2013
DOI: 10.1098/rstb.2012.0129
|View full text |Cite
|
Sign up to set email alerts
|

Using the high-risk family design to identify biomarkers for major depression

Abstract: One contribution of 11 to a Theme Issue 'The neurobiology of depression-revisiting the serotonin hypothesis. II. Genetic, epigenetic and clinical studies'. The familial nature of major depressive disorder (MDD) is now well recognized. We followed children and grandchildren of probands with and without MDD to examine transmission of depression over generations, and to identify early vulnerability markers prior to the onset of disease. The study now includes three generations and five completed assessment waves … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
24
0
1

Year Published

2013
2013
2022
2022

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 36 publications
(27 citation statements)
references
References 71 publications
0
24
0
1
Order By: Relevance
“…The findings may not generalize to other racial or ethnic groups, to a purely community sample, or to adolescents whose parents have psychopathology other than depression. Nevertheless, the high risk research design is used frequently among researchers investigating depression in adolescents (e.g., Abela et al, 2005; Lau, Rijsdijk, Gregory, McGuffin, & Eley, 2007; Talati, Weissman, & Hamilton, 2013). Studying offspring of individuals with a particular disorder is recommended when trying to identify risk factors associated with the disorder, particularly prior to its onset (Ingram & Siegle, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…The findings may not generalize to other racial or ethnic groups, to a purely community sample, or to adolescents whose parents have psychopathology other than depression. Nevertheless, the high risk research design is used frequently among researchers investigating depression in adolescents (e.g., Abela et al, 2005; Lau, Rijsdijk, Gregory, McGuffin, & Eley, 2007; Talati, Weissman, & Hamilton, 2013). Studying offspring of individuals with a particular disorder is recommended when trying to identify risk factors associated with the disorder, particularly prior to its onset (Ingram & Siegle, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Participants were enrolled in a multi-generation, 30-year longitudinal study of families at high and low risk for major depression that employed stringent selection and assessment procedures as detailed elsewhere (Talati et al, 2013, Weissman et al, 2016a, Weissman et al, 2016b). Briefly, probands were initially selected for the presence or absence of a lifetime history of major depressive disorder (MDD) from outpatient psychiatric clinics and their urban community in New Haven, CT (Weissman et al, 1982, Weissman et al, 1992).…”
Section: Methodsmentioning
confidence: 99%
“…Offspring and grandchildren of depressed patients are at increased risk for developing depressive and anxiety disorders (e.g., Talati et al, 2013, Weissman et al, 2016a). In agreement with EEG findings at rest for MDD patients (e.g., Bruder et al, 1997), descendants of probands with MDD, compared to those without, had greater alpha activity over right than left parietal regions, presumed to indicate reduced right parietal activation (Bruder et al, 2005, Bruder et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Genetic transmission is a recognized factor in depression and heritability runs at about 40 per cent for major depression [6]. The studies presented by Talati and co-workers [7] reminds the readership that the risk for depression can be transmitted over generations, and a major part of this transmission is due to genetic transmission from parents to offspring. The family cohorts collected by this group offer perhaps the strongest genetically related group with potentially greater homogeneity for identifying significant linkage between specific genetic loci and depression using high-throughput genome sequence analysis.…”
Section: Genetics Epigenetics and Depressionmentioning
confidence: 99%