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Featured researches published by Andrew Crawford.


European Neuropsychopharmacology | 2013

Systematic review and meta-analysis of serotonin transporter genotype and discontinuation from antidepressant treatment

Andrew Crawford; Glyn Lewis; Sarah Lewis; Marcus R. Munafò

There is evidence that 5-HTTLPR is associated with response following treatment from selective serotonin reuptake inhibitors (SSRIs). The short (S) allele has reduced serotonin transporter expression, compared to the long (L) allele, and has been reported to be associated with poorer response in Europeans, with the effect in other populations unclear. However the published literature is inconsistent. A systematic review and meta-analysis was performed to investigate the effect of 5-HTTLPR on discontinuation from antidepressant treatment. Data were obtained from 17 studies including 4309 participants. The principal outcome measure was the allelic odds ratio (OR) for the 5-HTTLPR S allele and discontinuation status. A random effects meta-analysis provided no evidence that the S allele was associated with increased odds of discontinuation from SSRIs in Europeans (OR 1.09, 95% CI 0.83–1.42, p=0.53; 10 studies, n=2504) but in East Asians there was evidence of a reduced odds of discontinuation (OR 0.28, 95% CI 0.12–0.64, p=0.002; 2 studies, n=136). There was a suggestion of small study bias (p=0.05). This meta-analysis provides no evidence of an association between 5-HTTLPR and discontinuation from antidepressant treatment in Europeans. The low number of studies in East Asian samples using SSRIs reduces confidence in our evidence that the S allele decreases the odds of discontinuation in this population. At present, there is no evidence of an association between 5-HTTLPR and discontinuation from SSRI treatment in a European population with further studies required to investigate its effects in different populations.


Journal of Psychopharmacology | 2014

Genetic predictors of antidepressant side effects: A grouped candidate gene approach in the Genome-Based Therapeutic Drugs for Depression (GENDEP) study

Karen Hodgson; Rudolf Uher; Andrew Crawford; Glyn G. Lewis; Michael Conlon O'Donovan; Robert Keers; Mojca Zvezdana Dernovšek; Ole Mors; Joanna Hauser; Daniel Souery; Wolfgang Maier; Neven Henigsberg; Marcella Rietschel; Anna Placentino; Katherine J. Aitchison; Anne Farmer; Oliver S. P. Davis; Peter McGuffin

Background: The unwanted side effects associated with antidepressants are key determinants of treatment adherence in depression; propensity to experience these adverse drug reactions (ADRs) may be influenced by genetic variation. However, previous work attempting to ascertain the genetic variants involved has had limited success, in part due to the range of ADRs reported with antidepressants. Method: ADRs reported with antidepressant treatment were categorised using their likely pharmacological basis; adrenergic, cholinergic, serotonergic and histaminergic. To identify genetic predictors of susceptibility to each group of ADRs, a candidate gene analysis was performed with data from 431 depressed patients (from a total sample size of 811 patients) enrolled in the Genome-Based Therapeutic Drugs for Depression (GENDEP) project, who were randomly allocated to receive treatment with escitalopram or nortriptyline. Data from 474 patients treated with citalopram or reboxetine in the GenPod project (total sample of 601 patients) were used for replication of significant findings. Results: We found no significant predictors of presumed adrenergic, cholinergic and histaminergic ADRs. Putative serotonergic ADRs were significantly associated with variation in the gene encoding the serotonin 2C receptor (HTR2C, rs6644093, odds ratio (OR)=1.72, 95% confidence interval (CI)=1.31−2.25, p=7.43×10−5) in GENDEP. However, this finding was not replicated in GenPod. Conclusions: The association between serotonergic side effects and variation in the HTR2C gene in the GENDEP sample supports the hypothesis that serotonin receptor-mediated mechanisms underlie these adverse reactions, however this finding was not replicated in GenPod.


The Lancet Respiratory Medicine | 2018

Susceptibility to corticosteroid-induced adrenal suppression: a genome-wide association study

Daniel B. Hawcutt; Ben Francis; Daniel F. Carr; Andrea Jorgensen; Peng Yin; Naomi Wallin; Natalie O'Hara; Eunice J. Zhang; Katarzyna M Bloch; Amitava Ganguli; Ben Thompson; Laurence McEvoy; Matthew Peak; Andrew Crawford; Brian R. Walker; Joanne Blair; Jonathan Couriel; Rosalind L Smyth; Munir Pirmohamed

Summary Background A serious adverse effect of corticosteroid therapy is adrenal suppression. Our aim was to identify genetic variants affecting susceptibility to corticosteroid-induced adrenal suppression. Methods We enrolled children with asthma who used inhaled corticosteroids as part of their treatment from 25 sites across the UK (discovery cohort), as part of the Pharmacogenetics of Adrenal Suppression with Inhaled Steroids (PASS) study. We included two validation cohorts, one comprising children with asthma (PASS study) and the other consisting of adults with chronic obstructive pulmonary disorder (COPD) who were recruited from two UK centres for the Pharmacogenomics of Adrenal Suppression in COPD (PASIC) study. Participants underwent a low-dose short synacthen test. Adrenal suppression was defined as peak cortisol less than 350 nmol/L (in children) and less than 500 nmol/L (in adults). A case-control genome-wide association study was done with the control subset augmented by Wellcome Trust Case Control Consortium 2 (WTCCC2) participants. Single nucleotide polymorphisms (SNPs) that fulfilled criteria to be advanced to replication were tested by a random-effects inverse variance meta-analysis. This report presents the primary analysis. The PASS study is registered in the European Genome-phenome Archive (EGA). The PASS study is complete whereas the PASIC study is ongoing. Findings Between November, 2008, and September, 2011, 499 children were enrolled to the discovery cohort. Between October, 2011, and December, 2012, 81 children were enrolled to the paediatric validation cohort, and from February, 2010, to June, 2015, 78 adults were enrolled to the adult validation cohort. Adrenal suppression was present in 35 (7%) children in the discovery cohort and six (7%) children and 17 (22%) adults in the validation cohorts. In the discovery cohort, 40 SNPs were found to be associated with adrenal suppression (genome-wide significance p<1 × 10−6), including an intronic SNP within the PDGFD gene locus (rs591118; odds ratio [OR] 7·32, 95% CI 3·15–16·99; p=5·8 × 10−8). This finding for rs591118 was validated successfully in both the paediatric asthma (OR 3·86, 95% CI 1·19–12·50; p=0·02) and adult COPD (2·41, 1·10–5·28; p=0·03) cohorts. The proportions of patients with adrenal suppression by rs591118 genotype were six (3%) of 214 patients with the GG genotype, 15 (6%) of 244 with the AG genotype, and 22 (25%) of 87 with the AA genotype. Meta-analysis of the paediatric cohorts (discovery and validation) and all three cohorts showed genome-wide significance of rs591118 (respectively, OR 5·89, 95% CI 2·97–11·68; p=4·3 × 10−9; and 4·05, 2·00–8·21; p=3·5 × 10−10). Interpretation Our findings suggest that genetic variation in the PDGFD gene locus increases the risk of adrenal suppression in children and adults who use corticosteroids to treat asthma and COPD, respectively. Funding Department of Health Chair in Pharmacogenetics.


International Journal of Obesity | 2018

Maternal and fetal genetic contribution to gestational weight gain

Nicole M. Warrington; Rebecca C Richmond; Bjarke Fenstra; Ronny Myhre; Romy Gaillard; Lavinia Paternoster; Carol A. Wang; Robin N. Beaumont; Shikta Das; Mario Murcia; Sheila J. Barton; Ana Espinosa; Elisabeth Thiering; Mustafa Atalay; Niina Pitkänen; Ioanna Ntalla; Anna Jonsson; Rachel M. Freathy; Ville Karhunen; Carla M.T. Tiesler; Catherine Allard; Andrew Crawford; Susan M. Ring; Mads Melbye; Per Magnus; Fernando Rivadeneira; Line Skotte; Torben Hansen; Julie A. Marsh; Mònica Guxens

Background:Clinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG.Participants and methods:A genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight).Results:Approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10−8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG.Conclusions:We found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.


American Journal of Medical Genetics | 2018

Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data

Daniel S. Tylee; Jiayin Sun; Jonathan L. Hess; Muhammad A. Tahir; Esha Sharma; Rainer Malik; Bradford B. Worrall; Andrew J. Levine; Jeremy J. Martinson; Sergey Nejentsev; Doug Speed; Annegret Fischer; Eric Mick; Brian R. Walker; Andrew Crawford; Struan F. A. Grant; Constantin Polychronakos; Jonathan P. Bradfield; Patrick Sleiman; Hakon Hakonarson; Eva Ellinghaus; James T. Elder; Lam C. Tsoi; Richard C. Trembath; Jonathan Barker; Andre Franke; Abbas Dehghan; Stephen V. Faraone; Stephen J. Glatt

Individuals with psychiatric disorders have elevated rates of autoimmune comorbidity and altered immune signaling. It is unclear whether these altered immunological states have a shared genetic basis with those psychiatric disorders. The present study sought to use existing summary‐level data from previous genome‐wide association studies to determine if commonly varying single nucleotide polymorphisms are shared between psychiatric and immune‐related phenotypes. We estimated heritability and examined pair‐wise genetic correlations using the linkage disequilibrium score regression (LDSC) and heritability estimation from summary statistics methods. Using LDSC, we observed significant genetic correlations between immune‐related disorders and several psychiatric disorders, including anorexia nervosa, attention deficit‐hyperactivity disorder, bipolar disorder, major depression, obsessive compulsive disorder, schizophrenia, smoking behavior, and Tourette syndrome. Loci significantly mediating genetic correlations were identified for schizophrenia when analytically paired with Crohns disease, primary biliary cirrhosis, systemic lupus erythematosus, and ulcerative colitis. We report significantly correlated loci and highlight those containing genome‐wide associations and candidate genes for respective disorders. We also used the LDSC method to characterize genetic correlations among the immune‐related phenotypes. We discuss our findings in the context of relevant genetic and epidemiological literature, as well as the limitations and caveats of the study.


Scientific Reports | 2017

Hair Cortisol in Twins: Heritability and Genetic Overlap with Psychological Variables and Stress-System Genes

Liz Rietschel; Fabian Streit; Gu Zhu; Kerrie McAloney; Josef Frank; Baptiste Couvy-Duchesne; Stephanie H. Witt; Tina M. Binz; John J. McGrath; Ian B. Hickie; Narelle K. Hansell; Margaret J. Wright; Nathan A. Gillespie; Andreas J. Forstner; Thomas G. Schulze; Stefan Wüst; Markus M. Nöthen; Markus R. Baumgartner; Brian R. Walker; Andrew Crawford; Lucía Colodro-Conde; Sarah E. Medland; Nicholas G. Martin; Marcella Rietschel

Hair cortisol concentration (HCC) is a promising measure of long-term hypothalamus-pituitary-adrenal (HPA) axis activity. Previous research has suggested an association between HCC and psychological variables, and initial studies of inter-individual variance in HCC have implicated genetic factors. However, whether HCC and psychological variables share genetic risk factors remains unclear. The aims of the present twin study were to: (i) assess the heritability of HCC; (ii) estimate the phenotypic and genetic correlation between HPA axis activity and the psychological variables perceived stress, depressive symptoms, and neuroticism; using formal genetic twin models and molecular genetic methods, i.e. polygenic risk scores (PRS). HCC was measured in 671 adolescents and young adults. These included 115 monozygotic and 183 dizygotic twin-pairs. For 432 subjects PRS scores for plasma cortisol, major depression, and neuroticism were calculated using data from large genome wide association studies. The twin model revealed a heritability for HCC of 72%. No significant phenotypic or genetic correlation was found between HCC and the three psychological variables of interest. PRS did not explain variance in HCC. The present data suggest that HCC is highly heritable. However, the data do not support a strong biological link between HCC and any of the investigated psychological variables.


Scientific Reports | 2017

Carbonyl reductase 1 catalyzes 20β-reduction of glucocorticoids, modulating receptor activation and metabolic complications of obesity

Ruth Morgan; Katharina Beck; Mark Nixon; Natalie Homer; Andrew Crawford; Diana Melchers; René Houtman; Andreas Stomby; Anna Anderson; Rita Upreti; Roland H. Stimson; Tommy Olsson; Tom Michoel; Ariella Cohain; Arno Ruusalepp; Eric E. Schadt; Johan Björkegren; Ruth Andrew; Christopher J. Kenyon; Patrick W. F. Hadoke; Alex Odermatt; John Keen; Brian R. Walker

Carbonyl Reductase 1 (CBR1) is a ubiquitously expressed cytosolic enzyme important in exogenous drug metabolism but the physiological function of which is unknown. Here, we describe a role for CBR1 in metabolism of glucocorticoids. CBR1 catalyzes the NADPH- dependent production of 20β-dihydrocortisol (20β-DHF) from cortisol. CBR1 provides the major route of cortisol metabolism in horses and is up-regulated in adipose tissue in obesity in horses, humans and mice. We demonstrate that 20β-DHF is a weak endogenous agonist of the human glucocorticoid receptor (GR). Pharmacological inhibition of CBR1 in diet-induced obesity in mice results in more marked glucose intolerance with evidence for enhanced hepatic GR signaling. These findings suggest that CBR1 generating 20β-dihydrocortisol is a novel pathway modulating GR activation and providing enzymatic protection against excessive GR activation in obesity.


Psychoneuroendocrinology | 2017

The low single nucleotide polymorphism heritability of plasma and saliva cortisol levels

Alexander Neumann; Nese Direk; Andrew Crawford; Saira Saeed Mirza; Hieab H.H. Adams; Jennifer L. Bolton; Caroline Hayward; David P. Strachan; Erin Payne; Jennifer A. Smith; Yuri Milaneschi; Brenda W.J.H. Penninx; Jouke J. Hottenga; Eco J. C. de Geus; Albertine J. Oldehinkel; Peter J. van der Most; Yolanda B. de Rijke; Brian R. Walker; Henning Tiemeier

Cortisol is an important stress hormone affected by a variety of biological and environmental factors, such as the circadian rhythm, exercise and psychological stress. Cortisol is mostly measured using blood or saliva samples. A number of genetic variants have been found to contribute to cortisol levels with these methods. While the effects of several specific single genetic variants is known, the joint genome-wide contribution to cortisol levels is unclear. Our aim was to estimate the amount of cortisol variance explained by common single nucleotide polymorphisms, i.e. the SNP heritability, using a variety of cortisol measures, cohorts and analysis approaches. We analyzed morning plasma (n=5705) and saliva levels (n=1717), as well as diurnal saliva levels (n=1541), in the Rotterdam Study using genomic restricted maximum likelihood estimation. Additionally, linkage disequilibrium score regression was fitted on the results of genome-wide association studies (GWAS) performed by the CORNET consortium on morning plasma cortisol (n=12,597) and saliva cortisol (n=7703). No significant SNP heritability was detected for any cortisol measure, sample or analysis approach. Point estimates ranged from 0% to 9%. Morning plasma cortisol in the CORNET cohorts, the sample with the most power, had a 6% [95%CI: 0-13%] SNP heritability. The results consistently suggest a low SNP heritability of these acute and short-term measures of cortisol. The low SNP heritability may reflect the substantial environmental and, in particular, situational component of these cortisol measures. Future GWAS will require very large sample sizes. Alternatively, more long-term cortisol measures such as hair cortisol samples are needed to discover further genetic pathways regulating cortisol concentrations.


bioRxiv | 2016

Genetic correlations among brain-behavioral and immune-related phenotypes based on genome-wide association data.

Daniel S. Tylee; Jonathan L. Hess; Muhammad A. Tahir; Esha Sharma; Rainer Malik; Bradford B. Worrall; Andrew J. Levine; Jeremy J. Martinson; Sergey Nejenstev; Doug Speed; Annegret Fischer; Eric Mick; Brian R. Walker; Andrew Crawford; Struan F. A. Grant; Constantin Polychronakos; Jonathan P. Bradfield; Patrick Sleiman; Hakon Hakonarson; Stephen V. Faraone; Stephen J. Glatt

Individuals with psychiatric disorders have elevated rates of autoimmune comorbidity and altered immune signaling. It is unclear whether these altered immunological states have a shared genetic basis with those psychiatric disorders. The present study sought to use existing summary-level data from previous genome-wide association studies (GWASs) to determine if commonly varying single nucleotide polymorphisms (SNPs) are shared between psychiatric and immune-related phenotypes. We estimated heritability and examined pair-wise genetic correlations using the linkage disequilibrium score regression (LDSC) and heritability estimation from summary statistics (HESS) methods. Using LDSC, we observed significant genetic correlations between immune-related disorders and several psychiatric disorders, including anorexia nervosa, attention deficit-hyperactivity disorder, bipolar disorder, major depression, obsessive compulsive disorder, schizophrenia, smoking behavior, and Tourette syndrome. Loci significantly mediating genetic correlations were identified for schizophrenia when analytically paired with Crohn’s disease, primary biliary cirrhosis, systemic lupus erythematosus, and ulcerative colitis. We report significantly correlated loci and highlight those containing genome-wide associations and candidate genes for respective disorders. We also used the LDSC method to characterize genetic correlations amongst the immune-related phenotypes. We discuss our findings in the context of relevant genetic and epidemiological literature, as well as the limitations and caveats of the study.


Psychiatry Research-neuroimaging | 2015

Risk of suicide for individuals reporting asthma and atopy in young adulthood: findings from the Glasgow Alumni Study

Andrew Crawford; Bruna Galobardes; Mona Jeffreys; George Davey Smith; David Gunnell

There is emerging evidence that asthma and atopy may be associated with a higher risk of suicide. We investigated the association of asthma and atopy with mortality from suicide (n=32) in the Glasgow Alumni cohort, adjusting for the key confounders of socioeconomic position and smoking. We found no evidence of an association in our a priori atopy phenotypes with suicide, and there were insufficient suicides in the asthma phenotypes to draw any conclusions. In additional analyses, individuals reporting both eczema–urticaria and hay fever and those with family history of atopy were at higher risk of suicide. As these were secondary analyses and based on small numbers of events we cannot rule out chance findings. The lack of evidence in our main hypothesis may be due to the small number of suicides or reported associations between asthma and atopy may be confounded.

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Glyn Lewis

University College London

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Amy Green

University of Bristol

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Athimalaipet V Ramanan

University Hospitals Bristol NHS Foundation Trust

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