Genome-wide association studies (GWAS) have successfully identified approximately 36 psoriasis susceptibility loci. However, the causal variants at these loci remain largely unknown, and it is very likely that a large number of additional loci remain to be identified. In this proposal, we pursue a comprehensive strategy to identify both common and rare causal variants in psoriasis, and then perform targeted functional studies of these variants. In the first aim, we focus on the identification of common causal variants, the majority of which are expected to be regulatory. We improve statistical power by performing a meta-analysis of 5 European ancestry psoriasis GWAS totaling 4,832 cases and 10,103 controls, and further refine causal regions by comparison with 2 Asian ancestry psoriasis GWAS totaling 1,588 cases and 3,566 controls. From within causal regions, putative causal variants are identified using a novel bioinformatics approach that takes advantage of the recent release of a genome-wide map of human regulatory elements. Causal variants are further validated by follow-up genotyping in an independent sample of 11,141 cases and 11,020 controls. In the second aim, we focus on the identification of rare, coding variants. To increase our statistical power to detect rare variant associations, we perform exome sequencing of 500 severe-phenotype psoriasis cases and then impute the identified rare variants onto a GWAS cohort of 4,832 cases and 10,103 controls. Putative causal variants are again validated in independent cohorts. In the third aim, we create a psoriasis regulatory roadmap that defines how non-coding variants impact cell lineage specific gene expression, and further test coding variants for functional impact using cellular assays. Overall, the expected outcome of the proposed work will be first, a high quality list of putative causal SNPs at established psoriasis loci; second, the discovery of common and rare causal variants at novel loci; and third, the establishment of a roadmap by which we can understand the impact of these variants in specific cell types relevant to psoriasis. These advances will establish an important and necessary foundation that will guide future mechanistic studies of psoriasis and will identify new biological targets for therapy.

Public Health Relevance

Psoriasis is a debilitating, inflammatory skin disease that affects over 7 million Americans. Although genetic studies of psoriasis have thus far identified a number of gene variants linked to psoriasis, identifying the precise gene variants that cause psoriasis has remained elusive. In this proposal, we use large genetic datasets, novel bioinformatics methods, and the cutting-edge technologies to identify and characterize psoriasis causal variants, which may lead to new psoriasis therapies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR065174-03
Application #
8865554
Study Section
Special Emphasis Panel (ZRG1-GGG-C (50))
Program Officer
Cibotti, Ricardo
Project Start
2013-07-19
Project End
2017-05-31
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
3
Fiscal Year
2015
Total Cost
$461,222
Indirect Cost
$170,230
Name
University of California San Francisco
Department
Dermatology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Ahn, Richard; Yan, Di; Chang, Hsin-Wen et al. (2018) RNA-seq and flow-cytometry of conventional, scalp, and palmoplantar psoriasis reveal shared and distinct molecular pathways. Sci Rep 8:11368
Yang, Eric J; Beck, Kristen M; Sanchez, Isabelle M et al. (2018) The impact of genital psoriasis on quality of life: a systematic review. Psoriasis (Auckl) 8:41-47
Chang, Hsin-Wen; Yan, Di; Singh, Rasnik et al. (2018) Alteration of the cutaneous microbiome in psoriasis and potential role in Th17 polarization. Microbiome 6:154
Yang, Eric J; Beck, Kristen M; Liao, Wilson (2018) Secukinumab in the treatment of psoriasis: patient selection and perspectives. Psoriasis (Auckl) 8:75-82
Yan, Di; Ahn, Richard; Leslie, Stephen et al. (2018) Clinical and Genetic Risk Factors Associated with Psoriatic Arthritis among Patients with Psoriasis. Dermatol Ther (Heidelb) 8:593-604
Beck, Kristen M; Yang, Eric J; Sanchez, Isabelle M et al. (2018) Treatment of Genital Psoriasis: A Systematic Review. Dermatol Ther (Heidelb) 8:509-525
Singh, Rasnik K; Chang, Hsin-Wen; Yan, Di et al. (2017) Influence of diet on the gut microbiome and implications for human health. J Transl Med 15:73
Jeon, Caleb; Yan, Di; Nakamura, Mio et al. (2017) Frequency and Management of Sleep Disturbance in Adults with Atopic Dermatitis: A Systematic Review. Dermatol Ther (Heidelb) 7:349-364
Yan, Di; Afifi, Ladan; Jeon, Caleb et al. (2017) The metabolomics of psoriatic disease. Psoriasis (Auckl) 7:1-15
Nosrati, Adi; Afifi, Ladan; Danesh, Melissa J et al. (2017) Dietary modifications in atopic dermatitis: patient-reported outcomes. J Dermatolog Treat 28:523-538

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