Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder
暂无分享,去创建一个
[1] A. Baranova,et al. Shared genetics and causal associations between COVID‐19 and multiple sclerosis , 2022, Journal of medical virology.
[2] A. Baranova,et al. A phenome‐wide investigation of risk factors for severe COVID‐19 , 2022, Journal of medical virology.
[3] M. Ren,et al. Psychiatric disorders and Type 2 diabetes mellitus: A bidirectional Mendelian randomization , 2022, European journal of clinical investigation.
[4] L. Cai,et al. Investigating genetic causal relationships between blood pressure and anxiety, depressive symptoms, neuroticism and subjective well-being , 2022, General Psychiatry.
[5] Bin Zhang,et al. Handgrip strength and the risk of major depressive disorder: a two-sample Mendelian randomisation study , 2022, General Psychiatry.
[6] Lin Qiu,et al. Association of gestational diabetes mellitus with overall and type specific cardiovascular and cerebrovascular diseases: systematic review and meta-analysis , 2022, BMJ.
[7] A. Baranova,et al. Bidirectional causal associations between type 2 diabetes and COVID‐19 , 2022, Journal of medical virology.
[8] A. Baranova,et al. Genetic Relationships between Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and Intelligence , 2022, Neuropsychobiology.
[9] A. Baranova,et al. Shared genetics between autism spectrum disorder and attention-deficit/hyperactivity disorder and their association with extraversion , 2022, Psychiatry Research.
[10] P. Lichtenstein,et al. The role of ADHD genetic risk in mid-to-late life somatic health conditions , 2022, Translational Psychiatry.
[11] M. Daly,et al. Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains , 2022, European Neuropsychopharmacology.
[12] J. Olefsky,et al. Inflammation in obesity, diabetes, and related disorders. , 2022, Immunity.
[13] B. Franke,et al. Insulinopathies of the brain? Genetic overlap between somatic insulin-related and neuropsychiatric disorders , 2021, Translational Psychiatry.
[14] 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.
[15] B. Duncan,et al. IDF diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045 , 2021, Diabetes Research and Clinical Practice.
[16] Kenneth H. Rubin,et al. Prevalence of type 2 diabetes in psychiatric disorders: an umbrella review with meta-analysis of 245 observational studies from 32 systematic reviews , 2021, Diabetologia.
[17] S. Medland,et al. Large-scale genetic investigation reveals genetic liability to multiple complex traits influencing a higher risk of ADHD , 2021, Scientific Reports.
[18] M. Laakso,et al. The “Common Soil Hypothesis” Revisited—Risk Factors for Type 2 Diabetes and Cardiovascular Disease , 2021, Metabolites.
[19] C. Peixoto,et al. Shared metabolic and neuroimmune mechanisms underlying Type 2 Diabetes Mellitus and Major Depressive Disorder , 2021, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[20] G. Nefs,et al. Psychiatric disorders as risk factors for type 2 diabetes: an umbrella review of systematic reviews with and without meta-analyses. , 2021, Diabetes research and clinical practice.
[21] S. Larsson,et al. Genetically predicted education attainment in relation to somatic and mental health , 2021, Scientific Reports.
[22] C. Lavebratt,et al. Proinflammatory mediators and their associations with medication and comorbid traits in children and adults with ADHD , 2020, European Neuropsychopharmacology.
[23] Fuquan Zhang,et al. Multi-trait analysis for genome-wide association study of five psychiatric disorders , 2020, Translational Psychiatry.
[24] M. Gissler,et al. Relationship of prenatal maternal obesity and diabetes to offspring neurodevelopmental and psychiatric disorders: a narrative review , 2020, International Journal of Obesity.
[25] Fuquan Zhang,et al. Identifying common genome-wide risk genes for major psychiatric traits , 2019, Human Genetics.
[26] Alicia R. Martin,et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder , 2018, Nature Genetics.
[27] Valeriia Haberland,et al. The MR-Base platform supports systematic causal inference across the human phenome , 2018, eLife.
[28] Evangelos Evangelou,et al. Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses , 2018, PloS one.
[29] S. Djurovic,et al. Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation , 2017, bioRxiv.
[30] D. Posthuma,et al. Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.
[31] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[32] E. Willcutt. The Prevalence of DSM-IV Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Review , 2012, Neurotherapeutics.
[33] Michael Fitzgerald,et al. European consensus statement on diagnosis and treatment of adult ADHD: The European Network Adult ADHD , 2010, BMC psychiatry.
[34] Michael Boehnke,et al. LocusZoom: regional visualization of genome-wide association scan results , 2010, Bioinform..
[35] Sergei Egorov,et al. Pathway studio - the analysis and navigation of molecular networks , 2003, Bioinform..