While providing remarkable insights into disease pathogenesis, genetic studies of psoriasis (and other immune-mediated inflammatory disorders (IMIDs) present several challenges. Thus, ~90% of IMID genetic signals do not appear to affect protein structure, mandating a search for genetic effects on gene regulation requiring study of disease-relevant cell types in physiologic context. Moreover, pathogenic cell types are often hard to access experimentally, and may be rare in diseased tissue. To address these challenges, we have developed several unique resources. We have completed a comparative GWAS of psoriatic arthritis (PsA) and purely cutaneous psoriasis (PsC), and a GWAS of psoriasis in India is nearing completion. We have generated RNA-seq based transcriptomes of normal vs. psoriatic skin, revealing expression quantitative trait loci (eQTL), critical transcriptional networks, and novel lncRNAs. We have developed advanced data-mining tools for elucidating the nature of non-coding genetic variation. Finally, we have extensive capabilities to study psoriasis biology in lymphocytes, dendritic cells (DC), and keratinocytes (KC). We hypothesize that specific alterations in chromatin structure and gene regulation in skin-homing T-cells and myeloid DC (mDC) underlie the effects of psoriasis-associated genetic variants. In pursuit of this hypothesis, we propose the following Specific Aims: 1. To increase the power and resolution of psoriasis GWAS. This will be accomplished by (a) meta-analysis of European-origin datasets; (b) completing a GWAS in 2,500 psoriasis cases and 2,500 controls of South Asian origin; and (c) trans-ethnic meta-analysis of European, South Asian, and Chinese samples. 2. To define eQTLs in psoriasis-relevant immunocytes. This will involve (a) mining existing gene variation and expression data from GTEx and ImmVar; (b) performing genotyping and imputation on 75 PsC cases and 75 controls with skin RNA-seq data; (c) performing RNA-seq on blood-derived resting vs. stimulated mDC and skin-homing CD4+ and CD8+ T-cells from these individuals; and (d) performing eQTL analysis. 3. To define chromatin-QTLs in psoriasis-relevant immunocytes. This will be accomplished by (a) mining relevant existing chromatin data from GTEx, ENCODE and the Roadmap Epigenomics Project; (b) using ATAC-seq to generate chromatin structural data and transcription factor (TF) binding footprints for resting vs. stimulated mDC and skin-homing CD4+ and CD8+ T-cells from the same 75 PsC cases and 75 controls from Aim 2; and (c) performing chromatin-QTL (chrQTL) analysis using data from Aims 2a and 3. 4. To relate psoriasis GWAS signals to psoriasis-relevant eQTLs and chrQTLs. This will be done by (a) integrating association signals from Aim 1, eQTLs from Aim 2, and chrQTLs and TF footprints from Aim 3; (b) further prioritizing these signals based on psoriasis immunobiology; and (c) testing the strongest candidate variants via genetic manipulation. These experiments will generate an unprecedented genetic/epigenetic resource that will help us understand the pathophysiology of psoriasis and other autoimmune diseases.

Public Health Relevance

Psoriasis is a major health problem in the United States, whose pathogenesis is incompletely understood unknown. The proposed research will combine the power of large genome-wide association studies of psoriasis with extensive characterization of genetic variation, gene expression and chromatin structure of normal and psoriatic skin, along with key immune cells purified from the same individuals, to address major gaps in our mechanistic understanding of the causes of psoriasis. The results of this research are also likely to be relevant to other immune-mediated inflammatory disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR042742-21
Application #
9246431
Study Section
Special Emphasis Panel (ZRG1-GGG-A (90)S)
Program Officer
Cibotti, Ricardo
Project Start
1994-03-10
Project End
2021-03-31
Budget Start
2017-04-01
Budget End
2018-03-31
Support Year
21
Fiscal Year
2017
Total Cost
$535,113
Indirect Cost
$184,382
Name
University of Michigan Ann Arbor
Department
Dermatology
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Mehta, Nehal N; Teague, Heather L; Swindell, William R et al. (2017) IFN-? and TNF-? synergism may provide a link between psoriasis and inflammatory atherogenesis. Sci Rep 7:13831
Budu-Aggrey, Ashley; Bowes, John; Stuart, Philip E et al. (2017) A rare coding allele in IFIH1 is protective for psoriatic arthritis. Ann Rheum Dis 76:1321-1324
Tsoi, Lam C; Stuart, Philip E; Tian, Chao et al. (2017) Large scale meta-analysis characterizes genetic architecture for common psoriasis associated variants. Nat Commun 8:15382
Niehues, Hanna; Tsoi, Lam C; van der Krieken, Danique A et al. (2017) Psoriasis-Associated Late Cornified Envelope (LCE) Proteins Have Antibacterial Activity. J Invest Dermatol 137:2380-2388
Nair, Thankam S; Kommareddi, Pavan K; Galano, Maria M et al. (2016) SLC44A2 single nucleotide polymorphisms, isoforms, and expression: Association with severity of Meniere's disease? Genomics 108:201-208
Rittié, Laure; Tejasvi, Trilokraj; Harms, Paul W et al. (2016) Sebaceous Gland Atrophy in Psoriasis: An Explanation for Psoriatic Alopecia? J Invest Dermatol 136:1792-800
Ellinghaus, David; Jostins, Luke; Spain, Sarah L et al. (2016) Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci. Nat Genet 48:510-8
Das, Sayantan; Stuart, Philip E; Ding, Jun et al. (2015) Fine mapping of eight psoriasis susceptibility loci. Eur J Hum Genet 23:844-53
Tsoi, Lam C; Elder, James T; Abecasis, Goncalo R (2015) Graphical algorithm for integration of genetic and biological data: proof of principle using psoriasis as a model. Bioinformatics 31:1243-9
Stuart, Philip E; Nair, Rajan P; Tsoi, Lam C et al. (2015) Genome-wide Association Analysis of Psoriatic Arthritis and Cutaneous Psoriasis Reveals Differences in Their Genetic Architecture. Am J Hum Genet 97:816-36

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