Interaction of marital status and genetic risk for symptoms of depression

Andrew C. Heath; Lindon J. Eaves; Nicholas G. Martin

doi:10.1375/twin.1.3.119

Interaction of marital status and genetic risk for symptoms of depression

Andrew C. Heath, Lindon J. Eaves, Nicholas G. Martin

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

61 Scopus citations

Abstract

Depression scores (DSSI) were available for 1232 MZ and 751 DZ female twin pairs who completed a mailed questionnaire. Pairs were divided into those concordant for being in a marriage-like state, concordant for having no partners, and those discordant. The pattern of twin correlations differed according to marital status. Our results suggest that having a marriage-like relationship acts as a protective factor in reducing the impact of inherited liability to symptoms of depression in the general population.

Original language	English
Pages (from-to)	119-122
Number of pages	4
Journal	Twin Research
Volume	1
Issue number	3
DOIs	https://doi.org/10.1375/twin.1.3.119
State	Published - 1998

Keywords

Genotype environment interaction
Marital status
Twins
depression

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10.1375/twin.1.3.119

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title = "Interaction of marital status and genetic risk for symptoms of depression",

abstract = "Depression scores (DSSI) were available for 1232 MZ and 751 DZ female twin pairs who completed a mailed questionnaire. Pairs were divided into those concordant for being in a marriage-like state, concordant for having no partners, and those discordant. The pattern of twin correlations differed according to marital status. Our results suggest that having a marriage-like relationship acts as a protective factor in reducing the impact of inherited liability to symptoms of depression in the general population.",

keywords = "Genotype environment interaction, Marital status, Twins, depression",

author = "Heath, {Andrew C.} and Eaves, {Lindon J.} and Martin, {Nicholas G.}",

note = "Funding Information: Data collection was supported by grants from the Australian National Health and Medical Research Counci l and the A ustral i an A ssoci ated Brew ers. Data analysis was supported by grants AA06781 and MH40828. We thank Rosemary Jardine for her role in analysis and Greg Carey, John Hewitt and Ken Kendler for comments on earlier drafts.",

year = "1998",

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T1 - Interaction of marital status and genetic risk for symptoms of depression

AU - Heath, Andrew C.

AU - Eaves, Lindon J.

AU - Martin, Nicholas G.

N1 - Funding Information: Data collection was supported by grants from the Australian National Health and Medical Research Counci l and the A ustral i an A ssoci ated Brew ers. Data analysis was supported by grants AA06781 and MH40828. We thank Rosemary Jardine for her role in analysis and Greg Carey, John Hewitt and Ken Kendler for comments on earlier drafts.

PY - 1998

Y1 - 1998

N2 - Depression scores (DSSI) were available for 1232 MZ and 751 DZ female twin pairs who completed a mailed questionnaire. Pairs were divided into those concordant for being in a marriage-like state, concordant for having no partners, and those discordant. The pattern of twin correlations differed according to marital status. Our results suggest that having a marriage-like relationship acts as a protective factor in reducing the impact of inherited liability to symptoms of depression in the general population.

AB - Depression scores (DSSI) were available for 1232 MZ and 751 DZ female twin pairs who completed a mailed questionnaire. Pairs were divided into those concordant for being in a marriage-like state, concordant for having no partners, and those discordant. The pattern of twin correlations differed according to marital status. Our results suggest that having a marriage-like relationship acts as a protective factor in reducing the impact of inherited liability to symptoms of depression in the general population.

KW - Genotype environment interaction

KW - Marital status

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KW - depression

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JO - Twin Research

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ER -

Interaction of marital status and genetic risk for symptoms of depression

Abstract

Keywords

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