The Genetic Architecture of Alopecia Areata

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Presentation transcript:

The Genetic Architecture of Alopecia Areata Lynn Petukhova, Angela M. Christiano  Journal of Investigative Dermatology Symposium Proceedings  Volume 16, Issue 1, Pages S16-S22 (December 2013) DOI: 10.1038/jidsymp.2013.5 Copyright © 2013 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 1 Relationships among a set of 12 autoimmune diseases inferred from genome-wide association study (GWAS) data. As of March 2013, 107 GWAS have been published for 12 autoimmune diseases, implicating 428 genomic regions (http://www.genome.gov/gwastudies). A network plot is created to infer disease relationships from GWAS evidence (Cytoscape) (Shannon et al., 2003). Edges (associations) connect genomic regions (blue nodes) to each disease (white nodes) for which there is a statistically significant association. Distance between disease nodes reflects the extent of common causes, such that there are more shared risk loci among diseases that are closer together in the plot. Loci that are unique to a disease are located toward the outside of the network. Edges for loci associated with AA (opaque blue nodes) are in red, highlighting relationships revealed by GWAS in AA. Genes located within AA–associated regions are indicated in black. AA, alopecia areata; CD, Crohn’s disease; CeD, celiac disease; CTLA4, cytotoxic T-lymphocyte-associated protein 4; ERBB3, erythroblastic leukemia viral oncogene homolog 3; IBD, inflammatory bowel disease; IKZF4, ikaros family zinc-finger 4; MS, multiple sclerosis; PRDX5, peroxiredoxin 5; Ps, psoriasis; RA, rheumatoid arthritis; SLE, system lupus erythematosus; SS, systemic sclerosis; STX17, syntaxin 17; T1D, type 1 diabetes; UC, ulcerative colitis; Vi, vitiligo. Journal of Investigative Dermatology Symposium Proceedings 2013 16, S16-S22DOI: (10.1038/jidsymp.2013.5) Copyright © 2013 The Society for Investigative Dermatology, Inc Terms and Conditions

Figure 2 Genome-wide association study (GWAS) discovery is strongly correlated with sample size. As of March 2013, there are 107 GWAS published for 12 autoimmune diseases (http://www.genome.gov/gwastudies). The total number of loci for each disease is plotted as a function of the sample size for the largest published analysis revealing a strong correlation between sample size and the number of genomic regions with statistically significant associations. AA, alopecia areata; CD, Crohn’s disease; CeD, celiac disease; IBD, inflammatory bowel disease; MS, multiple sclerosis; Ps, psoriasis; RA, rheumatoid arthritis; SLE, system lupus erythematosus; SS, systemic sclerosis; T1D, type 1 diabetes; UC, ulcerative colitis; Vi, vitiligo. Journal of Investigative Dermatology Symposium Proceedings 2013 16, S16-S22DOI: (10.1038/jidsymp.2013.5) Copyright © 2013 The Society for Investigative Dermatology, Inc Terms and Conditions