Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression

Yanni Zeng; Pau Navarro; Charley Xin; Carmen Amador; Ana M. Fernandez-pujals; Pippa A. Thomson; Archie Campbell; Reka Nagy; Toni-kim Clarke; Jonathan D. Hafferty; Blair H. Smith; Lynne J. Hocking; Sandosh Padmanabhan; Caroline Hayward; Donald J. Macintyre; David J Porteous; Chris S. Haley; Andrew M. Mcintosh

doi:10.1016/j.ebiom.2016.11.003

Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression

Yanni Zeng, Pau Navarro, Charley Xin, Carmen Amador, Ana M. Fernandez-pujals, Pippa A. Thomson, Archie Campbell, Reka Nagy, Toni-kim Clarke, Jonathan D. Hafferty, Blair H. Smith, Lynne J. Hocking, Sandosh Padmanabhan, Caroline Hayward, Donald J. Macintyre, David J Porteous, Chris S. Haley, Andrew M. Mcintosh

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Both genetic and environmental factors contribute to risk of depression, but estimates of their rela- tive 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 (GS:SFHS, N = 19,994), we estimated the genetic and environmental variance components for MDD and SDD. The components representing the genetic effect as- sociated with genome-wide common genetic variants (SNP heritability), the additional pedigree-associated ge- netic 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 com- mon 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.

Original language	English
Pages (from-to)	161-167
Journal	EBioMedicine
Volume	14
Early online date	4 Nov 2016
DOIs	https://doi.org/10.1016/j.ebiom.2016.11.003
Publication status	Published - 14 Dec 2016

Keywords

Major Depressive Disorder
Self-declared depression
SNP heritability
couple effect
family environment
linear mixed modeling

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10.1016/j.ebiom.2016.11.003

Shared Genetics and Couple-Associated Environment Are Major Contributors to the Risk of Both Clinical and Self-Declared Depression
© 2016 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Final published version, 725 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

Stratifying Resilience and Depression Longitudinally
McIntosh, A., Deary, I., Evans, K., Haley, C. & Porteous, D.
UK-based charities
1/01/15 → 30/06/21
Project: Research
RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I., Gale, C., Holmes, M., Logie, P., Maclullich, A., Porteous, D., Seckl, J., Starr, J., Wardlaw, J. & Okely, J.
1/09/13 → 31/08/19
Project: Research
ISP1: Analysis and prediction in complex animal systems
Tenesa, A., Archibald, A., Beard, P., Bishop, S., Bronsvoort, M., Burt, D., Freeman, T., Haley, C., Hocking, P., Houston, R., Hume, D., Joshi, A., Law, A., Michoel, T., Summers, K., Vernimmen, D., Watson, M., Wiener, P., Wilson, A., Woolliams, J., Ait-Ali, T., Barnett, M., Carlisle, A., Finlayson, H., Haga, I., Karavolos, M., Matika, O., Paterson, T., Paton, B., Pong-Wong, R., Robert, C. & Robertson, G.
BBSRC
1/04/12 → 31/03/17
Project: Research

Chris Haley
- chris.haleyroslin.ed.acuk
- MRC Human Genetics Unit
- Deanery of Molecular, Genetic and Population Health Sciences - Visitor: Default Visitor
Person: Academic: Research Active , Affiliated Independent Researcher

Cite this

Zeng, Y., Navarro, P., Xin, C., Amador, C., Fernandez-pujals, A. M., Thomson, P. A., Campbell, A., Nagy, R., Clarke, T., Hafferty, J. D., Smith, B. H., Hocking, L. J., Padmanabhan, S., Hayward, C., Macintyre, D. J., Porteous, D. J., Haley, C. S., & Mcintosh, A. M. (2016). Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression. EBioMedicine, 14, 161-167. https://doi.org/10.1016/j.ebiom.2016.11.003

@article{5e49acc0b73240909e2c045825bb116d,

title = "Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression",

abstract = "Background: Both genetic and environmental factors contribute to risk of depression, but estimates of their rela- tive 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 (GS:SFHS, N = 19,994), we estimated the genetic and environmental variance components for MDD and SDD. The components representing the genetic effect as- sociated with genome-wide common genetic variants (SNP heritability), the additional pedigree-associated ge- netic 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 com- mon 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.",

keywords = "Major Depressive Disorder, Self-declared depression, SNP heritability, couple effect, family environment, linear mixed modeling",

author = "Yanni Zeng and Pau Navarro and Charley Xin and Carmen Amador and Fernandez-pujals, {Ana M.} and Thomson, {Pippa A.} and Archie Campbell and Reka Nagy and Toni-kim Clarke and Hafferty, {Jonathan D.} and Smith, {Blair H.} and Hocking, {Lynne J.} and Sandosh Padmanabhan and Caroline Hayward and Macintyre, {Donald J.} and Porteous, {David J} and Haley, {Chris S.} and Mcintosh, {Andrew M.}",

year = "2016",

month = dec,

day = "14",

doi = "10.1016/j.ebiom.2016.11.003",

language = "English",

volume = "14",

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journal = "EBioMedicine",

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publisher = "Elsevier B.V.",

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Zeng, Y, Navarro, P, Xin, C, Amador, C, Fernandez-pujals, AM, Thomson, PA , Campbell, A, Nagy, R, Clarke, T, Hafferty, JD, Smith, BH, Hocking, LJ, Padmanabhan, S, Hayward, C , Macintyre, DJ, Porteous, DJ, Haley, CS & Mcintosh, AM 2016, 'Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression', EBioMedicine, vol. 14, pp. 161-167. https://doi.org/10.1016/j.ebiom.2016.11.003

TY - JOUR

T1 - Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression

AU - Zeng, Yanni

AU - Navarro, Pau

AU - Xin, Charley

AU - Amador, Carmen

AU - Fernandez-pujals, Ana M.

AU - Thomson, Pippa A.

AU - Campbell, Archie

AU - Nagy, Reka

AU - Clarke, Toni-kim

AU - Hafferty, Jonathan D.

AU - Smith, Blair H.

AU - Hocking, Lynne J.

AU - Padmanabhan, Sandosh

AU - Hayward, Caroline

AU - Macintyre, Donald J.

AU - Porteous, David J

AU - Haley, Chris S.

AU - Mcintosh, Andrew M.

PY - 2016/12/14

Y1 - 2016/12/14

N2 - Background: Both genetic and environmental factors contribute to risk of depression, but estimates of their rela- tive 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 (GS:SFHS, N = 19,994), we estimated the genetic and environmental variance components for MDD and SDD. The components representing the genetic effect as- sociated with genome-wide common genetic variants (SNP heritability), the additional pedigree-associated ge- netic 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 com- mon 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.

AB - Background: Both genetic and environmental factors contribute to risk of depression, but estimates of their rela- tive 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 (GS:SFHS, N = 19,994), we estimated the genetic and environmental variance components for MDD and SDD. The components representing the genetic effect as- sociated with genome-wide common genetic variants (SNP heritability), the additional pedigree-associated ge- netic 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 com- mon 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.

KW - Major Depressive Disorder

KW - Self-declared depression

KW - SNP heritability

KW - couple effect

KW - family environment

KW - linear mixed modeling

U2 - 10.1016/j.ebiom.2016.11.003

DO - 10.1016/j.ebiom.2016.11.003

M3 - Article

VL - 14

SP - 161

EP - 167

JO - EBioMedicine

JF - EBioMedicine

SN - 2352-3964

ER -

Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression

Abstract

Keywords

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Projects

Stratifying Resilience and Depression Longitudinally

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.

ISP1: Analysis and prediction in complex animal systems

Profiles

Chris Haley

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