Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 54,982 bioRxiv papers from 253,713 authors.

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Preprints

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.

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  • In genetics: 74 out of 3,181
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  • Site-wide: 278 out of 54,982
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Genome-wide association study of depression phenotypes in UK Biobank (n = 322,580) identifies the enrichment of variants in excitatory synaptic pathways

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  • In genetics: 154 out of 3,181
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Identification of 55,000 Replicated DNA Methylation QTL

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  • In genomics: 1,268 out of 3,896
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The Stratification Of Major Depressive Disorder Into Genetic Subgroups

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Do Regional Brain Volumes and Major Depressive Disorder Share Genetic Architecture: a study in Generation Scotland (n=19,762), UK Biobank (n=24,048) and the English Longitudinal Study of Ageing (n=5,766)

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Genome-Wide Meta-Analyses Of Stratified Depression In Generation Scotland And UK Biobank

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  • In genetics: 915 out of 3,181
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Genetic and environmental risk for chronic pain and the contribution of risk variants for psychiatric disorders. Results from Generation Scotland: Scottish Family Health Study and UK Biobank

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  • Site-wide: 42,891 out of 54,982

DNA methylation age acceleration and risk factors for Alzheimer's disease

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Accelerated Epigenetic Ageing in Major Depressive Disorder

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  • In genomics: 2,410 out of 3,896
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Dissection of Major Depressive Disorder using polygenic risk scores for Schizophrenia in two independent cohort.

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  • In neuroscience: 4,657 out of 9,690
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A meta-analysis of genome-wide association studies of epigenetic age acceleration

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Association of whole-genome and NETRIN1 signaling pathway-derived polygenic risk scores for Major Depressive Disorder and thalamic radiation white matter microstructure in UK Biobank

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• Year to date:
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  • Site-wide: 34,000 out of 54,982

Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measures

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  • In neuroscience: 8,803 out of 9,690
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