TY - JOUR
T1 - Shared and specific genetic risk factors for lifetime major depression, depressive symptoms and neuroticism in three population-based twin samples
AU - Kendler, Kenneth S.
AU - Gardner, Charles O.
AU - Neale, Michael C.
AU - Aggen, Steve
AU - Heath, Andrew
AU - Colodro-Conde, Lucía
AU - Couvyduchesne, Baptiste
AU - Byrne, Enda M.
AU - Martin, Nicholas G.
AU - Gillespie, Nathan A.
N1 - Publisher Copyright:
Copyright © Cambridge University Press 2018.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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 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 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 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.
AB - 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 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 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 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.
KW - Depressive symptoms
KW - diagnosis
KW - major depression
KW - neuroticism
KW - twin modeling
UR - http://www.scopus.com/inward/record.url?scp=85075805544&partnerID=8YFLogxK
U2 - 10.1017/S003329171800377X
DO - 10.1017/S003329171800377X
M3 - Article
C2 - 30563581
AN - SCOPUS:85075805544
SN - 0033-2917
VL - 49
SP - 2745
EP - 2753
JO - Psychological medicine
JF - Psychological medicine
IS - 16
ER -