<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE186757" accession="SRP343632">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP343632</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA775976</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE186757</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Whole genome sequencing reveals that variants in the Interleukin 18 Receptor Accessory Protein 3'UTR protect against ALS</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>The non-coding genome is substantially larger than the protein-coding genome, but has been largely unexplored by genetic association studies. Here, we performed region-based rare-variant association analysis of &gt;25,000 variants in untranslated regions of 6,139 amyotrophic lateral sclerosis (ALS) whole-genomes and those of 70,403 non-ALS controls. We identified Interleukin-18 Receptor Accessory Protein (IL18RAP) 3'UTR variants as significantly enriched in non-ALS genomes and associated with five-fold reduced risk of developing ALS, and this was replicated in an independent cohort. These variants in the IL18RAP 3'UTR reduce mRNA stability and the binding of double-stranded RNA-binding proteins. Finally, the variants of IL18RAP 3'UTR confer a survival advantage for motor neurons because they dampen neurotoxicity of human iPSC-derived microglia bearing an ALS-associated expansion in C9orf72, and this depends on NF-?B signaling. This study reveals genetic variants that protect against ALS by reducing neuroinflammation, and emphasizes the importance of non-coding genetic association studies. Overall design: Transcriptomics comparison in isogenic ipMG harboring variant vs. canonical IL18RAP 3'UTR, following exposure to LPS (100ng/mL) + IL18 (100ng/mL) (n=4 per group).</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE186757</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>35361972</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
