenkins L, Godinho L, Levtchenko E, Wetzels J, Knoers N, Teeninga N, Nauta J, Shalaby M, Eldesoky S, Kari JA, Thalgahagoda S, Ranawaka R, Abeyagunawardena A, Adeyemo A, Kristiansen M, Gbadegesin R, Webb NJ, Gale DP, Stanescu HC, Kleta R, Bockenhauer D · PubMed 31263063

  Steroid-sensitive nephrotic syndrome (SSNS), the most common form of nephrotic syndrome in childhood, is considered an autoimmune disease with an established classic HLA association. However, the precise etiology of the disease is unclear. In other autoimmune diseases, the identification of loci outside the classic HLA region by genome-wide association studies (GWAS) has provided critical insights into disease pathogenesis. Previously conducted GWAS of SSNS have not identified non-HLA loci achieving genome-wide significance. In an attempt to identify additional loci associated with SSNS, we conducted a GWAS of a large cohort of European ancestry comprising 422 ethnically homogeneous pediatric patients and 5642 ethnically matched controls. The GWAS found three loci that achieved genome-wide

• Multi-population genome-wide association study implicates immune and non-immune factors in pediatric steroid-sensitive nephrotic syndrome - Unknown journal (n.d.) · Unknown authors · PubMed 37120605

  ABSTRACT: Pediatric steroid-sensitive nephrotic syndrome (pSSNS) is the most common childhood glomerular disease. Previous genome-wide association studies (GWAS) identified a risk locus in the HLA Class II region and three additional independent risk loci. But the genetic architecture of pSSNS, and its genetically driven pathobiology, is largely unknown. Here, we conduct a multi-population GWAS meta-analysis in 38,463 participants (2440 cases). We then conduct conditional analyses and population specific GWAS. We discover twelve significant associations-eight from the multi-population meta-analysis (four novel), two from the multi-population conditional analysis (one novel), and two additional novel loci from the European meta-analysis. Fine-mapping implicates specific amino acid haploty

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