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Shared Genetics and Couple-Associated Environment Are Major Contributors to the Risk of Both Clinical and Self-Declared Depression.
Zeng, Yanni; Navarro, Pau; Xia, Charley; Amador, Carmen; Fernandez-Pujals, Ana M; Thomson, Pippa A; Campbell, Archie; Nagy, Reka; Clarke, Toni-Kim; Hafferty, Jonathan D; Smith, Blair H; Hocking, Lynne J; Padmanabhan, Sandosh; Hayward, Caroline; MacIntyre, Donald J; Porteous, David J; Haley, Chris S; McIntosh, Andrew M.
Affiliation
  • Zeng Y; Division of Psychiatry, University of Edinburgh, Edinburgh, UK. Electronic address: Y.Zeng-6@sms.ed.ac.uk.
  • Navarro P; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Xia C; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Amador C; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Fernandez-Pujals AM; Division of Psychiatry, University of Edinburgh, Edinburgh, UK.
  • Thomson PA; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Campbell A; Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Nagy R; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Clarke TK; Division of Psychiatry, University of Edinburgh, Edinburgh, UK.
  • Hafferty JD; Division of Psychiatry, University of Edinburgh, Edinburgh, UK.
  • Smith BH; Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Division of Population Health Sciences, University of Dundee, Dundee, UK.
  • Hocking LJ; Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
  • Padmanabhan S; Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
  • Hayward C; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • MacIntyre DJ; Division of Psychiatry, University of Edinburgh, Edinburgh, UK.
  • Porteous DJ; Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Medical Genetics Section, Centre for Genomi
  • Haley CS; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK; The Roslin Institute and Royal (Dick) School of Veterinary Sciences, University of Edinburgh, UK.
  • McIntosh AM; Division of Psychiatry, University of Edinburgh, Edinburgh, UK; Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinb
EBioMedicine ; 14: 161-167, 2016 Dec.
Article in En | MEDLINE | ID: mdl-27838479
ABSTRACT

BACKGROUND:

Both genetic and environmental factors contribute to risk of depression, but estimates of their relative contributions are limited. Commonalities between clinically-assessed major depressive disorder (MDD) and self-declared depression (SDD) are also unclear.

METHODS:

Using data from a large Scottish family-based cohort (GSSFHS, N=19,994), we estimated the genetic and environmental variance components for MDD and SDD. The components representing the genetic effect associated with genome-wide common genetic variants (SNP heritability), the additional pedigree-associated genetic effect and non-genetic effects associated with common environments were estimated in a linear mixed model (LMM).

FINDINGS:

Both MDD and SDD had significant contributions from components representing the effect from common genetic variants, the additional genetic effect associated with the pedigree and the common environmental effect shared by couples. The estimate of correlation between SDD and MDD was high (r=1.00, se=0.20) for common-variant-associated genetic effect and lower for the additional genetic effect from the pedigree (r=0.57, se=0.08) and the couple-shared environmental effect (r=0.53, se=0.22).

INTERPRETATION:

Both genetics and couple-shared environmental effects were major factors influencing liability to depression. SDD may provide a scalable alternative to MDD in studies seeking to identify common risk variants. Rarer variants and environmental effects may however differ substantially according to different definitions of depression.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Predisposition to Disease / Depression / Environment / Self Report / Gene-Environment Interaction Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: EBioMedicine Year: 2016 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Predisposition to Disease / Depression / Environment / Self Report / Gene-Environment Interaction Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: EBioMedicine Year: 2016 Document type: Article