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- Table of Contents
Volume 2013 (2013), Article ID 613086, 13 pages
Genetics of Psoriasis and Pharmacogenetics of Biological Drugs
1Servicio de Farmacología Clínica, Hospital Universitario de la Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid and Instituto de Investigación Sanitaria Princesa (IP), 28006 Madrid, Spain
2Servicio de Dermatología, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria Princesa (IP), 28006 Madrid, Spain
3Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28006 Madrid, Spain
Received 3 May 2013; Accepted 19 July 2013
Academic Editor: Jozélio Freire De Carvalho
Copyright © 2013 Rocío Prieto-Pérez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Psoriasis is a chronic inflammatory disease of the skin. The causes of psoriasis are unknown, although family and twin studies have shown genetic factors to play a key role in its development. The many genes associated with psoriasis and the immune response include TNFα, IL23, and IL12. Advances in knowledge of the pathogenesis of psoriasis have enabled the development of new drugs that target cytokines (e.g., etanercept, adalimumab, and infliximab, which target TNFα, and ustekinumab, which targets the p40 subunit of IL23 and IL12). These drugs have improved the safety and efficacy of treatment in comparison with previous therapies. However, not all patients respond equally to treatment, possibly owing to interindividual genetic variability. In this review, we describe the genes associated with psoriasis and the immune response, the biological drugs used to treat chronic severe plaque psoriasis, new drugs in phase II and III trials, and current knowledge on the implications of pharmacogenomics in predicting response to these treatments.
Psoriasis is a chronic inflammatory disease of the skin which is characterized by the presence of erythematous scaly plaques . The prevalence of psoriasis is 2-3% worldwide . Psoriasis has a negative impact on the patient’s health and quality of life, is associated with serious medical comorbidities, and affects the quality of life of family members [3, 4].
While the exact cause of psoriasis is unknown, genetic and environmental factors play an important role in its development .
The environmental factors that appear to influence the course of and the susceptibility to psoriasis include chronic infections, stress, low humidity, drugs (beta-blockers, lithium, antimalarial agents, and interferon), smoking, and obesity .
The role of genetics in the pathogenesis of the disease is well documented in family and twin studies . Genetic factors have been well studied in candidate-driven gene-specific studies and in genomewide association studies (GWAS). The genome regions most strongly associated with the development of the disease are associated with the immune system. Interleukin 23 receptor (IL23R), IL12B, and the human leukocyte antigen Cw6 (HLA-Cw6) of the major histocompatibility complex have been strongly associated with psoriasis . Several studies have described the important role of single-nucleotide polymorphisms (SNPs) in the promoter region of the tumour necrosis factor gene (TNFα) .
Discovery of such consistent associations has enabled the development of new, more effective drugs with various targets, such as the p40 subunit of IL-12/23 (ustekinumab) and TNFα (infliximab, adalimumab, and etanercept) . Other biological drugs are in phase III trials and include those targeting IL17 (ixekizumab and secukinumab) and the IL17 receptor (anti-IL17R) (brodalumab), all of which are administered subcutaneously . Phase II clinical trials have demonstrated the efficacy and safety of inhibitors of Janus kinase (JAK) (tofacitinib) and phosphodiesterase 4 (PDE4) (apremilast) [3, 10–13], which are administered orally and may be less expensive than biological drugs.
Although these new drugs have improved tolerability and response to treatment, researchers must increase their knowledge of psoriasis in order to find additional options for oral treatment that are safer, more effective, and free of serious side effects. The influence of genetic polymorphisms on the response to biological drugs has been demonstrated in psoriasis [14, 15]; therefore, advances in pharmacogenetics would enable us to tailor treatment.
In this paper, we describe SNPs in genes associated with psoriasis and those associated with the immune response. We also review current knowledge on biological drugs and the impact of polymorphisms on the response to treatment of psoriasis.
2. Genetics of Psoriasis
The immune system plays a key role in psoriasis. Macrophage activation triggers an immune response that releases TNFα, IL1β, IL12, and IL23 . Psoriasis has been associated with genes involved in the immune response, namely, TNFα, IL12B, and IL23R . However, there has also been associated with genes not involved in immune pathways, such as the early differentiation keratinization markers involucrin (IVL) and small proline-rich protein (SPRR). These genes are involved in atypical epidermal cellular organization and differentiation  and are upregulated in psoriasis . A review of the genes and SNPs associated with psoriasis and the immune system is presented in Table 1.
T helper 17 (Th17) lymphocytes release IL22 and IL17 (Figure 1), which are highly expressed in psoriatic skin . These lymphocytes also produce IL2, IFNγ, and TNFα (Figure 1) . The proinflammatory cytokine TNFα plays a key role in the pathogenesis of psoriasis [19, 20]. Polymorphisms in the TNFα gene may alter the release of this cytokine in healthy subjects . A study performed in Caucasian patients with early-onset psoriasis showed a strong association with TNFα polymorphisms (rs1800629 and rs361525) (Table 1) . In this sense, a meta-analysis of 18 published case-control studies showed that when the GA + AA genotype was compared with the GG genotype, the risk of psoriasis increased for rs361525 and decreased for rs1800629 in TNFα gene (Table 1) . Kaluza et al. (2000) observed a decrease in TNFα production in peripheral blood mononuclear cells (47 cases and 43 controls) stimulated with mitogens in psoriatic patients who were A allele carriers of rs361525 (TNFα gene) compared to controls . Moreover, the authors found an association between the A allele in rs361525 in the TNFα gene and increased production of TNFα and early onset of psoriasis (Table 1) . A study performed in an Egyptian population (46 cases and 96 controls) revealed an association between SNPs in TNFα (GG allele in rs1800629) and psoriasis () (Table 1) . However, no significant differences were found in rs1800629 and rs361525 in this gene in Korean patients with psoriasis () and controls () .
Reich et al. (1999) analyzed rs361525 and rs1800629 in TNFα gene in patients with type I psoriasis (onset before 40 years; ) and type II psoriasis (onset beyond 40 years; ) and in healthy controls () (Table 1) . The results showed that the rs361525*A allele was more frequent and the rs1800629*A allele was less frequent in patients with type I psoriasis than in controls ( and , resp.), although no differences were found between these polymorphisms and type II psoriasis . Nedoszytko et al. (2007) analyzed 166 patients with psoriasis (134 with type I and 32 with type II) and 65 healthy controls  and found similar results to those of Reich et al. , with a higher prevalence of the A allele in rs361525 and lower frequency of the A allele in rs1800629 (TNFα gene) in Caucasian patients than in controls (Table 1) . A previous study performed in 99 Caucasian patients (64 with type I psoriasis and 35 with type II psoriasis) showed decreased frequency of the GG genotype and increased frequency of the GA genotype of rs361525 (TNFα gene) in patients with type I psoriasis compared with controls () (Table 1) . Therefore, the GG genotype in this SNP is associated with a lower risk of type I disease .
The inflammatory response in psoriasis is characterized by production of TNFα, as seen above, and production of IL1β (Figure 1) . In fact, this proinflammatory cytokine is overexpressed in psoriatic lesions . An in vitro study in peripheral blood mononuclear cells (231 cases and 345 controls) revealed an association between the CC genotype in rs16944 in the IL1β gene with increased production of IL1RA in response to lipopolysaccharide and IL10 and late-onset psoriasis (over 40 years) (Table 1) . Johansen et al. (2010) observed that expression of IL1β was decreased 4 days after treatment with adalimumab (a human monoclonal antibody against TNFα) .
IL23 regulates and stimulates the activation, differentiation, and survival of Th17 lymphocytes (Figure 1) [31, 32] and is highly expressed in psoriatic lesions . IL12 induces the production of IFNγ by Th1 (Figure 1) . The p40 subunit of IL23 and IL12 is the therapeutic target of ustekinumab, a highly effective biological drug, thus suggesting that IL12 and IL23 play an important role in psoriasis [33–35]. Polymorphisms in IL23R and IL12B have been associated with susceptibility to psoriasis in both Caucasian [36, 37] and Asian patients [38, 39].
In Caucasians, a GWAS (1446 cases and 1432 controls) showed the combination of rs3212227 and rs6887695 in IL12B as a risk haplotype in psoriasis (Table 1) . The authors also found an association between rs11209026 in the IL23R gene and psoriasis . Capon et al. (2007) performed a study of 318 cases and 288 controls and found significant differences between the groups for rs3212227 in IL12B () (Table 1) . A subsequent GWAS with 1810 cases and 2522 controls found an association between SNPs in IL23R (rs7530511 and rs11209026) and IL12B (rs6887695 and rs3212227) and predisposition to psoriasis in Caucasian patients (Table 1) . Smith et al. (2008) found similar results, associating these four SNPs with psoriasis , and Liu et al. (2008) identified an association between psoriasis and IL23R (rs11209026) and IL12B (rs6887695) (Table 1) . Hüffmeier et al. (2009) analyzed the same four SNPs in 1114 patients and found a strong association between rs11209026 (IL23R) and rs3212227 (IL12B) and psoriasis (Table 1) . Another recent study also associated rs11209026 in IL23R gene with psoriasis (Table 1) . Other IL12B and IL23R susceptibility loci identified in GWAS in Caucasian patients include rs2201841 and rs2066808 (IL23R) and rs2082412 and rs2546890 (IL12B) (Table 1) [44, 45].
The SNPs rs11209026 in IL23R gene and rs3212227 in IL12B gene have also been studied in Japanese patients (143 cases and 100 controls), and the A allele (rs3212227) was more frequent in patients with psoriasis than in healthy subjects (Table 1) . In a GWAS performed in a Thai cohort (206 cases and 144 controls), a marginally significant association was found between rs7530511 (IL23R gene) and psoriasis (Table 1) ; rs3212227 (IL23R) was also associated with the disease . However, the authors did not find an association with rs6887695 in IL12 gene . A GWAS performed in a Chinese population (217 cases and 288 controls) identified other polymorphisms associated with psoriasis in IL23R (A allele rs11465817-A allele rs1343152 haplotype) and IL12B (rs6887695) (Table 1). The SNP in IL12B was replicated with 578 cases and 1422 controls, and the authors found a positive association with psoriasis .
Nair et al. (2009) found strong associations between psoriasis and other genes: IL13, which is involved in Th2 lymphocyte modulation (rs20541); TNFα interacting protein 3 (TNFAIP3) (rs610604, rs6920220, rs10499194, and rs5029939 [47, 48]) and TNFAIP3 interacting protein (TNIP1), which regulate the activity of nuclear factor kappa B (NF-κB) ; IL1RN, which inhibits the activity of IL1; and HLA-C (rs12191877), which is involved in inflammatory responses  (Table 1). In addition, rs610604 (TNFAIP3) and rs17728338 (TNIP1), but not rs2066808 (IL23R) and rs397211 (IL1RN), were associated with psoriasis in a case-control study (Table 1) .
Ellinghaus et al. (2010) studied the TNF receptor-associated factor 3 interacting protein gene (TRAF3IP2) and identified an association between 2 SNPs and psoriasis (rs13210247 and rs33980500) (Table 1) . This association was confirmed by Hüffmeier et al. (2010) in 2040 German patients with psoriasis vulgaris . TRAF3IP2 encodes a protein that interacts with NF-κB/REL (v-rel reticuloendotheliosis viral oncogen) complexes and modulates IL17 pathways . In another GWAS, rs240993 (TRAF3IP2 gene) was associated with psoriasis in Caucasian patients (Table 1) . In the GWAS performed by Ellinghaus et al. (2010), also in Caucasian patients, an association was identified between rs12191877 (HLA-C) and rs2145623 (nuclear factor of kappa light polypeptide gene enhancer in B cells inhibitor gene, NF-κBIA) and psoriasis (Table 1) . Feng et al. (2009) performed a GWAS (1359 cases and 1400 controls) and showed rs12191877 (HLA-C) to be a high-risk SNP for psoriasis (Table 1) . The SNP rs8016947 in NF-κBIA was associated with psoriasis (GWAS) (Table 1) .
Ellinghaus et al. identified new susceptibility loci , such as rs4649203 in IL28RA and rs12720356 in the tyrosine kinase 2 gene (TYK2) (Table 1) . These authors also found an interaction between HLA-C and the endoplasmic reticulum aminopeptidase gene (ERAP1) (rs27524) . In a Chinese population, another SNP in ERAP1 (rs151823) was associated with early-onset psoriasis (less than 40 years) (GWAS, 8312 cases and 12919 controls) (Table 1) . In a case-control study performed in patients with psoriasis (; controls ), the SNPs rs8016947 (NF-κBIA), rs4649203 (IL28RA), rs12720356 (TYR2), and rs27524 (ERAP1) were not associated with the disease .
Activation of Th1 lymphocytes was associated with the production of cytokines such as IL2 and INFγ [3, 18] (Figure 1). In a Korean population (114 patients and 281 controls), the rs2069762 (G allele) in IL2 conferred a risk of psoriasis, mainly in the late-onset group (Table 1) . As for INFγ, rs2430561 has been associated with susceptibility to psoriasis (78 cases versus 74 controls) (Table 1) . Furthermore, production of IFNγ was increased by DEFB4 (defensin beta 4A), a microbiocidal and cytotoxic peptide . A significant association was found between rs2740091 and rs2737532 in DEFB4 and predisposition to psoriasis in Caucasian patients (498 cases and 577 controls) (Table 1) . IL18 also stimulates IFNγ production , and the presence of polymorphisms in the IL18 gene (rs187238) was associated with susceptibility to psoriasis in Japanese patients (Table 1) .
Th2 lymphocytes release IL4, IL6, IL10, and IL13  (Figure 1). A study performed in 114 psoriasis patients and 281 controls from Korea showed that rs2069762 (G allele) in IL2 conferred a risk of developing the disease, mainly in late-onset psoriasis (Table 1) . Moreover, the cytokines IL6 and IL10 seem to be important in the development of psoriasis . In an Egyptian population (46 cases and 96 controls), an association was established between psoriasis and SNPs in IL6 (CC genotype in rs1800795) and IL10 (GG genotype in rs1800896) (Table 1) . In addition, Craven et al. (2001) found differences in rs1800896 (IL10) genotype frequencies between patients with late-onset disease () and controls (Table 1) . However, results for the associations between rs1800896 in IL10 gene and psoriasis are controversial, since several studies did not find any differences between cases and controls for this SNP [27, 59]. IL13 is involved in the differentiation and maturation of B cells and differentiation and function of Th17 lymphocytes . Julia et al. (2012) found an association between rs20541 in IL13 and psoriasis (Table 1) . Moreover, the CCG haplotype of rs1800925-rs20541-rs848 in IL13 was associated with susceptibility to psoriasis in a study performed in 1446 cases and 1432 controls (Table 1) . In contrast, Duffin et al. (2009) found these associations with psoriatic arthritis, but not with psoriasis , and other authors found that rs20541 and rs1800925 in IL13 gene were involved in psoriatic arthritis but not in psoriasis .
Other cytokines and chemokines associated with psoriasis include IL19, IL20, IL15, and MCP1 (monocyte chemoattractant protein). Minor alleles of rs2243188 and rs2243158 in IL19 have a protective effect in patients with the disease (Table 1) . In a case-control study (340 cases and 199 controls), the G allele in rs1713239 (IL20) was associated with psoriasis in a Chinese population (Table 1) . Kingo et al. (2004) found an association between G allele carriers of rs2981572 (IL20) and predisposition to psoriasis in Caucasian patients (Table 1) . Polymorphisms in the IL20 receptor (IL20RA) have also been associated with psoriasis (Table 1) . Of note, the haplotype in IL19 and IL20 exhibited a susceptibility factor for the development of psoriasis . IL15 induces the activation of the Janus kinase/signal transducer transcription activation factor (JAK/STAT) pathway and may trigger an immune response in psoriatic lesions [57, 69]. Polymorphisms in IL15 (rs2857261, rs10519613, and rs1057972) have been associated with psoriasis in a Chinese population (Table 1) . However, in a Caucasian population, no clear association was found between rs1057972 and rs10519613 in IL15 gene and psoriasis .
MCP1 is a CC-type chemokine that plays a role in the recruitment of monocytes and T lymphocytes in inflammation . Wang et al. (2008) found high serum levels of MCP1 in patients with psoriasis compared with controls . The SNP rs10224611 (GG or AG genotype) in the MCP1 gene may confer susceptibility to psoriasis (507 cases and 530 controls) (Table 1) .
Other genes associated with psoriasis include signal transducer and activator of transcription 4 (STAT4), apoliprotein E (APOE), vitamin D receptor (VDR), and cytotoxic T lymphocyte-associated protein 4 (CTLA4). Zervou et al. (2009) found a weak association between the T allele in rs7574865 (STAT4) and predisposition to psoriasis (Table 1) . APOE may play a role in psoriasis by modifying the proliferation of mitogen-activated T lymphocytes and ensuring protection against some infections (Figure 1) . Other authors have reported the APOE-ε4 allele to be a risk factor for the development of severe form of psoriasis . In addition, 2 SNPs in the APOE gene (rs429358 and rs7412) have been associated with chronic plaque psoriasis and guttate psoriasis (Table 1) .
Several authors have demonstrated the role of VDR in the pathogenesis of psoriasis [76, 77]. Rucevic et al. (2009) described possible effects of VDR polymorphisms on the immune system, namely, immunomodulation, stimulation of cellular differentiation, and inhibition of proliferation . The TaqI polymorphism (allele T) in VDR was associated with familial psoriasis in a Turkish population . In addition, the A allele in rs451635 (VDR gene) was protective against susceptibility to nonfamilial psoriasis (Table 1) . In contrast, Zuel-Fakkar et al. (2011) did not find any association between the polymorphisms ApaI and TaqI in VDR and psoriasis .
CTLA4 is a protein that downregulates activation of T lymphocytes . The GG haplotype of rs3087243-rs231775 in CTLA4 has been associated with psoriasis, but the analysis of these SNPs individually revealed no statistically significant associations (Table 1) . Thus, in other studies, rs231775 in CTLA4 gene was not associated with the disease in Korean  or Caucasian  populations.
Moreover, in a recent review the authors have emphasized other SNPs in genes associated with psoriasis (Table 1) : interferon induced with helicase C domain 1 (IFIH1; rs17716942), late cornified envelope (LCE; rs4085613, rs4845454, rs1886734, rs4112788, rs6701216, and rs4112788), and ring finger protein 114 (RNF114; rs2235617 and rs495337). These genes have also been related with immune system (Table 1): IFIHI with response to viral infections, LCE with epidermal skin barrier function, and RNF114 with T-cell activation. Although, the SNP rs67011216 in LCE gene has been associated with psoriasis in a GWAS study of 223 patients with psoriasis (91 of them with psoriatic arthritis) , other authors did not find this association in patients with psoriatic arthritis ( cases and controls) . Previously, Zhang et al. (2009) have found an association between rs4112788 in LCE gene and psoriasis in a GWAS performed in Chinese population . A case-control study performed in patients with psoriatic arthritis has found this same association in Caucasian population .
In addition, Hébert et al. (2012) supported that the knowledge of risk genes for psoriasis may be useful to predict the response to treatment in patients with this disease .
In summary, the literature on the genes involved in immune system that participate in the pathogenesis of psoriasis indicates that IL23R, IL10, TNFα, IL12B, GBP6, IL6, IL13, TNFAIP3, TNIP1, IL1RN, HLA-C, NF-κBIA, APOE, VDR, IFNγ, IL2, IL4, IL15, TNFRSF1B, MCP1, CTLA4, DEFB4, STAT4, IL18, IL19, IL20, IL20RA, ERAP1, IL1B, TRAF3IP2, IL28RA, TYK2, IFIH1, LCE, and ZNF313 play an important role in the development of this disease.
3. Pharmacogenetics of Biological Drugs
3.1. Biological Drugs
The use of agents that block the action of TNFα (infliximab, etanercept, and adalimumab) has shown clear benefits in the treatment of patients with inflammatory diseases such as psoriasis . TNFα induces the production of proinflammatory cytokines such as IL1 and IL6 (Figure 1), which in turn limits leukocyte migration and expression of adhesion molecules by endothelial cells and leukocytes. Neutralization of the biological activity of TNFα leads to an overall reduction in inflammation. Although anti-TNFα therapy is safe and well tolerated, some adverse events have been reported .
Advances in knowledge of the metabolic pathways involved in the pathogenesis of psoriasis and related diseases have led to the search for new therapeutic targets and the development of new biological drugs . Such is the case of ustekinumab, a novel human immunoglobulin IgG1κ monoclonal antibody that binds strongly to the p40 subunit shared by IL12 and IL23 (Figure 1). This drug was designed to block the inflammatory cascade of Th1 and Th17 lymphocytes, since the altered behavior of keratinocytes in psoriasis probably results in deregulation of these pathways (Figure 1) . In general, ustekinumab was well tolerated .
As mentioned above, psoriasis is mediated by the Th1/Th17 response. New biological therapies—both anti-IL17 agents (ixekizumab and secukinumab) [91, 92] and anti-IL17R agents (brodalumab) —are being developed for the treatment of moderate-to-severe plaque psoriasis (Figure 1). Anti-IL17 drugs are now in phase III trials and may become new alternatives to ustekinumab and anti-TNF therapy . Findings for anti-IL17 and anti-IL17R drugs illustrate the importance of the role of IL17 in the pathogenesis of psoriasis [18, 94].
3.2. Other Treatments of Psoriasis in the Future
Biological drugs are well tolerated and improve the PASI-75 (Psoriasis Area and Severity Index reduction ≥75%) score at week 12 [88, 92, 93, 95, 96]. Their main disadvantages are that injectable administration may cause rejection in some patients. Orally administered alternatives—tofacitinib and apremilast—are being developed (Figure 1).
Tofacitinib is a small JAK1/3 inhibitor molecule that was developed to treat psoriasis and other inflammatory diseases (Figure 1) . The JAK family plays a key role in signal transduction from cytokine receptor in lymphocytes to STAT, which is involved in immune responses (Figure 1) [10, 98].
Apremilast is a PDE4 inhibitor that increases levels of cyclic adenosine monophosphate (cAMP) (Figure 1), which activates the protein kinase A and modulates the cytokines involved in the immune response of psoriasis (decreases TNFα, IL23, and IFNγ and increases IL10) . PDE4 inhibitors cause anti-inflammatory activities , such as modulation of the synthesis and release of cytokines and chemokines from immune system cells. Stimulation with TNFα and IL1β can release several mediators: IL8, eotaxin-1, macrophage inflammatory protein 1-α (MIP1α/CCL3), MCP1, and chemokine regulated on activation, normal T cells expressed and secreted (RANTES/CCL5) (Figure 1) . PDE4 inhibitors also suppress the production of inflammatory mediators by Th1 (IL2, IFNγ), Th2 (IL4), and macrophages (TNFα) but increase IL10 synthesis (Figure 1) . Phase II studies have shown an acceptable tolerability and safety profile . Phase III clinical trials of apremilast are ongoing.
Below, we review a selection of pharmacogenetics studies evaluating the efficacy and safety profile of biological drugs.
Only two studies have reported the effect of polymorphisms on the response to drugs used to treat psoriasis. In the first, Tejasvi et al. (2012) evaluated associations between two SNPs in TNFAIP3 (rs2230926 and rs610604) and the response to TNF therapy in a cohort from Michigan ( patients) and a cohort from Toronto ( patients), both comprising patients with psoriasis and psoriatic arthritis . The SNP rs610604 in TNFAIP3 gene had previously been associated with predisposition to psoriasis and psoriatic arthritis . The authors showed a favorable response to anti-TNF drugs (etanercept, infliximab, and adalimumab) and etanercept in carriers of the G allele of rs610604 in TNFAIP3 in their Michigan cohort (OR = 1.5 and OR = 1.64, resp.) (Table 1). The T-G haplotype of rs2230926-rs610604 (TNFAIP3) was also associated with the response to anti-TNF in this cohort (Table 1). The authors did not find significant differences between rs610604 in TNFAIP3 gene and adalimumab or infliximab analyzed individually or between the SNPs studied and the response to anti-TNF drugs in the Toronto cohort. The study presented the differences in the results between the two cohorts, stating that the reduced size of the Toronto cohort was a limitation of the study .
The other study was performed in 80 Greek psoriatic patients (43 women and 37 men) treated with adalimumab, infliximab, and etanercept. The authors analyzed five polymorphisms in three genes: TNFα (rs361525, rs1800629, rs1799724), TNFRSF1A (rs767455), and TNFRSF1B (rs1061622) . Genotyping data revealed an association with response to treatment after 6 months; the patients who achieved a reduction in the PASI score >75% were classified as responders and those with a reduction of ≤50% were classified as nonresponders .
Vasilopoulos et al.  found an association between a polymorphism in TNFα (CC genotype for rs1799724; ) and in TNFRSF1B (TT genotype for rs1061622; ) and a better response to anti-TNF treatment (Table 1). The statistical analysis of each agent separately revealed an association between these genotypes and a positive response to etanercept after 6 months of therapy ( and , resp.). However, these SNPs were not associated with a good response to infliximab or adalimumab. The authors explained these differences by the mode of action of biological drugs (etanercept binds to soluble TNFα, and adalimumab and infliximab bind to transmembrane TNFα). The tests of association between the haplotype rs1799724-rs1061622 (TNFα-TNFRSF1B genes) and the response to anti-TNF drugs showed significant differences () for CT, CG, and TG. It is important to note that Vasilopoulos et al. excluded rs361525 (TNFα), rs1800629 (TNFα), and rs767455 (TNFRSF1A) from the statistical analysis because of a deviation from the Hardy-Weinberg equilibrium . Nevertheless, other authors have reported that a deviation in Hardy-Weinberg equilibrium indicates a real association between genotype and disease .
Before treatment of psoriasis can be personalized, more studies should investigate the polymorphisms presented in this review, as well as other polymorphisms and their possible association with drugs used in the treatment of psoriasis. One recent review reported a role for SNPs in psoriasis-related autoimmune diseases (psoriatic arthritis, rheumatoid arthritis, and Crohn’s disease) that could play a role in the response to anti-TNF drugs .
Our review focused only on those polymorphisms associated with the immune system and psoriasis. Current knowledge is limited, and many other SNPs not associated with immune system may be implicated in the development of psoriasis. Larger studies are necessary to obtain a better understanding of this complex disease, the pathways involved in its pathogenesis, and its pharmacogenetic implications in order to develop more effective and safer drugs that can be administered on a personalized basis.
Conflict of Interests
Esteban Daudén has the following conflict of interests: Advisory Board member, consultant, grants, research support, participation in clinical trials, honorarium for speaking, research support, with the following pharmaceutical companies: AbbVie (Abbott), Amgen, Astellas, Centocor Ortho Biotech Inc., Galderma, Glaxo, Janssen-Cilag, Leo Pharma, Novartis, Pfizer, MSD, and Celgene.
The authors are grateful to Instituto de Salud Carlos III (FIS PI10/01740) and Fundación Teófilo Hernando for funding this study and to Mr. Thomas O’Boyle for editorial assistance.
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