Development of multivariable models to predict change in Body Mass Index within a clinical trial population of psychotic individuals

[1]  J. Suvisaari,et al.  Is It Possible to Predict the Future in First-Episode Psychosis? , 2018, Front. Psychiatry.

[2]  Xin Feng,et al.  Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances. , 2018, Journal of visualized experiments : JoVE.

[3]  P. O’Reilly,et al.  An Examination of Polygenic Score Risk Prediction in Individuals With First-Episode Psychosis , 2017, Biological Psychiatry.

[4]  Anushya Muruganujan,et al.  PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements , 2016, Nucleic Acids Res..

[5]  C. Eap,et al.  Prediction of early weight gain during psychotropic treatment using a combinatorial model with clinical and genetic markers , 2016, Pharmacogenetics and genomics.

[6]  R. Murray,et al.  Gene-expression analysis of clozapine treatment in whole blood of patients with psychosis , 2016, Psychiatric genetics.

[7]  Jianxin Shi,et al.  Developing and evaluating polygenic risk prediction models for stratified disease prevention , 2016, Nature Reviews Genetics.

[8]  G. Breen,et al.  Quality control, imputation and analysis of genome-wide genotyping data from the Illumina HumanCoreExome microarray. , 2016, Briefings in functional genomics.

[9]  M. Evans,et al.  Factors Predictive of Weight Gain and Implications for Modeling in Type 2 Diabetes Patients Initiating Metformin and Sulfonylurea Combination Therapy , 2015, Diabetes Therapy.

[10]  M. Fasshauer,et al.  Extensive weight loss reveals distinct gene expression changes in human subcutaneous and visceral adipose tissue , 2015, Scientific Reports.

[11]  Max Kuhn,et al.  caret: Classification and Regression Training , 2015 .

[12]  Sven Bergmann,et al.  A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder , 2015, BMC Medicine.

[13]  Ross M. Fraser,et al.  Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.

[14]  G. Collins,et al.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement , 2015, British Journal of Cancer.

[15]  Jack Euesden,et al.  PRSice: Polygenic Risk Score software , 2014, Bioinform..

[16]  O. Kampman,et al.  Smoking and weight among patients using clozapine , 2014, Nordic journal of psychiatry.

[17]  Ross M. Fraser,et al.  Defining the role of common variation in the genomic and biological architecture of adult human height , 2014, Nature Genetics.

[18]  C. Spencer,et al.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.

[19]  Marcin Gierach,et al.  Correlation between Body Mass Index and Waist Circumference in Patients with Metabolic Syndrome , 2014, ISRN endocrinology.

[20]  J. Lieberman,et al.  Fat Mass- and Obesity-Associated (FTO) Gene and Antipsychotic-Induced Weight Gain: An Association Study , 2014, Neuropsychobiology.

[21]  R. Murray,et al.  Improving physical health and reducing substance use in psychosis – randomised control trial (IMPACT RCT): study protocol for a cluster randomised controlled trial , 2013, BMC Psychiatry.

[22]  Crystal M. Riley,et al.  Young adult weight trajectories through midlife by body mass category , 2013, Obesity.

[23]  Renaud Gaujoux,et al.  CellMix: a comprehensive toolbox for gene expression deconvolution , 2013, Bioinform..

[24]  J. Lieberman,et al.  Role of ethnicity in antipsychotic-induced weight gain and tardive dyskinesia: genes or environment? , 2013, Pharmacogenomics.

[25]  J. Marrero,et al.  Comparison of imputation methods for missing laboratory data in medicine , 2013, BMJ Open.

[26]  Annette Lee,et al.  Association between common variants near the melanocortin 4 receptor gene and severe antipsychotic drug-induced weight gain. , 2012, Archives of general psychiatry.

[27]  Y. Wu,et al.  Expression profiling based on coexpressed modules in obese prepubertal children. , 2012, Genetics and molecular research : GMR.

[28]  René S. Kahn,et al.  A Gene Co-Expression Network in Whole Blood of Schizophrenia Patients Is Independent of Antipsychotic-Use and Enriched for Brain-Expressed Genes , 2012, PloS one.

[29]  V. Taylor,et al.  Changes in Body Weight and Psychotropic Drugs: A Systematic Synthesis of the Literature , 2012, PloS one.

[30]  Robin M. Murray,et al.  Incidence of Schizophrenia and Other Psychoses in England, 1950–2009: A Systematic Review and Meta-Analyses , 2012, PloS one.

[31]  Samuel Szomstein,et al.  Association of Body Mass Index and Lipid Profiles: Evaluation of a Broad Spectrum of Body Mass Index Patients Including the Morbidly Obese , 2011, Obesity surgery.

[32]  J. Shepherd,et al.  The clinical effectiveness and cost-effectiveness of long-term weight management schemes for adults: a systematic review. , 2011, Health technology assessment.

[33]  Jianxin Shi,et al.  Genetic risk sum score comprised of common polygenic variation is associated with body mass index , 2011, Human Genetics.

[34]  J. Vázquez-Barquero,et al.  Effect of FTO, SH2B1, LEP, and LEPR Polymorphisms on Weight Gain Associated With Antipsychotic Treatment , 2010, Journal of clinical psychopharmacology.

[35]  Jun Hee Lee,et al.  Dietary and Genetic Obesity Promote Liver Inflammation and Tumorigenesis by Enhancing IL-6 and TNF Expression , 2010, Cell.

[36]  Christian Gieger,et al.  New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk , 2010, Nature Genetics.

[37]  P. Weiden,et al.  The expert consensus guideline series: adherence problems in patients with serious and persistent mental illness. , 2009, The Journal of clinical psychiatry.

[38]  Z. Modrušan,et al.  Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns in Systemic Lupus Erythematosus , 2009, PloS one.

[39]  J. Hebebrand,et al.  Antipsychotic-induced body weight gain: predictors and a systematic categorization of the long-term weight course. , 2009, Journal of psychiatric research.

[40]  Yvonne Vergouwe,et al.  Prognosis and prognostic research: what, why, and how? , 2009, BMJ : British Medical Journal.

[41]  Brad T. Sherman,et al.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.

[42]  Chris Mungall,et al.  AmiGO: online access to ontology and annotation data , 2008, Bioinform..

[43]  Steve Horvath,et al.  WGCNA: an R package for weighted correlation network analysis , 2008, BMC Bioinformatics.

[44]  Max Kuhn,et al.  Building Predictive Models in R Using the caret Package , 2008 .

[45]  S. Gabriel,et al.  Whole-genome association study of bipolar disorder , 2008, Molecular Psychiatry.

[46]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[47]  J. Suvisaari,et al.  Lifetime prevalence of psychotic and bipolar I disorders in a general population. , 2007, Archives of general psychiatry.

[48]  De-Shuang Huang,et al.  Independent component analysis-based penalized discriminant method for tumor classification using gene expression data , 2006, Bioinform..

[49]  M. Järvelin,et al.  Are females at special risk of obesity if they become psychotic? The longitudinal Northern Finland 1966 Birth Cohort Study , 2006, Schizophrenia Research.

[50]  Greg Ridgeway,et al.  Generalized Boosted Models: A guide to the gbm package , 2006 .

[51]  M. Malone.  Medications Associated with Weight Gain , 2005, The Annals of pharmacotherapy.

[52]  K. Midthjell,et al.  Change in body mass index and its impact on blood pressure: a prospective population study , 2005, International Journal of Obesity.

[53]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[54]  Weight-height relationships and body mass index: some observations from the Diverse Populations Collaboration. , 2005, American journal of physical anthropology.

[55]  D. Altman,et al.  CONSORT statement: extension to cluster randomised trials , 2004, BMJ : British Medical Journal.

[56]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[57]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[58]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[59]  Christian R. Dolder,et al.  Prevalence of and risk factors for medication nonadherence in patients with schizophrenia: a comprehensive review of recent literature. , 2002, The Journal of clinical psychiatry.

[60]  D. Moher,et al.  Use of the CONSORT statement and quality of reports of randomized trials: a comparative before-and-after evaluation. , 2001, JAMA.

[61]  A. Bauman,et al.  The relationship between body mass index and waist circumference: implications for estimates of the population prevalence of overweight , 2000, International Journal of Obesity.

[62]  Arthur E. Hoerl,et al.  Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.

[63]  M. Heo,et al.  Antipsychotic-induced weight gain: a comprehensive research synthesis. , 1999, The American journal of psychiatry.

[64]  J. Birtwistle,et al.  The unhealthy lifestyle of people with schizophrenia , 1999, Psychological Medicine.

[65]  J. Lieberman,et al.  Psychobiologic Correlates of Treatment Response in Schizophrenia , 1996, Neuropsychopharmacology.

[66]  A. B. Prasad,et al.  British National Formulary , 1994 .

[67]  N. Altman.  An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .

[68]  P. Hay,et al.  Eating disorder patient referrals from a population region 1977–1986 , 1991, Psychological Medicine.

[69]  A. E. Hoerl,et al.  Ridge Regression: Applications to Nonorthogonal Problems , 1970 .