A genome-wide screen for depression in two independent Dutch populations.
- Authors
- Schol-Gelok, Suzanne; Janssens, A Cecile J W; Tiemeier, Henning; Liu, Fan; Lopez-Leon, Sandra; Zorkoltseva, Irina V; Axenovich, Tatiana I; van Swieten, John C; Uitterlinden, AndrΓ© G; Hofman, Albert; Aulchenko, Yurii S; Oostra, Ben A; van Duijn, Cornelia M
- Year
- 2010
- Journal
- Biological psychiatry
- PMID
- 20452571
- DOI
- 10.1016/j.biopsych.2010.01.033
BACKGROUND: Depression has a strong genetic component but candidate gene studies conducted to date have not shown consistent associations. METHODS: We conducted a genome-wide parametric and nonparametric linkage analysis in a large-scale family-based study including 115 individuals with depression who were identified based on the Hospital Anxiety Depression Scale, Center for Epidemiologic Studies Depression Rating Scale, or use of antidepressive medication. Further, we investigated the most promising chromosomal regions found in the genome-wide linkage analysis with an association analysis in 734 individuals in the family-based study and 2373 individuals in the population-based study. RESULTS: Our study demonstrated evidence for significant linkage of depression to chromosome 2p16.1-15 (logarithm of odds [LOD] = 5.13; parametric analysis) and suggestive evidence for linkage in nonparametric analysis to chromosome 5p15.33 (LOD = 2.14), 11q25 (LOD = 2.27), and 19p13.3 (LOD = 2.66). The subsequent association analysis in the family-based study showed region-wide significant association in intron 1 of the OPCML gene on chromosome 11q25 (empirical p value = .04). The association analysis in the population-based study did not show any region-wide significant association, yet showed suggestive association in intron 1 of the APLP2 gene on chromosome 11q25. CONCLUSIONS: Our linkage and association studies suggest a locus for depression on chromosomes 2p16.1-15 and 11q25. The linkage to chromosome 11q25 may be, in part, explained by the OPCML or the APLP2 gene. Further, there is evidence for a role of the GNG7 gene (chromosome 19p13.3).
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
No citations found.
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| A multi-omic approach implicates novel protein dysregulation in post-traumatic stress disorder. | Wang J et al. | β | 2025 | β |
| Profiling gene alterations in striatonigral neurons associated with incubation of methamphetamine craving by cholera toxin subunit B-based fluorescence-activated cell sorting. | Altshuler RD et al. | β | 2025 | β |
| SDFA: a standardized decomposition format and toolkit for efficient analysis of structural variants in large-scale population genomic studies. | Peng W et al. | β | 2025 | β |
| SDFA: A Standardized Decomposition Format and Toolkit for Efficient Analysis of Structural Variants in Large-scale Population Genomic Studies | Peng W et al. | β | 2025 | β |
| The Risk Genes for Neuropsychiatric Disorders <i>negr1</i> and <i>opcml</i> Are Expressed throughout Zebrafish Brain Development. | Habicher J et al. | β | 2024 | β |
| The Role of IgLON Cell Adhesion Molecules in Neurodegenerative Diseases. | Salluzzo M et al. | β | 2023 | β |
| Single Nucleus Transcriptome Data from Alzheimer's Disease Mouse Models Yield New Insight into Pathophysiology. | Weller AE et al. | β | 2022 | β |
| Cofilin Signaling in the CNS Physiology and Neurodegeneration. | Namme JN et al. | β | 2021 | β |
| The genetic basis of major depression. | Kendall KM et al. | β | 2021 | β |
| The role of genes affected by human evolution marker GNA13 in schizophrenia. | Xiang B et al. | β | 2020 | β |
| The Schizophrenia Susceptibility Gene OPCML Regulates Spine Maturation and Cognitive Behaviors through Eph-Cofilin Signaling. | Zhang Z et al. | β | 2019 | β |
| Glycosylphosphatidylinositol-Anchored Immunoglobulin Superfamily Cell Adhesion Molecules and Their Role in Neuronal Development and Synapse Regulation. | Tan RPA et al. | β | 2017 | β |
| Meta-analysis of the COMT Val158Met polymorphism in major depressive disorder: the role of gender. | Klein M et al. | β | 2016 | β |
| The genetics of major depression. | Flint J et al. | β | 2014 | β |
| A genome-wide association study of behavioral disinhibition. | McGue M et al. | β | 2013 | β |
| Translating the evidence for gene association with depression into mouse models of depression-relevant behaviour: current limitations and future potential. | Pryce CR et al. | β | 2013 | β |
| Genome-wide association study of comorbid depressive syndrome and alcohol dependence. | Edwards AC et al. | β | 2012 | β |
| Genome-wide association uncovers shared genetic effects among personality traits and mood states. | Luciano M et al. | β | 2012 | β |
| Linkage analysis for plasma amyloid beta levels in persons with hypertension implicates AΞ²-40 levels to presenilin 2. | Ibrahim-Verbaas CA et al. | β | 2012 | β |
| OPCML gene as a schizophrenia susceptibility locus in Thai population. | Panichareon B et al. | β | 2012 | β |
| Genetics of cortisol secretion and depressive symptoms: a candidate gene and genome wide association approach. | Velders FP et al. | β | 2011 | β |
| No influence of PTGS2 polymorphisms on response and remission to antidepressants in major depression. | Serretti A et al. | β | 2011 | β |
| NTM and NR3C2 polymorphisms influencing intelligence: family-based association studies. | Pan Y et al. | β | 2011 | β |