A genome-wide association study suggests that MAPK14 is associated with diabetic foot ulcers.

BACKGROUND: Diabetic foot ulcers (DFUs) are a devastating complication of diabetes. OBJECTIVES: To identify genetic contributors to the development of DFUs in the presence of peripheral neuropathy in a Scottish cohort with diabetes using a genome-wide association study. METHODS: A genome-wide association approach was applied. A case was defined as a person with diabetes (type 1 or type 2) who had ever had a foot ulcer (current or previous) in at least one foot, as well as a positive monofilament test result (i.e. evidence of peripheral neuropathy) recorded in their longitudinal e-health records. A control was defined as an individual with diabetes (type 1 or type 2) who has never been recorded as having a foot ulcer in either foot but who had a positive monofilament test result recorded in either foot in their longitudinal e-health records. RESULTS: There were 699 DFU cases and 2695 controls in the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) dataset. The single-nucleotide polymorphism rs80028505 (Chr6p21·31) in MAPK14 reached genome-wide significance with a lowest P-value of 2·45 × 10-8 . The narrow-sense heritability of this phenotype is 0·06. CONCLUSIONS: We suggest that MAPK14 is associated with DFUs.

Association of Toll-like receptor 4 (TLR4) with chronic plaque type psoriasis and psoriatic arthritis.

Family studies have provided overwhelming evidence for an underlying genetic component to psoriasis. Toll-like receptors (TLRs) are key transmembrane proteins in both the innate and adaptive immune responses which are known to be integral processes in psoriasis. Recent functional studies support this notion having suggested a role for TLR4 in the pathogenesis of psoriasis. Furthermore a missense polymorphism in the TLR4 gene has been associated with a number of autoimmune conditions, including Crohn diseases, making TLR4 a viable candidate gene for investigation. The aim of this study was to investigate polymorphisms across the TLR4 region with a high-density single nucleotide polymorphism (SNP) panel in a large cohort of patients with chronic plaque type psoriasis. Twenty SNPs were successfully genotyped using Sequenom iPLEX Gold platform in 2826 UK chronic plaque type psoriasis patients including subgroup data on presence of confirmed psoriatic arthritis (n = 1839) and early-onset psoriasis (n = 1466) was available. Allele frequencies for psoriasis patients were compared against imputed Wellcome Trust Case Control Consortium controls (n = 4861). Significant association was observed between a missense variant rs4986790 of TLR4 (Asp229Gly) and plaque type psoriasis (p = 2 × 10(-4)) which was also notable in those with psoriatic arthritis (p = 2 × 10(-4)) and early-onset psoriasis (p = 8 × 10(-4)). We present data suggestive of an association between a functional variant and an intronic variant of TLR4 and chronic plaque type psoriasis and psoriatic arthritis. However, validation of this association in independent cohorts will be necessary.

Identification of loci associated with late-onset psoriasis using dense genotyping of immune-related regions.

BACKGROUND: Chronic plaque psoriasis can be subdivided into two groups according to the age of onset: type 1 (early onset, before 40 years) and type 2 (late onset, at or beyond 40 years). So far, 36 genetic loci have been associated with early-onset psoriasis in genome-wide association studies of white populations, while few studies have investigated genetic susceptibility to late-onset psoriasis. OBJECTIVES: To characterize the genetics underpinning late-onset psoriasis. METHODS: We genotyped 543 cases of late-onset psoriasis and 4373 healthy controls using the Immunochip array, a dense genotyping chip containing single-nucleotide polymorphisms previously associated with autoimmune diseases. Imputation using SNP2HLA and stepwise logistic regression analysis was performed for markers spanning the human leucocyte antigen gene region. RESULTS: Two loci (HLA-C and IL12B) previously associated with early-onset psoriasis showed significant association at a genome-wide threshold in the current study (P < 5 × 10(-8)). Six more loci (TRAF3IP2, IL23R, RNF114, IFIH1, IL23A and HLA-A) showed study-wide significant association (P < 2·3 × 10(-5); calculated using Genetic type 1 error calculator). Additionally, we identified an association at IL1R1 on chromosome 2q13, which is not associated with early-onset disease. CONCLUSIONS: This is the largest study to date of genetic loci in late-onset psoriasis, and demonstrates the overlap that exists with early-onset psoriasis. It also suggests that some loci are associated exclusively with late-onset psoriasis.

Genetic susceptibility to psoriasis and psoriatic arthritis: implications for therapy.

The era of genome-wide association studies has revolutionized the search for genetic susceptibility loci in complex genetic conditions such as psoriasis. There are currently 16 loci with confirmed evidence for association with psoriasis susceptibility but there is the potential for more to be discovered as the genetic heritability of the disease has not yet been fully explained. Many of the associated loci overlap with those for psoriatic arthritis. In contrast to psoriasis susceptibility, few studies have been performed to identify predictors of drug response in psoriasis. As large-scale collaborations and registries for psoriasis and psoriatic arthritis are established, it is likely that a genome-wide approach may be used as a more effective method of searching for genetic predictors of treatment response. However, candidate gene studies will still have a role; for example, it is likely that some disease susceptibility genes will also be markers of treatment response, based on evidence from other diseases. This review summarizes recent advances in investigating the role genetics plays in psoriasis susceptibility and contrasts these to advances made in psoriatic arthritis. Further, it describes the genetics of treatment response in the two diseases and indicates how susceptibility loci could be used to identify drug response in the future.