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| PMID |
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| TITLE |
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| Shared and specific genetic risk factors for lifetime major depression, depressive symptoms and neuroticism in three population-based twin samples. |
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| ABSTRACT |
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| BACKGROUND |
NlmCategory: BACKGROUND |
| Vulnerability to depression can be measured in different ways. We here examine how genetic risk factors are inter-related for lifetime major depression (MD), self-report current depressive symptoms and the personality trait Neuroticism. |
| METHOD |
NlmCategory: METHODS |
| Vulnerability to depression can be measured in different ways. We here examine how genetic risk factors are inter-related for lifetime major depression (MD), self-report current depressive symptoms and the personality trait Neuroticism. We obtained data from three population-based adult twin samples (Virginia n = 4672, Australia #1 n = 3598 and Australia #2 n = 1878) to which we fitted a common factor model where risk for 'broadly defined depression' was indexed by (i) lifetime MD assessed at personal interview, (ii) depressive symptoms, and (iii) neuroticism. We examined the proportion of genetic risk for MD deriving from the common factor v. specific to MD in each sample and then analyzed them jointly. Structural equation modeling was conducted in Mx. |
| RESULTS |
NlmCategory: RESULTS |
| Vulnerability to depression can be measured in different ways. We here examine how genetic risk factors are inter-related for lifetime major depression (MD), self-report current depressive symptoms and the personality trait Neuroticism. We obtained data from three population-based adult twin samples (Virginia n = 4672, Australia #1 n = 3598 and Australia #2 n = 1878) to which we fitted a common factor model where risk for 'broadly defined depression' was indexed by (i) lifetime MD assessed at personal interview, (ii) depressive symptoms, and (iii) neuroticism. We examined the proportion of genetic risk for MD deriving from the common factor v. specific to MD in each sample and then analyzed them jointly. Structural equation modeling was conducted in Mx. The best fit models in all samples included additive genetic and unique environmental effects. The proportion of genetic effects unique to lifetime MD and not shared with the broad depression common factor in the three samples were estimated as 77, 61, and 65%, respectively. A cross-sample mega-analysis model fit well and estimated that 65% of the genetic risk for MD was unique. |
| CONCLUSION |
NlmCategory: CONCLUSIONS |
| Vulnerability to depression can be measured in different ways. We here examine how genetic risk factors are inter-related for lifetime major depression (MD), self-report current depressive symptoms and the personality trait Neuroticism. We obtained data from three population-based adult twin samples (Virginia n = 4672, Australia #1 n = 3598 and Australia #2 n = 1878) to which we fitted a common factor model where risk for 'broadly defined depression' was indexed by (i) lifetime MD assessed at personal interview, (ii) depressive symptoms, and (iii) neuroticism. We examined the proportion of genetic risk for MD deriving from the common factor v. specific to MD in each sample and then analyzed them jointly. Structural equation modeling was conducted in Mx. The best fit models in all samples included additive genetic and unique environmental effects. The proportion of genetic effects unique to lifetime MD and not shared with the broad depression common factor in the three samples were estimated as 77, 61, and 65%, respectively. A cross-sample mega-analysis model fit well and estimated that 65% of the genetic risk for MD was unique. A large proportion of genetic risk factors for lifetime MD was not, in the samples studied, captured by a common factor for broadly defined depression utilizing MD and self-report measures of current depressive symptoms and Neuroticism. The genetic substrate for MD may reflect neurobiological processes underlying the episodic nature of its cognitive, motor and neurovegetative manifestations, which are not well indexed by current depressive symptom and neuroticism. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| entrez |
2018/12/20 06:00 |
| pubmed |
2018/12/20 06:00 |
| medline |
2018/12/20 06:00 |
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| AUTHORS |
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| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Kendler KS |
|
Kendler |
Kenneth S |
KS |
|
Virginia Institute for Psychiatric and Behavioral Genetics,Richmond, VA,USA. |
| Gardner CO |
|
Gardner |
Charles O |
CO |
|
Virginia Institute for Psychiatric and Behavioral Genetics,Richmond, VA,USA. |
| Neale MC |
|
Neale |
Michael C |
MC |
|
Virginia Institute for Psychiatric and Behavioral Genetics,Richmond, VA,USA. |
| Aggen S |
|
Aggen |
Steve |
S |
|
Virginia Institute for Psychiatric and Behavioral Genetics,Richmond, VA,USA. |
| Heath A |
|
Heath |
Andrew |
A |
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Department of Psychiatry,Washington University in St Louis,St Louis MO,USA. |
| Colodro-Conde L |
|
Colodro-Conde |
Lucía |
L |
|
Genetic Epidemiology, QIMR Berghofer Medical Research Institute,Brisbane, Queensland,Australia. |
| Couvyduchesne B |
|
Couvyduchesne |
Baptiste |
B |
|
Genetic Epidemiology, QIMR Berghofer Medical Research Institute,Brisbane, Queensland,Australia. |
| Byrne EM |
|
Byrne |
Enda M |
EM |
|
Genetic Epidemiology, QIMR Berghofer Medical Research Institute,Brisbane, Queensland,Australia. |
| Martin NG |
|
Martin |
Nicholas G |
NG |
|
Genetic Epidemiology, QIMR Berghofer Medical Research Institute,Brisbane, Queensland,Australia. |
| Gillespie NA |
|
Gillespie |
Nathan A |
NA |
|
Virginia Institute for Psychiatric and Behavioral Genetics,Richmond, VA,USA. |
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| INVESTIGATORS |
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| JOURNAL |
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| VOLUME: |
| ISSUE: |
| TITLE: Psychological medicine |
| ISOABBREVIATION: Psychol Med |
| YEAR: 2018 |
| MONTH: Dec |
| DAY: 19 |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Internet |
| ISSN: 1469-8978 |
| ISSNTYPE: Electronic |
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| MEDLINE JOURNAL |
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| MEDLINETA: Psychol Med |
| COUNTRY: England |
| ISSNLINKING: 0033-2917 |
| NLMUNIQUEID: 1254142 |
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| PUBLICATION TYPE |
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| PUBLICATIONTYPE TEXT |
| Journal Article |
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| COMMENTS AND CORRECTIONS |
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| GRANTS |
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| GENERAL NOTE |
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| KEYWORDS |
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| KEYWORD |
| Depressive symptoms |
| diagnosis |
| major depression |
| neuroticism |
| twin modeling |
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| MESH HEADINGS |
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| SUPPLEMENTARY MESH |
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| GENE SYMBOLS |
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| CHEMICALS |
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