Genetic mapping across autoimmune diseases reveals shared associations and mechanisms

International Multiple Sclerosis Genetics Consortium, Matthew R Lincoln, Noah Connally, Pierre-Paul Axisa, Christiane Gasperi, Mitja Mitrovic, David van Heel, Cisca Wijmenga, Sebo Withoff, Iris H Jonkers, Leonid Padyukov, Stephen S Rich, Robert R Graham, Patrick M Gaffney, Carl D Langefeld, Timothy J Vyse, David A Hafler, Sung Chun, Shamil R Sunyaev, Chris Cotsapas*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
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Abstract

Autoimmune and inflammatory diseases are polygenic disorders of the immune system. Many genomic loci harbor risk alleles for several diseases, but the limited resolution of genetic mapping prevents determining whether the same allele is responsible, indicating a shared underlying mechanism. Here, using a collection of 129,058 cases and controls across 6 diseases, we show that ~40% of overlapping associations are due to the same allele. We improve fine-mapping resolution for shared alleles twofold by combining cases and controls across diseases, allowing us to identify more expression quantitative trait loci driven by the shared alleles. The patterns indicate widespread sharing of pathogenic mechanisms but not a single global autoimmune mechanism. Our approach can be applied to any set of traits and is particularly valuable as sample collections become depleted.

Original languageEnglish
Pages (from-to)838-845
Number of pages8
JournalNature genetics
Volume56
Issue number5
Early online date13-May-2024
DOIs
Publication statusPublished - May-2024

Keywords

  • Humans
  • Autoimmune Diseases/genetics
  • Quantitative Trait Loci
  • Chromosome Mapping
  • Genetic Predisposition to Disease
  • Alleles
  • Polymorphism, Single Nucleotide
  • Genome-Wide Association Study
  • Case-Control Studies
  • Multifactorial Inheritance/genetics

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