Targeting the schizophrenia genome: a fast track strategy from GWAS to clinic.

The Psychiatric Genomics Consortium-Schizophrenia Workgroup (PGC-SCZ) has recently published a genomewide association study (GWAS) identifying >100 genetic loci, encompassing a total of 341 protein-coding genes, attaining genomewide significance for susceptibility to schizophrenia. Given the extremely long time (12-15 years) and expense (>$1 billion) associated with the development of novel drug targets, repurposing of drugs with known and validated targets may be the most expeditious path toward deriving clinical utility from these GWAS findings. In the present study, we examined all genes within loci implicated by the PGC-SCZ GWAS against databases of targets of both approved and registered pharmaceutical compounds. We identified 20 potential schizophrenia susceptibility genes that encode proteins that are the targets of approved drugs. Of these, we prioritized genes/targets that are of clear neuropsychiatric interest and that are also sole members of the linkage disequilibrium block surrounding a PGC-SCZ GWAS hit. In addition to DRD2, 5 genes meet these criteria: CACNA1C, CACNB2, CACNA1I, GRIN2A and HCN1. An additional 20 genes coding for proteins that are the targets of drugs in registered clinical trials, but without approved indications, were also identified. Although considerable work is still required to fully explicate the biological implications of the PGC-SCZ GWAS results, pathways related to these known, druggable targets may represent a promising starting point.

Introduction

After years of effort from hundreds of investigators and tens of thousands of DNA samples collected worldwide, the Psychiatric Genomics Consortium–Schizophrenia Workgroup (PGC–SCZ) has recently published a genomewide association study (GWAS), which established a list of >100 genetic loci conveying risk for the disorder at conventionally accepted standards of statistical significance.[1] Although representing a watershed event in psychiatric research, the complexity revealed by the PGC–SCZ results will require considerable further analysis to yield clinically applicable insights. GWAS hits, by their nature, involve broad genomic loci defined by linkage disequilibrium (LD) structure, often containing multiple genes, and do not provide mechanistic insight without further experimentation.[2] It is noteworthy that relatively few loci from the PGC–SCZ study implicated specific amino acid changes or clearly overlapped gene expression quantitative trait loci, such that many hundreds of genes were potentially implicated by these results.

A primary aim of GWAS is to identify potential targets for pharmaceutical interventions, and the ultimate success of the PGC–SCZ efforts will be judged, in part, on new treatment development. Proof of principle for a potential role of GWAS in target identification was established by an early study demonstrating an association between levels of low-density lipoprotein cholesterol and single-nucleotide polymorphisms (SNPs) within HMGCR, a gene that produces the rate-limiting enzyme for cholesterol synthesis.[3] This enzyme is targeted for inhibition by the statin class of drugs; however, it must be noted that this proof of principle is retrospective, insofar as statins were developed on the basis of biological knowledge developed many years before this association.[4] Similarly, GWAS for rheumatoid arthritis has yielded a genomewide significant hit in IL6R, which is the target for tocilizumab, a monoclonal antibody previously approved by the Food and Drug Administration (FDA) for treatment of rheumatoid arthritis.[5] In this context, it is notable that one PGC–SCZ locus included DRD2, encoding the dopamine D2 receptor that is targeted by all effective antipsychotic medications.[6] Thus, it is reasonable to ask whether any of the other genes at schizophrenia GWAS loci may serve as a target for future development of novel antipsychotic pharmaceuticals.

Given the large number of genes within loci implicated by the PGC–SCZ results, one way to prioritize the search space is to identify those genes which encode proteins that are known to be druggable. On the basis of biochemical principles of solubility and lipophilicity (the so-called ‘rule of five',[7]) it was originally estimated that as many as 15% of all genes in the human genome may produce proteins that can be bound by orally bioavailable compounds.[8, 9] Recent estimates, based on technical advances and modifications of the rule of five, suggest that the potential for druggability may extend to >7000 genes.[10] In practice, however, the process of validating these targets with compounds that are able to transition from preclinical models to clinical trials remains a major bottleneck in the process of drug development.[11] Consequently, it has been suggested that more rapid utility from GWAS results may be obtained by the identification of drug/target combinations that have already been validated by preclinical work and have progressed to human clinical trials and/or FDA approval.[12]

Our approach here is based on the notion that the repurposing of approved drugs, or those already in trials for other indications, is the fastest route to clinic.[13] Such drugs already have known safety profiles and pharmacokinetic data, even if they have failed in generating robust efficacy signal for their original indication.[14] This approach has been endorsed by recent initiatives of the National Institutes of Health[15] and the National Institute of Mental Health[16] and has been an increasing trend in industry as well.[17] To date, a number of existing compounds have been examined for possible repurposing in schizophrenia, including anti-inflammatory drugs, anti-epileptic drugs and several hormones,[18] based on pathophysiologic hypotheses with varying levels of empirical support. With the publication of large-scale GWAS data for schizophrenia, it is now timely to utilize this genomic understanding for purposes of drug repositioning.

In the present study, we comprehensively examined all genes at PGC–SCZ GWAS loci against databases of drug targets. The most complete recent survey identified 1030 unique genes (~5% of all protein-coding genes in the genome) serving as targets of drugs that are either approved or in registered clinical trials;[19] this list was compared with the PGC–SCZ list of potential schizophrenia candidate genes to determine the degree of overlap. Then, we characterized the available compound(s) for each druggable candidate gene in terms of mechanism of action and original indication. For this analysis, we supplemented the list of druggable targets with additional sources of publicly available information on registered drug trials and approvals.

Materials and methods

Candidate genes

Input for all analyses was derived from the results of the PGC–SCZ study;[1] a total of 341 protein-coding RefSeq genes as listed in supplementary table 3 of that publication were considered. Briefly, association of ~9.5 million genetic variants to schizophrenia was examined across 46 case–control cohorts of European ancestry, 3 case–control cohorts of east Asian ancestry and 3 cohorts of trios (two parents and one affected offspring) of European ancestry. SNPs crossing a threshold P<10-6 in meta-analysis of these discovery cohorts (comprising >83 000 subjects) were then tested in a replication cohort of ~1500 cases and ~66 000 controls of primarily Icelandic ancestry from deCODE. Results were then combined across all ~150 000 subjects, resulting in 128 LD-independent SNPs meeting standard criteria for genomewide significance (P⩽5 × 10-8). An associated region was defined by all SNPs in moderately high LD (r2⩾0.6) around each of these 128 top GWAS hits; overlapping or neighboring (within 250 kb) regions were merged, resulting in 108 independent loci. All protein-coding genes contained within these loci, or starting within 20 kb of these loci, were considered as candidate genes for purposes of the present study. In addition, for loci containing no genes, the nearest gene within 500 kb was considered a candidate.

Identification of drug targets

The primary source of confirmed druggable targets was the curated list of 1030 genes recently published by Rask-Anderson et al.[19] This list was developed with publicly available resources including: the DrugBank[20] database (http://www.drugbank.ca); the Drugs@FDA database (http://www.accessdata.fda.gov/scripts/cder/drugsatfda/); and the Drugs in Clinical Trials Database (http://www.centerwatch.com). As described by Rask-Anderson et al.,[19] considerable manual curation is required due to lack of uniform nomenclature and data organization available from these primary datasources. Of the 1030 druggable genes, 555 unique genes were identified that serve as targets of approved pharmaceuticals, which they refer to as ‘established targets.' An additional 475 genes were targeted by compounds in registered clinical trials, referred to as ‘novel targets.' The full list of 1030 drug targets represents 5.06% of all genes (based on the GENCODE[21] version 19, July 2013 freeze, which estimates the total number of protein-coding genes in the human genome at 20,345).

Characterization of drug mechanism of action and indication

To characterize all possible approved and in-trial drugs, we supplemented the list of Rask-Anderson et al.,[19] which was based on an April 2013 data freeze, with three additional sources of information: the proprietary CiteLine database (accessed 1 June 2014); the publicly available DrugBank database[20] (accessed 20 July 2014); and the Drug-Gene Interaction database[10] (accessed 20 July 2014). Gene products were only considered to be true drug targets if direct binding had been demonstrated; indirect effects of up- or down-regulation were not included.

Results

Of the 341 genes on the PGC list, 27 (7.92%) are drug targets on the Rask-Anderson list. As described in the methods, we supplemented the listings from Rask-Anderson[19] with updated information from three additional databases, which increased the number of validated drug targets to 40 (11.7% of all candidate genes derived from the PGC–SCZ GWAS). In the absence of mechanistic understanding of the role of GWAS-derived genetic variants in schizophrenia pathophysiology, this relatively large percentage provides preliminary ground for optimism that one or more of these targets may yield an effective treatment.

Next, we sought to characterize drugs targeting genes derived from the PGC–SCZ in terms of FDA status, mechanism of action and primary indication, in order to identify their potential for repurposing. As displayed in Table 1, half of these genes (n=20) encode proteins that are the targets of approved drugs (note that some approvals are from Europe rather than the FDA). Given that we do not know whether specific GWAS-derived variants have upward or downward effects on gene function, it is notable that several of these targets have both agonist and antagonist drugs on the market or under investigation.

Table 1

PGC-SCZ genes that produce proteins which are targets of compounds with approved indications

Gene	Mechanism	Current indications
CA14	Carbonic anhydrase inhibitor	Glaucoma, diuretic, epilepsy
CACNA1C/CACNB2a	L-type calcium channel antagonist L-type calcium channel activator	Hypertension, angina, irritable bowel syndrome Arrhythmia (Ibutilide)
CACNA1I	T-type calcium channel antagonist	Epilepsy
CHRM4	Muscarinic receptor antagonist	Gastrointestinal disease, incontinence
CHRNA3/CHRNB4a	Nicotinic receptor partial agonist Nicotinic receptor antagonist	Smoking cessation Hypertension, smoking cessation
DRD2	Dopamine receptor antagonist	Schizophrenia, bipolar disorder, nausea
	Dopamine receptor agonist	Parkinson's disease
GRIA1	AMPA receptor antagonist	Epilepsy, anesthesia
	AMPA receptor agonist	Cognitive enhancementb
GRIN2A	NMDA receptor antagonist	Epilepsy, Alzheimer's disease
HCN1	Sodium channel antagonist	Anginab
NISCH	Imidazoline I1 receptor agonist	Hypertensionb
SLC12A4	Potassium/chloride transporter inhibitor	Diuretic (congestive heart failure)
CYP17A1	17,20 lyase inhibitor	Prostate cancer
DPP4	Dipeptidyl peptidase 4 inhibitor	Type 2 diabetes
F2	Heparin/thrombin stimulant	Hemorrhage, thrombosis
FURIN	TGF-β pro-protein convertase inhibitor	Idiopathic pulmonary fibrosisb
MAPK3	MAP kinase inhibitor	Acute promyelocytic leukemia
PTGIS	Prostacyclin synthase inhibitor Prostacyclin synthase inducer	Analgesia (non-steroidal anti-inflammatory)c Hypertension
SERPING1	Complement factor 1 inhibitor	Hereditary angioedemab

Abbreviations: MAP, mitogen-activated protein; NMDA, N-methyl-D-aspartate; TGF, transforming growth factor.

Boldface represents genes that are sole members of an LD block of a PGC-SCZ genonewide association study (GWAS) hit. Underline represents gene that is the closest gene (though outside the linkage disequilibrium (LD) block) for a PGC-SCZ GWAS hit.

Both genes encode component subunits of the same receptor/channel.

Compound(s) for this indication approved in Europe but not US.

Owing to side effects, drug is no longer approved.

In the table, gene targets that are more likely to be relevant to schizophrenia pathophysiology are listed above the thin line. Likelihood of relevance is defined by either of the following characteristics: the gene is targeted by a drug with existing neuropsychiatric indications; or it encodes a protein that is constitutive of a neurotransmitter receptor, ion channel or ion transporter. Also indicated in the table are genes that are sole members of the LD block encompassing a PGC–SCZ GWAS hit (cf. supplementary table 3 in the PGC–SCZ paper[1]). Such genes are arguably more likely to be relevant to schizophrenia pathophysiology than other GWAS-nominated genes, given that many of the significant LD blocks in the PGC–SCZ paper contain multiple genes (up to a maximum of 26 genes at a single locus).

In addition to DRD2, five genes are noteworthy insofar as they are the sole genes within an LD block and are likely to be relevant to neuropsychiatric pathophysiology: CACNA1C, CACNB2, CACNA1I, GRIN2A and HCN1. These might be considered the ‘low-hanging fruit' that are worthy of the most intensive immediate efforts for further research. Arguably, GRIA1 could be added to this list, as it is the nearest gene to an intergenic signal in the PGC–SCZ GWAS. Drugs targeting the protein products of these genes will be considered in greater detail in the discussion section below.

An additional 20 genes without approved indications, but which are the target of drugs that are currently in registered clinical trials appears in Table 2. (Note that NISCH appears in both Tables 1 and 2, with approved agonists and in-trial antagonists.) As in Table 1, targets with neuropsychiatric relevance are listed above the thin line, and genes that are lone members of a GWAS-derived LD block are highlighted. Intriguingly, one gene in Table 2 that meets both of these criteria is GRM3, encoding the metabotropic 3 glutamate receptor. Agonism at this receptor has been the focus of an initially promising drug development effort,[22] although subsequent large-scale trials were not successful.[23, 24, 25] An antagonist of GRM3 is also the subject of a phase 2 clinical trial for the treatment of depression (NCT01457677). Two other genes targeted by drugs in clinical trials, which are notable for relevance and likelihood, are ATP2A2 and PRKD1. As an adeno-associated virus-1-based gene therapy, mydicar (targeting ATP2A2) may be unwieldy for testing in schizophrenia.[26] Bryostatin is a partial agonist at multiple protein kinase isoforms (including protein kinase D, the product of PRKD1), which is being tested for its antineoplastic properties.[27] Notably, protein kinase D modulates the E-cadherin/β-catenin pathway, which is critical for synaptic plasticity.[28] Although a repurposing of bryostatin may be premature, especially given limited understanding of its pharmacokinetics, this represents a promising avenue for further study.

Table 2

PGC-SCZ genes that produce proteins which are targets of compounds in clinical trials

Gene	Mechanism	Primary indications
APH1A	Gamma secretase inhibitor	Alzheimer's disease
ATP2A2	Na+/K+ ATPase inhibition	Heart failure
GFRA3	Neurotrophic growth factor/RET receptor agonist	Neuropathic pain
GRM3	Metabotropic glutamate receptor 3 agonist Metabotropic glutamate receptor 3 antagonist	Schizophrenia Depression
NISCH	Imidazoline I1 receptor antagonist	Peripheral neuropathy
PRKD1	Serine/threonine protein kinase activator	Alzheimer's, cancers (multiple)
AKT3	Inhibitor of Akt phosphorylation	Cancers (multiple)
CD14	Monoclonal antibody	Immunosuppressant
CDC25C	Synthetic peptide G2 checkpoint abrogator	Cancer (mesothelioma)
CLU	Antisense inhibitor of clusterin	Cancer (lung, breast, prostate)
CYP26B1	Retinoic acid hydroxylase inhibitor	Acne, psoriasis
DPYD	Inhibitor of dihydropyrimidine dehydrogenase	Cancer (solid)
EGR1	Transcription factor DNA-decoy (EGR1 inhibitor)	Post-surgical pain
EPHX2	Epoxide hydrolase inhibitor	Hypertension, COPD
HSPD1	Synthetic peptide (chaperonin function)	Type 1 diabetes
HSPE1	Recombinant heat shock protein (chaperonin function)	Systemic lupus erythematosus
LCAT	Recombinant lecithin cholesterol acyltransferase	Atherosclerosis
LRP1	Transcytosis of the low-density lipoprotein receptor-related protein (used to deliver taxane across blood-brain barrier)	Cancer (brain)
MMP16	MMP inhibitor (angiogenesis inhibitor)	Cancer (lung, breast)
SMG6	Telomerase inhibitor	Cancer (multiple)
TNFRSF13C	BAFF receptor radioligand BAFF receptor monoclonal antibody	Myeloma/lymphoma Immunosuppressant

Abbreviations: BAFF, B cell-activating factor; COPD, chronic obstructive pulmonary disease.

Boldface represents genes that are sole members of an linkage disequilibrium (LD) block of a PGC-SCZ genomewide association study (GWAS) hit.

Discussion

Despite the unparalleled success of GWAS as a method for rapidly advancing knowledge,[29] questions remain about the potential clinical utility of GWAS findings.[30] Given the perplexing diversity of findings presented by the PGC–SCZ GWAS, it may seem reasonable to extend similar skepticism to the prospect of translating these results to the clinic. However, our results demonstrate: (1) that the PGC-SCZ results are enriched for validated targets of both approved and registered pharmaceutical compounds; and (2) that amongst these targets, there are several examples of ‘low-hanging fruit'—genes that are plausibly connected to schizophrenia pathophysiology, and are relatively likely to be influenced by the SNPs identified by the PGC–SCZ GWAS. Of course, one of the genes meeting criteria for ‘low-hanging fruit' is DRD2, which is already well known in the context of schizophrenia treatment. In the paragraphs below, we will examine each of the other top targets in further detail. In addition, in Table 3, we present a summary of clinical trials in schizophrenia with agents that bind to targets in Tables 1 and 2.

Table 3

Results of schizophrenia clinical trials for targets listed in Tables 1 and 2

Gene	Drug	Mechanism	Mode	Results
CACNA1C/CACNB2	Verapamil Verapamil Nilvadipine Nifedipine Nifedipine	Antagonist Antagonist Antagonist Antagonist Antagonist	Adjunctive Adjunctive Adjunctive Adjunctive Adjunctive	No effects on symptoms in chronic patients[58] Improved positive Sx in acute patients[59] Improved negative Sx/no change in positive Sx[60] No effects on symptoms in chronic patients[61] Improved cognition in patients with tardive dyskinesia[62]
CACNA1I	MK-8998	Antagonist	Monotherapy	Failed trial (active comparator did not separate from placebo)[40]
CHRM4	Xanomeline	Agonist	Monotherapy	Improved positive and negative symptoms[63]
CHRNA3/CHRNB4	Varenicline Mecamylamine	Partial agonist Antagonist	Adjunctive Adjunctive	No effects observed in meta-analysis of 7 RCTs[64] Cognitive deterioration;[65] no effect on cognition[66]
GRIA1	Piracetam	Allosteric+ve	Adjunctive	Improved PANSS compared with haldol+placebo[41]
	CX-516	Allosteric+ve	Adjunctive	No effect on symptoms or cognition[42]
GRIN2A	Various Memantine	Agonist Antagonist	Adjunctive Adjunctive	Mixed results; see review de Bartolomeis et al.[41] and meta-analysis[44] improved negative Sx;[46] improved positive and negative Sx;[47] no effect on any Sx[48]
GRM3	LY2140023	Agonist	Monotherapy	Successful proof-of-concept trial;[22] multiple unsuccessful large trials[23, 24, 25]

Abbreviations: +ve, positive modulator; PANSS, Positive and Negative Syndrome Scale; RCT, randomized controlled trial; Sx, symptoms.

Multiple compounds that inhibit voltage-gated L-type calcium channels (VLCC), for which CACNA1C and CACNB2 encode constituent proteins, have been approved for cardiovascular indications.[31] A few VLCC antagonists have been examined in clinical trials in schizophrenia with mixed results; however, these studies have been small, often poorly controlled, and most commonly involved verapamil, a P-glycoprotein substrate with relatively poor central nervous system permeability.[32] Results of placebo-controlled trials in schizophrenia are summarized in Table 3; in each of these trials, VLCC antagonists were administered as adjunctive medicaton alongside stable treatment with conventional antipsychotics. Given the converging evidence of two independent GWAS hits targeting VLCC components, as well as the central role of calcium channels in regulating neurotransmitter release and neuronal gene transcription, revisiting this class of agents (especially dihydropyridines such as nimodipine, nifedipine and isradipine) should be a high priority for the field. Although there is active investigation of calcium channel blockers in bipolar disorder,[33] there is currently just one registered clinical trial of a calcium channel blocker in schizophrenia, testing the role of isradipine as a potential adjunctive treatment for cognitive dysfunction (NCT01658150). At the same time, caution must be exercised regarding unavoidable cardiovascular effects of calcium channel blockers, given the predominance of CACNA1C VLCCs in the periphery relative to the central nervous system.[34]

One recent study has suggested that the CACNA1C risk allele downregulates expression of the gene,[35] raising the possibility that antipsychotic effect might require calcium channel activation, rather than inhibition. Ibutilide, a compound approved for atrial fibrillation, is thought to act via calcium channel activation, insofar as it is blocked in vitro by nifedipine.[36] However, its relative activity at the VLCC in vivo is controversial.[37] Determination of the direction of allelic effects at CACNA1C is an urgent priority; in contrast to the post-mortem gene expression study mentioned immediately above,[35] a recent investigation of induced neurons derived from human fibroblasts of subjects with varying CACNA1C genotypes reported that the risk allele results in higher levels of gene expression.[38]

An argument for urgency can also be made for the T-type calcium channel (CACNA1I), which is targeted by the FDA-approved anticonvulsant zonisamide. Unfortunately, zonisamide has been found to have potential psychotogenic and other deleterious cognitive and psychiatric effects,[39] suggesting the possibility that agonism of T-type channels may be a more advantageous approach. However, to our knowledge, no activators of this channel are approved or are in clinical trials. A novel T-type calcium channel antagonist, MK-8998, was the subject of a recently reported failed trial, in which the active comparator (olanzapine) did not separate from placebo.[40] Given that no conclusions can be drawn from such a trial, additional testing of this compound is warranted.

The potential association of schizophrenia with variants at GRIN2A (encoding an N-methyl-D-aspartate (NMDA) receptor subunit) is consistent with the field's longstanding interest in the psychotomimetic properties of NMDA antagonists. Direct and indirect NMDA agonists have been widely studied as potential adjunctive treatments, primarily to ameliorate cognitive deficits and negative symptoms (for example, avolition, alogia and affective flattening) associated with schizophrenia, with mixed results (see review de Bartolomeis et al.[41]). Curiously, large multicenter controlled trials[42, 43] have been generally negative for NMDA glycine-site agonists such as glycine, D-serine and D-cycloserine, yet meta-analyses have indicated statistically significant effects of the class as a whole, especially sarcosine.[44] Initial promising results for the novel glycine transport inhibitor, bitopertin[45] have not been replicated in large-scale phase III trials. It is possible that this conflicting pattern of results may be indicative of subgroups of patients, perhaps genetically defined, with varying response to NMDA agents. However, this speculative pharmacogenetic hypothesis would require rigorous comparison of patients with and without the PGC–SCZ GRIN2A risk allele.

Counterintuitively, the NMDA antagonist memantine (approved for use in Alzheimer's) may have therapeutic properties at low doses due to its rapid off-set of binding and voltage dependence. Clinical trials in schizophrenia have demonstrated mixed results, with some evidence of improvement of negative symptoms.[46, 47, 48]

Glutamate transmission is also implicated by the potential association with GRIA1, which encodes a subunit of the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid-type ionotropic glutamate receptor. It has been demonstrated that this receptor is critical to short-term habituation, which is deficient in gria1 knockout mice; these knockouts demonstrate a form of aberrant salience proposed as a model for delusional symptomatology in schizophrenia.[49] Consequently, allosteric modulators that serve to activate α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors, including ampakines and members of the racetam family, may have potential for the treatment of schizophrenia. One small study conducted in Iran has provided preliminary evidence for greater reduction of Positive and Negative Syndrome Scale scores in patients treated with piracetam in combination with haloperidol, compared with haloperidol plus placebo.[50] However, another study failed to show any efficacy for a novel ampakine (CX516) as an adjunctive agent for either cognitive deficits or clinical symptoms of schizophrenia.[51] Notably, aniracetam is approved in Europe for the treatment of cognitive deficits associated with Alzheimer's disorder.

HCN1 encodes a voltage-gated potassium/sodium channel, strongly expressed in the dendrites of cortical and hippocampal pyramidal cells.[52] This channel has been implicated as a pacemaker regulating working memory function, making it an attractive target for schizophrenia treatment.[53] However, the HCN1 antagonist ivabradine, approved in Europe for angina, does not cross the blood–brain barrier. Nevertheless, the genetic association should serve to bolster research on existing agents that may have indirect effects on HCN1 activity, including lamotragine and gabapentin.

This brief survey only touches on the most promising candidates in Table 1, as defined by statistical specificity of PGC–SCZ GWAS results and biological properties of the targets. We encourage follow-up genetic and biological research for each of the 40 listed targets; for example, Table 3 demonstrates that other neurotransmitter receptors, including both muscarinic and nicotinic cholinergic subtypes implicated at complex (multigenic) PGC–SCZ GWAS loci, have been targets of novel treatment development in schizophrenia. (In this context, it is noteworthy that clozapine and olanzapine also demonstrate binding at the M4 muscarinic receptor,[54] and preclinical research on more selective M4 agents is well advanced.[55]) Initial research necessarily must be focused on definitively establishing that the statistical GWAS signal functionally implicates the specified gene of interest, and in which direction (up- or down-regulation) the risk allele functions. The absence of this information is the greatest limitation in our ability to translate GWAS hits into clinical targets. In this regard, data emerging from the new NIMH-funded PsychENCODE project (RFA-MH-14-020), designed to identify non-coding functional genomic elements in brain tissue, may be especially useful.

It is also important to note that our survey is limited to direct effects on targeted genes; future pathway analyses may greatly enhance our ability to exploit the results of GWAS for purposes of target identification. A key example of the utility of such an approach is provided by a recent large-scale GWAS meta-analysis in rheumatoid arthritis, which was able to use protein–protein interaction networks to retrospectively link GWAS hits with a wide variety of existing treatments.[56] Unfortunately, preliminary pathway analysis conducted by the PGC was unable to identify significantly enriched biological pathways.[1] Moreover, prospective use of interactome analysis presents the challenge of exponentially increasing potential targets.

It has been argued that the utility of GWAS is limited by the small effect size of GWAS-identified genetic variants on disease phenotypes. Although small effect sizes do mitigate the utility of GWAS for clinical diagnostic purposes, the size of the detected effects does not invalidate GWAS as a tool for identification of relevant biological insights.[2] For example, D2 antagonists are powerful antipsychotic agents, despite the fact that the risk allele at the PGC–SCZ locus containing DRD2 conveys an odds ratio of only 1.08, and is ranked 35th on the list of GWAS hits in order of statistical strength of association. Similarly, the efficacy of statins in reducing cholesterol is not proportional to the effect size on cholesterol levels of the HMGCR variant identified by GWAS.[3, 12] A large-scale review recently demonstrated that each copy of the G allele at the HMGCR variant rs17238484 is associated with a mean 0.06 mmol l-1 lower value of low-density lipoprotein cholesterol, whereas statin treatment results in a mean low-density lipoprotein reduction of 0.92 mmol l-1.[57] In this context, genetic variation and pharmacologic manipulation can be seen as two separate mechanisms for altering the same biological target.

The complexity of the PGC–SCZ results still reminds us that schizophrenia is a highly heterogeneous disorder, and it is unlikely that any single-treatment target or strategy will be efficacious across all, or even the majority, of patients. The mixed results of studies already conducted for these targets, as listed in Table 3, suggest that expected outcomes may be subtle or variable across different samples. Therefore, GWAS-nominated genetic variants should be utilized in clinical research as potential pharmacogenetic moderators of treatment response, in studies of established dopaminergic agents as well as any novel or repurposed compounds.

With these limitations in mind, intensive research into the above-listed targets represents a potential fast track toward novel treatments for schizophrenia. Existing compounds, as listed in Tables 1, 2, 3, overcome a series of obstacles that currently hamper psychiatric drug development: (1) the lengthy time necessary for the drug development process (a dozen years or more from target identification to clinical validation); (2) the lack of access to affected tissue to test target engagement; (3) the limitations of animal models of psychiatric disease; and (4) the retreat of investment in psychopharmacology by the pharmaceutical industry.[13]