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Archives of Women'S Mental Health|July 20, 2014
Applying polygenic risk scores to postpartum depressionEnda M Byrne, Tania Carrillo-Roa, Brenda W J H Penninx, et al.
The Journal of Investigative Dermatology|November 23, 2021
Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous MelanomaUpekha E Liyanage, Stuart MacGregor, D Timothy Bishop, et al.
Plos Genetics|August 6, 2016
Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration LociSamuel E Jones, Jessica Tyrrell, Andrew R Wood, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|September 30, 2021
Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression riskAmy E Miles, Fernanda C Dos Santos, Enda M Byrne, et al.
Biological Psychiatry|November 14, 2017
Does Childhood Trauma Moderate Polygenic Risk for Depression? A Meta-analysis of 5765 Subjects From the Psychiatric Genomics ConsortiumWouter J Peyrot, Sandra Van der Auwera, Yuri Milaneschi, et al.
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)|September 16, 2024
Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohortSimon Hartmann, Dominic Dwyer, Blake Cavve, et al.
Frontiers in Psychiatry|August 22, 2022
Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysisLindsay M Melhuish Beaupre, Arun K Tiwari, Vanessa F Gonçalves, et al.
Frontiers in Psychiatry|December 20, 2021
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score AnalysisLindsay M Melhuish Beaupre, Arun K Tiwari, Vanessa F Gonçalves, et al.
Nature Genetics|April 2, 2020
Minimal phenotyping yields genome-wide association signals of low specificity for major depressionNa Cai, Joana A Revez, Mark J Adams, et al.
Nature Communications|January 31, 2019
Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythmsSamuel E Jones, Jacqueline M Lane, Andrew R Wood, et al.
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