1. Joint analysis reveals shared autoimmune disease associations and identifies common mechanisms
- Author
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Leonid Padyukov, R. R. Graham, Chris Cotsapas, Mitja Mitrovic, Sung Chun, Matthew R Lincoln, David A. Hafler, Patrick M. Gaffney, Connally N, Carl D. Langefeld, Heel Dv, Cisca Wijmenga, Christiane Gasperi, Sunayev, Iris Jonkers, Pierre-Paul Axisa, Sebo Withoff, and Stephen S. Rich
- Subjects
Autoimmune disease ,Gene mapping ,Mechanism (biology) ,Risk allele ,medicine ,Computational biology ,Biology ,Allele ,Joint analysis ,medicine.disease - 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 if the same allele is responsible, indicating a shared underlying mechanism. Using a collection of 129,058 cases and controls across six diseases, we show that ∼40% of overlapping associations are due to the same allele. We improve fine-mapping resolution for shared alleles two-fold by combining cases and controls across diseases, allowing us to identify more eQTLs driven by the shared alleles. The patterns of sharing indicate widespread shared 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. One sentence summary Genetic mapping in autoimmune diseases increases genetic mapping resolution and reveals shared mechanisms
- Published
- 2021