Nick Craddock

Cardiff University, Cardiff, Wales, United Kingdom

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Publications (215)1994.78 Total impact

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    ABSTRACT: Obesity is strongly associated with major depressive disorder (MDD) and various other diseases. Genome-wide association studies have identified multiple risk loci robustly associated with body mass index (BMI). In this study, we aimed to investigate whether a genetic risk score (GRS) combining multiple BMI risk loci might have utility in prediction of obesity in patients with MDD. Linear and logistic regression models were conducted to predict BMI and obesity, respectively, in three independent large case-control studies of major depression (Radiant, GSK-Munich, PsyCoLaus). The analyses were first performed in the whole sample and then separately in depressed cases and controls. An unweighted GRS was calculated by summation of the number of risk alleles. A weighted GRS was calculated as the sum of risk alleles at each locus multiplied by their effect sizes. Receiver operating characteristic (ROC) analysis was used to compare the discriminatory ability of predictors of obesity. In the discovery phase, a total of 2,521 participants (1,895 depressed patients and 626 controls) were included from the Radiant study. Both unweighted and weighted GRS were highly associated with BMI (P <0.001) but explained only a modest amount of variance. Adding 'traditional' risk factors to GRS significantly improved the predictive ability with the area under the curve (AUC) in the ROC analysis, increasing from 0.58 to 0.66 (95% CI, 0.62-0.68; χ(2) = 27.68; P <0.0001). Although there was no formal evidence of interaction between depression status and GRS, there was further improvement in AUC in the ROC analysis when depression status was added to the model (AUC = 0.71; 95% CI, 0.68-0.73; χ(2) = 28.64; P <0.0001). We further found that the GRS accounted for more variance of BMI in depressed patients than in healthy controls. Again, GRS discriminated obesity better in depressed patients compared to healthy controls. We later replicated these analyses in two independent samples (GSK-Munich and PsyCoLaus) and found similar results. A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance. Nevertheless, as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.
    BMC Medicine 04/2015; 13(1):86. DOI:10.1186/s12916-015-0334-3 · 7.28 Impact Factor
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    ABSTRACT: Defining the molecular genomic basis of the likelihood of developing depressive disorder is a considerable challenge. We previously associated rare, exonic deletion copy number variants (CNV) with recurrent depressive disorder (RDD). Sex chromosome abnormalities also have been observed to co-occur with RDD. In this reanalysis of our RDD dataset (N = 3106 cases; 459 screened control samples and 2699 population control samples), we further investigated the role of larger CNVs and chromosomal abnormalities in RDD and performed association analyses with clinical data derived from this dataset. We found an enrichment of Turner's syndrome among cases of depression compared with the frequency observed in a large population sample (N = 34,910) of live-born infants collected in Denmark (two-sided p = .023, odds ratio = 7.76 [95% confidence interval = 1.79-33.6]), a case of diploid/triploid mosaicism, and several cases of uniparental isodisomy. In contrast to our previous analysis, large deletion CNVs were no more frequent in cases than control samples, although deletion CNVs in cases contained more genes than control samples (two-sided p = .0002). After statistical correction for multiple comparisons, our data do not support a substantial role for CNVs in RDD, although (as has been observed in similar samples) occasional cases may harbor large variants with etiological significance. Genetic pleiotropy and sample heterogeneity suggest that very large sample sizes are required to study conclusively the role of genetic variation in mood disorders. Copyright © 2015 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
    Biological psychiatry 02/2015; DOI:10.1016/j.biopsych.2015.02.025 · 9.47 Impact Factor
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    ABSTRACT: Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.
    The American Journal of Human Genetics 01/2015; DOI:10.1016/j.ajhg.2014.12.006 · 10.99 Impact Factor
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    ABSTRACT: Background There has been increasing interest in the association between childhood trauma and psychosis. Proposals for potential mechanisms involved include affective dysregulation and cognitive appraisals of threat. Aims To establish if, within bipolar disorder, childhood events show a significant association with psychosis, and in particular with symptoms driven by dysregulation of mood or with a persecutory content. Method Data on lifetime-ever presence of psychotic symptoms were determined by detailed structured interview with case-note review (n = 2019). Childhood events were recorded using a self-report questionnaire and case-note information. Results There was no relationship between childhood events, or childhood abuse, and psychosis per se. Childhood events were not associated with an increased risk of persecutory or other delusions. Significant associations were found between childhood abuse and auditory hallucinations, strongest between sexual abuse and mood congruent or abusive voices. These relationships remain significant even after controlling for lifetime-ever cannabis misuse. Conclusions Within affective disorder, the relationship between childhood events and psychosis appears to be relatively symptom-specific. It is possible that the pathways leading to psychotic symptoms differ, with delusions and non-hallucinatory symptoms being influenced less by childhood or early environmental experience. Royal College of Psychiatrists.
    The British journal of psychiatry: the journal of mental science 01/2015; 206(3). DOI:10.1192/bjp.bp.114.152611 · 7.34 Impact Factor
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    ABSTRACT: Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N=2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF≥1%) associated with TSH and FT4 (N=16,335). For TSH, we identify a novel variant in SYN2 (MAF=23.5%, P=6.15 × 10−9) and a new independent variant in PDE8B (MAF=10.4%, P=5.94 × 10−14). For FT4, we report a low-frequency variant near B4GALT6/SLC25A52 (MAF=3.2%, P=1.27 × 10−9) tagging a rare TTR variant (MAF=0.4%, P=2.14 × 10−11). All common variants explain ≥20% of the variance in TSH and FT4. Analysis of rare variants (MAF<1%) using sequence kernel association testing reveals a novel association with FT4 in NRG1. Our results demonstrate that increased coverage in whole-genome sequence association studies identifies novel variants associated with thyroid function.
    Nature Communications 01/2015; 6. DOI:10.1038/ncomms6681 · 10.74 Impact Factor
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    ABSTRACT: Background Individuals with a mental health disorder appear to be at increased risk of medical illness. Aims To examine rates of medical illnesses in patients with bipolar disorder (n = 1720) and to examine the clinical course of the bipolar illness according to lifetime medical illness burden. Method Participants recruited within the UK were asked about the lifetime occurrence of 20 medical illnesses, interviewed using the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) and diagnosed according to DSM-IV criteria. Results We found significantly increased rates of several medical illnesses in our bipolar sample. A high medical illness burden was associated with a history of anxiety disorder, rapid cycling mood episodes, suicide attempts and mood episodes with a typically acute onset. Conclusions Bipolar disorder is associated with high rates of medical illness. This comorbidity needs to be taken into account by services in order to improve outcomes for patients with bipolar disorder and also in research investigating the aetiology of affective disorder where shared biological pathways may play a role.
    The British journal of psychiatry: the journal of mental science 10/2014; 205(6). DOI:10.1192/bjp.bp.114.152249 · 7.34 Impact Factor
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    ABSTRACT: Objectives Darier disease is an autosomal dominant skin disorder caused by mutations in the ATPase, Ca++ transporting, cardiac muscle, slow twitch 2 (ATP2A2) gene and previously reported to cosegregate with bipolar disorder and schizophrenia in occasional pedigrees. It is, however, unknown whether these associations exist also in the general population, and the objective of this study was to examine this question. Methods We compared a national sample of individuals with Darier disease and their first-degree relatives with matched unexposed individuals from the general population and their first-degree relatives, respectively. To examine risks for bipolar disorder and schizophrenia, risk ratios and 95% confidence intervals (CIs) were estimated using conditional logistic regressions. Results Individuals with Darier disease had a 4.3 times higher risk of being diagnosed with bipolar disorder (95% CI: 2.6–7.3) and a 2.3 times higher risk of being diagnosed with schizophrenia (95% CI: 1.1–5.2) than matched individuals from the general population. Relatives of individuals with Darier disease had a 1.6 times higher risk of having bipolar disorder (95% CI: 1.1–2.5) than relatives of matched individuals from the general population, but no increased risk of schizophrenia (risk ratio = 0.8, 95% CI: 0.4–1.8). Conclusions The association between Darier disease and bipolar disorder is manifest also in the population, and our data suggest that genetic variability within the ATP2A2 gene that causes Darier disease also confers susceptibility for bipolar disorder. The Darier-causing mutations merit additional attention in molecular genetic research on bipolar disorder.
    Bipolar Disorders 09/2014; 17(3). DOI:10.1111/bdi.12257 · 4.89 Impact Factor
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    ABSTRACT: Background: Clinical, genetic and neuroimaging studies indicated strong evidence against traditional diagnostic separation of bipolar disorder from schizophrenia. In this study, we aimed to evaluate hypomanic symptoms and influence on general functioning among psychotic patients. Subjects and methods: Patients with schizophrenia and other psychotic disorders were assessed between June and September 2010. Positive and Negative Symptom Scale (PANSS), Hypomania Check List-32 (HCL-32), Mood Disorders Questionnaire (MDQ) and General Assessment of Functioning Scale (GAS) were applied to all 93 patients. Answers of self-rating scales were confirmed with hospital records. Results: Mean age was 35.7 +/- 9.5 years, mean age of onset was 20.3 +/- 5.3 years and duration of illness was 15.4 +/- 9.2 years. 30.1% of the patients, had a history of mood stabilizer treatment taken at least one month while one five of the patients had different psychiatric diagnosis other than current diagnosis. 26.9% of the patients with psychotic disorders had positive scores on both MDQ and HCL-32 but there were no significant difference between patients in terms of general functioning (p=0.82). Conclusions: As reported in this study, there is no simple, clear-cut between schizophrenia and bipolar affective disorder.
    Psychiatria Danubina 09/2014; 26(3):200-204. · 0.65 Impact Factor
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    Nature Communications 09/2014; 5:4871. · 10.74 Impact Factor
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    Nature Communications 09/2014; 5:4871. · 10.74 Impact Factor
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    ABSTRACT: Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many findings have the potential to provide entirely new insights into aetiology, but associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that have important roles in immunity, providing support for the speculated link between the immune system and schizophrenia.
    Nature 07/2014; 511:421-427. DOI:10.1038/nature13595 · 42.35 Impact Factor
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    ABSTRACT: Epidemiological studies have recognized a genetic diathesis for suicidal behavior, which is independent of other psychiatric disorders. Genome-wide association studies (GWAS) on suicide attempt (SA) and ideation have failed to identify specific genetic variants. Here, we conduct further GWAS and for the first time, use polygenic score analysis in cohorts of patients with mood disorders, to test for common genetic variants for mood disorders and suicide phenotypes. Genome-wide studies for SA were conducted in the RADIANT and GSK-Munich recurrent depression samples and London Bipolar Affective Disorder Case-Control Study (BACCs) then meta-analysis was performed. A GWAS on suicidal ideation during antidepressant treatment had previously been conducted in the Genome Based Therapeutic Drugs for Depression (GENDEP) study. We derived polygenic scores from each sample and tested their ability to predict SA in the mood disorder cohorts or ideation status in the GENDEP study. Polygenic scores for major depressive disorder, bipolar disorder and schizophrenia from the Psychiatric Genomics Consortium were used to investigate pleiotropy between psychiatric disorders and suicide phenotypes. No significant evidence for association was detected at any SNP in GWAS or meta-analysis. Polygenic scores for major depressive disorder significantly predicted suicidal ideation in the GENDEP pharmacogenetics study and also predicted SA in a combined validation dataset. Polygenic scores for SA showed no predictive ability for suicidal ideation. Polygenic score analysis suggests pleiotropy between psychiatric disorders and suicidal ideation whereas the tendency to act on such thoughts may have a partially independent genetic diathesis. © 2014 Wiley Periodicals, Inc.
    American Journal of Medical Genetics Part B Neuropsychiatric Genetics 07/2014; 165(5). DOI:10.1002/ajmg.b.32247 · 3.27 Impact Factor
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    ABSTRACT: To compare rates of bipolar episodes following miscarriage and termination with those occurring in the postpartum period.
    Bipolar Disorders 06/2014; 17(1). DOI:10.1111/bdi.12217 · 4.89 Impact Factor
  • Nick Craddock
    World psychiatry: official journal of the World Psychiatric Association (WPA) 06/2014; 13(2):140-1. DOI:10.1002/wps.20119 · 12.85 Impact Factor
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    ABSTRACT: Background Previous studies on the association between adiposity and mood disorder have produced contradictory results, and few have used measurements other than body mass index (BMI). We examined the association between probable major depression and several measurements of adiposity: BMI, waist circumference (WC), waist-hip-ratio (WHR), and body fat percentage (BF%). Methods We conducted a cross-sectional study using baseline data on the sub-group of UK Biobank participants who were assessed for mood disorder. Multivariate logistic regression models were used, adjusting for potential confounders including: demographic and life-style factors, comorbidity and psychotropic medication. Results Of the 140,564 eligible participants, evidence of probable major depression was reported by 30,145 (21.5%). The fully adjusted odds ratios (OR) for obese participants were 1.16 (95% confidence interval (CI) 1.12, 1.20) using BMI, 1.15 (95% CI 1.11, 1.19) using WC, 1.09 (95% CI 1.05, 1.13) using WHR and 1.18 (95% CI 1.12, 1.25) using BF% (all p < 0.001). There was a significant interaction between adiposity and gender (p = 0.001). Overweight women were at increased risk of depression with a dose response relationship across the overweight (25.0-29.9 kg/m2 ), obese I (30.0-34.9 kg/m2 ), II (35.0-39.9 kg/m2 ) and III (≥40.0 kg/m2 ) categories; fully adjusted ORs 1.14, 1.20, 1.29 and 1.48, respectively (all p < 0.001). In contrast, only obese III men had significantly increased risk of depression (OR 1.29, 95% CI 1.08, 1.54, p = 0.006). Conclusion Adiposity was associated with probable major depression, irrespective of the measurement used. The association was stronger in women than men. Physicians managing overweight and obese women should be alert to this increased risk
    BMC Psychiatry 05/2014; 14:153. DOI:10.1186/1471-244X-14-153 · 2.24 Impact Factor
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    ABSTRACT: Obesity has been shown to be associated with depression and it has been suggested that higher body mass index (BMI) increases the risk of depression and other common mental disorders. However, the causal relationship remains unclear and Mendelian randomisation, a form of instrumental variable analysis, has recently been employed to attempt to resolve this issue. To investigate whether higher BMI increases the risk of major depression. Two instrumental variable analyses were conducted to test the causal relationship between obesity and major depression in RADIANT, a large case-control study of major depression. We used a single nucleotide polymorphism (SNP) in FTO and a genetic risk score (GRS) based on 32 SNPs with well-established associations with BMI. Linear regression analysis, as expected, showed that individuals carrying more risk alleles of FTO or having higher score of GRS had a higher BMI. Probit regression suggested that higher BMI is associated with increased risk of major depression. However, our two instrumental variable analyses did not support a causal relationship between higher BMI and major depression (FTO genotype: coefficient -0.03, 95% CI -0.18 to 0.13, P = 0.73; GRS: coefficient -0.02, 95% CI -0.11 to 0.07, P = 0.62). Our instrumental variable analyses did not support a causal relationship between higher BMI and major depression. The positive associations of higher BMI with major depression in probit regression analyses might be explained by reverse causality and/or residual confounding.
    The British journal of psychiatry: the journal of mental science 05/2014; 205(1). DOI:10.1192/bjp.bp.113.130419 · 7.34 Impact Factor
  • Nick Craddock, Laurence Mynors-Wallis
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    ABSTRACT: Psychiatric diagnosis is in the spotlight following the recent publication of DSM-5. In this article we consider both the benefits and limitations of diagnosis in psychiatry. The use of internationally recognised diagnoses, although insufficient alone, is part of a psychiatrist's professional responsibility to provide high-quality, evidence-based care for patients.
    The British journal of psychiatry: the journal of mental science 02/2014; 204:93-5. DOI:10.1192/bjp.bp.113.133090 · 7.34 Impact Factor
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    ABSTRACT: Identifying rare, highly penetrant risk mutations may be an important step in dissecting the molecular etiology of schizophrenia. We conducted a gene-based analysis of large (>100kb), rare copy number variants (CNVs) in the Wellcome Trust Case Control Consortium 2 (WTCCC2) schizophrenia sample of 1,564 cases and 1,748 controls all from Ireland, and further extended the analysis to include an additional 5,196 UK controls. We found association with duplications at chr20p12.2 (P=0.007) and evidence of replication in large independent European schizophrenia (P=0.052) and UK bipolar disorder case-control cohorts (P=0.047). A combined analysis of Irish/UK subjects including additional psychosis cases (schizophrenia and bipolar disorder) identified 22 carriers in 11,707 cases and 10 carriers in 21,204 controls (meta-analysis CMH P value=2x10(-4) (odds ratio (OR)=11.3, 95% CI=3.7, ∞)). Nineteen of the 22 cases and 8 of the 10 controls carried duplications starting at 9.68Mb with similar breakpoints across samples. By haplotype analysis and sequencing we identified a tandem ∼149kb duplication overlapping the gene p21 Protein-Activated Kinase 7 (PAK7, also called PAK5) which was in linkage disequilibrium with local haplotypes (P=2.5x10(-21)), indicative of a single ancestral duplication event. We confirmed the breakpoints in 8/8 carriers tested and found co-segregation of the duplication with illness in two additional family members of one of the affected probands. We demonstrate that PAK7 is developmentally co-expressed with another known psychosis risk gene (DISC1) suggesting a potential molecular mechanism involving aberrant synapse development and plasticity.
    Human Molecular Genetics 01/2014; DOI:10.1093/hmg/ddu025 · 6.68 Impact Factor
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    ABSTRACT: Background Episodes of postpartum psychosis have been associated with first pregnancies in women with bipolar I disorder. It is unclear, however, if the effect extends to episodes at other times in relation to childbirth and to women with other mood disorders such as major depression and bipolar II disorder. This primiparity effect, which is also seen in other pregnancy related conditions such as pre-eclampsia, is a potentially important clue to the aetiology of childbirth related mood episodes. Methods Participants were interviewed and case notes reviewed. Best-estimate diagnoses were made according to DSM-IV criteria. Data on the occurrence of episodes in pregnancy and the postpartum were available on 3345 full term deliveries from 1667 participants, 934 with bipolar I disorder (BD-I), 278 with bipolar II disorder (BD-II) and 455 with recurrent major depression (RMD). Results Onsets of psychosis/mania within 6 weeks of childbirth were overrepresented in primiparae (p=0.007) with BD-I. Although primiparity was not associated with perinatal bipolar depression, there was an association with the onset of depression within 6 weeks in women with RMD (p=0.035). Whilst women experiencing a postpartum episode were less likely to go on to have further children, this did not account for the association with primiparity. Limitations Data were collected retrospectively. Information on pharmacological treatment was not available. Conclusions Primiparity is associated not only with postpartum psychosis/mania in BD-I, but also with postpartum depression in RMD. Psychosocial factors and biological differences between first and subsequent pregnancies may play a role and are candidates for examination in further studies.
    Journal of Affective Disorders 01/2014; s 152–154:334–339. DOI:10.1016/j.jad.2013.09.034 · 3.71 Impact Factor
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    ABSTRACT: Obesity is known to increase the risk of many diseases and reduce overall quality of life. This study examines the relationship with self-reported health (SRH) and happiness. We conducted a cross-sectional study of the 163 066 UK Biobank participants who completed the happiness rating. The association between adiposity and SRH and happiness was examined using logistic regression. SRH was defined as good (excellent, good), or poor (fair, poor). Self-reported happiness was defined as happy (extremely, very, moderately) or unhappy (moderately, very, extremely). Poor health was reported by 44 457 (27.3%) participants. The adjusted ORs for poor health were 3.86, 2.92, 2.60 and 6.41 for the highest, compared with lowest, deciles of Body Mass Index, waist circumference, waist to hip ratio and body fat percent, respectively. The associations were stronger in men (p<0.001). Overall, 7511 (4.6%) participants felt unhappy, and only class III obese participants were more likely to feel unhappy (adjusted OR 1.33, 95% CI 1.15 to 1.53, p<0.001) but the associations differed by sex (p<0.001). Among women, there was a significant association between unhappiness and all levels of obesity. By contrast, only class III obese men had significantly increased risk and overweight and class I obese men were less likely to be unhappy. Obesity impacts adversely on happiness as well as health, but the association with unhappiness disappeared after adjustment for self-reported health, indicating this may be mediated by health. Compared with obese men, obese women are less likely to report poor health, but more likely to feel unhappy.
    Journal of epidemiology and community health 12/2013; 68(4). DOI:10.1136/jech-2013-203077 · 3.29 Impact Factor

Publication Stats

14k Citations
1,994.78 Total Impact Points

Institutions

  • 2005–2015
    • Cardiff University
      • Department of Psychological Medicine and Neurology
      Cardiff, Wales, United Kingdom
  • 1999–2014
    • University of South Wales
      Понтиприте, Wales, United Kingdom
  • 2013
    • University of St Andrews
      Saint Andrews, Scotland, United Kingdom
    • University of Oslo
      • Division of Mental Health and Addiction
      Kristiania (historical), Oslo, Norway
  • 2008–2013
    • King's College London
      • • Institute of Psychiatry
      • • MRC Social, Genetic and Developmental Psychiatry Centre
      London, ENG, United Kingdom
  • 2012
    • Royal College of Psychiatrists
      Londinium, England, United Kingdom
  • 2009–2011
    • University of Bristol
      • School of Experimental Psychology
      Bristol, England, United Kingdom
    • McMaster University
      • Department of Psychiatry and Behavioural Neurosciences
      Hamilton, Ontario, Canada
  • 1998–2010
    • University of Birmingham
      • School of Clinical and Experimental Medicine
      Birmingham, ENG, United Kingdom
  • 1993–2009
    • University of Wales
      • College of Medicine
      Cardiff, Wales, United Kingdom
    • Mandeville Regional Hospital
      Мандевиль, Manchester, Jamaica
  • 2006
    • Queen Elizabeth Hospital Birmingham
      Birmingham, England, United Kingdom
  • 2004
    • Washington University in St. Louis
      • Department of Psychiatry
      San Luis, Missouri, United States