Genetic Epidemiology, Psychiatric Genetics, Asthma Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
30563581
TITLE
Shared and specific genetic risk factors for lifetime major depression, depressive symptoms and neuroticism in three population-based twin samples.
ABSTRACT
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.
DATE PUBLISHED
2018 Dec 19
HISTORY
PUBSTATUS PUBSTATUSDATE
entrez 2018/12/20 06:00
pubmed 2018/12/20 06:00
medline 2018/12/20 06:00
AUTHORS
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 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.
INVESTIGATORS
JOURNAL
VOLUME:
ISSUE:
TITLE: Psychological medicine
ISOABBREVIATION: Psychol Med
YEAR: 2018
MONTH: Dec
DAY: 19
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1469-8978
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Psychol Med
COUNTRY: England
ISSNLINKING: 0033-2917
NLMUNIQUEID: 1254142
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Depressive symptoms
diagnosis
major depression
neuroticism
twin modeling
MESH HEADINGS
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's