Stratifying Resilience and Depression Longitudinally

Search results

• STratifying Resilience and Depression Longitudinally (STRADL): A depression-focused investigation of Generation Scotland, using detailed clinical, cognitive, and neuroimaging assessments

  Adams, M. (Creator), McIntosh, A. (Owner), Hawkins, E. (Data Manager), Habota, T. (Creator), Steele, J. D. (Creator), Whalley, H. (Creator), Porteous, D. (Project Leader), Deary, I. (Project Leader), Murray, A. (Creator) & Campbell, A. (Data Manager), Edinburgh DataVault, 2019

  DOI: 10.7488/8f68f1ae-0329-4b73-b189-c7288ea844d7

  Dataset

• Genetic contributions to two special factors of neuroticism are associated with affluence, higher intelligence, better health, and longer life

  Hill, D. (Creator), Edinburgh DataShare, 16 Sept 2020

  DOI: 10.7488/ds/2922

  Dataset

• Genome-wide association summary statistics of antidepressant treatment resistance meta-analysis

  Wigmore, E. (Creator), Hafferty, J. (Creator), Hall, L. (Creator), Howard, D. (Creator), Clarke, T.-K. (Creator), Fabbri, C. (Creator), Lewis, C. (Creator), Navrady, L. (Creator), Adams, M. (Creator), Zeng, Y. (Creator), Campbell, A. (Creator), Gibson, J. (Creator), Thomson, P. (Creator), Hayward, C. (Creator), Smith, B. (Creator), Hocking, L. (Creator), Padmanabhan, S. (Creator), Deary, I. (Creator), Porteous, D. (Creator), Mors, O. (Creator), Mattheisen, M. (Creator), Uher, R. (Creator), Nicodemus, K. (Creator) & McIntosh, A. (Creator), Edinburgh DataShare, 31 Mar 2020

  DOI: 10.7488/ds/2791

  Dataset

• Summary statistics for three depression phenotypes in UK Biobank.

  Howard, D. M. (Creator), Adams, M. J. (Creator), Shirali, M. (Creator), Clarke, T.-K. (Creator), Marioni, R. (Creator), Davies, G. (Creator), Alloza, C. (Creator), Shen, X. (Creator), Barbu, M. (Creator), Wigmore, E. (Creator), Gibson, J. (Creator), Hagenaars, S. (Creator), Lewis, C. M. (Creator), Ward, J. (Creator), Haley, C. (Creator), Breen, G. (Creator), Deary, I. (Creator) & McIntosh, A. (Creator), Edinburgh DataShare, 5 Mar 2018

  DOI: 10.7488/ds/2350

  Dataset

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

  Howard, D. (Creator), Adams, M. (Creator), Clarke, T.-K. (Creator), Hafferty, J. (Creator), Gibson, J. (Creator), Shirali, M. (Creator), Coleman, J. (Creator), Ward, J. (Creator), Wigmore, E. (Creator), Alloza, C. (Creator), Barbu, M. (Creator), Xu, E. (Creator), Sibley, H. (Creator), Marioni, R. (Creator), Porteous, D. (Creator), Davies, G. (Creator), Deary, I. (Creator), Hemani, G. (Creator), Tian, C. (Creator), Hinds, D. (Creator), Team, 2. R. (Creator), Consortium, M. D. D. W. G. O. T. P. G. (Creator), Trzaskowshi, M. (Creator), Byrne, E. (Creator), Ripke, S. (Creator), Smith, D. (Creator), Sullivan, P. (Creator), Wray, N. (Creator), Breen, G. (Creator), Shen, X. (Creator), Lewis, C. (Creator) & McIntosh, A. (Creator), Edinburgh DataShare, 30 Jan 2019

  DOI: 10.7488/ds/2458

  Dataset