Edinburgh Research Explorer Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways
暂无分享,去创建一个
A. Auton | V. Vacic | K. Bryc | S. Shringarpure | J. Tung | J. Mountain | N. Furlotte | P. Fontanillas | A. Kleinman | C. Tian | S. Pitts | S. Elson | N. Litterman | J. Shelton | J. Sathirapongsasuti | M. McIntyre | R. Bell | K. Huber | C. Northover | J. McCreight | E. Noblin | D. Hinds | C. Wilson | O. Sazonova
[1] C. Haley,et al. Haplotype Heritability Mapping Method Uncovers Missing Heritability of Complex Traits , 2018, Scientific Reports.
[2] Warren W. Kretzschmar,et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression , 2017, Nature Genetics.
[3] P. Donnelly,et al. Genome-wide genetic data on ~500,000 UK Biobank participants , 2017, bioRxiv.
[4] Blair H. Smith,et al. The Stratification Of Major Depressive Disorder Into Genetic Subgroups , 2017 .
[5] S. Mathew,et al. Targeting glutamate signalling in depression: progress and prospects , 2017, Nature Reviews Drug Discovery.
[6] The Gene Ontology Consortium,et al. Expansion of the Gene Ontology knowledgebase and resources , 2016, Nucleic Acids Res..
[7] N. Wray,et al. Meta-analysis of genome-wide association studies of anxiety disorders , 2016, Molecular Psychiatry.
[8] D. Hinds,et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent , 2016, Nature Genetics.
[9] Tom R. Gaunt,et al. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis , 2016, bioRxiv.
[10] J. Wellmann,et al. Pain Sensitivity in Patients With Major Depression: Differential Effect of Pain Sensitivity Measures, Somatic Cofactors, and Disease Characteristics. , 2016, The journal of pain : official journal of the American Pain Society.
[11] Joseph K. Pickrell,et al. Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses , 2016, Nature Genetics.
[12] A. Dehghan,et al. Polygenic dissection of major depression clinical heterogeneity , 2016, Molecular Psychiatry.
[13] C. Spencer,et al. A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects: CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium , 2016, bioRxiv.
[14] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[15] Warren W. Kretzschmar,et al. Sparse whole genome sequencing identifies two loci for major depressive disorder , 2015, Nature.
[16] S. Thompson,et al. An excitatory synapse hypothesis of depression , 2015, Trends in Neurosciences.
[17] Joris M. Mooij,et al. MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..
[18] R. Gao,et al. Common mechanisms of excitatory and inhibitory imbalance in schizophrenia and autism spectrum disorders. , 2015, Current molecular medicine.
[19] J. Hirschhorn,et al. Biological interpretation of genome-wide association studies using predicted gene functions , 2015, Nature Communications.
[20] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[21] Ronald S Duman,et al. NEUROBIOLOGY OF STRESS, DEPRESSION, AND RAPID ACTING ANTIDEPRESSANTS: REMODELING SYNAPTIC CONNECTIONS , 2014, Depression and anxiety.
[22] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[23] Jonathan J. Evans,et al. Prevalence and Characteristics of Probable Major Depression and Bipolar Disorder within UK Biobank: Cross-Sectional Study of 172,751 Participants , 2013, PloS one.
[24] Ellen T. Gelfand,et al. The Genotype-Tissue Expression (GTEx) project , 2013, Nature Genetics.
[25] Peter Kraft,et al. A Genome-Wide Association Study of Depressive Symptoms , 2013, Biological Psychiatry.
[26] R. Huganir,et al. Local potentiation of excitatory synapses by serotonin and its alteration in rodent models of depression , 2013, Nature Neuroscience.
[27] D. Bentley,et al. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 , 2012, Nature Genetics.
[28] P. Visscher,et al. Estimating missing heritability for disease from genome-wide association studies. , 2011, American journal of human genetics.
[29] Josyf Mychaleckyj,et al. Robust relationship inference in genome-wide association studies , 2010, Bioinform..
[30] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[31] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[32] P. Sullivan,et al. Genetic epidemiology of major depression: review and meta-analysis. , 2000, The American journal of psychiatry.
[33] Blair H. Smith,et al. Genome-wide Regional Heritability Mapping Identifies a Locus Within the TOX2 Gene Associated With Major Depressive Disorder , 2017, Biological Psychiatry.
[34] Tanya M. Teslovich,et al. LocusZoom: regional visualization of genome-wide association scan results , 2010, Bioinform..
[35] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .