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Genetic mapping across autoimmune diseases reveals shared associations and mechanisms.

Matthew R LincolnNoah ConnallyPierre-Paul AxisaChristiane GasperiMitja MitrovicDavid A van HeelCisca WijmengaSebo WithoffIris H JonkersLeonid Padyukovnull nullStephen S RichRobert R GrahamPatrick M GaffneyCarl D LangefeldTimothy J VyseDavid A HaflerSung ChunShamil R SunyaevChris Cotsapas
Published in: Nature genetics (2024)
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.
Keyphrases
  • genome wide
  • high resolution
  • copy number
  • dna methylation
  • multiple sclerosis
  • high density
  • poor prognosis
  • social media
  • single molecule
  • air pollution
  • mouse model
  • health information
  • genome wide association