A multivariate genome-wide association study of psycho-cardiometabolic multimorbidity
暂无分享,去创建一个
B. Penninx | E. Walton | Y. Milaneschi | S. Sebert | C. Cecil | M. Järvelin | J. Pingault | Priyanka Choudhary | V. Baltramonaityte | J. Felix | B.W.J.H. Penninx
[1] R. de Graaf,et al. Depression, cardiometabolic disease, and their co-occurrence after childhood maltreatment: an individual participant data meta-analysis including over 200,000 participants , 2023, BMC Medicine.
[2] A. Dehghan,et al. Pleiotropic genetic architecture and novel loci for C-reactive protein levels , 2022, Nature Communications.
[3] Z. Kutalik,et al. Bias correction for inverse variance weighting Mendelian randomization , 2022, bioRxiv.
[4] D. Easton,et al. Applying Mendelian randomization to appraise causality in relationships between smoking, depression and inflammation , 2022, Scientific reports.
[5] A. Auton,et al. Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways , 2022, Nature Genetics.
[6] Byoungjin Park,et al. Dyslipidaemia—Genotype Interactions with Nutrient Intake and Cerebro-Cardiovascular Disease , 2022, Biomedicines.
[7] S. Djurovic,et al. Shared genetic loci between depression and cardiometabolic traits , 2022, PLoS genetics.
[8] M. Jarvelin,et al. Genetic analysis of over half a million people characterises C-reactive protein loci , 2022, Nature Communications.
[9] Jacob C. Ulirsch,et al. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants , 2021, Nature Genetics.
[10] D. Melzer,et al. 188-LB: Type 2 Diabetes Is Genetically Correlated with Multiple Long-Term Conditions but These Correlations Are Only Partly Explained by BMI , 2021, Diabetes.
[11] Zachary F. Gerring,et al. Symptom-level modelling unravels the shared genetic architecture of anxiety and depression , 2021, Nature Human Behaviour.
[12] B. Penninx,et al. Dissecting Depression Biological and Clinical Heterogeneity-The Importance of Symptom Assessment Resolution. , 2021, JAMA psychiatry.
[13] B. Penninx,et al. Association of inflammation with depression and anxiety: evidence for symptom-specificity and potential causality from UK Biobank and NESDA cohorts , 2021, Molecular Psychiatry.
[14] D. Belsky,et al. Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction , 2021, Nature Genetics.
[15] G. Rojo-Martínez,et al. Association between mental health comorbidity and health outcomes in type 2 diabetes mellitus patients , 2020, Scientific Reports.
[16] H. Aburatani,et al. Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease , 2020, Nature Genetics.
[17] Kyle J. Gaulton,et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation , 2020, Nature Genetics.
[18] M. Paulus,et al. Toll-Like Receptor Signaling in Depression , 2020, Psychoneuroendocrinology.
[19] M. Hotopf,et al. Depression with atypical neurovegetative symptoms shares genetic predisposition with immuno-metabolic traits and alcohol consumption , 2020, Psychological Medicine.
[20] Fuquan Zhang,et al. Multi-trait analysis for genome-wide association study of five psychiatric disorders , 2020, Translational Psychiatry.
[21] Alexander E. Lopez,et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ethnic meta-analysis , 2020, Nature Genetics.
[22] William J. Astle,et al. The Polygenic and Monogenic Basis of Blood Traits and Diseases , 2020, Cell.
[23] A. Hewitt,et al. Using Mendelian randomization to evaluate the causal relationship between serum C-reactive protein levels and age-related macular degeneration , 2020, European Journal of Epidemiology.
[24] H. Sibaii,et al. Toll-like receptors activation, signaling, and targeting: an overview , 2019 .
[25] M. Munafo,et al. Evidence for causal effects of lifetime smoking on risk for depression and schizophrenia: a Mendelian randomisation study , 2019, Psychological Medicine.
[26] Christopher D. Brown,et al. The GTEx Consortium atlas of genetic regulatory effects across human tissues , 2019, Science.
[27] Sebastian M. Armasu,et al. Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes , 2019, Circulation. Genomic and precision medicine.
[28] S. Lewis,et al. Disentangling causal relationships between inflammatory markers and depression: a bidirectional Mendelian randomization analysis , 2019, bioRxiv.
[29] Shing Wan Choi,et al. PRSice-2: Polygenic Risk Score software for biobank-scale data , 2019, GigaScience.
[30] S. Larsson,et al. Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: a Mendelian randomization study , 2019, European heart journal.
[31] N. Wray,et al. Genetic comorbidity between major depression and cardio-metabolic disease, stratified by age at onset of major depression , 2019, bioRxiv.
[32] S. Besnard,et al. Cooperation of the vestibular and cerebellar networks in anxiety disorders and depression , 2019, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[33] V. Vacic,et al. Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways , 2019, Nature Genetics.
[34] Peter B. Jones,et al. Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort , 2019, bioRxiv.
[35] Hunna J. Watson,et al. Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders , 2019, bioRxiv.
[36] Liang Cheng,et al. Exposing the Causal Effect of C-Reactive Protein on the Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study , 2018, Front. Genet..
[37] Guixia Wang,et al. Role of Adaptive and Innate Immunity in Type 2 Diabetes Mellitus , 2018, Journal of diabetes research.
[38] Stephen R. Williams,et al. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. , 2018, American journal of human genetics.
[39] 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.
[40] Anthony J. Payne,et al. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps , 2018, Nature Genetics.
[41] M. Roccia,et al. Stress and Inflammation in Coronary Artery Disease: A Review Psychoneuroendocrineimmunology-Based , 2018, Front. Immunol..
[42] Melissa J. Green,et al. The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controls , 2018, bioRxiv.
[43] Luke R. Lloyd-Jones,et al. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes , 2018, Nature Communications.
[44] Jonathan P. Beauchamp,et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals , 2018, Nature Genetics.
[45] S. Linnarsson,et al. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways , 2018, Nature Genetics.
[46] Stuart J. Ritchie,et al. Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits , 2019, Nature Human Behaviour.
[47] J. Vink,et al. Causal associations between body mass index and mental health: a Mendelian randomisation study , 2018, Journal of Epidemiology & Community Health.
[48] R. Marioni,et al. Edinburgh Research Explorer Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways , 2022 .
[49] Evangelos Evangelou,et al. Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses , 2018, PloS one.
[50] Valeriia Haberland,et al. The MR-Base platform supports systematic causal inference across the human phenome , 2018, eLife.
[51] Changwei Li,et al. Childhood BMI and Adult Type 2 Diabetes, Coronary Artery Diseases, Chronic Kidney Disease, and Cardiometabolic Traits: A Mendelian Randomization Analysis , 2018, Diabetes Care.
[52] Pim van der Harst,et al. Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease , 2017, Circulation research.
[53] Anne Newman,et al. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits , 2017, Psychosomatic medicine.
[54] N. Wray,et al. Genetic Association of Major Depression With Atypical Features and Obesity-Related Immunometabolic Dysregulations , 2017, JAMA psychiatry.
[55] D. Posthuma,et al. Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.
[56] Kathryn S. Burch,et al. Leveraging polygenic functional enrichment to improve GWAS power , 2017, bioRxiv.
[57] N. Chatterjee,et al. Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits , 2017, bioRxiv.
[58] R. Hajar. Risk Factors for Coronary Artery Disease: Historical Perspectives , 2017, Heart views : the official journal of the Gulf Heart Association.
[59] Kristin G Ardlie,et al. Genetic Analysis in UK Biobank Links Insulin Resistance and Transendothelial Migration Pathways to Coronary Artery Disease , 2017, Nature Genetics.
[60] Giovanni Malerba,et al. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes , 2017, Nature Genetics.
[61] Tanya M. Teslovich,et al. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans , 2017, Diabetes.
[62] D. Lawlor,et al. Assessing the Causal Role of Body Mass Index on Cardiovascular Health in Young Adults , 2017, bioRxiv.
[63] B. Horne,et al. The association of depression at any time to the risk of death following coronary artery disease diagnosis , 2017, European heart journal. Quality of care & clinical outcomes.
[64] Markus Perola,et al. Genome-wide Association Study Identifies 27 Loci Influencing Concentrations of Circulating Cytokines and Growth Factors. , 2017, American journal of human genetics.
[65] A. Amare,et al. The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies , 2017, Translational Psychiatry.
[66] Blair H. Smith,et al. Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort , 2016, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.
[67] D. Hinds,et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent , 2016, Nature Genetics.
[68] A. Dehghan,et al. Polygenic dissection of major depression clinical heterogeneity , 2016, Molecular Psychiatry.
[69] J. Licinio,et al. Genetic overlap between type 2 diabetes and depression in Swedish and Danish twin registries , 2016, Molecular Psychiatry.
[70] T. Laursen,et al. Mortality and life expectancy in persons with severe unipolar depression. , 2016, Journal of affective disorders.
[71] William Wheeler,et al. A Powerful Procedure for Pathway-Based Meta-analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations , 2016, bioRxiv.
[72] B. Saltin,et al. Exercise as medicine – evidence for prescribing exercise as therapy in 26 different chronic diseases , 2015, Scandinavian journal of medicine & science in sports.
[73] Nobhojit Roy,et al. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition , 2015, The Lancet.
[74] Ryan Miller,et al. WikiPathways: capturing the full diversity of pathway knowledge , 2015, Nucleic Acids Res..
[75] J. Danesh,et al. A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease , 2016 .
[76] C. Dickens. Depression in People with Coronary Heart Disease: Prognostic Significance and Mechanisms , 2015, Current Cardiology Reports.
[77] M. Daly,et al. An Atlas of Genetic Correlations across Human Diseases and Traits , 2015, Nature Genetics.
[78] Joris M. Mooij,et al. MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..
[79] B. Staels,et al. Functional genomics of the CDKN2A/B locus in cardiovascular and metabolic disease: what have we learned from GWASs? , 2015, Trends in Endocrinology & Metabolism.
[80] Y. Gan,et al. Depression and the risk of coronary heart disease: a meta-analysis of prospective cohort studies , 2014, BMC Psychiatry.
[81] S. Lerakis,et al. Inflammation in Coronary Artery Disease , 2014, Cardiology in review.
[82] B. Nordestgaard,et al. Elevated C-Reactive Protein, Depression, Somatic Diseases, and All-Cause Mortality: A Mendelian Randomization Study , 2014, Biological Psychiatry.
[83] E. Rimm,et al. Fried-food consumption and risk of type 2 diabetes and coronary artery disease: a prospective study in 2 cohorts of US women and men. , 2014, The American journal of clinical nutrition.
[84] F. S. Bersani,et al. The role of cerebellum in unipolar and bipolar depression: a review of the main neurobiological findings. , 2014, Rivista di psichiatria.
[85] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[86] D. McLoughlin,et al. Epigenetics and depression: return of the repressed. , 2014, Journal of affective disorders.
[87] Rui Mei,et al. Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing , 2013, Molecular Psychiatry.
[88] P. Sienaert,et al. Metabolic syndrome and metabolic abnormalities in patients with major depressive disorder: a meta-analysis of prevalences and moderating variables , 2013, Psychological Medicine.
[89] S. Djurovic,et al. Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia , 2013, Molecular Psychiatry.
[90] Antonio Cuadrado,et al. Nrf2 participates in depressive disorders through an anti-inflammatory mechanism , 2013, Psychoneuroendocrinology.
[91] Christian Gieger,et al. The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis , 2013, BDJ.
[92] E. Mannucci,et al. Depression as a risk factor for diabetes: a meta-analysis of longitudinal studies. , 2013, The Journal of clinical psychiatry.
[93] S. Wyke,et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study , 2012, The Lancet.
[94] Paul Scheet,et al. A Genome-Wide Association Scan on the Levels of Markers of Inflammation in Sardinians Reveals Associations That Underpin Its Complex Regulation , 2012, PLoS genetics.
[95] Manuel A. R. Ferreira,et al. Genetic variants in LPL, OASL and TOMM40/APOE-C1-C2-C4 genes are associated with multiple cardiovascular-related traits , 2011, BMC Medical Genetics.
[96] J. de Irala,et al. Fast-food and commercial baked goods consumption and the risk of depression , 2011, Public Health Nutrition.
[97] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..
[98] Thomas W. Mühleisen,et al. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease , 2011, Nature Genetics.
[99] Wei Wang,et al. Genomics Meets Glycomics—The First GWAS Study of Human N-Glycome Identifies HNF1α as a Master Regulator of Plasma Protein Fucosylation , 2010, PLoS genetics.
[100] B. Leonard,et al. Association of high-sensitivity C-reactive protein with de novo major depression , 2010, British Journal of Psychiatry.
[101] B. Leonard. The concept of depression as a dysfunction of the immune system. , 2010, Current immunology reviews.
[102] Michael Boehnke,et al. LocusZoom: regional visualization of genome-wide association scan results , 2010, Bioinform..
[103] Kenneth S Kendler,et al. Major depression and coronary artery disease in the Swedish twin registry: phenotypic, genetic, and environmental sources of comorbidity. , 2009, Archives of general psychiatry.
[104] Sherita Hill Golden,et al. Depression and Type 2 Diabetes Over the Lifespan , 2008, Diabetes Care.
[105] Stafford L. Lightman,et al. The HPA axis in major depression: classical theories and new developments , 2008, Trends in Neurosciences.
[106] Jackie A Cooper,et al. Inflammation, Insulin Resistance, and Diabetes—Mendelian Randomization Using CRP Haplotypes Points Upstream , 2008, PLoS medicine.
[107] H. Kuper,et al. Depression as an aetiologic and prognostic factor in coronary heart disease: a meta-analysis of 6362 events among 146 538 participants in 54 observational studies. , 2006, European heart journal.
[108] Satwat Hashmi,et al. Role of interleukin-17 and interleukin-17-induced cytokines interleukin-6 and interleukin-8 in unstable coronary artery disease , 2006, Coronary artery disease.
[109] JoAnn E Manson,et al. Epidemiological evidence for the role of physical activity in reducing risk of type 2 diabetes and cardiovascular disease. , 2005, Journal of applied physiology.
[110] Hong Xian,et al. A Twin Study of Depression Symptoms, Hypertension, and Heart Disease in Middle‐Aged Men , 2003, Psychosomatic medicine.
[111] W. Strawbridge,et al. Prospective association between obesity and depression: evidence from the Alameda County Study , 2003, International Journal of Obesity.
[112] J. Manson,et al. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. , 2001, JAMA.
[113] K. Freedland,et al. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. , 2001, Diabetes care.
[114] P. Björntorp,et al. The hypothalamic–pituitary–adrenal axis activity as a predictor of cardiovascular disease, type 2 diabetes and stroke , 2000, Journal of internal medicine.
[115] C. Le Page,et al. Interferon activation and innate immunity. , 2000, Reviews in immunogenetics.