Self‐reported medication use as an alternate phenotyping method for anxiety and depression in the UK Biobank
暂无分享,去创建一个
G. Breen | H. Gaspar | T. Eley | Christopher Hübel | J. Coleman | K. Glanville | K. Purves | C. Rayner | Avina K Hunjan | C. Hübel | M. Skelton | Avina K. Hunjan | Héléna A. Gaspar
[1] G. Breen,et al. Multiple measures of depression to enhance validity of major depressive disorder in the UK Biobank , 2020, BJPsych Open.
[2] G. Breen,et al. Evaluation of polygenic prediction methodology within a reference-standardized framework , 2020, bioRxiv.
[3] G. Breen,et al. Sociodemographic inequalities in lifetime treatment seeking and receipt for common mental health problems , 2020 .
[4] J. Potash,et al. Minimal phenotyping yields genome-wide association signals of low specificity for major depression , 2020, Nature Genetics.
[5] C. Sudlow,et al. Mental health in UK Biobank – development, implementation and results from an online questionnaire completed by 157 366 participants: a reanalysis , 2020, BJPsych open.
[6] John P. Rice,et al. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank , 2019, Molecular Psychiatry.
[7] M. Hotopf,et al. Indicators of mental disorders in UK Biobank—A comparison of approaches , 2019, International journal of methods in psychiatric research.
[8] G. Breen,et al. The genetic and environmental hierarchical structure of anxiety and depression in the UK Biobank , 2019, Depression and anxiety.
[9] P. O’Reilly,et al. PRSice-2: Polygenic Risk Score software for biobank-scale data , 2019, GigaScience.
[10] P. Visscher,et al. Genome-wide association study of medication-use and associated disease in the UK Biobank , 2019, Nature Communications.
[11] T. Werge,et al. The Common Genetic Architecture of Anxiety Disorders , 2017, bioRxiv.
[12] P. Sullivan,et al. Uncovering the Genetic Architecture of Major Depression , 2019, Neuron.
[13] J. Deckert,et al. Genetics of Anxiety Disorders , 2019, Current Psychiatry Reports.
[14] Blair H. Smith,et al. Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP , 2019, The Pharmacogenomics Journal.
[15] R. Marioni,et al. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions , 2018, Nature Neuroscience.
[16] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[17] Warren W. Kretzschmar,et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression , 2017, Nature Genetics.
[18] S. Lawrie,et al. Self-reported medication use validated through record linkage to national prescribing data , 2017, Journal of clinical epidemiology.
[19] E. Banks,et al. Ascertainment of self-reported prescription medication use compared with pharmaceutical claims data. , 2017, Public health research & practice.
[20] John P. Rice,et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype , 2017, Biological Psychiatry.
[21] C. Sudlow,et al. Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population , 2017, American journal of epidemiology.
[22] C. Lewis,et al. Genetics of Depression: Progress at Last , 2017, Current Psychiatry Reports.
[23] Ian J. Deary,et al. Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank , 2017, bioRxiv.
[24] D. Hinds,et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent , 2016, Nature Genetics.
[25] H. Möller,et al. The relevance of ‘mixed anxiety and depression’ as a diagnostic category in clinical practice , 2016, European Archives of Psychiatry and Clinical Neuroscience.
[26] Warren W. Kretzschmar,et al. Sparse whole genome sequencing identifies two loci for major depressive disorder , 2015, Nature.
[27] M. Daly,et al. An Atlas of Genetic Correlations across Human Diseases and Traits , 2015, Nature Genetics.
[28] 田原 康玄,et al. 生活習慣病とgenome-wide association study , 2015 .
[29] P. Elliott,et al. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age , 2015, PLoS medicine.
[30] H. Zheng,et al. Performance of Genotype Imputation for Low Frequency and Rare Variants from the 1000 Genomes , 2015, PloS one.
[31] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[32] Jianxin Shi,et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs , 2013, Nature Genetics.
[33] P. Visscher,et al. A Better Coefficient of Determination for Genetic Profile Analysis , 2012, Genetic epidemiology.
[34] E. Walker,et al. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[35] J. Hettema. What is the genetic relationship between anxiety and depression? , 2008, American journal of medical genetics. Part C, Seminars in medical genetics.
[36] A. Caspi,et al. Depression and generalized anxiety disorder: cumulative and sequential comorbidity in a birth cohort followed prospectively to age 32 years. , 2007, Archives of general psychiatry.
[37] D. Watson,et al. The structure of common DSM-IV and ICD-10 mental disorders in the Australian general population , 2006, Psychological Medicine.
[38] M C Neale,et al. A review and meta-analysis of the genetic epidemiology of anxiety disorders. , 2001, The American journal of psychiatry.
[39] P. Sullivan,et al. Genetic epidemiology of major depression: review and meta-analysis. , 2000, The American journal of psychiatry.
[40] K. Kendler,et al. A twin study of generalized anxiety disorder and major depression , 1995, Psychological Medicine.
[41] M C Neale,et al. Major depression and generalized anxiety disorder. Same genes, (partly) different environments? , 1992, Archives of general psychiatry.
[42] D. Watson,et al. Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications. , 1991, Journal of abnormal psychology.
[43] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[44] S. Mineka,et al. Comorbidity of anxiety and unipolar mood disorders. , 1998, Annual review of psychology.
[45] R. Marioni,et al. Edinburgh Research Explorer Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways , 2022 .