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Dive into the research topics where Jonathan R. I. Coleman is active.

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Featured researches published by Jonathan R. I. Coleman.


Nature Genetics | 2017

Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Suzanne Sniekers; Sven Stringer; Kyoko Watanabe; Philip R. Jansen; Jonathan R. I. Coleman; Eva Krapohl; Erdogan Taskesen; Anke R. Hammerschlag; Aysu Okbay; Delilah Zabaneh; Najaf Amin; Gerome Breen; David Cesarini; Christopher F. Chabris; William G. Iacono; M. Arfan Ikram; Magnus Johannesson; Philipp Koellinger; James J. Lee; Patrik K. E. Magnusson; Matt McGue; Mike Miller; William Ollier; Antony Payton; Neil Pendleton; Robert Plomin; Cornelius A. Rietveld; Henning Tiemeier; Cornelia van Duijn; Danielle Posthuma

Intelligence is associated with important economic and health-related life outcomes. Despite intelligence having substantial heritability (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered. Here we report a meta-analysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10−8) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10−6), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10−6). Despite the well-known difference in twin-based heritability for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (rg = 0.89, LD score regression P = 5.4 × 10−29). These findings provide new insight into the genetic architecture of intelligence.


Journal of the American Academy of Child and Adolescent Psychiatry | 2015

Clinical Predictors of Response to Cognitive-Behavioral Therapy in Pediatric Anxiety Disorders: The Genes for Treatment (GxT) Study

Jennifer L. Hudson; Robert Keers; Susanna Roberts; Jonathan R. I. Coleman; Gerome Breen; Kristian Arendt; Susan M. Bögels; Peter J. Cooper; Cathy Creswell; Catharina A. Hartman; Einar Heiervang; Katrin Hötzel; Tina In-Albon; Kristen L. Lavallee; Heidi J. Lyneham; Carla E. Marin; Anna McKinnon; Richard Meiser-Stedman; Talia Morris; Maaike Nauta; Ronald M. Rapee; Silvia Schneider; Sophie C. Schneider; Wendy K. Silverman; Mikael Thastum; Kerstin Thirlwall; Polly Waite; Gro Janne Wergeland; Kathryn J. Lester; Thalia C. Eley

Objective The Genes for Treatment study is an international, multisite collaboration exploring the role of genetic, demographic, and clinical predictors in response to cognitive-behavioral therapy (CBT) in pediatric anxiety disorders. The current article, the first from the study, examined demographic and clinical predictors of response to CBT. We hypothesized that the child’s gender, type of anxiety disorder, initial severity and comorbidity, and parents’ psychopathology would significantly predict outcome. Method A sample of 1,519 children 5 to 18 years of age with a primary anxiety diagnosis received CBT across 11 sites. Outcome was defined as response (change in diagnostic severity) and remission (absence of the primary diagnosis) at each time point (posttreatment, 3-, 6-, and/or 12-month follow-up) and analyzed using linear and logistic mixed models. Separate analyses were conducted using data from posttreatment and follow-up assessments to explore the relative importance of predictors at these time points. Results Individuals with social anxiety disorder (SoAD) had significantly poorer outcomes (poorer response and lower rates of remission) than those with generalized anxiety disorder (GAD). Although individuals with specific phobia (SP) also had poorer outcomes than those with GAD at posttreatment, these differences were not maintained at follow-up. Both comorbid mood and externalizing disorders significantly predicted poorer outcomes at posttreatment and follow-up, whereas self-reported parental psychopathology had little effect on posttreatment outcomes but significantly predicted response (although not remission) at follow-up. Conclusion SoAD, nonanxiety comorbidity, and parental psychopathology were associated with poorer outcomes after CBT. The results highlight the need for enhanced treatments for children at risk for poorer outcomes.


Translational Psychiatry | 2014

Serotonin tranporter methylation and response to cognitive behaviour therapy in children with anxiety disorders

Susanna Roberts; Kathryn J. Lester; Jennifer L. Hudson; Ronald M. Rapee; Cathy Creswell; Peter J. Cooper; Kerstin Thirlwall; Jonathan R. I. Coleman; Gerome Breen; Chloe Wong Wong; Thalia C. Eley

Anxiety disorders that are the most commonly occurring psychiatric disorders in childhood, are associated with a range of social and educational impairments and often continue into adulthood. Cognitive behaviour therapy (CBT) is an effective treatment option for the majority of cases, although up to 35–45% of children do not achieve remission. Recent research suggests that some genetic variants may be associated with a more beneficial response to psychological therapy. Epigenetic mechanisms such as DNA methylation work at the interface between genetic and environmental influences. Furthermore, epigenetic alterations at the serotonin transporter (SERT) promoter region have been associated with environmental influences such as stressful life experiences. In this study, we measured DNA methylation upstream of SERT in 116 children with an anxiety disorder, before and after receiving CBT. Change during treatment in percentage DNA methylation was significantly different in treatment responders vs nonresponders. This effect was driven by one CpG site in particular, at which responders increased in methylation, whereas nonresponders showed a decrease in DNA methylation. This is the first study to demonstrate differences in SERT methylation change in association with response to a purely psychological therapy. These findings confirm that biological changes occur alongside changes in symptomatology following a psychological therapy such as CBT.


Biological Psychiatry | 2017

An Examination of Polygenic Score Risk Prediction in Individuals With First-Episode Psychosis

Evangelos Vassos; Marta Di Forti; Jonathan R. I. Coleman; Conrad Iyegbe; Diana Prata; Jack Euesden; Paul F. O’Reilly; Charles Curtis; Anna Kolliakou; Hamel Patel; Stephen Newhouse; Matthew Traylor; Olesya Ajnakina; Valeria Mondelli; Tiago Reis Marques; Poonam Gardner-Sood; Katherine J. Aitchison; John Powell; Zerrin Atakan; Kathryn Greenwood; Shubulade Smith; Khalida Ismail; Carmine M. Pariante; Fiona Gaughran; Paola Dazzan; Hugh S. Markus; Anthony S. David; Cathryn M. Lewis; Robin M. Murray; Gerome Breen

BACKGROUND Polygenic risk scores (PRSs) have successfully summarized genome-wide effects of genetic variants in schizophrenia with significant predictive power. In a clinical sample of first-episode psychosis (FEP) patients, we estimated the ability of PRSs to discriminate case-control status and to predict the development of schizophrenia as opposed to other psychoses. METHODS The sample (445 case and 265 control subjects) was genotyped on the Illumina HumanCore Exome BeadChip with an additional 828 control subjects of African ancestry genotyped on the Illumina Multi-Ethnic Genotyping Array. To calculate PRSs, we used the results from the latest Psychiatric Genomics Consortium schizophrenia meta-analysis. We examined the association of PRSs with case-control status and with schizophrenia versus other psychoses in European and African ancestry FEP patients and in a second sample of 248 case subjects with chronic psychosis. RESULTS PRS had good discriminative ability of case-control status in FEP European ancestry individuals (9.4% of the variance explained, p < 10-6), but lower in individuals of African ancestry (R2 = 1.1%, p = .004). Furthermore, PRS distinguished European ancestry case subjects who went on to acquire a schizophrenia diagnosis from those who developed other psychotic disorders (R2 = 9.2%, p = .002). CONCLUSIONS PRS was a powerful predictor of case-control status in a European sample of patients with FEP, even though a large proportion did not have an established diagnosis of schizophrenia at the time of assessment. PRS was significantly different between those case subjects who developed schizophrenia from those who did not, although the discriminative accuracy may not yet be sufficient for clinical utility in FEP.


Depression and Anxiety | 2015

HPA AXIS RELATED GENES AND RESPONSE TO PSYCHOLOGICAL THERAPIES: GENETICS AND EPIGENETICS.

Susanna Roberts; Robert Keers; Kathryn J. Lester; Jonathan R. I. Coleman; Gerome Breen; Kristian Arendt; Judith Blatter-Meunier; Peter J. Cooper; Cathy Creswell; Krister W. Fjermestad; Odd E. Havik; Chantal Herren; Sanne M. Hogendoorn; Jennifer L. Hudson; Karen Krause; Heidi J. Lyneham; Talia Morris; Maaike Nauta; Ronald M. Rapee; Yasmin Rey; Silvia Schneider; Sophie C. Schneider; Wendy K. Silverman; Mikael Thastum; Kerstin Thirlwall; Polly Waite; Thalia C. Eley; Chloe Wong

Hypothalamic–pituitary–adrenal (HPA) axis functioning has been implicated in the development of stress‐related psychiatric diagnoses and response to adverse life experiences. This study aimed to investigate the association between genetic and epigenetics in HPA axis and response to cognitive behavior therapy (CBT).


British Journal of Psychiatry | 2016

Non-replication of the association between 5HTTLPR and response to psychological therapy for child anxiety disorders

Kathryn J. Lester; Susanna Roberts; Robert Keers; Jonathan R. I. Coleman; Gerome Breen; Chloe Wong; Xiaohui Xu; Kristian Arendt; Judith Blatter-Meunier; Susan M. Bögels; Peter J. Cooper; Catharine Creswell; Einar Heiervang; Chantal Herren; Sanne M. Hogendoorn; Jennifer L. Hudson; Karen Krause; Heidi J. Lyneham; Anna McKinnon; Talia Morris; Maaike Nauta; Ronald M. Rapee; Yasmine Rey; Silvia Schneider; Sophie C. Schneider; Wendy K. Silverman; Patrick Smith; Mikael Thastum; Kerstin Thirlwall; Polly Waite

Background We previously reported an association between 5HTTLPR genotype and outcome following cognitive–behavioural therapy (CBT) in child anxiety (Cohort 1). Children homozygous for the low-expression short-allele showed more positive outcomes. Other similar studies have produced mixed results, with most reporting no association between genotype and CBT outcome. Aims To replicate the association between 5HTTLPR and CBT outcome in child anxiety from the Genes for Treatment study (GxT Cohort 2, n = 829). Method Logistic and linear mixed effects models were used to examine the relationship between 5HTTLPR and CBT outcomes. Mega-analyses using both cohorts were performed. Results There was no significant effect of 5HTTLPR on CBT outcomes in Cohort 2. Mega-analyses identified a significant association between 5HTTLPR and remission from all anxiety disorders at follow-up (odds ratio 0.45, P = 0.014), but not primary anxiety disorder outcomes. Conclusions The association between 5HTTLPR genotype and CBT outcome did not replicate. Short-allele homozygotes showed more positive treatment outcomes, but with small, non-significant effects. Future studies would benefit from utilising whole genome approaches and large, homogenous samples.


Briefings in Functional Genomics | 2016

Quality control, imputation and analysis of genome-wide genotyping data from the Illumina HumanCoreExome microarray

Jonathan R. I. Coleman; Jack Euesden; Hamel Patel; Amos Folarin; Stephen Newhouse; Gerome Breen

The decreasing cost of performing genome-wide association studies has made genomics widely accessible. However, there is a paucity of guidance for best practice in conducting such analyses. For the results of a study to be valid and replicable, multiple biases must be addressed in the course of data preparation and analysis. In addition, standardizing methods across small, independent studies would increase comparability and the potential for effective meta-analysis. This article provides a discussion of important aspects of quality control, imputation and analysis of genome-wide data from a low-coverage microarray, as well as a straight-forward guide to performing a genome-wide association study. A detailed protocol is provided online, with example scripts available at https://github.com/JoniColeman/gwas_scripts.


British Journal of Psychiatry | 2016

Genome-wide association study of response to cognitive–behavioural therapy in children with anxiety disorders

Jonathan R. I. Coleman; Kathryn J. Lester; Robert Keers; Susanna Roberts; Charles Curtis; Kristian Arendt; Susan M. Bögels; Peter J. Cooper; Cathy Creswell; Tim Dalgleish; Catharina A. Hartman; Einar Heiervang; Katrin Hötzel; Jennifer L. Hudson; Tina In-Albon; Kristen L. Lavallee; Heidi J. Lyneham; Carla E. Marin; Richard Meiser-Stedman; Talia Morris; Maaike Nauta; Ronald M. Rapee; Silvia Schneider; Sophie C. Schneider; Wendy K. Silverman; Mikael Thastum; Kerstin Thirlwall; Polly Waite; Gro Janne Wergeland; Gerome Breen

Background Anxiety disorders are common, and cognitive–behavioural therapy (CBT) is a first-line treatment. Candidate gene studies have suggested a genetic basis to treatment response, but findings have been inconsistent. Aims To perform the first genome-wide association study (GWAS) of psychological treatment response in children with anxiety disorders (n = 980). Method Presence and severity of anxiety was assessed using semi-structured interview at baseline, on completion of treatment (post-treatment), and 3 to 12 months after treatment completion (follow-up). DNA was genotyped using the Illumina Human Core Exome-12v1.0 array. Linear mixed models were used to test associations between genetic variants and response (change in symptom severity) immediately post-treatment and at 6-month follow-up. Results No variants passed a genome-wide significance threshold (P = 5 × 10−8) in either analysis. Four variants met criteria for suggestive significance (P<5 × 10−6) in association with response post-treatment, and three variants in the 6-month follow-up analysis. Conclusions This is the first genome-wide therapygenetic study. It suggests no common variants of very high effect underlie response to CBT. Future investigations should maximise power to detect single-variant and polygenic effects by using larger, more homogeneous cohorts.


American Journal of Medical Genetics | 2017

Genetic variation in the endocannabinoid system and response to Cognitive Behavior Therapy for child anxiety disorders

Kathryn J. Lester; Jonathan R. I. Coleman; Susanna Roberts; Robert Keers; Gerome Breen; Susan M. Bögels; Cathy Creswell; Jennifer L. Hudson; Anna McKinnon; Maaike Nauta; Ronald M. Rapee; Silvia Schneider; Wendy K. Silverman; Mikael Thastum; Polly Waite; Gro Janne Wergeland; Thalia C. Eley

Extinction learning is an important mechanism in the successful psychological treatment of anxiety. Individual differences in response and relapse following Cognitive Behavior Therapy may in part be explained by variability in the ease with which fears are extinguished or the vulnerability of these fears to re‐emerge. Given the role of the endocannabinoid system in fear extinction, this study investigates whether genetic variation in the endocannabinoid system explains individual differences in response to CBT. Children (N = 1,309) with a primary anxiety disorder diagnosis were recruited. We investigated the relationship between variation in the CNR1, CNR2, and FAAH genes and change in primary anxiety disorder severity between pre‐ and post‐treatment and during the follow‐up period in the full sample and a subset with fear‐based anxiety disorder diagnoses. Change in symptom severity during active treatment was nominally associated (P < 0.05) with two SNPs. During the follow‐up period, five SNPs were nominally associated with a poorer treatment response (rs806365 [CNR1]; rs2501431 [CNR2]; rs2070956 [CNR2]; rs7769940 [CNR1]; rs2209172 [FAAH]) and one with a more favorable response (rs6928813 [CNR1]). Within the fear‐based subset, the effect of rs806365 survived multiple testing corrections (P < 0.0016). We found very limited evidence for an association between variants in endocannabinoid system genes and treatment response once multiple testing corrections were applied. Larger, more homogenous cohorts are needed to allow the identification of variants of small but statistically significant effect and to estimate effect sizes for these variants with greater precision in order to determine their potential clinical utility.


PLOS ONE | 2016

Genome-Wide Association of Heroin Dependence in Han Chinese

Gursharan Kalsi; Jack Euesden; Jonathan R. I. Coleman; Francesca Ducci; Fazil Aliev; Stephen Newhouse; Xiehe Liu; Xiaohong Ma; Yingcheng Wang; David A. Collier; Philip Asherson; Tao Li; Gerome Breen

Drug addiction is a costly and recurring healthcare problem, necessitating a need to understand risk factors and mechanisms of addiction, and to identify new biomarkers. To date, genome-wide association studies (GWAS) for heroin addiction have been limited; moreover they have been restricted to examining samples of European and African-American origin due to difficulty of recruiting samples from other populations. This is the first study to test a Han Chinese population; we performed a GWAS on a homogeneous sample of 370 Han Chinese subjects diagnosed with heroin dependence using the DSM-IV criteria and 134 ethnically matched controls. Analysis using the diagnostic criteria of heroin dependence yielded suggestive evidence for association between variants in the genes CCDC42 (coiled coil domain 42; p = 2.8x10-7) and BRSK2 (BR serine/threonine 2; p = 4.110−6). In addition, we found evidence for risk variants within the ARHGEF10 (Rho guanine nucleotide exchange factor 10) gene on chromosome 8 and variants in a region on chromosome 20q13, which is gene-poor but has a concentration of mRNAs and predicted miRNAs. Gene-based association analysis identified genome-wide significant association between variants in CCDC42 and heroin addiction. Additionally, when we investigated shared risk variants between heroin addiction and risk of other addiction-related and psychiatric phenotypes using polygenic risk scores, we found a suggestive relationship with variants predicting tobacco addiction, and a significant relationship with variants predicting schizophrenia. Our genome wide association study of heroin dependence provides data in a novel sample, with functionally plausible results and evidence of genetic data of value to the field.

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Robert Keers

Queen Mary University of London

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Maaike Nauta

University of Groningen

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